The objective of this paper is to analyze sources of labor productivity growth in the Kansas farm sector over the period 1993-2006 for a sample of 668 farms. The nonparametric production frontier method is used to decompose labor productivity growth into three components: (1) technological...

A sample of Kansas farms was used to examine the relationship between overall efficiency and farm characteristics. Overall efficiency was significantly related to operator age, farm size, and farm type. Approximately 26.7% of the farms were in the top one-third overall efficiency category for...

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),...

Yield variability can be significantly higher at the farm level than at more aggregated levels, including the county. However, due to a dearth of available farm level data, much stochastic analysis involving farm yields utilizes more aggregated yield data as a proxy for the farm level. We...

This article establishes the cost-efficiency frontier and its variation over time for a sample of 610 farms in Kansas for ten consecutive years, from 1995 to 2004. The primary objective consists of examining how financially constrained firms affect cost efficiency and its components, allocative,...

The terms of grazing lease contracts potentially influence the tenants incentive to preserve the vegetation resource. Annual stocking rate decisions dictate the degree of overgrazing, which can be cumulative over long periods of time. The objective of this study is to identify the impact the...

This paper examines productivity of a sample of grain marketing and farm supply cooperatives from 1990 to 1998. The cooperative industry’s productivity or growth was mainly due to improvement in technology rather than improvement in pure efficiency or scale. The cooperative...