Hisham S. El-Osta

The Impact of Coupled and Decoupled Government Subsidies on Off-Farm Labor Participation of U.S. Farm Operators

With the 1996 Farm Act, the United States introduced payments that were designed to be “decoupled.” Labor allocation choices are likely to be affected by receipt of payments, and income from off-farm jobs has been the major source of income for most farm households for sometime. This article examines whether the 1996 change has affected the off-farm labor participation of farm households. We conclude that the observed increase in off-farm participation of farm operators who received payments was not the result of the 1996 policy change. Government payments, whether coupled or decoupled, have a negative effect on off-farm labor participation. Copyright 2006, Oxford University Press.

Technology Adoption Decisions in Dairy Production and the Role of Herd Expansion

Technology adoption in dairy production allows for higher milk yield and lower per-unit costs. The importance of herd expansion and other factors to adoption was examined using a multinomial logit model and data from the USDAs 1993 Farm Costs and Returns Survey. Predicted probabilities of adoption were used to simulate the effect of herd expansion on milk production. Results identified age, size, and specialization in dairy production as important in increasing the likelihood of adopting a capital-intense technology. Education and size of operation positively impacted the decision to adopt a management-intense technology. Age, education, credit reserves, size, and increased usage of hired labor positively influenced the decision to adopt a combined capital-and management-intense technology.

Factors affecting farm enterprise diversification

Enterprise diversification is a self‐insuring strategy used by farmers to protect against risk. This study examines the impact of various farm, operator, and household characteristics on the level of onfarm enterprise diversification. Evidence exists that larger farms are more specialized. Also, farmers who participate in off‐farm work, farms located near urban areas, or farms with higher debt‐to‐asset ratios are less likely to be diversified. In contrast, evidence suggests there is a significant positive relationship between diversification and whether the farm business has crop insurance, is organized as a sole proprietorship, or receives any direct payments from current farm commodity programs.

IMPACTS OF THE ADOPTION OF GENETICALLY ENGINEERED CROPS ON FARM FINANCIAL PERFORMANCE

The rapid adoption of genetically engineered (GE) crops by U.S. farmers suggests that these technologies have been perceived to improve farm financial performance. This study develops and applies an econometric model to data from corn and soybean producers in order to evaluate the financial impacts of the adoption of GE crops. Results indicate that the adoption of GE crops has had a limited impact on financial performance that varies by crop, type of technology, type of farm, and region of the nation. Factors other than the financial impacts appear to be important reasons for the rapid adoption of GE crops.

Technology Adoption and Its Impact on Production Performance of Dairy Operations

Data from the 1993 Agricultural Resource Management Study were used to examine the impact of technology adoption on production performance of a sample of dairy farms. Findings showed that the adoption of a capital- or a management-intense technology would measurably lower the likelihood of a farmer being in the lowest quartile of production performance. The economic costs of milk production by the top-performance group were estimated to be 53% lower than those by the low-performance group, providing evidence of the importance of improved production practices to the viability of many dairy operations.

Managing risk in agriculture through hedging and crop insurance: what does a national survey reveal?

Crop insurance and hedging are two risk management strategies used by farmers to manage risk. Using a discrete choice model and farm‐level data, this study investigates the factors influencing farmers’ use of hedging and crop insurance as risk management strategies. In the case of crop insurance, results indicate that level of education, participation in other risk management strategies (such as renting land, commodity programs, spreading sales over the year), and controlling debt are positively related to a farmer’s decision to purchase crop insurance. For the hedging model, results suggest education, off‐farm income, forward contracting sales of crops and livestock, and computer use are positively related to a farmer’s articipation in hedging/futures markets.

The Impact of Human Capital on Farm Operator Household Income

Data from the 2006 Agricultural Resource Management Survey and multivariate regression procedures are used to examine the role of human capital in impacting the incomes of farm households. The paper uses an “adjusted” concept of income where government payments are subtracted from total household income thus allowing for the utilization of government payments as a potential control variable in the regression models. Findings indicate a significant and positive role for higher education except for farm households at the very lower and upper ends of the income distribution.

The Dynamics of Wealth Concentration Among Farm Operator Households

The method of computing wealth shares accruing to lowest and highest quintiles, along with the concepts of the Lorenz curve and the Gini coefficient, are used in conjunction with data from the 1996 and 1999 Agricultural Resource Management Study (ARMS) survey to measure the distribution of wealth among U.S. farm operator households. Findings show that the distribution of wealth in 1996 was slightly more concentrated than in 1999, with the farm wealth component contributing significantly more toward measured concentration in both years than the nonfarm wealth component. The robustness of the findings under varied value judgments concerning societys level of aversion to wealth concentration is also examined.

A temporal comparison of sources of variability in farm household income

Based on two time periods (1995 and 1999), this study examines how much of the variability in total farm household income can be attributed to the variability in net farm income and in off‐farm income sources (such as income from off‐farm businesses, wages and salaries, interest and dividends, and other off‐farm income). Comparisons are also made between participants and nonparticipants in federal commodity programs. Using a normalized variance decomposition approach and data from the Agricultural Resource Management Study (ARMS), variability in the total income of participating households is shown to originate primarily from farming. This is particularly true for large or super‐large farms, and for farms not located in the Northeast. The major source of income variability for nonparticipating households is income from off‐farm sources, especially for cash grain or “other livestock” producers, farms in the small or mid‐size range, and farms located in the South.

Determinants of Poverty among U.S. Farm Households

This research uses data from the 2004 Agricultural Resource Management Survey and probit regression to examine the determinants of poverty among U.S. farm households. The findings reveal, among others, the importance of a livelihood strategy that combines participation in government programs and off-farm work in lowering poverty rates. Findings also show the importance of educational attainment of the farm operator in mitigating poverty, but only when poverty is measured on a relative rather than an absolute basis. Policy recommendations are provided in the context of these findings.