Mitchell J. Morehart

Credit Constraints: Their Existence, Determinants, and Implications for U.S. Farm and Nonfarm Sole Proprietorships

The objective of this study is to determine the effect of credit constraints on production for farm and nonfarm sole proprietorships. A propensity score-matching estimator is employed to provide unbiased estimates of the production impacts of being denied credit. The empirical results demonstrate that the value of production is significantly lower for credit-constrained sole proprietorships. If this drop in the value of production is aggregated to a national level, it constitutes only 3% and 13% of total value of production for farm and nonfarm sole proprietorships, respectively. Copyright 2009, 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 returns to labor and management on U.S. dairy farms

The objective of this study was to identify factors that contribute to returns to operators’ labor and management of dairy farms in the U.S. Particular attention is given to the role of education and extension. Operators’ labor and management income (OLMI) is used as a measure of financial success. Regression analysis shows farm size, farm organization, level of education, and participation in extension activities and use of extension agents are important factors influencing OLMI. Further, forward contracting of inputs and other measures for controlling variable costs are also important factors in determining the financial success of dairy farms.

Off‐farm investment of farm households: A logit analysis

This investigation considers factors affecting off‐farm investment of farm households. A national farm‐level survey was used to evaluate the effects of various farm and operator characteristics on the likelihood of off‐farm investment. Results suggest differences in level of education, age of the operator, off‐farm income, household net worth, leverage, farm size, farm diversification, management skills, and location influence off‐farm investment decisions.

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.

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.

Agricultural Land Tenure and Carbon Offsets

Agricultural Land Tenure and Carbon Offsets examines the potential role that land ownership might play in determining the agricultural sector’s involvement in carbon sequestration programs. By estimating the carbon sequestration potential of agricultural producers who own most of the land they operate, this report finds that land ownership should not be a constraining factor in agriculture’s ability to provide carbon offsets.

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.

Welfare decomposition in the context of the life cycle of farm operators: what does a national survey reveal?

This paper examines the role of the life cycle in impacting the distribution of a combined income and wealth measure using data from the 2001 and 2006 Agricultural Resource Management Survey. Such an assessment is made using both graphical representation of the distribution of the well-being measure along with utilization of the social welfare decomposition procedure. Results show a mild yet statistically insignificant improvement in the distribution of the economic measure over the five-year period. Contribution to social welfare is found highest among the cohort where the age of the head of household is between 45 and 54 years. Targeted programs are found to enhance social welfare if they are aimed towards cohorts where the age of the head of household is younger than 35 years or where the age of the head of household is in the 35-to-44 age group, depending on whether the analysis is based on a perfarm household or on a per-capita basis.