Previous Page Table of Contents Next Page


8.2 Why Do Some Farms Spend More Per Unit of Output On Environmental Mitigation?


Chapter 7 showed that differences in practices between large and small farms have led to differences across the size distribution of farms in the efforts expended to mitigate negative environmental externalities per unit of output. Across countries and commodities, small-scale farms have higher environmental mitigation "expenditures" per unit of output than large-scale farms. The exceptions are poultry farmers in Thailand, where large-scale operations in the densely settled export-certified zone spend more per unit than smaller farms, and dairy farmers in Thailand, where the larger scale ones had more crop land than the smaller farms in the sample. It will be recalled that our measure of mitigation is composed not just of money payments to manage environmental problems such as manure and dead animal disposal, but also includes credits for the value of manure spread on fields or sold for spreading on other people's fields.

Why do smaller farms tend to have a higher money value of environmental mitigation activity than larger scale farms? To investigate the determinants of differential behavior more formally, we regress environmental mitigation expenditures per unit of output on a series of exogenous household and farm characteristics that are likely to be associated with higher effort, other things equal. The resulting estimated equations also permits predicting environmental mitigation based on the characteristics of a given farm household (see Chapter 4). The predicted values may be substituted for actual values in latter econometric work where two-way causality is expected for environmental mitigation and per unit profits.

The regressions show clear patterns across countries and commodities. A sample of the estimated relationships is reproduced in Tables 8.1 through 8.4. The following emerges from these results and those for the other commodities and countries not reported here for space reasons, but reported in the Annexes. Higher "expenditures" per unit of output on the mitigation of environmental externalities are typically positively associated with being a smaller farm (except Thailand), being a mixed livestock-crop farmer as opposed to a specialized livestock enterprise, being relatively far from the nearest population cluster (except for small farms in the Philippines), being in a zone where there is active market demand for manure for use on crops (no surprise), and being more highly educated (Thai dairy only). Greater concentrations of animals per farm area were negatively associated with environmental mitigation effort per unit of output in both Thailand and Brazil, where intensive operations are prevalent within the sample areas for this study.

The results for small size of farm and mixed livestock-crop farming are largely driven by the fact that smaller-scale operators are more likely to be less specialized than large-scale farms. They also make a proportionately greater effort than large-scale operators to spread manure as fertilizer. The ratio of animals kept on smallholder farms to area of crops cultivated is smaller, and the marginal utility of income from manure sales is undoubtedly higher. In Tables 8.1 and 8.4, for example, having access to cropland for spreading manure distinguishes environmental mitigation behavior among sample farms belonging to the small farm sub-stratum, but does not explain differences in mitigation behavior among large farms. These results are also consistent with the mass balance calculations in Chapter 7, which emphasize the more sustainable behavior of smallholders who are mixed farmers.

Table 8.1 Determinants of environmental mitigation expenditures on sampled Philippines broiler farms, 2002

EXPLANATORY VARIABLES

Pooled Sample
N=116

All Small-holders
n=70

All Large Farms
n=46

All Contract Farms
n=62

All Independents
n=54

Small Contracts
n=31

Small Independents
n=39

Coefficient

Coefficient

Coefficient

Coefficient

Coefficient

Coefficient

Coefficient

Education of HH head (yrs)

ns

-0.214

ns

ns

-0.246

-0.092

-0.314

Age of HH head (yrs)

0.041

0.058

ns

ns

0.078

ns

0.066

Able to sell manure in last 2 mons. (Dummy)

2.861

4.119

0.410

0.794

4.495

1.283

5.432

Land class is Agricultural (Dummy)

-0.717

-1.202

ns

ns

-1.379

ns

-3.347

Has crop land (Dummy)

1.120

2.214

ns

ns

1.702

1.043

4.402

Within LLDA jurisdiction (Dummy)

ns

ns

ns

ns

ns

ns

ns

Wage rate (pesos/hr)

ns

ns

ns

ns

ns

ns

ns

No. of mortalities in last cycle (birds)

ns

ns

ns

ns

-0.008

0.004

ns

Distance to nearest Residential community (Kms)

-0.154

-0.213

0.127

ns

ns

-0.119

ns

No. of DOCs loaded previous batch (birds)

ns

ns

-0.00001

ns

ns

ns

ns

FCR

2.214

2.956

ns

ns

4.140

ns

4.396

Constant

-6.487

-9.075

ns

ns

-11.540

ns

-12.240

Note: "ns" means statistically insignificant at 10 percent.

Source: Costales, A., et.al., Annex I.

Table 8.2 Determinants of environmental mitigation expenditures on sampled Indian broiler farms, 2002


Coefficients

Dummy for contract farmer (=1)

n.s.

Dummy for small-scale (=1)

1.41392

Family labor (days)

n.s.

Houses within 500 meter radius

-0.00511

Years of experience in broilers

n.s.

Dummy for has regular external info source (1 = yes)

n.s.

State dummy (1 = Haryana)

-1.51862

Dummy for education of decision-maker

n.s.

Dummy for education of decision-maker

n.s.

Dummy for gender of decision-maker

n.s.

Constant

3.12040

N

154

R2

0.306

Note: "n.s." means statistically insignificant at 10 percent.

Source: Mehta, R., et. al., Annex II.

Table 8.3 Determinants of environmental mitigation expenditures on sampled Thai broiler farms, 2002


Coefficients

Farm Size (number of broilers per year)

.000283

Female Dummy

n.s

Ln Age

n.s

Maximum Yr of Education (operator or spouse)

n.s

Years of experience

n.s

Dummy if farm had been in family before the operator

n.s

Distance to village

n.s

Distance to river

n.s

Broiler density in one km radius

-.0000829

Dummy if farm has fish pond

n.s.

Dummy if also crop farm

2.23

Dummy if operator has non farm fish pond

n.s

Constant

n.s

N

131

LR Test chi2 (d.f.=12)

138.10

Note: "n.s." means statistically insignificant at 10 percent.

Source: Poapongsakorn, N., et. al., Annex IV.

Table 8.4 Determinants of farm expenditure on mitigation of environmental externalities in hog production, Philippines, 2002

EXPLANATORY VARIABLES

Pooled Sample
N=203

All Indep. Farms
n=152

All Contract Farms
n=51

All Large Farms
n=95

Large Indep.
n=66

Small Indep
n=86

All Small Farms
n=108

Coefficient

Coefficient

Coefficient

Coefficient

Coefficient

Coefficient

Coefficient

Education of HH head (yrs)

ns

ns

ns

0.017

0.028

ns

ns

Age of HH head (yrs)

ns

ns

ns

ns

ns

ns

ns

Able to sell manure in last 2 mons. (Dummy)

ns

ns

0.104

ns

ns

3.678

3.695

Land class is Agricultural (Dummy)

ns

ns

0.060

ns

ns

ns

ns

Has crop land (Dummy)

0.501

0.578

ns

ns

ns

ns

0.917

Within LLDA jurisdiction (Dummy)

1.342

1.364

0.074

0.283

0.431

ns

ns

Wage rate (pesos/hr)

ns

ns

0.006

ns

ns

ns

ns

No. of mortalities in last cycle (heads)

ns

ns

ns

ns

ns

ns

ns

Distance to nearest Residential comm. (Kms)

0.010

ns

0.001

ns

-0.038

ns

ns

Connection to piped-in water supply

ns

ns

0.078

0.118

0.170

ns

ns

FCR-FE

ns

ns

ns

0.126

0.109

ns

ns

Size of inventory (no. of heads)

ns

ns

ns

ns

ns

ns

ns

Bukidnon (dummy)

ns

ns

ns

0.343

0.382

ns

ns

Constant

ns

ns

-0.143

-0.944

-1.070

ns

ns

Log pseudo-likelihood

-345.96

-279.36

33.01

-34.80

-26.50

-160.35

-191.23

Note: "ns" means statistically insignificant at 10 percent.

Source: Costales, A., et. al., Annex I.

Tables 8.1 and 8.4, both of which are drawn from the Philippines sample, also suggest an interesting scale difference with respect to location: small farms closer to population centers make less of an effort for environmental mitigation, but large farms make more of an effort. This is probably due to the fact that small farms in the Philippines sample were largely concentrated in peri-urban areas where there is little potential for spreading manure on one's own farm, and little enforcement of environmental regulations for backyard operations, even if there was for larger farms.

Another determinant of environmental mitigation that seems to matter is contract farming. Where contract farming is significant, scale differences in environmental mitigation behavior tend to disappear, as both large and small contractors tend to have higher measured environmental mitigation per unit of output than independent farmers, and not very different on a per kg of output basis across different sizes of contract farm. In most of the cases of contract farming studied, the conditions for manure and dead animal disposal were stipulated in the contract, adding some uniformity to procedures, and a degree of environmental friendliness.


Previous Page Top of Page Next Page