STATE OF FLORIDA

DIVISION OF ADMINISTRATIVE HEARINGS

 

 

 

 

CASE NOs. 92-3038

92-3039

92-3040

 

 

SUGAR CANE GROWERS COOPERATIVE OF

FLORIDA, INC., ROTH FARMS, INC.,

and WEDGWORTH FARMS, INC.,

 

 

and

 

 

FLORIDA SUGAR CANE LEAGUE, INC.,

UNITED STATES SUGAR CORPORATION,

and NEW HOPE SOUTH, INC.,

VOLUME III

and

 

 

FLORIDA FRUIT AND VEGETABLE

ASSOCIATION, LEWIS POPE FARMS,

W.E. SCHLECHTER & SONS, INC., and

HUNDLEY FARMS, INC.,

 

 

Petitioners,

vs.

 

 

SOUTH FLORIDA WATER MANAGEMENT

DISTRICT,

 

 

Respondent,

and

 

 

MICCOSUKEE TRIBE OF INDIANS OF

FLORIDA, the UNITED STATES OF

AMERICA, FLORIDA DEPARTMENT OF

ENVIRONMENTAL REGULATION, and

FLORIDA WILDLIFE FEDERATION,

 

 

Intervenors.

 

 

_____________________________________________________________

 

 

DEPOSITION OF

DR. LEO C. POLOPOLUS

 

 

_____________________________________________________________

 

 

 

 

 

 

 

 

ACCURATE REPORTING

A/K/A

MACDONALD COURT REPORTING SERVICE

204 West University Ave., Suite 7, Gainesville FL 32601

(904) 373-1126 ù (800) 329-1133 ù FAX (904) 375-6249

 

 

 

 

Pursuant to due notice, the deposition of the above-

named witness was taken by the Respondent-Intervenor, the

United States of America, before Mary Macdonald, Court

Reporter and Notary Public, State at Large, at 204 West

University Avenue, Gainesville, Florida, on April 14, 15, and

16, 1993.

 

 

APPEARANCES:

 

 

KEITH E. SAXE, Esquire, United States Department of

Justice, Environment & Natural Resources Division, General

Litigation Section, Post Office Box 663, Washington, D.C.

20044-0663;

 

 

RICK BURGESS, Esquire, and SCOTT D. LIEBERMAN, Esquire,

Peeples, Earl & Blank, One Biscayne Tower, Suite 3636, Two

South Biscayne Boulevard, Miami, Florida 33131;

 

 

PATRICK S. COUSINS, Esquire, Popham, Hail, Schnobrich &

Kaufman, Ltd., 4000 International Place, 100 Southeast Second

Street, Miami, Florida 33131;

 

 

CAROL RAEPPLE, Esquire, Hopping, Boyd, Green & Sams,

Post Office Box 6526, Tallahassee, Florida 32314;

 

 

 

 

ALSO PRESENT: Lonnie L. Jones, Ph.D.

Grace Johns, Ph.D.

William Boggess, Ph.D.

 

 

 

 

416

 

 

 

 

 

 

I N D E X

 

 

 

 

SWORN TESTIMONY OF: PAGE:

 

 

 

 

LEO C. POLOPOLUS

 

 

Direct Examination by Mr. Saxe 417

 

 

 

 

 

 

EXHIBITS:

 

 

Polopolus' Exhibit No. 26

Document entitled "Supply Response of the

Florida Cane Sugar Industry and Related

Policy Implications" 462

 

 

Polopolus' Exhibit No. 27

Document entitled "Impact of New Technologies

on Sugar Cane Production and Processing in the

United States, 1970-89", written by Jos‚ Alvarez

and Leo C. Polopolus 475

 

 

 

 

 

 

 

 

417

 

 

 

 

 

 

Thereupon, the deposition of LEO C. POLOPOLUS was

continued on April 16, 1993, commencing at 9:00 a.m.

 

 

DIRECT EXAMINATION (continued)

BY MR. SAXE:

Q Good morning, Dr. Polopolus.

A Good morning.

Q Just a reminder, as a formality, you continue to be

under oath as a continuation of your deposition.

A Yes.

Q When we adjourned yesterday we were wrapping up a

discussion of treatment of baseline analysis and I just had

another couple of questions that I wanted to ask you on that

topic.

To be absolutely clear, on Exhibit 22, on Page 75,

the third table that summarizes the initial analysis

performed for the Governing Board presentation and Funding

Council in August.

A Yes.

Q All the figures in this table concerning lost

acreage and the resulting lost jobs and revenues were

baseline figures subtracted out of these numbers?

A The baseline analysis was conducted in all of that

analysis. We showed it in our August presentation, it's not

presented here, where there was a baseline, which had no lost

acreage. So that the impacts that are demonstrated on this

particular page, as well as our reports in August, show the

"net effect" of the impact of the regulations of imposing

assessments, if any, the BMPs and STAs.

Q Then is it the case that all of the impacts that

are shown on this table, in your opinion, are attributable

solely to the consequences of the SWIM regulations?

A All of the impacts that are shown at the bottom

table of Page 75, of our December 16th report, as well as our

reports of August 7th and August 13th, show the net effects

of the regulations that SWIM Plan would impose on sugar and

vegetable and sod growers.

Q Was the baseline evaluated with respect to your

assumptions on price?

A The baseline was not varied when those regulations

were imposed. So that within the baseline, as the Hazen and

Sawyer report, within the baseline analysis, there are a

series of assumptions that are made in the Hazen and Sawyer

analysis with respect to price and with respect to cost and

with respect to the factors that impinge on what would likely

happen to the economy absent these regulations of the

District.

So the purpose of the December 16th analysis, in

the middle block, was to demonstrate not the impact so much

of the baseline analysis, with respect to varying the

assessment rate, but to show the impact of varying the

baseline assumptions.

If I'm making myself clear.

For example, what is missing in the middle set of

tables, on Page 75, what we should have presented was for the

thirty-five dollars and ninety-five cents per ton with trend,

a twenty-five dollar assessment, we should have shown the

baseline analysis that corresponded with that.

If we had done so, we would have discovered,

without any reservation on my part, that in the baseline,

attached with that set of assumptions there, would have been

all the acreage remaining.

So, with respect to that particular scenario, I

feel confident that the net effect of taking out a hundred

and five thousand nine hundred and ninety-seven acres, at the

price level of thirty-five dollars and ninety-five cents a

ton, with price trend at one point seven percent, price

increase per annum, and the twenty-five dollar acre

assessment, and the STAs and the BMPs, that the hundred and

five thousand acres represents the net impact of the

regulation.

Q Okay.

A Then the next row should have had a baseline

corresponding with that.

Then the third one should have had a baseline

corresponding with that.

But the purpose of this demonstration was to say

that in the baseline analysis one should have been careful

with respect to the assumptions, with respect to price and

price trend. That's the point of that particular table.

We say this is what would happen if you assume that

price, this is what would happen if you assume the other

price, with no trend, and what happens if you didn't augment

the price and you get differential impacts.

Q Okay. In the baseline that I think you indicated

was run but not denominated on the third table. . .

A Yes.

Q . . .for the August ÄÄ or reflected in the August

presentations, were all the corrections made, corrections as

you would describe them, for the flawed assumptions and

methodologies that are described in the top of this?

A Yes, they're done in the baseline, although the

corrections that we described at the top are incorporated in

our baseline, so that when we analyze the impact of the

assessment, the BMP and the STAs, impact is the net impact of

that.

We're not changing prices and assessment rates at

the same time, those already have been done when the baseline

analysis was carried out.

Q Do you remember what the lost acreage figure was

for the baseline?

A In which one?

Q For the August presentation.

The third table summarizing the August

presentation.

A Okay. In the baseline there was no lost acreage.

Q So if I understand correctly, after you corrected

for the alleged effect of omission of income taxes paid by

growers, omission of debt carried by growers, in your

opinion, improper purchase of machinery in 1994, cash without

any debt, the improper use of FLIPSIM modeling technique, the

absence of risk in the sugar cane yield of model farms.

A Yes.

Q And all the rest of those listed defects.

A Yes.

Q You achieved results in which no acreage left

production?

A That's correct.

Again, I would defer to Dr. Richardson, who ran

these particular models and would have all the specific data,

but that's my understanding of our baseline.

Our baseline incorporated all these corrections and

there was still no acreage that was absent, which makes the

main point of this analysis and the point we were trying to

make in the December 16th presentation, is price level

assumptions in the baseline and price trend assumptions in

the baseline are very, very important in the determination of

economic impact of the regulations that might be imposed by

the District through the STAs, BMPs and the assessment.

As we look back to the August presentations we find

that the BMP analysis at that time had an impact on acreage

lost with the STAs of approximately twenty-five percent of

the acreage, with no assessment.

 

 

MR. SAXE: Rick, we would like to have

produced those documents, either in the possession

of Dr. Polopolus or Dr. Richardson, that show the

baseline analysis that can be produced without

compromising specific individual farm economic

data.

MR. BURGESS: You're talking about for the

August presentations?

MR. SAXE: For the August presentation, yes.

MR. BURGESS: There are none in Dr. Polopolus'

possession. We will have to make a response.

So I haven't seen them and they're not going

to be on the privileged list, because they're not

in his possession.

In responding to Dr. Richardson's notice, we

will look at them and see if, in our mind, they are

subject or not subject to the protective order.

What I can guarantee you, Keith, is that they

will be ÄÄ if privilege is asserted, they will be

asserted sufficiently in advance to allow you to ÄÄ

because I know it's a point of contention to allow

you to bring it to the hearing officer's attention,

and have it resolve before Dr. Richardson's

deposition.

MR. SAXE: Okay. That does raise one

procedural question there. There's arguably some

grounds for confusion about production date with

Dr. Richardson's documents, but the notice went out

on the same date as Dr. Polopolus'.

When can we expect the production of Dr.

Richardson's documents?

MR. BURGESS: Well, we're in the same

position, with respect to Drs. Suko, McFaee and

Blocker. We have not received their documents,

because of the pending stay negotiations, and those

depositions are also to take effect during the

stay, so they have to be renegotiated.

I would propose that we, however we decide to

handle these depositions, that were going to take

place while the stay is in effect, that we go from

three weeks before the depositions take place for

the due period of the documents and one week in

advance for the privileged list.

MR. SAXE: Under the agreed procedure for the

production of documents, and the timing of

production of documents, I believe Dr. Richardson's

document production came due under the original

notice date for his deposition, before you filed

your Motion for Protective Order and before the

stay negotiations were an issue. So I don't think

the impact of the stay negotiations gives any

explanation for the failure to produce Dr.

Richardson's documents before this deposition.

MR. BURGESS: Well, we had discussions aplenty

about Dr. Richardson's situation, that he has not

even been in his office for the ÄÄ when the

original notice came out, for me to talk to him or

even be in a position to review his documents, and

because of his conflict with the state and the week

that his deposition was set, we agreed to move his

deposition to May 10th, I think, which May 10th now

occurs during the stay.

I'm going to use the period of time during the

stay to review his documents and to respond to your

notice.

What I'm promising is that there will be a

response sufficient to bring to the hearing

officer's attention, because I know that you are

interested in it; however, we are interested in

protecting the confidentiality and not compromising

our position under the protective order.

MR. SAXE: I understand that.

MR. BURGESS: So what I want to do is comply

in sufficient time, while we discuss the resetting

of the depositions, to allow you to have any

decision on your entitlement to those documents in

advance of Dr. Richardson's deposition.

MR. SAXE: Thank you.

 

 

BY MR. SAXE:

Q Dr. Polopolus, did you review the results of the

baseline one that was prepared for the August presentations?

A I did see some of the results of the baseline.

Q And your testimony is that after the corrections

for all the reported flaws and incorrect assumptions, that

are described on Page 75 of Exhibit 22, the results in the

baseline involve no acreage leaving production.

A That is my understanding.

Q Okay. When I asked you about whether you reviewed

the results, did you personally see results which indicated

to you that no acreage left production in the circumstances

that I just described?

A I know that this table, Exhibit No. 16, on Page 29,

which is entitled, "Price-Cost Squeeze Effect Baseline

Scenario for Twenty-five Percent Debt", that if you look at

that particular scenario you see that in that particular

graph that the annual average cash receipts slightly exceed

annual costs in the year 2003, and this graph was based upon

our baseline analysis.

Q So then let me get back to my question.

Did you personally see documents that established

in your mind that all the allegedly flawed assumptions and

methodological errors were corrected, without any regulatory

impacts, that no acreage left production?

A I believe, to characterize my experience in that

regard, was telephonic communication that I had with Dr.

Richardson regarding the baseline scenario and what was the

likely or ÄÄ well, not only the likely, but what was the

outcome of those results with respect to acreage remaining or

acreage being taken out and, if I recall, the telephone call

back in late July of 1992, the answer to that question was

that there's no acreage that is exiting after we have

accounted for and adjusted for the assumption of taxes and

debt and so forth.

Q Do you use the same three-stage analysis and same

assumptions in constructing the baseline that you ÄÄ I mean,

you with Dr. Richardson, that were used in running the

subsequent regulatory impact. . .

A It is.

Q . . .analysis.

A I defer to Dr. Richardson, but that's my

understanding.

Q Did you see the output from those FLIPSIM runs?

A No.

Q Referring to the graph on Page 29 on Exhibit 16.

A Yes.

Q Is this a hypothetical graph or is that based on

actual data?

A This is based on actual data.

Q From a projection?

A These are model data, but they represent, in my

view, the nature of our findings in the baseline.

Q So, in other words, the projection that this graph

reflects was the baseline analysis that you understand was

performed by Dr. Richardson, prior to the August

presentations?

A It's my understanding that this summarizes, in one

graph, what was happening to revenues and costs in the

baseline, in the analysis that we conducted.

Q What is on the vertical axis, I guess that's what

it is, on that graph.

A Those are dollars in thousands.

Q Do you know what type of costs were included in the

cost curve?

A Again, I defer to Dr. Richardson for the

preparation of the data that are involved in this particular

graph.

They are average unit cost data.

Q What variables, reported on the vertical axis, is

that a percentage of something?

A No. These appear to be average annual receipts of

model farms and average annual costs of the model farm over

the baseline, assuming twenty-five percent debt.

Q When you say that reported on the vertical axis is

dollars in thousands, that would be dollars in thousands per

acre?

A No, no, it's not.

Q So this figure here would be six thousand thousands

or six million dollars.

A Yes. We said it represented a model farm, not an

average per unit of production.

Q So then this would reflect a model farm for which

the revenue under the price model was six million dollars for

that model farm in 1994?

A That's correct.

Q Okay. Do you know which model farm?

A I defer to Dr. Richardson for which model farm was

selected for that particular graph.

Q To be clear, is it your understanding that the

graph is a result of a FLIPSIM run?

A That's my understanding.

 

 

MR. BURGESS: For the record, I would point

out that Dr. Polopolus' graph that we're speaking

of is on the page where Dr. Polopolus has testified

that he doesn't intend to rely on for purposes of

his testimony on any of the data in this August

report, other than the first section of that

report.

 

 

BY MR. SAXE:

Q Dr. Polopolus, earlier we were on Page 74 of this

Exhibit 22, and we were talking about the issue identified

with respect to the Hazen and Sawyer ten-year study,

concerning the farm survival criteria.

A Yes.

Q I want to ask you a few questions about that,

amplify on your testimony yesterday and the day before.

In your opinion, does a change in land ownership

always imply a change in land use?

A Not necessarily.

Q In what circumstances would a change in land

ownership cause a change in land use?

A When that newly applied owner is unable to cover

his costs.

Q What costs would those be?

A Primarily the cost ÄÄ the variable costs, but in

the sense of a debt repayment, in the sense of other factors,

there might be other extenuating circumstances.

Q Can you elaborate on that?

You say primarily variable costs. Tell me what

kind of circumstances would include fixed costs in the

operative costs that might cause a new owner to take land out

of production.

A Well, I defer to Dr. Richardson, who is the FLIPSIM

expert in how one argues about the two operations, besides

quasi-rents, but in my view one can get to a point in the

aggregate of the EAA where one finds it impossible to obtain

adequate credit or adequate resources to continue an

operation, to pay the cash living expenses, for example, of

the farmer.

Q And those would be fixed costs?

A Well, they're not fixed costs. One has to eat.

Q How would this happen, the failure to apply the

credit necessary to continue in production?

A Well, if the financial community at large ÄÄ if the

community and the aggregate looked at the EAA and saw the

trend in economic agricultural enterprises were going in a

negative direction, it's possible that the trend, the

expectation effect of negative declining returns, if it's

clear as your face that the expectation of getting to the

point of total variable costs exceeding total revenue is

there, the banks and even the producers themselves may choose

not to continue that land in production. If the expectation

of profit, in the sense of quasi-rents, is going to turn out

to be negative.

So expectations become a part of the answer.

Q Is it your testimony that SWIM impacts would be the

future expectations that would cause a bank to expect

negative declining returns?

A It's possible, very possible.

Q Can you say why?

A Well, if the operation is showing a marginal quasi-

rent now, but given the expectation of SWIM's assessments and

SWIM's BMPs, adding to that cost, then the question becomes:

Will I be able to survive after those SWIM effects are taken

into effect? And when I say "we" I mean collectively the

agricultural community of the EAA.

Q So then it would be your testimony that banks might

shut down farmers, even while total revenue exceeded total

cost?

A If the expectation was that the SWIM Plan would

have a devastating effect on economic viability.

Q Would banks shut down a farmer in such

circumstances, in the hypothetical, without believing that

they had a more profitable use to put the land to or a

potential buyer for the land, who could continue in

production?

A I think we are assuming ÄÄ we did assume, as we

modeled the December work that was prepared for our

discussion with Hazen and Sawyer, we did incorporate in that

analysis. . .

I lost my train of thought.

Would you repeat. . .

 

 

MR. SAXE: Would you read the last question,

please?

(Thereupon, last question so read by reporter.)

ANSWER BY DR. POLOPOLUS: I was going to say

that in our December 16th analysis, if you recall

my testimony yesterday, we did assume that the

small farms would be acquired and that there would

be a transfer of small farm ownership, as defined

by Hazen and Sawyer, to the larger farm. The

question becomes: Now that we're ÄÄ let's assume

that now all the land is held by one or two or

three or four, but a very small number of large

farms, and let's say that in that scenario that the

likelihood that the profit rates are ÄÄ and profits

here I mean the quasi-rents ÄÄ are very close to

negative, but they're still positive, and then we

add to that scenario the likelihood of the SWIM

Plan where we add assessments.

I believe I read some of the statements of Dr.

Johns in a presentation at a Governing Board

meeting where the average cost of that plan was

eighty-three dollars an acre, but, whatever that

number is, let's assume that the cost of the SWIM

Plan is eighty-three dollars an acre. Now, what

would that do to the financial community if you're

already teetering on the brink of economic

disaster, close to meeting the Hazen and Sawyer

rule of land use going out, and you add to that

eighty-three dollars an acre, because of the SWIM

Plan, how will the financial community react?

My professional opinion would be that they

would react: Maybe this is not the place to add

new resources.

 

 

BY MR. SAXE:

Q Dr. Polopolus, let me get back to the question, if

I could.

We started out by probing into those circumstances

in which bankruptcy will lead to land going out of

production.

As I understand the last question that you just

gave, you indicated that your treatment in the analysis thus

far, I think you were referring to the early initial

analysis, correct me if I'm wrong, if the analysis was done

also for the December 16th meeting, but as I understand your

testimony, you're saying, in effect, that when small farms

went bankrupt, it was assumed that they were acquired by

large farms.

So that I have it clear, that's not a circumstance

in which the bankruptcy leads to land going out of

production, correct?

A No. We did not assume that the land went out of

production in that sense.

Q Right.

Then you said that ÄÄ then in your answer you moved

on to those circumstances, when basically there was, as I

understood it, all land had been consolidated into a few

large farms?

A That was a hypothetical scenario that I presented.

Q Well, I'm trying to understand when bankruptcy

leads to land going out of production, in the hypothetical

that you have given. So far the small farms went into large

farms, so land didn't go out of production.

A Right.

Q Now we have large farms.

Can you take me from there and tell me in what

circumstances land ÄÄ that large farm owned land would go out

of production where total revenue exceeded total costs, but

there was expectation of declining revenues?

A What is your question?

 

 

MR. SAXE: Would you read the last question?

(Thereupon, last question so read by reporter.)

ANSWER BY DR. POLOPOLUS: The point is that

total revenues will not exceed total operating

costs, given the impact of the SWIM Plan and the

point we try to make here is that the manner in

which we have been utilizing FLIPSIM is to be more

conservative than Hazen and Sawyer, arguing that we

will keep the farm in production, even when quasi-

rents are negative.

 

 

BY MR. SAXE:

Q What I'm asking is. . .

A And so when you add that FLIPSIM impact it would,

most likely, cause that total variable cost or total

operating cost to exceed total revenue.

Q What I'm asking though is when will it ever be the

case that land goes out of production while total revenue

exceeds total costs?

 

 

MR. BURGESS: I think he's answered that

question in each of the last two days, when he said

in his opinion it would not. . .

MR. SAXE: In his opinion it would not?

MR. BURGESS: Not.

MR. SAXE: Not.

 

 

BY MR. SAXE:

Q Is that correct, Dr. Polopolus?

A Well, I made one exception to that, and that is

when there is the expectation, clear expectation, that the

immediate direction is very negative.

Q So in that limited circumstance, land might go out

of production even while total revenue exceeded total cost,

and that limited circumstance would be when there was a clear

expectation of it.

A That that would happen.

Q Okay. In that limited circumstance, where land

might go out of production, that land going out of production

would be a function of bank foreclosure or lender

foreclosure, lender shutting down the land?

A Not limited to that.

Q What other circumstances?

A Well, the individuals themselves, they take a look

at the capital that may be left and the land values that may

be left and they look at the opportunity cost of that capital

that they may have and they may try to apply that capital, if

possible, in alternative uses, which would likely have a much

higher return.

Q Would they sell the land or would they simply idle

it, retain ownership, but not do anything with it?

A Either possibility.

Q And would it be your testimony, in this limited

circumstance, where total revenues exceed total costs, but

there's an expectation of declining revenues, the buyers of

the land might not continue production on the land?

A First of all, in the scenario we've painted, we're

talking about huge investments. We're talking about huge

investments and one would have to see who would enter to the

question of entry. It's not a question of entering normally

in agricultural production where we're talking about a fifty-

acre farm and a fifty-acre farm goes out of business and will

there be a replaced entrant taking over, what we're talking

about in this scenario, that we have painted, with relatively

few large farms remaining, who has the production expertise,

the capability and the financial resources to enter?

So this would create a rather constraining barrier

to entry and one would have to assess whether or not there

are investors who would be willing to enter.

Now, that's an empirical question where one would

have to try to make that determination and, in my

professional opinion, if these large and previously efficient

operations are unable to make a go of it, why would I want to

risk my capital in this declining enterprise?

Q Are you saying that all farmers make less than

eighty-three dollars an acre in quasi-rents?

A Pardon?

Q Are you saying that all farmers make less than

eighty-three dollars an acre in quasi-rents?

A It depends on the set of assumptions and the point

of time that you're talking about.

Q In the EAA.

A Again, it depends on the set of assumptions and the

point in time in which you're talking about.

Q I'm speaking empirically, in real live conditions

in the EAA.

A Again, we're talking about economic impact over a

ten-year scenario and to take focus on economic returns in

one period of time. It doesn't do justice to an economic

analysis.

Q How about now in the present?

A What do you mean?

Q Quasi-rents, are farmers making less than eighty-

three dollars per acre in statistical fiscal year 1992-1993?

A Some might, some might not.

Q So then would it be your testimony that you're

confident that not all farmers are making less than eighty-

three dollars per acre?

A I don't know the data.

Q Do you know what current quasi-rents are in the

EAA?

A I defer to Dr. Richardson's data for that. That's

not something that I follow.

Q Do you disagree with Dr. Johns' estimate of an

average of three hundred and twenty-seven dollars per acre

returns to land?

A I don't. . .

Q For the period '86 to '90?

A I have not reviewed ÄÄ I have not analyzed his

work.

Q So you have no opinion on the veracity of

those. . .

A No.

Q . . .conclusions?

A I have not tried to valuate.

Q Are you familiar with any instances in the United

States where there were significant numbers of farm

bankruptcies in a region?

A We have gone through various periods in American

agriculture where there have been bankruptcies.

Q And can you identify for me instances where there

were regional bankruptcies on a significant scale that

resulted in land going out of production?

A Well, we can talk about Alachua County.

Q Okay.

A At one time it was famous for cotton production and

we were leading in the state ÄÄ the leading county in the

State of Florida, in cotton, but there were economic

circumstances that led Alachua County out of cotton a little

bit after Reconstruction.

So, I mean, we can take all kinds of scenarios, all

types of history and we know that history is replete with

areas that may not have gone bankrupt, but land may have been

idle.

So one has to look at a combination of factors in

land use.

Land use patterns change in American agriculture

and it's possible that land use patterns could change in the

EAA.

Q Is that always the case in those instances where

bankruptcies lead the land going out of production, that

there's no next-best use for the land when the land goes out

of production?

A There's always some use for the land.

The question is, what economic use?

One use of the land is to idle all of it. Some

people may prefer that. Another use is to utilize the land

in a productive way to provide employment, income, economic

opportunity.

Q Would banks foreclose on both land and machinery

loans, based on expectations about the future?

A I would defer to Dr. Richardson, because I'm not a

financial expert.

Q Just for clarification.

Earlier in your testimony you were referring to

banks shutting down production. Could you just explain to

me, for the record, what you mean by shutting down

production?

A Cease making new loans.

Q Why would there be any value left in the land and

machinery if total costs exceeded total revenues?

A There would be scrap value in machinery.

Q In a farmer's decision-making process, what factors

would cause the farmer to idle land as opposed to changing

the use of land?

A Excuse me, I lost the first part of that question.

Q In a farmer's decision-making ÄÄ economic decision-

making, what factors would cause the farmer to idle land as

opposed to changing the use of the land, except for idle, as

defined as a use?

A Better off-farm employment, alternative employment,

looking at the human resource now, in terms of how that human

resource might be employed, relative the use of that human

resource managing land.

Again, American agriculture is replete with

examples and I think we find that the larger percentage of

American farmers spend more time off the farm than they do on

the farm, and in those scenarios, in many situations, there

is less intensive land use to seek higher total family income

by what is called sometimes off-farm employment.

Q Is this true for the EAA?

A I don't think that's completely characteristic of

the EAA.

I'm speaking of American agriculture in general.

Q Dr. Polopolus, did you teach advanced production

economics at Louisiana State University in 1963?

A Yes, I did.

Q So that I understand the relationship between your

testimony today and the work that has been done so far, in

preparing for the August presentations and the December

meeting with Hazen and Sawyer.

Is the theory that you're describing here today,

namely a limited set of circumstances in which bankruptcy

might lead the land going out of production, even while total

revenues exceeded total costs, is that treatment the same

treatment that was used by the team in the analysis done for

the August presentations?

 

 

MR. BURGESS: Object to the form.

MR. SAXE: Grounds?

MR. BURGESS: It's compound and I lost my

train of thought.

MR. SAXE: Okay. Let me try to clarify it.

 

 

BY MR. SAXE:

Q In the analysis that was performed for the August

presented analysis results, was the land taken out of

production only in a limited ÄÄ was land taken out of

production where there was change in ownership, only in the

limited set of circumstances that you described?

A I'm not sure that I understand the question, but I

believe I have answered this several times about the criteria

that we used, both in August and in December, in determining

when land went out of production.

I believe that I have said several times that land

goes out of production, according to a three-step process,

which goes beyond total variable costs exceeding total

revenue.

So the hypothetical that you're talking about of

let's assume total revenue exceeds total operating costs, it

doesn't properly and fairly characterize our analysis.

Q Okay. Let me just read you some statements and if

you would tell me whether you agree or disagree with them.

 

 

MR. BURGESS: Tell us where you're reading

from.

MR. SAXE: From my own notes.

 

 

BY MR. SAXE:

Q Under the twenty-five dollar per acre assessment,

the market value of the land would fall.

Is that true or false?

 

 

MR. BURGESS: Object to the form.

 

 

BY MR. SAXE:

Q Do you agree that under the twenty-five dollar per

acre assessment, as analyzed thus far by you and Dr.

Richardson and Peterson Consulting, and whoever else has done

so on behalf of the League, that the market value of the land

would fall?

 

 

MR. BURGESS: Object to the form.

ANSWER BY DR. POLOPOLUS: I defer to Dr.

Richardson, who conducted the FLIPSIM analysis and

made the computations of land value under that

scenario, but one would have to look at what was

land value before the twenty-five dollar assessment

and what it was after the twenty-five, and make a

determination as to what happened to land value.

My guess is that the additional twenty-five

dollars assessment would reduce land values by a

tad.

 

 

BY MR. SAXE:

Q Do you know what Dr. Richardson assumed happened to

land values in the twenty-five dollar per acre scenario?

A No, I do not.

Q Are you familiar with the market value of

agricultural land in the EAA?

A I have read some material about it, but I'm not an

expert on land values in the EAA.

Q Do you have any understanding of what some

representative values of land in the EAA are?

A I haven't read any contract or I have not seen any

contract or read any information regarding current sales of

land, if that's what you are referring to.

Q All right. Speaking in the hypothetical, can you

tell me what levels of agricultural income, in the sense of

residual returns to land and risk, would result in the EAA,

in land values at three thousand dollars per acre?

A Well, land valuation has been used to

capitalization methods, as opposed to market methods.

I thought your line of questioning at first was

trying to consider the market valuation of actual sales.

If one uses the capitalization formula as a basis

for determining land value or imputing the land value, it

doesn't mean that land sold at that value, but that land has

that inherent value.

It's basically for agricultural land. It's capital

value or ÄÄ excuse me, quasi-rent divided by the level of

interest rate or risk associated with that investment. That

assumes that the asset is an asset that is producing in

perpetuity and that's generally the assumption we make in

agriculture.

Q Is agriculture use the highest and best use of land

in the EAA?

A I believe it is.

Q In your understanding, is a market value and use

value, in the EAA, yield the same numerical value?

A Not necessarily.

Q Is there a significant variation?

A There could be.

Q If there's perfect information on the part of the

market, is there significant variation?

A If there is perfect knowledge, perfect information,

by both buyers and sellers, there should not be a large

discrepancy.

Q So, theoretically, if ag use is the highest and

best use of land in the EAA, whether you use the use

valuation method of arriving at a value, or a market

valuation approach, you should get roughly the same total

value?

I guess, returning to my question, if you gave me a

number, tell me and I'll apologize, but could you tell me

what level of residual returns for land and risk would be in

the EAA, that would support or result in a use valuation of

three thousand dollars per acre?

I have a calculator, if you would like to use that.

A I don't need a calculator for that.

Q Okay.

A But one has to take two pieces of ÄÄ the equation

if capital value is equal to quasi-rent, divided by the rate

of interest. That's the equation.

Q Okay.

A You said that the land value is three thousand; is

that what you said?

Q Yes.

A If assuming that the capital value is three

thousand dollars per acre, what is unknown at that point is

the quasi-rent and what is unknown is the level of risk of

interest rate.

So we have two unknowns and only one known.

Okay. So economists debate about the rate of

interest.

So what is the market rate of interest to

appropriately use, in analyzing this land valuation for the

EAA?

Well, one would have to say: What is the risk

associated with agriculture investment in the EAA?

Possibly without the SWIM Plan the level of risk

might be minimal. It could be that given the possibility of

the SWIM Plan the risk factor might change.

So you have to forecast through this scenario of

SWIM Plan: What is the likely risk? And attach that risk to

the level of interest.

In my view, the likelihood of SWIM Plan adds

uncertainty and adds risk.

So whatever the prevailing market rate for long-

term funds are, I would add some degree of risk to the

denominator of that equation.

So what level of risk? What's the number? I don't

know, but let's say a high level of risk in today's money

market would be ten percent. So if we assume ten percent,

given the returns on funds, and add a high level of

additional risk due to the SWIM Plan, then I come out with ÄÄ

if that's the level of risk, and given the constraint that we

have land value at two thousand an acre, net returns of three

hundred an acre would produce three thousand dollars.

Q And that ten percent interest rate, in your rough

analysis, would that be appropriate in the SWIM scenario? In

other words, that reflects the high risk that SWIM entails?

A I would have to give some thought to that and I

would have to confer with others who are more expert in land

valuation and appraisal than I am.

But for purposes of this discussion, that seems

reasonable to me.

Q That would be ÄÄ the three hundred dollar figure,

that would be net to land only?

A That's the return to land.

Q Do you know what the present capitalization rate is

for ag use valuation in the EAA?

A No.

Q Okay. Dr. Polopolus, I'd like to flip the page to

77, of Exhibit 22.

A Okay.

Q And talk about the issue identified as mill

efficiency.

A Yes.

Q The first observation by Dr. Polopolus and Dr.

Richardson listed in that column so titled is:

"No increasing trend in mill efficiency."

Does that represent your observation or opinion?

A That may be reaching a bit, a little bit.

Q Well, I guess my first question is ÄÄ I think I

understand where your answer is going, but let me break it

down.

Was that your language when this document was

prepared?

A Dr. Richardson and I were involved in the

preparation of that language and I'm trying to recall the

circumstances under which ÄÄ and the factors under which that

particular phrase was prepared, but I believe in the

discussions we had with Hazen and Sawyer on that day that

this was presented to her.

I believe we were more concerned in talking about

the inaccuracies that Hazen and Sawyer had conducted in

establishing the rate of mill efficiency.

So I think it's a question of degree rather than a

question of yes or no.

Q Would you define mill efficiency for me?

A Yes, that refers to the cost of mill cane, either

on the basis of cuttage of cane or on the basis of raw sugar

produced.

Q When you say cost of mill cane, what costs? Which

costs do you mean?

A Those are the costs that are involved in the

processes associated with milling: receiving the sugar cane,

preparing the sugar cane and slicing it, extracting the

sucrose from the cane, evaporating the sucrose, producing the

raw sugar, and so forth.

Q You indicated that it would be an amount expressed

either in terms of dollars per ton of cane or dollars per

pound of sugar: I believe raw sugar.

Would the dollars per pound of raw sugar be an

appropriate measure of that cost?

A That's one way to view it, yes.

Q My question is, is it an appropriate. . .

A It's an appropriate measure.

Q All right. When I asked before about breakdown of

which costs, are you referring to total costs or variable

costs?

Well, let me rephrase that.

What I was looking for is an answer relative to the

concepts of total costs versus variable costs only or long-

run costs versus short-run costs.

Can you address that for me?

A Yes, I can address that.

Dr. Alvarez and I have written papers on that,

using publicly available data. We have written a book that

includes data on the costs of milling cane in Florida and

other parts of the United States and Canada.

There are fixed costs and variable costs and the

U.S. Department of Agriculture provides us data on fixed

costs and their costs and so forth.

Q When you said earlier in your testimony that in

reconsidering this statement "no increasing trend in mill

efficiency", you did not use the word reconsidering, but in

the context of my question, that your opinion was really that

it was a question of methodology for determining whether or

not how large a trend there is and, therefore, it was a

question of degree as opposed to existence of an increasing

trend; is that correct?

A That's correct, and as we look forward to receiving

Hazen and Sawyer's twenty-year analysis, we tend to give

additional consideration to the mill efficiency, in light of

whatever Dr. Johns provides in her report, because this is

a -- as we look forward to the twenty-year period, the

question of technology and the question of the impact of

increased mechanical harvesting and factors of that nature

 

 

 

 

453

 

 

need to be evaluated to determine whether or not the

historical trends that are well-known and can be documented

using a variety of techniques, whether those historical

trends will be perpetuated over the next twenty years.

So history, recent history, may not be a guideline

for projecting mill efficiency in the future.

When I said our observation here may be skewed a

little bit harshly, in that December 16th document, I was

referring, in my comment, too, as we looked at past history.

I'm not saying that past history would say that

there is not increasing trend in mill efficiency, but what

I'm saying is that in past history that there is a

considerably less trend toward mill efficiency than as was

represented by the Hazen and Sawyer report of July 31, 1992.

A Who estimated mill efficiency in your analysis or

in the analysis for the December 16th figures?

 

 

MR. BURGESS: Keith, do you mean estimated for

purposes of making the statement? If you don't,

then what figures are you referring to?

 

 

BY MR. SAXE:

Q Okay. Referring back to the determination of

economic impacts under the three price trend scenarios in the

second table on Page 75, I guess it is, which summarizes

 

 

 

 

454

 

 

 

 

analysis done preparatory for the December 16th meeting.

Now, who estimated mill efficiencies in this

analysis?

A I would like to answer by saying that Page 75 --

okay. Compare Page 75 and Page 77.

Q All right.

A With respect to our comments on Page 77, where we

said: "No increasing trend in mill efficiency", on the same

date.

We more appropriately made the statement, on Page

75, that the mill efficiency trend overstated, and that's

what I was trying to say this morning.

Q I understand.

A As to who did that analysis, in reviewing Dr.

Richardson's analysis, I did my analysis, Dr. Richardson's

analysis was much more refined than my analysis, in looking

at this, and I looked at the figure number in the Hazen and

Sawyer report, where the cost data per ton of cane, I

believe, or per acre, but the efficiency numbers from 1964 to

1990 there was an egression.

Q Okay.

A In reviewing the mill efficiency work of Hazen and

Sawyer, I did review the data in the chart and attempted to

relate that data to the finding by Hazen and Sawyer that mill

efficiency increased by two percent per year and -- excuse

455

 

 

 

 

me, the two percent per year appeared to be not the result of

applying the regression equation that appeared in that graph,

but it appears that that computation was based on taking

simply two values, the value for 1964 and the value for 1990,

simply dividing ÄÄ excuse me, taking the difference of those

values and dividing by the number of years as the average

rate.

If one did that one got an estimate that was

approximately two percent, but not exactly the number that

was presented on the report, but the report gave the

impression to the reader that the trend line is represented

by the regression equation, was the efficiency that was used

in the analysis.

Dr. Richardson actually did the regression

analysis with that data and discovered it ÄÄ if my memory is

correct ÄÄ that the average rate of mill efficiency over the

1964-90 period was point seven percent or something like that

per annum, not two percent.

So that leads us to the conclusion that the mill

efficiency trend in the Hazen and Sawyer report is overstated

and that is the statement that we make on Page 75 of our

presentation of December the 16th.

Q Dr. Richardson's historical period was the same?

A Using the same time period, to my knowledge, and

the same data points.

Q To your knowledge, Dr. Richardson didn't use 1951

through 1990 as the historical period.

A It's possible, but you would have to ask him

exactly.

It's my recollection that it was the same, but. . .

Q If he did use a period or if one did use an

historical period that went back before that point in time,

when the presently existing southern mills in the EAA, to

find the total number of mills in the EAA, would there be any

problems with selecting such an historical period for the

analysis?

A My understanding of mill efficiency is ÄÄ it's

possible that the number of firms in the sample may have some

effect, but more importantly there's considerable variability

in year to year in mill efficiency and that leads us to ÄÄ

and one would have to ask Dr. Richardson about some of his

other models that he used to determine mill efficiency, where

he takes the sucrose level as a variable and puts that into

the equation of mill efficiency, and my understanding is when

that operation is done, that regression equation is run, that

the sucrose accounts for most of the variability in

efficiency, not the efficiency of the plant itself.

Q Let's clarify that, if we can.

Dr. Polopolus, we're talking here about mill

efficiency. When we talk about yield trends ÄÄ when we talk

about yield, is it the case that yield would be a function of

both the tonnage of cane per acre and the amount of raw sugar

recovered of ÄÄ per ton of cane?

A Are we talking about recovery or yield on the farm?

Q Yield recovery of the mill, excuse me.

A In my view, yield recovery is the amount of sugar

that can be extracted from a given ton of cane.

My point is, that recovery rate is not only a

function of the efficiency of the mill, but of the inherent

sucrose level of cane, which is weather dependent and a

number of other factors, variety, and so forth.

Q And you refer to that as a mill recovery?

A The mill recovery ÄÄ I refer to it as just the

recovery of sugar from the ton of cane, but the factors that

lead to that recovery rate is more complex than was described

in the Hazen and Sawyer report.

Q So mill recovery, is that the same thing as

recovery rate?

A It can be expressed as a rate.

Q And recovery rate would be a function of both the

sucrose content of the cane and the technological ability to

extract that sucrose content from the cane?

A That's correct.

Q Okay. Can you break down that recovery rate into

an extraction efficient component and sucrose component?

A I didn't do that, but Dr. Richardson has done that

in his regression analysis at this point.

Q Do you have an understanding of relatively how much

effect or how much contribution was attributable to each of

those two?

A My impression, after looking at the regression

results of Dr. Richardson at a meeting that we had, was that

most of the efficiency, so-called efficiency, is attributed

to the sucrose level.

Q In your work with Dr. Alvarez, have you documented

an increasing trend in mill efficiency?

A In my work with Dr. Alvarez we have analyzed the

USDA data on both fixed costs and variable costs of Florida

sugar cane mills and compared that cost with the costs of

milling in Louisiana, Texas and Hawaii and sugar industries.

Q Okay. Going back for a moment to the work that Dr.

Richardson did and in analyzing mill efficiency.

Do you know where the data was received or derived

for the sucrose content component?

A No, I do not.

Q Okay. Is it your opinion that mill efficiency is

likely to either stay constant or decline in the future, as

opposed to increasing?

A The question, is it likely that. . .

Q Yes. . .

A The costs go up or down?

Q No. Mill efficiency.

I'm asking you whether, in your opinion, it's

likely that that mill efficiency won't increase in the

future. In other words, that it will stay constant or

decline.

A Again, for clarification, is the question will the

mills become more efficient or less efficient in extracting

sugar per ton of cane, or will the cost per unit of

production go up or down as a result of the efficiency or

inefficiency in milling?

Q You can start with the first.

A Let me start with the cost per unit.

Q Which is the second.

A Which is the second.

Q Okay.

A Cost per unit of the mills we have noted, both in

our book and our publication of a paper we gave in Miami, I

think two years ago, that the costs of milling per unit of

production in Florida has declined in the last decade. Part

of that decline is due to technology and part of that decline

is due to economics of large sales.

Now, Dr. Alvarez and I have not done an analysis to

determine which of those two had a greater impact on

declining costs.

Now, as we look forward to the twenty-year

scenario, what has not been done and what is open for

determination is the extent to which there will be new

technologies, their extent to which there will be variety

with higher sucrose levels that will permit lower unit costs,

on that side of it, the technological side of it, and there

needs to be done, as we mentioned yesterday, the analysis of

the economies of scale to determine if land is withdrawing

from production what it will do to unit costs of milling as

the scale of the industry contracts.

So those may be offsetting forces. They may be.

One of these forces may overweigh the other. That

analysis has not been done, but needs to be done, and likely

will be done, given time and resources to carry that out, and

assuming that there is some difference of opinion on this

issue with the Hazen and Sawyer twenty-year study.

Q When you say cost per unit, you mean cost per pound

or cost per acre?

A Usually, preferably, to express it in dollars per

pound of raw sugar produced.

Q Okay. When you say it has declined, due to

technology and does that include ÄÄ in other words, does your

answer refer to the development of the cane variety as part

of the technology?

A Yes, it does.

Q Okay. So would it be fair to say that you don't

have an opinion as to whether mill efficiency will go up or

down in the future?

A At this point I really don't. I haven't studied

that carefully myself.

Q All right. I want to just briefly take a look at

another document, and I'm not sure whether this was one of

the documents in your production or not, it's possible that

it wasn't.

I'm referring to a staff paper by Carolyn A.

Advincula, Leo C. Polopolus, Ronald W. Ward and Jos‚ Alvarez,

of the Food and Resource Economics Department at IFAS, dated

November 1992 and it's entitled, "Supply Response of the

Florida Cane Sugar Industry and Related Policy Implications",

and I have an excerpt of it here, which I will show you.

There's some statements on Page 34 and I'm going to read

them.

Actually, I only have one copy of this, if you

would like to read it with me.

 

 

MR. BURGESS: For the record, we provided a

copy of that paper ÄÄ is that the document?

DR. POLOPOLUS: Then I should have a copy of

it right here.

MR. BURGESS: Yes.

(Document described above, so marked as Polopolus'

Exhibit No. 26.)

 

 

BY MR. SAXE:

Q Referring, Dr. Polopolus, to what has been marked

for identification as Exhibit 26, and that is the ÄÄ would

you confirm for me that that appears to be the complete

version of the Staff Paper Series that I referred to a moment

ago?

A Yes.

Q Okay. Turning to Page 34, the paragraph, second

one up from the bottom, and I'm reading:

"The design and operation of mills in the last

twenty years has reflected an emphasis on throughput rather

than efficiency. Overall recovery rates (sucrose in sugar as

a percentage of sucrose in cane) of sixty to eighty-five

percent area common, whereas rates of eighty-five to ninety

percent could be achieved in the same mills with minor

investment and improved operating techniques.

"Moving from seventy to eighty-five percent overall

recovery would reduce sugar costs by twenty to thirty percent

depending on additional investment requirements."

A Yes.

Q Is that a fair reading of that paragraph?

A That is a reading of that paragraph, yes.

Q Thank you.

Did this express your opinion at the time of the

publication?

A Not necessarily.

I would like to place this paragraph in the context

of this document.

This paragraph is a part of a Master's thesis by

Carolyn Advincula, a graduate student, under the supervision

of myself, Professor Ward and Professor Alvarez.

The primary purpose of that Master's thesis was to

estimate supply elasticities of sugar production in Florida

and that was the main thrust of that.

As part of that thesis, Carolyn Advincula was asked

by her committee to, in addition to estimating the supply

elasticities, which we believe she did very well, with

different methodologies and so froth, she was asked by her

committee to try to put the findings of supply elasticity in

the context of public policy, and she wrote a number of

things, including that paragraph, which I don't agree to

personally, but the committee as a whole was willing to

include that in a staff paper, which clearly on the front

page says that these: "Staff papers are circulated without

formal review by the Food and Resource Economics Department."

What we're now doing with this staff paper is

circulating it for comment and we're in the process of

drafting papers, and the specific paper for publication and

public presentation, and I can assure you that that paragraph

is not going to be a part of a scientific journal article

representing our thinking.

Ms. Advincula did no thesis resource or processing

costs, that was a quote she picked up from some reference, it

doesn't represent my view of that subject at the time and it

does not represent my view of that subject necessarily at the

present time ÄÄ so it's just one of those statements that is

there and I'm a party to the statement, but not necessarily a

willing party to the statement.

Q Tell me specifically what about the statement you

disagree with.

A I don't ÄÄ what I disagree about it is the fact

that there's no substantiation of reference and no basis upon

which that statement is made. So I'm not sure that at this

point ÄÄ I'm not sure from what source that material is

derived from, but it's not derived from the thesis directly.

Q Do you know whether any peer comments have been

received concerning the staff paper?

A Dr. Alvarez and I are preparing a paper for

presentation at the sugar cane short course that will be held

in May in Belle Glade and working with Dr. Ward, Dr. Alvarez,

myself and Carolyn Advincula, we're purely focusing on our

publication documents, the sugar supply elasticity

coefficiency, not the sort of ephemeral passages in the back

that try to give implications.

Q Do you know who chaired Ms. Advincula's committee?

A I did.

Q Is not the chairperson ultimately responsible for

the staff paper?

A The committee is.

Q Would it be possible for us to get a copy of Ms.

Advincula's Master's thesis?

A Certainly.

Q Tell us of your dissent, as I called it, or your

disagreement, as you referred to it.

Did you express this disagreement in writing?

A Not to my knowledge.

Q Did you express disagreement orally?

A It's possible.

Q But you don't recall?

A I don't recall. No, I don't recall.

Q Do you know whether you expressed your disagreement

to the other members of the committee?

A I don't recall.

Q Were you Ms. Advincula's major professor on this

thesis?

A Yes.

Q But would it be fair to say that you are dissenting

now; is that correct?

A Certainly.

Q Do you know whether anyone has studied future trend

in mill efficiency on behalf of the League or within the

League?

A I'm not aware of anyone.

Q Okay. Does the distinction between extraction

efficiency and sucrose content make a difference to eighty

percent of the sugar crop?

A Would you repeat that question?

Q Given the level of integration in the EAA, between

mills and growers, does the distinction between sucrose ÄÄ

make that economic difference between sucrose extraction

and. . .

A I really don't know.

Q Okay.

A It's a good question. I would have to think about

that.

Q Do you know what the comments of the other

committee members were, regarding the paragraph that we read

into the record?

A I don't recall, I really don't. We were really

preoccupied in this thesis of the elasticity determination,

which was done very well.

Q Do you know what the basis was for the paragraph

that we have been referring to? When I say basis, I

understand that you disagree with the conclusions, but do

know where Ms. Advincula obtained the data or whatever other

support she referred to in making the statement?

 

 

MR. BURGESS: Object to the form, asked and

answered.

MR. SAXE: Let me rephrase the question.

 

 

BY MR. SAXE:

Q Dr. Polopolus, with respect to the ÄÄ getting back

to Exhibit 22.

A Okay.

Q Page 77, the issue of mill efficiency.

There's a comment there: "Need to review longer

historical period."

A Yes.

Q Does that reflect your opinion?

A Yes, it does.

Q The next comment there: "Increased mill returns

are retained by the mill."

I think we had some extensive discussion of that

yesterday in the context of price level; is that correct?

A Yes.

Q Is there anything additional to the discussion that

we had yesterday or. . .

Is there anything additional to your testimony of

yesterday regarding the relevance of increased mill returns

to determining the price level that should be added with

respect to this comment in the context of the mill efficiency

issue?

 

 

MR. BURGESS: Are you asking him whether he

recalls testimony on this ÄÄ testimony that he gave

yesterday, and asking him if in addition he wants

to add. . .

MR. SAXE: Not too broadly, but in texture.

MR. BURGESS: You don't want him to repeat his

testimony.

MR. SAXE: That's right.

 

 

BY MR. SAXE:

Q We received some testimony yesterday about the

issue of increased mill returns.

A Yes.

Q You also listed that, in support of yours and Dr.

Richardson's identification of a defect involving mill

efficiency, in the Hazen and Sawyer ten-year analysis.

A Yes.

Q Can you tell me why?

A I stand on my testimony of yesterday on this point.

Q And that is the statement concerning what has

occurred in the past?

A I believe so.

Q Is it a statement concerning what occurs now?

A Not necessarily.

Q Is it a statement concerning what will occur in the

future without SWIM? When I say without SWIM, I mean

assuming no implementation of the SWIM measures.

A As we sit here, I am having trouble recalling the

relevancy of that line to this discussion. I don't recall

well.

Q Okay. Can you tell me what would ÄÄ specifically

what should Hazen and Sawyer have done either that they

didn't do or differently from what they did, in order to cure

this defect in your opinion?

A If they had to utilize the regression coefficient

from the trend line that would have been a good step forward.

Q And how would they have walked the rest of the

distance to the proper treatment of this issue?

A Well, then they would have reviewed ÄÄ if, for

example, on the basis of Dr. Richardson's coefficient effect,

we used that as a comparison to the two percent ÄÄ one had

point one seven percent coefficiency and one continued to

argue that that would represent, in the future, increased

profits on the mill, and one model that, through that twenty-

year period, whatever the time horizon one is analyzing, it

still said at the end of the period that it would still be

that, and then made a determination of how much of that

increase would then be augmented to growers, the difference

between say a point seven and a point one seven ÄÄ excuse me,

between a point seven and one point seven added to the price,

in alternative series, we think would lead to different

baseline results in the Hazen and Sawyer study. I presume

that in the twenty-year study that this statistical issue has

been resolved, that the regression equations are demonstrated

as to what they are, what the coefficients are, what the

standard errors ÄÄ all that statistical methodology there,

and we'll just wait for that report to see whether or not we

might take issue with both the methodology and the substance

on this particular issue.

Q Is the point seven percent estimated by Dr.

Richardson exclusive of sucrose content?

A Yes. When he added, the efficiency goes to zero,

because it's non-significant, as I recall his analysis, and

one doesn't have the basis for ascribing any mill efficiency

and, therefore, the price augmentation becomes zero if one

uses that framework of analysis.

Q Similar to the question I asked a short while ago.

Given the level of integration in the EAA, is the

distinction then significant to a large percentage of the

production in the EAA, production of processing in the EAA?

 

 

MR. BURGESS: Object to the form, asked and

answered.

 

 

BY MR. SAXE:

Q You can answer.

A I would have to think about it. It's a good

question.

Q All right. Do you know what the trend in sucrose

content over time is?

A It's variable.

Q Does that mean that there is no trend?

A I have not looked at the data recently on it, but

my impression is that it's a wash, it goes up and goes down

and may or may not be a trend.

We do know there is considerable turnover in variety

and if we speak to yield variability and the sucrose content of

the varieties, what we know is that there is considerable

attrition in varieties and many of the varieties that are

commonplace today will not be commonplace a few years hence.

The question is why, and the answer is because of

the breakdown in resistance to pests and disease, and it

requires a considerable research effort on the varietal side

to maintain yield and to maintain sucrose.

So in looking at that issue, you would have to

project forward the research and development of new varieties

so that they can replace the degrading effects of the present

varieties.

Some of these points are covered in a paper that

Alvarez and I presented, so this is not news for the members

in the cane breeding area.

Q Do you know whether there has been any statistical

analysis of whether there is a trend in this sucrose content?

A I believe Dr. Richardson has done some with the

data that he has.

Q Do you know whether there was a statistically

different trend?

A I don't really recall on the trend basis of

sucrose.

Q Are you familiar with the goal of varietal research

in terms of sucrose content?

A I believe the goal is to try to increase the level

of sucrose. I don't think there's any doubt about the goal.

The problem is with the execution of the goal.

Q What specifically is the problem with the execution

of that program that's resulted in the variability that you

have described?

A What I have said is that there is attrition, there

is turnover, as we have looked at the specific variety

developed, sugar, corn, others that were developed and

released. As the industry grows, there are certain varieties

that are developed for muck land, others that are developed

for sand land, certain varieties that are developed for

mechanical operational situations, there are other varieties

that are developed for land harvest and so forth.

So there is a lot of varietal work underway and

there's a lot of transition in them.

My point earlier was that no single variety has

dominance and can maintain its viability and its yield and

sucrose content in perpetuity and. . .

Q When you say attrition and turnover, what did you

mean by that?

A Well, I'm saying that ÄÄ a release number, a

varietal number, a hypothetical number, CP-165327, that

particular variety may account for thirty percent of the cane

variety on muck in 1972, but only five percent of the cane

land that is in the muck in say '92.

Q So it's a problem of growers not continuing in

maintaining their experimental conditions.

A No, it's nature that overtakes the effect of

scientists in the application of that variety over time,

pests and diseases become more prevalent, resistance that is

bred into them wanes, new predators attack and so forth.

Q So in your opinion there has been no historical

success with increasing the sugar sucrose content?

A Weather and nature, through acts of God, appear to

have more influence on these factors than the acts of man in

the development of varieties. So it's a battle of science

versus nature here, and I'm not sure that science has won

this one.

Q Is the continual change in varieties, that you have

described, unusual among agricultural varieties in other

crops?

A In my experience it appears to be more dominant, it

seems to raise its ugly head more prominently than in say

watermelons, where I have some familiarity, or let's say the

Crimson Sweet variety, which is a standard variety, it's been

here a long time and will continue to be here a long time.

Q Dr. Polopolus, I can elect to ask you a couple more

questions about a document that was produced with your

documents, and a copy of which I'm not sure that I have

directly at hand, so I'm going to let you refer to this copy

here.

 

 

MR. BURGESS: Page number?

MR. SAXE: DPL 244.

MR. BURGESS: It's not an exhibit yet?

MR. SAXE: No.

MR. BURGESS: Do you want to have it in front

of you? I can find mine for him.

MR. SAXE: Yes, that would be great.

 

 

(Document entitled "Impact of New Technologies on

Sugar Cane Production and Processing in the United

States, 1970-89", written by Jos‚ Alvarez and Leo C.

Polopolus, so marked as Polopolus' Exhibit No. 27.)

 

 

BY MR. SAXE:

Q Dr. Polopolus, I'm showing you what has been marked

for identification as Number 27.

A Yes.

Q Do you recognize that document?

A Yes, I do.

Q Could you identify it for the record and for me?

A That's a paper written by Jos‚ Alvarez and Leo C.

Polopolus, entitled: "Impact of New Technologies on Sugar

Cane Production and Processing in the United States, 1970-

89."

Q Would you return, please, to Page No. 7 of that

document.

A Yes.

Q Under the subsection entitled "Costs of

Processing", there's a paragraph on variable costs.

A Yes.

Q It says: "Average variable costs of processing per

net ton of sugar cane and per pound of raw sugar have

remained relatively stable during the last two decades (Table

8 and Fig. 6). When 1982 is used as the base year, several

ups and down very close to the base year are portrayed. In

fact, the highest positive and negative changes are less than

ten percent. Since the data represent current, and not

constant, dollars, it is fair to state that real variable

costs of processing per net ton and per pound of sugar have

declined during the study period."

Can you tell me what that last sentence means?

"Since the data represent current, and not constant, dollars,

it is fair to state that real variable costs of processing

per net ton and per pound of sugar have declined during the

study period."

A Yes, that means that the data presented in Table 8

had not been deflated by some price index.

Q On Table 8, the number of years in the study

appears to be eight years; is that correct?

A I believe that is correct.

Q So is it the case that in this case eight years of

data have been used to find an increasing cost for sugar

processing?

A That was the framework that was chosen in this

analysis.

Q Does this document reflect your opinion on the

matters presented in the document at the time it was

published? I say published, I'm not sure if it was, I'm just

assuming that it was.

 

 

MR. BURGESS: Dr. Polopolus, if you need to

review the paper in order to answer the question,

please feel free to do so.

ANSWER BY DR. POLOPOLUS: This paper was

presented at a conference, it's not been published,

and the primary author was Dr. Alvarez, but I do

believe that the statements reasonably reflect my

opinion at the time they were prepared.

 

 

BY MR. SAXE:

Q Do declining real costs of milling reflect an

increase in mill efficiency?

A It could, but if we look at the data again on Table

8, it says per pound raw sugar, we can see considerable

variability from year to year for Florida.

The sentence that you quoted was a sentence that

related this discussion to the United States as a whole and

not to Florida, per se.

Q Is this statement, in your opinion, inapplicable to

Florida?

A It may not be. I would have to do an analysis of

it with respect to Florida and see whether or not that

similar conclusion would be reached for Florida, but the

paper addresses the United States, not Florida.

Q In theory, if real costs per net ton of cane are

dropping, does this indicate an increase in mill efficiency?

A It could.

Q Under what conditions might it not?

A I can't think of any at the moment.

Q If you return to Page 8 of this document and the

conclusion section.

A Yes.

Q Under "Conclusions", the second paragraph, the

third sentence that begins with the word "But".

A Yes.

Q And I'm reading:

"But, after considering relative shifts in acreage

and yields, it was concluded that biomass yields, although not

in a significant manner, did increase in Florida and Hawaii

during that period." Do you agree with that statement?

A Well, it says not in a significant manner, so it

did increase it a little bit.

Q Do you agree with this then?

A I agree with the way it's written. It's not a

significant increase.

Q Next sentence:

"Sucrose content increases, on the other hand, were

obvious and higher than biomass yield increases."

Do you agree with that sentence?

A That relates to the United States as a whole.

Q That does not relate to Florida and Hawaii?

A One would have to ÄÄ you know, if I recall, the

analysis that Hawaii had had higher levels of sucrose

increases than other areas, but I can't recall where Florida

waded in, in relation to Louisiana, Texas and Hawaii. The

statement refers to the United States as a whole.

Q Okay. And you don't recall whether it's applicable

to Florida?

A I can't recall. I would have to look at it.

Q How much of U.S. cane ÄÄ how much of the total

production of U.S. cane is produced in Florida?

A An increasing share.

Q Approximately how much, at this point in time, in

terms of percentage?

A That figure is in our scenario data, as well as in

Hazen and Sawyer's economic profile data, but it depends on

whether you're talking about domestic sugar production or

domestic cane sugar production.

Q With respect to domestic cane sugar production, is

it your understanding that more than fifty percent is

produced in Florida?

A Let me answer the first one first, mainly with

respect to all domestic production, Florida would account for

about twenty-seven percent and with respect to domestic cane

sugar production, Florida would be slightly above fifty

percent.

Q If you would just turn to Page 3 of this document

for me.

A Yes.

Q In the second paragraph from the bottom.

A Yes ÄÄ excuse me, what paragraph?

Q The second paragraph up from the bottom, not

including the footnote.

A Yes.

Q The last two sentences of that paragraph, and

there's some reference to other statements in the paragraph,

so I'm not trying to take it out of context, but my focus is

on the last sentence.

I'm going to read it. It says:

"The same can be said about Florida's yields, where

most of the acreage expansion has taken place on marginal

lands. Maintaining the same yield level on less productive

Florida lands is a clear sign that cultivar releases have

resulted in more sugar cane production."

With respect to that last sentence, do you agree

with that statement that maintaining the same yield level, et

cetera?

 

 

MR. BURGESS: Dr. Polopolus, if you need to

review the paragraph, feel free to do so.

DR. POLOPOLUS: I'm having a hard time getting

the context of the sentence.

 

 

BY MR. SAXE:

Q It would probably be good to look at the paragraph.

A I believe one would need to go to the second full

paragraph on that page to get an overall view of what is

trying to be discussed in this particular passage, and that

relates to yield trend, and the sentence here is:

"Sugar cane yield in Hawaii about two and a half

times, about four times, and about three times higher than

the national average, Louisiana's and Florida's respectively,

while acreages in Hawaii and Louisiana have been decreasing

and increasing in Florida (Table 4). This means that, either

acreage increases in Florida and/or yield increases

generally, have more than compensated for the acreage

declines in Hawaii and Louisiana."

I think what you read is in the context of that

thrust, if I read that properly.

Q I'm sorry, have you finished your answer, Dr.

Polopolus?

Well, let me put the question this way.

If maintaining the same yield level on less

productive lands has been achieved through new cultivar

releases, is it fair to say that on a given acre that new

cultivar releases have resulted in more sugar cane yield?

A It's possible.

Q Is it likely?

A It's likely.

Q As acreage in Florida has increased, has cane

production moved on to less productive lands?

A It's my understanding that that is correct, it's

moved on to less productive land and to some extent sand

land.

Q If the Florida state average yield has remained

constant, given that expansion characteristic, doesn't that

mean that yield on existing land must be increasing?

A Not necessarily, because I believe ÄÄ here again I

defer to Dr. Richardson, who has spent some effort in trying

to determine, at one state of our analysis, yields in what

are known as less productive lands versus yield in the Zone

Belts 1 and 2, and I believe his conclusions to me on that

score were that there is as much yield variability in what

are known as the more productive lands than there is in the

less productive lands and that through management, through

good management, essentially the same or higher yields can be

obtained in the so-called less productive lands.

So it doesn't necessarily follow that "the less

productive lands provide lower yields", it's a function of

management.

Q Wouldn't you expect that increasing yield on

existing acres would be accounting for that phenomenon?

A That could be.

Q Is it likely, in your opinion?

A It's possible, but as I said, again, it's also

possible that good management on less productive lands could

offset any liability that that land might inherently have.

Q Which do you think is more likely, is a more likely

explanation: the good management on less productive lands or

increasing yields on existing lands?

A I don't know. One would have to ask Dr. Richardson

his findings on that, but in our earlier analysis, when we

reviewed the Hazen and Sawyer report, we came to the

conclusion that the location of the land was not as important

as management and size. So it may or may not be true, and I

really don't know.

 

 

(Thereupon, a short recess was had; whereupon, the

following proceedings were held:)

BY MR. SAXE:

Q Dr. Polopolus, back to Exhibit 22, Page 76, a new

issue and that's Issue No. 3, Debt.

A Yes.

Q I want to direct your attention to the statements

under "Observations by Dr. Polopolus and Dr. Richardson" of

that column.

A Yes.

Q The first one on debt says:

"EIS. . .", which I assume that means Economic

Impact Statement.

A Yes.

Q "EIS should include analysis of debt from fifteen

to seventy percent."

Is that statement representative of your opinion at

the time this document was produced?

A This statement is consistent with earlier

statements we made about sensitivity analysis, with respect

to the debt variable, and our recommendation earlier on was

that Hazen and Sawyer should have included some ÄÄ although

they did not include any consideration of long-term debt,

they should have considered some sensitivity analysis around

debt, so that the percentages there reflected our thinking

about that sensitivity analysis, as I recall.

Q Is that reference to debt, is that long-term debt

only?

A Well, initially it was focused on intermediate and

long-term debt.

At the meeting of economists, on December 16th, and

hearing from Dr. Johns, I believe we were better informed at

that meeting about her treatment of intermediate debt.

So as we sit here today, I believe our concern now

is with the long-term debt issue.

Q Let me jump, just as a tangent and hopefully a

brief one, and then we'll come back.

In light of your testimony, if we could jump to the

next page, Page 77, issue No. 9, "Farm Management".

A Yes.

Q The first four or the first three remarks under

"Observations by Dr. Polopolus and Dr. Richardson".

A Yes.

Q "Machinery should be a mix of old and new."

"M & E," which I think the reference is machinery

and equipment.

A Yes.

Q "M & E replacement needs to be considered."

And the third statement: "Debt on machinery and

equipment should be considered."

Is it the case that those observations are no

longer representative of your opinion about defects in the

Hazen and Sawyer work?

A I really would have to defer to Dr. Richardson on

that. These are primarily his area of responsibility, as to

whether or not we would no longer have a concern about those

first three items listed on Page 77, and a lot depends on how

the twenty-year report deals with machinery and machinery

replacement and the debt on intermediate-level credit.

Q Okay. I'm talking about the ten-year report now,

and in that context, with respect to your prior testimony, I

understood you to say that on the previous page, the comment

on the debt issue, that that economic impact statement should

include analysis of debt from fifteen to seventy percent. I

believe in your testimony you indicated that at first you and

Dr. Richardson were concerned about the treatment of long-

term and intermediate debt, but then after the December 16th

meeting Hazen and Sawyer had revised your opinions with

respect to the treatment of intermediate debt.

Is it fair to say that it's your opinion now that

Hazen and Sawyer's treatment in the ten-year study of

intermediate debt was appropriate?

A I believe that ÄÄ again, I would defer to Dr.

Richardson, but I think that's generally correct, but

responding to the first two lines: "Machinery should be a

mix of old and new machinery and equipment replacement needs

to be considered," I'm not sure that ÄÄ I think those

comments remain with respect to the Hazen and Sawyer ten-year

study.

Q But the next one down, on Page 77, under the "Farm

Management" issue.

"Debt on M & E should be considered."

In your opinion that is no longer applicable?

A I believe that that's our current thinking.

Q That it is no longer applicable?

A Yes.

Q So then would it be fair to say that in your

opinion now debt on machinery and equipment was considered.

A I believe the explanation given by Dr. Johns at the

December 16th meeting clarified the intermediate term debt.

 

 

MR. SAXE: Okay. Would you read back my

question, please?

 

 

(Thereupon, last question so read by reporter.)

 

 

BY MR. SAXE:

Q Now, the question again, Dr. Polopolus.

In your opinion did Hazen and Sawyer consider debt

on machinery and equipment in the ten-year analysis?

A Again, I would defer to Dr. Richardson, who

analyzed this and places a lot of his professional

credibility on the line with this issue.

My recollection of the December 16th meeting is that

Dr. Johns presented an explanation of how she treated that and

I believe that Dr. Richardson indicated to me that he felt that

he was reasonably satisfied that Hazen and Sawyer had included

intermediate term debt in her ten-year study.

Q In your opinion, did Hazen and Sawyer properly

consider intermediated debt in the ten-year analysis?

A I defer to Dr. Richardson as to whether it was

properly considered or not.

Q When you defer to Dr. Richardson, does that mean

that you're not going to be providing expert testimony

concerning the issues which you're deferring to Dr.

Richardson?

 

 

MR. BURGESS: I think he deferred to Dr.

Richardson a number of times during the course of

this deposition and I think it's a fair question to

ask him with respect to the question that is before

him, but I think it would be somewhat unfair to

cast it in terms of the last three days where he's

voiced opinions that has in the main deferred to

Dr. Richardson, and then try to box him in to

saying now that he's going to offer no testimony on

that subject.

MR. SAXE: Understood, Counsel.

 

 

BY MR. SAXE:

Q Let me recast the question.

Will this issue, namely the treatment of

intermediate debt, by Hazen and Sawyer in its economic impact

study, whether it be the ten or twenty-year study, be an

issue regarding which you do not expect to be presenting

expert testimony, but rather Dr. Richardson, who will be

presenting expert testimony?

A I think that's a fair statement.

Q Okay. Going back to the previous page concerning

long-term debt ÄÄ concerning debt, excuse me, Item No. 3.

A Okay.

Q I'm still not clear. Are these comments, the first

comment: "Economic impact statements should include analysis

of debt from fifteen to seventy percent", does that mean that

the Hazen and Sawyer ten-year study should have included an

analysis of long-term debt from fifteen to seventy percent or

also of long-term and intermediate debt from fifteen to

seventy percent?

A It's my understanding that that sentence refers to

the combination of debt, intermediate and long-term, in that

range of, the combined debt, it's my understanding, of

fifteen to seventy percent.

Q All right. Do you know what the basis is of the

fifteen to seventy percent range?

A Not exactly, but I believe it results from Dr.

Richardson's rather vast experience of dealing with debt on

farms throughout America and that that is, from his

experience, a reasonable range within which agricultural

operations find their debt situation.

Q Is Dr. Richardson familiar with debt levels in the

EAA?

A Only generally. We publicly stated that our

criterion for debt was derived from the assumptions about

debt and not from data about debt, but that there was debt,

both intermediate and long-term, and that debt level needed

to be plugged into the analysis, and I don't think I need to

go over the analysis where this long-term debt enters,

because we discussed that several times earlier with respect

to the FLIPSIM methodology we employed.

Q Dr. Polopolus, is this an area in which Dr.

Richardson will be providing expert testimony for the League?

 

 

MR. BURGESS: If you know. It might be better

to ask him, but if you know, you may answer.

DR. POLOPOLUS: Could I have the question

repeated?

 

 

(Thereupon, last question so read by reporter.)

 

 

ANSWER BY DR. POLOPOLUS: I would assume so.

 

 

BY MR. SAXE:

Q Is this an area where you will be providing expert

testimony for the League?

A Possibly not, only as it relates ÄÄ let me qualify

that and say that in doing the aggregate analysis that I will

need to be fully knowledgeable of the FLIPSIM methodology and

the assumptions contained therein, as I conduct any

aggregation and economic impact multiplier analysis

therefrom.

So within that context, I don't intend to be an

expert on debt of individual model farms.

 

 

MR. SAXE: Would you re-read that answer,

please?

 

 

(Thereupon, answer so read by reporter.)

 

 

BY MR. SAXE:

Q Dr. Polopolus, are you presently fully

knowledgeable of the FLIPSIM methodology and the assumptions

contained therein?

A It's a question of fully. I'm knowledgeable, I

have read a lot of Dr. Richardson's manuals and books on it.

So I'll leave it to others' knowledge as to whether I'm fully

expert or knowledgeable about it.

Q Over the course of your testimony, over these last

several days, you have indicated on a number of occasions

that you would defer to the special knowledge or expertise of

Dr. Richardson on issues pertaining to the micro-farm level

impact analysis, which you expect he will be conducting

possibly with FLIPSIM, as you prepare for trial.

A Yes.

Q Is it correct that in those instances, where you

have deferred to him in your testimony, that you do not

presently consider yourself fully knowledgeable of the

methodology or assumptions that he will be using in

performing that work?

 

 

MR. BURGESS: Object to the form.

MR. SAXE: Grounds?

MR. BURGESS: Fully knowledgeable, and I think

the record will speak for itself with respect to

the instances where he has and why he has deferred

to Dr. Richardson.

MR. SAXE: I note your objection, Counsel.

 

 

BY MR. SAXE:

Q Dr. Polopolus, I'll have the question re-read for

you, but before I do that, you testified a moment ago that

you need to be, in your opinion, fully knowledgeable, those

were your words, for the FLIPSIM, and in that sense I am

asking my question about your level of knowledge.

 

 

REPORTER: "Is it correct that in those

instances, where you have deferred to him in your

testimony, that you do not presently consider

yourself fully knowledgeable of the methodology or

assumptions that he will be using in performing

that work?"

ANSWER BY DR. POLOPOLUS: Possibly the word

fully is inappropriate. I would rather use the

word reasonably knowledgeable, and for that I feel

that I am currently reasonably knowledgeable and I

do intend to have an understanding of many of the

matters that are on the table here with regard to

the assumptions used in the modeling effort, for

which I may not prepare myself for testimony in a

trial.

 

 

BY MR. SAXE:

Q I can appreciate your caution with the question.

I tell you now that I'm not really trying to

establish a lack of knowledge on your part of the matters

regarding which you have deferred to Dr. Richardson or

certainly not a total lack of knowledge.

What I'm getting at is the division of areas of the

case between you and Dr. Richardson.

So let me phrase my question with that preface.

On those issues regarding which you have deferred

to Dr. Richardson's expertise during the course of your

testimony, do you expect that Dr. Richardson, instead of you,

will be presenting expert testimony at trial?

 

 

MR. BURGESS: Object to the form. My

objection is that what the question seeks to do is

ask this witness, two and a half days into his

deposition, to recount in each instance where he

has deferred to Dr. Richardson, in one way or

another, but then thought to answer Counsel's

question along the lines of: let me say this, or

in general I think that.

I think that's an improper question for this

witness.

I think, obviously, the better practice would

have been to, in response to Dr. Polopolus'

response in deferring to Dr. Richardson, to ask him

at that time whether he intends, as he sits here

today, to offer expert testimony on this subject

matter.

Given that objection, I think it's an improper

question, but Dr. Polopolus, you can try to

respond.

ANSWER BY DR. POLOPOLUS: I believe yesterday

or the day before I described my likely role in any

litigation that might occur when and if the Hazen

and Sawyer twenty-year analysis is completed, or if

it is not completed, any analysis that we, as

League economists, might conduct, those parameters

of my role were outlined and I can restate those

major roles, if that's the question.

 

 

BY MR. SAXE:

Q That might give me a helpful predicate for

restating the question.

I believe in your testimony earlier you indicated

that in doing either a reactive analysis or, as you called

it, a positive analysis that, correct me if I'm wrong, the

expectation at this point would be that there would be first

a micro-farm level impact analysis done by Dr. Richardson,

after which you would do the aggregation to the industry

level direct impacts, and then the input/output multiplier of

the secondary impacts, and the conversion of FTEs to people;

is that correct?

A Partially.

Q Would you complete it for me so that it is

complete?

A If you recall, I qualified that by saying that in

developing the baseline that I might let ÄÄ I might lend some

of my expertise on certain assumptions in the modeling

effort, for example, price policy, international trade

policy, price level, technology and efficiency, things of

that nature, where I may have some experience to provide to

the team effort.

If I recall my statement, I said if Dr. Richardson

chooses to ask me something along that line that I will be

prepared to offer my advice and information on those, as he

develops the microsimulations.

Q Okay. Let's go down the issue chart briefly and

see if we can clarify it that way.

With regard to Issue No. 1, "Use of FLIPSIM".

A Yes.

Q Do you expect to provide expert testimony at trial

concerning the use of the FLIPSIM issue?

 

 

MR. BURGESS: As it's defined in this exhibit?

MR. SAXE: I don't believe that the issue is

defined in the exhibit.

The issue is identified in the exhibit and

there are some comments about the Hazen and Sawyer

position and observations by Dr. Polopolus and Dr.

Richardson. So, no, I can't say as it's defined in

this exhibit.

MR. BURGESS: Okay. As contained in the

observations. In other words, would he be

testifying concerning Hazen and Sawyer's position

and the Polopolus and Richardson observations, or

just in general on FLIPSIM?

If you understand the question. . .

DR. POLOPOLUS: I'm not sure I do, but

certainly I'm not going to be conducting the

FLIPSIM analysis. That's clear.

 

 

BY MR. SAXE:

Q Okay.

A The next question: Will I be commenting on the

appropriate use or lack of use of FLIPSIM by Hazen and

Sawyer's twenty-year analysis? Maybe.

Q Okay.

A So. . .

Q All right. Thank you, Dr. Polopolus.

Getting back to the debt issue.

A Yes.

Q Did you use a debt level of twenty-five percent of

assets in your evaluation of lost acreage?

A Excuse me?

Q Did you use or did Dr. Richardson or Peterson

Consulting use a debt level of twenty-five percent of assets

in your evaluation of lost acreage?

A I would defer to Dr. Richardson, but my

understanding is that that is correct.

Q Would you clarify whether that is total assets or

value of land?

 

 

MR. BURGESS: Of what is?

 

 

BY MR. SAXE:

Q The twenty-five percent.

A Total assets, I believe.

Q Okay. How were the assumptions on the debt level

of twenty-five percent chosen?

A I would defer to Dr. Richardson for the exact

answer to that, but I recall telephone discussions with Dr.

Richardson about that level and in consideration of that

level where I believe he did preliminary runs at sixty

percent debt and twenty-five percent debt, and some other

ratios of debt, and at that time we felt the twenty-five

percent debt level was a reasonable level to expect for sugar

cane farms in the EAA.

Q All right. On what basis do you think it was

representative of the EAA?

A I defer to Dr. Richardson again, because he had the

primary responsibility for this selection and I can't recall

the criteria upon which that specific number was selected as

it relates to the EAA.

Q Do you have any empirical understanding of the

actual debt level in the EAA?

A No.

Q Do you understand what I mean by empirical

understanding?

A Yes.

Q Does the amount of land debt affect the quasi-

rents?

A No.

Q Referring then to the three-stage criteria for

taking land out of production.

Would you tell me, please, how does the amount of

land debt affect land leaving production?

A It doesn't affect the quasi-rent, but it does

affect the equity-to-asset ratio in our criterion for land

use is the equity-to-asset ratio.

Q When you say your criterion for land use is the

equity-to-asset ratio, if I recall your testimony, the

equity-to-asset ratio was used to determine the probability

of farm survival in that there was some method for

determining land leaving production from the probability of

farm survival. So over the period there would be a number of

steps between the equity-to-asset ratio determination and the

determination of land leaving production; is that correct?

A No. Not many steps.

Q Are there steps between determining the equity-to-

asset ratio and determining land leaving production?

A Yes.

Q Okay. Then how does debt, inasmuch as it affects

the equity-to-asset ratio, affect land leaving production?

A It affects it through the probability of survival.

Q Can you tell me the formulas or methods for

determining if it's leaving production from the equity-to-

asset ratio?

A I would defer to Dr. Richardson on that. He

conducted a stochastic determination of probability and I

would defer to him for that, the answer to that question.

Q In your opinion, in a more focused or limited

question, is it the case that the quasi-rents are positive if

the equity-to-asset ratio falls below point five that land

can leave production?

A That's not a likely scenario, but it may be

mathematically possible.

Q Then that would be a function of the trend?

A That would be a function of the numbers, the

empirical numbers at that point.

Q Why is it not a likely scenario?

A Because, as we said earlier, that most of the

situations where land is leaving production, in our models,

are situations where quasi-rents were negative.

Q All right. When you say most, can you quantify

that for me?

A I would defer to Dr. Richardson, who has all the

computer outputs and all the data.

Q I believe we addressed an aspect of this question

before, but I don't believe it was the same question, so let

me ask.

Did you see the quasi-rents for all the model farms

in your analysis of lost acreage?

A Only some of them.

Q Do you recall which ones you saw the quasi-rents

for?

A At some of the meetings where we were together, we

were together with Dr. Richardson, I saw some of the early on

runs.

Q Early on runs of all model farms or partial early

on runs?

A Of the model farms.

Q Were you shown runs for only large model farms?

A No.

Q Were you shown runs for only small model farms?

A No.

Q Were you only shown model farms in any particular

yield belt?

A I wasn't shown any of the model farms from the

December analysis. I didn't see that because of the time

element in which we conducted that analysis.

The computer results that I saw reflected the model

framework that we had adopted early on, which was the small,

medium and large-size farms.

Q And you saw. . .

A I saw the quasi-rents, I saw the probabilities of

survival.

Q For all those model farms?

A Yes.

Q You testified earlier that your criteria for land

leaving production were more conservative than Hazen and

Sawyer.

Would you explain to me in what sense. . .

You also testified that it's highly possible for

land to leave production when quasi-rents are greater than

zero.

Now, in the Hazen and Sawyer analysis land did not

leave production until total revenues or costs exceeded total

revenues.

So let me, with that preface, let me frame a

question.

How is it more conservative to take land out of

production where quasi-rents exceed zero than it is to leave

land in production until net returns fall to zero?

A That's a good question and I would have to answer

it in the context in which those statements were made.

In the one context, we were talking in general

about my philosophy, not the application of that philosophy

to this FLIPSIM analysis conducted by Dr. Richardson. Dr.

Richardson's analysis is where we are saying we are more

conservative, where we have many instances that he can

document and maybe most instances where the quasi-rents were

negative.

Q Well. . .

A I believe we're beating this quasi-rents issue a

little bit more ÄÄ we're beating it ÄÄ let me strike that and

say that I think we're overemphasizing the positive quasi-

rent issue here.

Q I understand.

Let me move on to another issue.

A Okay.

Q As I understood your testimony yesterday ÄÄ mainly

on Wednesday, but to some extent yesterday ÄÄ the first step

in the aggregation process that you performed from the

results that you get from the micro-farm level impact

analysis, is to convert the probabilities of survival for

model farms, produced by that three-stage FLIPSIM analysis,

into a number of acres leaving production.

We touched on that briefly on the first day of your

testimony and I believe, if I recall, you gave an example in

explaining the procedure from going from probability of model

farm survival to acres leaving production.

Now, can you give me a sufficiently detailed

explanation of the methodology you will use to make that

first step in the aggregation to enable somebody else to

reproduce that result?

A I believe we outlined that earlier in this

deposition.

If you would like me to review those steps, I would

be happy to do so again.

Q I would like you to do that, and I apologize to the

extent that I'm having you recover ground that you already

covered; but, like I said, I believe your account was focused

mainly on an example, although the example is helpful, I

would like to actually have the procedures, formulas,

methods, assumptions that you would be using to make the

conversion.

 

 

MR. BURGESS: Given Dr. Polopolus' statement

that he believes he has recounted this in the past,

my only point, for the record, would be that both

his previous statement in response to whatever

question he was asked on this subject and this

response be read together and that this does not

supplant his previous response.

MR. SAXE: I understand. Thank you, Counsel.

 

 

BY MR. SAXE:

Q Go ahead, sir.

A I believe we have placed into the record, in

Exhibit No. 19, the proper procedure by which I will take the

output from FLIPSIM and convert it into the numbers that will

provide the figures for estimating acres lost, jobs lost and

sales lost, and that example, on Exhibit 19, is tied to our

presentations of materials that we presented to Hazen and

Sawyer economists on December the 16th.

So if one were to take the results of the December

16th table of information that is contained in the middle

block, one could and I could and I'm willing and able, if you

are, to go through the labyrinth of steps that we would

utilize to construct those numbers.

Q Yes, if you would, Dr. Polopolus.

I believe your testimony earlier was to that

effect, that your methods were inferrable from the material

that we have been provided and you gave me an example, but

what I need is to be taken through the steps that you will

use and if you would like you may use ÄÄ if we have a full

set of representative model farms, probability of survival

output here, that is representative of the output that you

will get from the micro-farm level impact analysis process,

then you can use that to illustrate the process as you go.

If what I have here in Exhibit 19 is not sufficient

to enable you to take me through the methodology, then if you

would tell me what other inputs that you will receive from

the micro-farm level impact analysis process, and we'll go

through it.

Dr. Polopolus, our time is somewhat limited, let's

see if we can get through it.

A If this is useful, what I would like to do is take

a particular baseline situation and let's take a baseline

that Hazen and Sawyer used in terms of price level at thirty-

five dollars a ton with price trend.

Q What page are you referring to?

A I'm referring now to the second page.

Q Very good.

A And let's concentrate on sugar cane.

In a later document we have that same price

scenario for vegetables inside.

Okay.

Q Later document than this?

A In this package of exhibits, right.

Q Okay.

A The FLIPSIM methodology gives us the probability of

survival for each of ÄÄ going to the first page, but each of

the model farms, that is, the Hazen and Sawyer model farms,

Ag Belts 1 and 2, combined together, Ag Belt 3, Ag Belt 4, Ag

Belt 5.

Now, having the FLIPSIM result, what it says on the

first page of Exhibit 19, under that price, let's just keep

this price and not change price levels, but thirty-five

dollars and ninety-four cents for a time, with a one point

seven percent trend, in the fourth block, at the twenty-five

dollars per acre assessment, it said that for Ag Belt Zones 1

and 2, that both the average size farm, sixty-four thousand

acres per farm, and the small size farm remain in production.

Q One moment, Dr. Polopolus.

Generally it's not general practice for the

attorney to interrupt the witness during his testimony, but

because we're going to go through a lengthy account on your

part, if you don't mind, if I don't understand something that

you're referring to, I'll just interrupt you briefly and ask

you to explain.

A No problem.

Q Which of the figures in this cell, at the bottom of

Ag Belt 1 and 2 block, indicates the probability of survival?

Is it the zero percent figures that I see on the table?

A No. We have to look at the fourth block under

"Price".

Q Under "Price"?

A Under "Price", where it says assessment per acre.

Q Okay. So it's one hundred percent.

A It's saying the survival rate in Zone Belts 1 and 2

is a hundred percent, so nothing goes out there, and it's

telling you, the top of that column, the number of acres, it

represented seventy thousand acres, and for the small farm

fifteen thousand.

This from Hazen and Sawyer's models.

Q Does the probability of survival differ by Ag

Belts, because of yield differences in the belts?

A All of the above. For the modeling, that's a

factor.

Q Okay. Go ahead.

A Okay. So we're not taking any acreage out.

Now, as we move across the row and come to Ag Belt

3, where we have the average size large farms being thirteen

thousand acres per farm and the small farm, the average size,

being six hundred and forty acres per farm, where the

aggregate acreage in that belt is thirty-three thousand acres

for the large farms and the aggregation of the acres is

thirty-eight thousand for the small farms, we find that with

a twenty-five dollar assessment, moving down to the fourth

row, we find that the large farms did not ÄÄ the large farm

had no fatality, so to speak, but there was little fatality

for the small farms.

Okay?

Q That would be the ninety-eight percent figure.

A That would be the ninety-eight percent figure.

Okay?

Q Okay.

A But when we look at the acres remaining, the third

number in that column, it says that even though there was a

probability of mortality of four percent for the small farm,

as you recall my earlier testimony, that acreage did not

leave production, because there was a probability of more

mortality, because they were bought by the larger farm.

Q Dr. Polopolus, how was the lost acreage of zero

determined from the probability of survival of one hundred

percent from Model Farm 2 and ninety-eight percent from Model

Farm 6?

A Because the rule that we apply, that the smaller

farm would always be acquired by the larger farm in the zone

belt. So the probability. . .

Q Pardon me.

In all circumstances?

A In all circumstances.

Q Okay.

A So the acres remaining remains seventy-one

thousand.

Q But is there a change now in the acres attributed

to the different model farms for this column for Ag Belt 3?

A It was seventy-one thousand to begin with.

Q Total acres?

A Seventy-one thousand before the imposition of the

SWIM Plan. It was seventy-one thousand ÄÄ the STAs were not

in that zone belt, so they did not impact that belt, even

though there was some loss of some small farms, they were

bought by large farms.

Q Where is that reflected?

A It's reflected in the fact that in that right-hand

part of that column it's seventy-one thousand under total

acres represented. It's seventy-one thousand acres remaining

with the assessment of twenty-five dollars per acre.

Q What is the loss ÄÄ I understand that, this is a

different question.

Where is the loss of two percent of the small farm

acreage and addition of that acreage to the large farm

acreage in this yield belt reflected on this printout?

A That particular calculation is not represented in

the printout, but it's represented in the final product,

which is seventy-one thousand.

Q By product, you mean the additive product, the sum?

A The sum.

Q Okay.

A The sum remains the same, because it was the. . .

The key variable here is: What is the probability

of surviving acreage of the larger farm in that zone belt?

If that probability is a hundred percent, it will not affect,

irrespective of what the small farm percentage is, it will

not affect the survivability of the acres remaining for that

zone belt.

Q If I understood your earlier testimony of a

formula, if you will, for determining acres leaving

production for the small model farm, is that the percentage

of bankrupt acres, if you will, is always acquired by the

large model farm in the yield belt and so, by definition,

there is no loss of small farm acreage in any circumstance?

A That is correct.

Q In terms of out-of-production land?

A Yes.

Q Just a redistribution.

A A redistribution, that's correct.

Q All right.

A Now, we go to Ag Belt 4.

Q Okay.

A In Ag Belt 5, with a twenty-five dollar assessment,

with the STAs and with the BMPs all implied by this, there is

a survival rate of sixty-eight percent for the small farms

that average sixty-four hundred per acre, and aggregate

acreage of ninety-four thousand acres in that belt, and large

farms in that belt, which average thirty-two thousand acres

per farm, for which there are sixty-two thousand total acres,

in that scenario ÄÄ excuse me, in that ag belt the FLIPSIM

gave us the result of sixty-eight percent survival for the

small and ninety-five percent survival for the large.

Okay?

Q Okay.

A Now, all of the small farms that went bankrupt or

exited were acquired by the large, but this aggregation led

to the total acreage, because of the ninety-five percent

survival of the larger farm, this meant that the hundred and

fifty-six thousand acres that we began with now becomes a

hundred and fifty-one thousand three hundred and ninety-six,

whatever that number is.

Q Dr. Polopolus, once again forgive me for

interrupting, but I think it's unavoidable here, because of

time constraints, but you said it led to a drop in the next

acreage or total acreage in the yield belt remaining in

production.

A Yes.

Q I need to know how exactly it leads to ÄÄ how you

calculate exactly ÄÄ let me finish the question. . .

There's sixty-eight percent probability of survival

in this cell for Model Farm 7, that means thirty-two percent

mortality, if you will, for Model Farm 7.

A Yes.

Q Now, if I multiply thirty-two percent times the

ninety-four thousand acres that are in that Model Farm 7, I

come up with thirty thousand eighty acres.

So if I understood your previous testimony, this

thirty thousand eighty acres will be transferred to Model

Farm 3, the large farm, in this yield belt; is that correct?

A If I understand what you're saying, yes, I believe

that is correct.

Q So far all I have done is I have moved thirty

thousand eighty acres from one model farm to another model

farm category in this yield belt. That means now that my

total acreage, attributable to Model Farm 3, if you will. . .

A Yes.

Q . . .would be sixty-two thousand originally, plus

the thirty thousand eighty.

A Yes.

Q Now, I'm going to add those two on my calculator.

A Yes.

Q I come up with ninety-two thousand eighty acres. . .

A Yes.

Q . . .now in the Model Farm 3 category remaining.

Okay. Now take me ÄÄ I've got ninety-two thousand

eighty acres now under Model Farm 3, and under Model Farm 7

I've got sixty-three thousand nine hundred and twenty acres

with a total ÄÄ of course, at this point it still should be a

hundred and fifty-six thousand acres. Let me just check.

Yes, a hundred and fifty-six acres.

I have just redistributed it under your methodology

from small farm to large farm.

A Right.

Q Now, how do I get from a hundred and fifty-six

thousand acres, that I still have after redistribution, to

the one hundred and fifty-one thousand three hundred and

ninety-six that is shown here?

A You take the ninety-five percent of a hundred and

fifty-six and you should get very close to a hundred and

fifty-one thousand three hundred and ninety.

Q So then the theory or the formula that the

probability of survival of the large model farm means that

after small farm acreage going bankrupt is acquired by large

farm, the mortality percent of bankrupt large farms leave

production, so the bankrupt large farms always leave

production in the aggregation that you do to convert from

probability of survival to acres leaving production.

A Plus whatever remaining acreage there is from the

small farm.

Q That leaves production as well?

A No, it doesn't.

Q I'm just talking about the land leaving production.

A Excuse me.

Q Let me restate it.

The percentage of large model farms going bankrupt,

multiplied by the total acreage attributable to the large

model farms after you do the redistribution from the small

farm to the large farm equals the number of acres that goes

out of production for that yield belt, under all

circumstances.

A I think ÄÄ I believe that is correct.

Q Okay.

A And if our mathematics is correct for that zone

belt, we have lost a few thousand acres in that zone belt.

Q Well, let me point out.

If I multiply the one hundred and fifty-six

thousand acres, total ÄÄ well, it's before and after the

redistribution, because the redistribution doesn't change the

sum, times point nine five. . .

A No.

Q Okay. I may have missed something here.

A No, because you have remaining acreage.

Q Oh, I see.

So I only multiply the large model farm

attributable acreage by the point nine five.

A That is correct.

Q Okay. Let me do that.

That leaves eighty-seven thousand four hundred and

seventy-six acres remaining for the large farms, plus sixty-

three thousand nine hundred and twenty acres for the small

farms, which equals one fifty-one three ninety-six acres.

A You got it.

Q Yes, sir, thank you.

A Then we go to the next yield belt and we do a

similar calculation.

Q Same procedure.

A Same procedure, except here, if you'll notice,

here's where, according to ÄÄ and given the Hazen and Sawyer

study, with respect to STAs ÄÄ excuse me, the reports with

respect to STAs and their location, we find that there is a

total of a hundred and thirty-seven thousand acres of which

forty-four thousand are in that Model Farm 8, and ninety-

three thousand in Model Farm 4 or the average size in Model

Farm 4, the larger farm is thirty-two thousand, and the

average small farm is twelve hundred and eighty, the STAs,

Stormwater Treatment Areas, will, according to plan, take out

thirteen thousand acres of Model Farm 4 and fifteen thousand

acres of Model Farm 8, leaving a residual now of acreage

after the STAs of eighty thousand of Model Farm 4, and

thirty-one thousand remaining acreage for Model Farm 8.

Okay?

Q Okay.

A Now, given that, and now taking the price scenario

of thirty-five dollars and ninety-four cents per ton, plus

the one point seven percent increase in price trend per

annum, and the BMPs and the assessment of twenty-five dollars

an acre, result in the survival rate, after having done the

FLIPSIM and so forth, of two percent survival for the small

farms in that belt, forty-two percent survival of the larger

farm in that belt, yielding a final answer of forty-six

thousand nine hundred and eighty acres remaining in that zone

belt.

Q Okay. Dr. Polopolus, this has been very helpful to

me. I obviously haven't had an opportunity to finish going

through this and so, on the record, I'm acknowledging that

time is cutting your answers to the questions short.

Before we adjourn, which is momentarily, there's

one or two more questions I want to ask you on a different

topic.

Dr. Polopolus, in your opinion, do federal, state

and local income taxes determine whether or not land will

leave production?

A They're not used to determine quasi-rents.

Q They're factored into the cash flow analysis?

A Yes.

Q And thereby influence the debt-to-equity ratio?

A Yes.

Q Equity-to asset-ratio, I mean?

A Yes.

Q Okay. And so they impact the determination of

probability of farm survival; is that correct?

A They could.

Q I want to ask you how ÄÄ would it be correct to say

that they do so through the FLIPSIM analysis, three-stage

analysis that results in probability of survival?

A Dr. Richardson can speak to that.

In my conversations with him, they're not major

determinants of impact in any case, but he could answer the

specific impacts that income taxes have on the results that

we obtained.

 

 

MR. SAXE: Well, we're close to adjournment

time, and on the record I want to say that I have

not been able to finish the material that I had

hoped to go through and would, therefore, have to

reserve the right to complete this deposition,

independent of any right to take the follow-up

deposition at some later point in time, and I want

to also say, Dr. Polopolus, that you have been a

most pleasant opponent. Thank you very much for

your testimony.

MR. BURGESS: I would like to also state on

the record that as far as the deposition adjourning

as opposed to concluding, our position, with

respect to the resumption of the deposition, will

be the same as we have taken in our papers in our

motion before the hearing officer, and that is that

this expert should be deposed when his opinions are

final and when the Hazen and Sawyer twenty-year

report has been forthcoming, so that the expert can

finalize his opinions.

Thank you.

 

 

(Thereupon, the deposition was adjourned.)

 

 

 

 

520

 

 

 

 

STATE OF FLORIDA

COUNTY OF ALACHUA

I, Mary Macdonald, Court Reporter and Notary Public,

State at Large, do hereby certify that the witness:

LEO C. POLOPOLUS,

was first duly sworn by me to testify the whole truth; that

the foregoing deposition given by said witness was reported

by me in stenograph, reduced to typewriting under my direct

supervision; that the foregoing pages numbered 1 through 519

in three volumes, inclusive, constitute a true and accurate

transcription of said proceedings.

I further certify that the deposition was taken at 204

West University Avenue, Gainesville, Florida, on April 14, 15

and 16, 1993.

I further certify that I am neither attorney nor counsel

for any of the parties; nor a relative or employee of any

attorney or counsel connected herewith; nor am I financially

interested in the event of the cause.

IN WITNESS WHEREOF, I have hereunto affixed my hand and

seal this 2nd day of June, 1993.

 

 

________________________________

Mary Macdonald

Macdonald Court Reporting Service