Michael R. Langemeier

Financial Performance, Risk, and Specialization

A sample of Kansas farms was used to examine the impact of risk and specialization on mean financial performance. Mean financial performance was hypothesized to be influenced by risk, age of the operator, percentage of acres owned, financial efficiency, leverage, specialization, and farm size. Risk, age of operator, financial efficiency, and farm size had the largest impacts on mean financial performance. Specializing in swine, dairy, or crop production increased mean financial performance, while specializing in beef production decreased mean financial performance. Farms with both crops and a livestock enterprise (beef, swine, or dairy) tended to have less variability in financial performance.

A NONPARAMETRIC ANALYSIS OF EFFICIENCY FOR A SAMPLE OF KANSAS BEEF COW FARMS

Competitive pressures in the cow-calf sector increased in 1995 because of a decline of 27% in calf prices. Technical, allocative, and scale efficiency measures were used to examine the competitiveness of a sample of Kansas beef cow farms. On average, the farms were 78% technically efficient, 81% allocatively efficient, and 95% scale efficient. Enterprise profitability was correlated positively with the efficiency measures. Inefficiency was related to herd size and degree of specialization. Producers should focus on using capital, feed, and labor more efficiently rather that increasing their size. Increased concentration of the cow-calf sector will not result in large cost savings given the current technology.

Determinants of Cattle Finishing Profitability

Data from a western Kansas feedlot were analyzed to estimate the quantitative impacts of price and performance variables on profits per head from finishing cattle. Sale prices, feeder prices, and corn prices had the most impact on profit variability over time. Differences in sale prices, feeder prices, and feed conversions were important in explaining the difference in steer and heifer profits over time. Results suggest that breakeven prices should be calculated for a range of fed cattle, feeder, and corn prices, and that these three variables need to be stochastic in representative farm modeling efforts.

A Nonparametric Efficiency Analysis For A Sample Of Kansas Swine Operations

This study evaluates the economic competitiveness of a sample of Kansas farrow-to-finish operations by estimating relative firm efficiency using nonparametric mathematical programming techniques. Measures of technical, allocative, scale, economic, and overall efficiency are then related to farm characteristics to identify sources of efficiency. Results indicate that overall efficient farms produce a high quantity of pork per litter, produce a portion of their own feed grains, generate a large portion of their income from swine and other livestock enterprises, and have a lower debt-to-asset ratio.

Propensity to Consume Farm Family Disposable Income from Separate Sources

Farm family disposable income is generated from farm operations, off-farm sources, and government payments. If these three income components are fungible (a dollar from one source is a perfect substitute for a dollar from another source), then the propensities to consume each should be the same. This study examines the farm family propensity to consume from separate income sources. Results indicate that the propensity to consume off-farm income and government payments is higher than the propensity to consume farm income.

Does Farm Size and Specialization Matter for Productive Efficiency? Results from Kansas

In this article, we used bootstrap data envelopment analysis techniques to examine technical and scale efficiency scores for a balanced panel of 564 farms in Kansas for the period 1993–2007. The production technology is estimated under three different assumptions of returns to scale and the results are compared. Technical and scale efficiency is disaggregated by farm size and specialization. Our results suggest that farms are both scale and technically inefficient. On average, technical efficiency has deteriorated over the sample period. Technical efficiency varies directly by farm size and the differences are significant. Differences across farm specializations are not significant.

Farmers' Marginal Propensity to Consume: An Application to Illinois Grain Farms

The marginal propensity to consume (MPC) for a sample of eighteen Illinois farms over the 1979–86 period is determined. Four consumption models were estimated using disposable household income plus depreciation as the measure of income. Estimated short-run MPCs ranged from 0.007 to 0.020, while long-run MPCs varied between 0.143 to 0.381. These results indicate farm family consumption responded little to changes in income and that the life cycle hypothesis model explains consumption significantly better than the other models. Robustness of the results is demonstrated using a larger sample of farms for 1986&87.

MEASURING X-EFFICIENCY AND SCALE EFFICIENCY FOR A SAMPLE OF AGRICULTURAL COOPERATIVES

This paper examines the efficiency of a sample of Great Plains grain marketing and farm supply cooperatives during 1988 to 1992. In general, larger cooperatives were more X-efficient and scale efficient. Labor tended to be under-utilized and capital over-utilized. Petroleum product sales and fertilizer sales were negatively related to overall efficiency. Sales of goods other than grain, fertilizer, agricultural chemicals, petroleum products, and feed was positively related to overall efficiency. Overall efficiency was significantly correlated with the rate of return to assets.

Average Crop Revenue Election, Crop Insurance, and Supplemental Revenue Assistance: Interactions and Overlap for Illinois and Kansas Farm Program Crops

Farm-level data from Illinois and Kansas for the 1991–2007 crops are used to examine the interaction and overlap among crop revenue insurance, Supplemental Revenue Assistance (SURE), and Average Crop Revenue Election (ACRE). Compared with 75% Crop Revenue Coverage Insurance (75% CRCP), ACRE provides more payments and has a greater impact on minimum farm revenue for the Illinois farms. In contrast, for the Kansas farms, 75% CRCP has the greater impact. SURE’s relative impact on the Illinois and Kansas farms depends on the metric. The overlap in payments from ACRE and 75% CRCP resulting from covering the same part of the revenue risk distribution is estimated to be less than 5% of ACRE payments. Several proposals for improving the farm safety net are discussed.

Using farm consumption data to estimate the intertemporal elasticity of substitution and relative risk aversion coefficients

A farm household consumption model based on the life‐cycle permanent income hypothesis (LPIH) has been specified and the Euler equations derived in this analysis. Estimation of the of the Euler equations using farm household consumption data provided estimates for the intertemporal elasticity of substitution and the coefficient of relative risk aversion. These parameters differ among the farm enterprises in which the households were engaged. Estimates for the intertemporal elasticity of substitution and the coefficient of relative risk aversion ranged from 0.158 to 0.351 and from 2.849 to 6.329, respectively. Results also provide further evidence that the LPIH is valid for modeling farm household consumption.