Boris E. Bravo-Ureta

Efficiency Analysis of Developing Country Agriculture: A Review of the Frontier Function Literature

This article reviews and critiques the frontier literature dealing with farm level efficiency in developing countries. A total of 30 studies from 14 different countries are examined. The country that has received most attention is India, while rice has been the most studied agricultural product. The average technical efficiency (TE) index from all the studies reviewed is 72%. The few studies reporting allocative and economic efficiency show an average of 68% and 43%, respectively. These results suggest that there is considerable room to increase agricultural output without additional inputs and given existing technology. Several of the studies reviewed have sought to explain farm level variation in TE. The variables most frequently used for this purpose have been farmer education and experience, contacts with extension, access to credit, and farm size. With the exception of farm size, the results reveal that these variables tend to have a positive and statistically significant impact on TE. This paper shows that considerable effort has been devoted to measuring efficiency in developing country agriculture using a wide range of frontier models. Despite all this work, the extent to which efficiency measures are sensitive to the choice of methodology remains uncertain.

Efficiency in agricultural production: the case of peasant farmers in eastern Paraguay

This paper contributes to the productivity literature in developing country agriculture by quantifying the level of efficiency for a sample of peasant farmers from Eastern Paraguay. A stochastic efficiency decomposition methodology is used to derive technical, allocative and economic efficiency measures separately for cotton and cassava. An average economic efficiency of 40.1% for cotton and of 52.3% for cassava is found, which suggests considerable room for productivity gains for the farms in the sample through better use of available resources given the state of technology. Gains in output through productivity growth have become increasingly important to Paraguay as the opportunities to bring additional virgin lands into cultivation have significantly diminished in recent years. No clear strategy to improve farm productivity could be gleaned from an examination of the relationship between efficiency and various socioeconomic variables. One possible explanation for this finding is the existence of a stage of development threshold below which there is no consistent relationship between socioeconomic variables and productivity. If this is the case, then our results suggest that this sample of Paraguayan peasants are yet to reach such a threshold. Hence, improvements in educational and extension services, for example, would be needed to go beyond this threshold. Once this is accomplished, additional productivity gains would be obtained by further investments in human capital and related factors.

Dairy Farm Efficiency Measurement Using Stochastic Frontiers and Neoclassical Duality

This paper presents a stochastic efficiency decomposition model based on Kopp and Diewerts deterministic methodology. The stochastic model is used to analyze technical, economic, and allocative efficiency for a sample of New England dairy farms. The results suggest that mean economic efficiency for the farmers in the sample is about 70% and that, on average, there is little difference between technical (83.0%) and allocative (84.6%) efficiency. Analyses of the relationship between efficiency and four socioeconomic variables—farm size, education, extension, and experience—reveal that, despite some statistically significant associations, efficiency levels are not markedly affected by these variables.

An Econometric Decomposition of Dairy Output Growth

Fixed effects production functions and stochastic production frontiers are estimated and used to decompose dairy farm output growth into technological progress, technical efficiency, and increased input use or the size effect. Unbalanced panel data for ninety-six Vermont dairy farmers for the 1971-84 period are utilized. The results show a 2.5% average annual increase in milk output. About 56% of this growth is attributed to the size effect and the remaining 44% to productivity growth. Technological progress contributed about 94% to total productivity growth, while improvements in technical efficiency accounted for only 6%.

Soil conservation and technical efficiency among hillside farmers in Central America: a switching regression model*

The main objective of this paper is to evaluate and analyze technical efficiency (TE) levels for hillside farmers under different levels of adoption of soil conservation in El Salvador and Honduras. A switching regression model is implemented to examine potential selectivity bias for high and low level adopters, and separate stochastic production frontiers, corrected for selectivity bias, are estimated for each group. The main results indicate that households with above-average adoption show statistically higher average TE than those with lower adoption. Households with higher adoption have smaller farms and display the highest partial output elasticity for land. Constraints in the land and credit markets are likely explanations for these differences. In addition, all estimated models show that TE has a positive and significant association with education and extension.

Dairy Productivity and Climatic Conditions: Econometric Evidence from South‐Eastern United States

Climate change and food security have become critical issues in the agricultural policy agenda. Although global warming is expected to increase both the frequency and severity of heat stress on dairy cattle, there are very few economic studies focusing on this issue. This paper contributes to the literature by integrating the frontier methodology, commonly used in applied production economics, with heat stress indexes used by animal scientists but largely ignored by economists. Our econometric models are useful to quantify gross benefits expected from adaptation to climatic conditions represented by the Temperature Humidity Index (THI) and alternatively by the Equivalent Temperature Index (ETI). Stochastic production frontier analysis is used to measure technical efficiency for an unbalanced panel of 103 dairy farms located in Florida and Georgia. Five alternative model specifications are evaluated. The results reveal that both THI and ETI have a significant nonlinear negative effect on milk production. The climatic indexes when incorporated in the frontier specification absorb some of the output shortfall that otherwise would be attributable to inefficiency. The results indicate that using fans combined with sprinklers is an effective adaptation to offset output losses stemming from heat stress conditions.

Subsidies and Technical Efficiency in Agriculture: Evidence from European Dairy Farms

Abstract The objective of this article is to examine the association between agricultural subsidies and dairy farm technical efficiency in the European Union, and in so doing we make novel contributions to the literature. We include in the analysis nine diverse western European Union (EU) countries over an 18‐year period (1990‐2007) encompassing the various Common Agricultural Policy (CAP) reforms enacted since the inception of the EU. Further, we account for input endogeneity using an original method of moments estimator. Our results show that the effect of subsidies on technical efficiency may be positive, null, or negative, depending on the country. The analysis reveals that the introduction of decoupling with the 2003 CAP reform weakens the effect that subsidies have on technical efficiency.

Financial Performance of New England Dairy Farms

This article uses a procedure developed by Melichar to classify 124 New England dairy farms according to their financial performance. Logit regression is then used to estimate a model that seeks to explain the variation in observed financial performance. It was found that 80% of the farms in the sample were in good financial position in 1984. The results of the logit regression suggest that production per cow, farm operating expense per cow, milk price, non-milk sources of farm income, farm size, farm location, and land purchases in the last five-year period are statistically significant determinants of financial performance. Surprisingly, operator education is not statistically significant.

The Economic Costs of Environmental Regulation in U.S. Dairy Farming: A Directional Distance Function Approach

Analyses of the costs of regulating greenhouse gas emissions from dairy production, which could be used to assess the effectiveness of alternative policy measures, is a missing link in the literature. This article addresses this gap by establishing the economic impact associated with a hypothetical greenhouse gas environmental regulatory regime across major dairy producing counties in the United States. In doing so, the article makes three important contributions to the literature. First, it develops a comprehensive pollution index based on Environmental Protection Agency methodologies, which contrasts with previous studies that rely on partial measures based only on surplus nitrogen stemming from the over-application of fertilizer. Second, the article uses a directional output distance function, an approach that has not been employed previously to evaluate polluting technologies in the U.S. dairy sector. Third, the article incorporates a four-way error approach that accounts for unobserved county heterogeneity, time-invariant persistent technical efficiency, time-varying transient technical efficiency, and a random error. The results indicate that regulating greenhouse gas emissions from dairy farming would induce a 5-percentage point increase in average technical efficiency. In addition, the economic costs of implementing this hypothetical regulatory framework exhibit significant spatial variation across counties in the United States.

Technological Change and Technical Efficiency for Diary Farms in Three Countries of South America

A B S T R A C T The progressive liberalization of agricultural markets, along with the threat that imported products can pose to local producers, reveals the importance of productivity growth as a mechanism to improve competitiveness. Technical efficiency measurement is the most studied component of productivity because it can help to generate valuable information for policy formulation and farm level decisions focused on the improvement of farm performance. This study uses unbalanced panel data sets for dairy farms from Argentina, Chile and Uruguay, to estimate stochastic production frontier models. These frontiers are then used to estimate economies of size, technological change and technical efficiency. All estimations are based on the Battese and Coelli (1992) model, which is widely used in empirical productivity studies. The models for all three countries exhibit increasing returns to scale, which suggests that the dairy farms in the samples are operating at a suboptimal size. The average annual rate of technological change for Argentina was 0.9%, for Chile 2.6% and for Uruguay 6.9%, while average technical efficiency was 87.0%, 84.9% and 81.1%, respectively.