MEASURING FARM EFFICIENCY OVER TIME ON PHILIPPINE RICE FARMS

This paper measures farm-specific technical efficiencies of rice farms in Central Luzon, the Philippines, at discrete points in time. Stochastic frontier production functions are estimated from the International Rice Research Institute's Loop Survey for the years 1970, 1974, 1979 and 1982. From the results, a measure of relative technical efficiency is calculated for each farm for each year. The four distributions of technical efficiencies are examined. Results show that technical inefficiency is the major reason for deviation from the frontier production function. All four samples show a large range of inefficiency but in general efficiency has improved, particularly between 1979 and 1982.     

Are small‐scale rice farmers in eastern India really inefficient? Examining the effects of microtopography on technical efficiency estimates

The article analyzes how controlling for differences in land types (defined by position on a low‐scale toposequence) affects estimates of farm technical efficiency for rice farms in eastern India. Contrasting previous research, we find that farms are considerably more technically efficient when efficiency estimates are carried out at the plot level and control for plot characteristics rather than at the farm level without such controls. Estimates show farms cultivating modern varieties are technically efficient and plots planted with traditional varieties on less productive lands (upland and midupland) operate close to the production frontier. Significant technical inefficiency is found on more productive lands (medium and lowland plots) planted with traditional rice varieties. The finding that these smallholder rain‐fed rice farms are efficient cultivators on some plots contrasts with previous findings of farm‐level inefficiency (i.e., rejects overarching explanations linked to farm operator ignorance or lack of motivation) and suggests more complex explanations are required to address the inefficiency that is present.     

Production Risk and Technical Efficiency in Organic and Conventional Agriculture – The Case of Arable Farms in Germany

This paper quantifies the importance of production risk and technical efficiency as two possible sources of production variability in German organic and conventional farming. Determinants of production risk and inefficiency are investigated based on a combination of Just and Pope’s stochastic production framework and a Stochastic Frontier Analysis. The empirical analysis is conducted using a balanced panel of farm records from 1999/2000 to 2006/2007 on 37 organic and conventional arable farms, respectively. Euclidian‐Distance‐Matching is used to identify for each organic farm a conventional counterpart with similar structural features. Results indicate that output variability in both production technologies is mainly caused by production risk. Land and labour are identified as risk‐increasing inputs in both farm types whereas higher capital endowment, seed costs and soil quality have risk‐reducing effects.     

Heterogeneity of Long‐run Technical Efficiency of German Dairy Farms: A Bayesian Approach*

In parametric efficiency studies, two alternative approaches exist to provide an estimate of the long‐run efficiency of firms: the dynamic stochastic frontier model and the generalised true random‐effects model. We extend the former in order to allow for heterogeneity in the long‐run technical efficiency of firms. This model is based on potential differences in firm‐specific characteristics and in firms’ inefficiency persistence. The model is applied to an unbalanced micro‐panel of German dairy farms over the period 1999 to 2009. Estimation of long‐run technical efficiency and inefficiency persistence is based on an output distance function representation of the production technology and estimated in a Bayesian framework. The results suggest that heterogeneity in long‐run technical efficiency of farms is mostly attributed to discrepancies in farm‐specific factors rather than differences in farms’ inefficiency persistence. Farm size is positively related to long‐run technical efficiency while subsidies exert a negative effect on the long‐run technical efficiency of farms. Inefficiency persistence is found to be very high, but heterogeneity in this persistence is low.     

The Effects of Direct Payments on Technical Efficiency of Irish Beef Farms: A Stochastic Frontier Analysis

The 2003 Mid‐Term Review of the CAP sought to refocus the EU's farm support policy to foster a more competitive and market‐orientated agricultural sector. The foundation of this reform comprised the introduction of decoupled payments to farmers, replacing the EU's previous system of supports that were directly linked to production of designated crops and livestock. This paper explores the effect of coupled payments and their subsequent replacement by decoupled support, on the technical efficiency of specialist beef farms in Ireland. Given the high reliance of beef farmers in Ireland on CAP payments, the decoupling of payments has been especially important for the sector. A stochastic production frontier is estimated using a panel dataset comprising detailed accountancy data for Irish beef farms between the years 2000 and 2013. Our results indicate that technical efficiency in the beef farming sector has been consistently poor, with an average efficiency score of only 0.53 during the period analysed. However, we found that direct income received in the form of coupled payments had a positive impact on farm efficiency, and that this positive effect was maintained after their replacement with decoupled income support.     

Do family farms really converge to a uniform size? The role of unobserved farm efficiency*

We analyse the growth of family farms in Israeli cooperative villages during a period of economic turmoil. We use instrumental variables to account for the endogeneity of initial farm size, and correct for selectivity as a result of farm survival. We also include a technical efficiency index, derived from the estimation of a stochastic frontier production model, as an explanatory variable. Our aim is to check whether ignoring efficiency could have been the reason for convergence results obtained elsewhere in the literature. We found that technical efficiency is an important determinant of farm growth, and that not controlling for technical efficiency could seriously bias the results. In particular, larger farms are found to grow faster over time, while without controlling for technical efficiency the farm growth process seemed to be independent of initial farm size. The increasing polarisation of farm sizes in Israel has ramifications for the inefficiencies induced by the historical quota system, for the political power of the farm sector and for the social stability of farm communities.     

Technical Efficiency Measures for Dairy Farms Based on a Probabilistic Frontler Function Model

This study reports measures of technical efficiency in milk production based on a probabilistic frontier production function model of the Cobb-Douglas type. Technical efficiency ranges between 57–69 and 100.00 percent with a mean of 82.17 percent. The results suggest that the same volume of milk produced by the farms in the sample could have been achieved with approximately 18 percent fewer resources if all farms would have operated at 100 percent technical efficiency. A major conclusion of the study is that although economies of size are slightly greater than one, farm size and technical efficiency are statistically independent variables.
Cette étude rapporte des mesures d'efficacité technique en matière de production de lait basées sur un modèle de la production frontière probabilistique de genre Cobb-Douglas. L'efficacité technique varie entre 57.69 pourcent et 100 pourcent avec une moyenne de 82.17 pourcent. Les résultats suggèrent que le volume de lait produit par les fermiers dans l'échantillon aurait pu être accompli avec environ 18 pourcent moins de ressources si tous les fermiers auraient óperé a 100 pourcent d'efficacité technique. Une des conclusions majeures est que meme si les économies d'échelle réalisées se trouvent légèrement plus importantes que l'unité, la grandeur de la ferme et l'efficacité technique sont des variables indépendentes en termes statistiques.     

Off‐farm work and technical efficiency on U.S. dairies

In this study, we investigate the impact of an increase in farm households’ off‐farm work on technical efficiency (TE) of U.S. dairies. We present a theoretical framework that implies that an increase in farm household off‐farm work decreases TE. We use two nationally‐representative samples of U.S. dairies (2010 and 2005 Agricultural Resource Management Surveys) and a parametric approach (stochastic frontier analysis) to empirically test the hypothesis. Results are generally consistent with the hypothesis and show that an increase in off‐farm work by the farm household is associated with a significant decrease in TE. In addition, results show that there is a statistically significant difference in TE between small, medium, and large farms. Small farms are associated with significantly higher off‐farm work and have lower TE than large farms, which implies that less off‐farm work by households with larger farms is at least partially responsible for the evidence of economies of scale in the U.S. dairy industry.     

Technical efficiency of Kansas arable crop farms: a local maximum likelihood approach

This study uses local maximum likelihood (LML) methods recently proposed by Kumbhakar et al. (2007) to assess the technical efficiency of arable crop Kansas farms. LML techniques overcome the most relevant limitations associated to mainstream parametric stochastic and nonparametric frontier models. LML allows deriving farm‐level frontier parameter estimates. The relevance of using localized estimates is evidenced by the observed heterogeneity in production technologies. Technical efficiency scores derived from the LML approach [0.905] are higher than those of the DEA model under CRS [0.808] and SFA [0.804] and close to DEA‐VRS [0.917] ratings. Deriving reliable information about farm efficiency performance is relevant to identify inefficient farms and define adequate policy and management strategies. The use of refined methods has thus important implications.     

Efficacitè technique et coûts de production dans les secteurs laitiers du Québec et de l'Ontario

This study aims to estimate the level of technical efficiency in milk production and to analyze the relationship between the costs of production, the level of technical efficiency and farm size. Furthermore, the socio-economic variables that characterize the most efficient farms and those producing at lower cost are identified. The results indicate that in Quebec, the level of technical efficiency increases with herd size, but this increase is very small. In Ontario, herd size is not significant to explain technical efficiency. The level of education, the participation in milk recording programs, expenditures per cow fort are and artificial insemination, the quality of hay and the number of years as member of a management club are a11 variables that characterize efficient farms.     

Urban Influence on Costs of Production in the Corn Belt

This article determines the relative technical efficiency of rural- and urban-influenced crop/livestock enterprises in the Corn Belt. Farmers in urban-influenced locations are less technically efficient than farmers in rural locations. During 1998–2000, stochastic production frontier procedures indicate that a 10% increase in urban influence leads to a close to 4% decrease in technical efficiency. The most successful urban-influenced farms have controlled costs as effectively as rural farms. They have tended to de-emphasize that nondairy livestock activities—particularly beef and hogs—do not rely extensively on off-farm income, and have relatively large, less residential/lifestyle operations compared to less successful urban-influenced farmers. However, our statistical analysis clearly bears out the refrain in popular literature that urban proximity raises the cost for, and decreases the viability of, traditional farms.     

Efficiency, subsidies, and environmental adaptation of animal farming under CAP

The purpose of this article is to model the interaction between the targets of the current Comman Agriculture Politic (CAP): environmental adaptation, subsidies, and efficiency of animal farming. To this end we first have to identify the production frontier and relative efficiency level for each animal‐oriented farm in the sample. The production frontier and efficiency index for each type of farm (assuming no specific production functions) are identified using Data Envelope Analysis (DEA) techniques. We then address the relationship between relative efficiency, farm size, and environmentally friendly behavior by carrying out a nonparametric regression of efficiency, on economic size, a proxy for the degree of environmental appropriateness, and regional dummies. Calculations of the efficiency of the farms including direct subsidies are compared with the counterfactual exercise in the case in which direct subsidies are not considered. Finally, we look for relations between subsidies and factors such as farm size, efficiency, and environmentally friendly behavior. One key result shows that, on average direct payments generally tend to increase efficiency. However, in most of the cases the mean efficiency decreases as the percentage of direct payments rises. Direct payments are found to be positively related to environmentally friendly production, at least in Germany. However, in general, the direct payment system is not sufficient to offset the fact that the less environmentally friendly farms as well as the larger farms are more efficient.     

Analysis of the technical efficiency of state rubber farms in Vietnam

This study entails an analysis of the technical efficiency of natural rubber production by state farms in Vietnam. A time-varying stochastic frontier production function model for unbalanced data is estimated for 33 farms. Individual farm technical efficiencies are reported and discussed. One of the main results concerns the bimodal distribution of technical efficiency indices. A few farms operate near the production frontier while the bulk operate well away from the frontier. Some implications are drawn from the results as a guide to future policy research work in the rubber industry in light of recent moves by the Vietnamese government towards economic reform.     

ALTERNATIVE PRODUCTION FRONTIER METHODOLOGIES AND DAIRY FARM EFFICIENCY

This paper estimates technical efficiency (TE) measures using four alternative production frontier models, and evaluates the sensitivity of the results to the choice of methodology. The Cobb-Douglas functional form along with data for 1982 and 1983 from 404 dairy farms located throughout six northeastern states in the US are used in the estimation. A general conclusion is that, broadly speaking, frontier function models are neutrally upwardly scaled versions of the OLS or average model. A second conclusion is that different models yield markedly different efficiency levels across firms. However, the correlation between the indexes from the various methods is high, which implies that the ordinal ranking of firms according to their measured level of technical efficiency appears to be independent of the method used for a given year. By comparison, the correlation between efficiency indexes for the same method across time, although positive, is much lower than the previous set of correlations. Correlation analysis of efficiency versus farm size and of efficiency versus returns over variable costs, based on the alternative models, yielded consistent results.     

Technical Efficiency among Peasant Farmers Participating in Natural Resource Management Programmes in Central America

This study examines the extent to which technical efficiency (TE) is related to activities promoted by two natural resource management programmes recently completed in Central America. Data for a total of 639 farms operating in the hillsides of El Salvador and Honduras are used to estimate a household‐level input‐oriented stochastic distance frontier simultaneously with a TE effects model. The main finding of this study is that improvements in TE are financially beneficial to farm households while also contributing to environmental sustainability. The results also reveal a positive association between productivity and output diversification, and a positive relationship between TE and off‐farm income, human capital and agricultural extension.     

Measuring technical efficiency of Spanish pig farming: Quantile stochastic frontier approach

The pig meat production plays a significant role in the Spanish agrofood system. The assessment of the efficiency performance with which farmers are operating is necessary to define adequate policy and management strategies. In this context, this study aimed to determine the technical efficiency (TE) performance of pig farms and to examine the key factors that may affect the production system in Spain. To do so, the analysis relies on the quantile stochastic frontier model using a sample of Spanish pig farms. Results show a significant difference between production frontier parameters across the selected quantiles, which support the relevance of using the quantile regression approach. The optimal quantile for the stochastic frontier indicates an average TE level of 75%. In addition, empirical findings suggest that pig farmers in Spain give more importance to the adoption of high technology to improve their economic and technical performance as well as their competitiveness at the European pig market.     

The Impact of Direct Income Transfers of CAP on Greek Olive Farms’ Performance: Using a Non‐Monotonic Inefficiency Effects Model

We analyse the impacts of direct income transfers on the technical efficiency of Greek olive farms. We use a production frontier function and a non‐monotonic inefficiency effects model, which incorporates the influences of exogenous variables (subsidies, farm characteristics, etc.) on technical efficiency. The model is applied to 1995–2004 FADN data. The results show that direct transfers of the CAP had a negative and monotonic effect on technical efficiency, whereas the degree of specialisation had a non‐monotonic effect on technical efficiency.     

Farm technical and environmental efficiency and subsidy redistribution in Ireland: A simulation approach of possible performance and equity effects

We investigate the relationship between EU Common Agricultural Policy environmental payments, and dairy and beef farm level competitiveness and environmental performance. We use an Irish panel of farm level financial data for the years 2000–2017 and apply stochastic frontier analysis. Our estimates identify a positive relationship between technical efficiency and the Green, Low-Carbon, Agri-Environment Scheme for dairy farms, in contrast with the negative relation identified for previous payments of this kind such as the Rural Environment Protection Scheme for both beef and dairy. We then simulate increases in the first type of environmental payments financed through reductions in decoupled payments. We use alternative scenarios for payment redistribution such as flat allocation, allocation to farms with low stocking rates or proportional reallocation of payments. We find that under the second scenario, marginal environmental gains can potentially be achieved for dairy farms. For beef farms, the proportional allocation performs best regarding environmental gains. We also find that under this scenario, the impacts on income inequality can be smoothed for both farm types.     

The influence of management characteristics on the technical efficiency of wheat farmers in eastern England

Technical efficiency of wheat farms in eastern England is measured through the estimation of a stochastic frontier production function using panel data for the 1993–1997 crop years. Variations in the technical efficiency index across production units are explained through a number of managerial and farm characteristic variables following Battese and Coelli (1995) [Empirical Econ. 20, 325–332] and incorporating the spirit of Rougoor et al. (1998) [Agric. Econ. 18, 261–272]. The technical efficiency index across production units ranges from 62 to 98%. The objectives of maximising annual profits and maintaining the environment are positively correlated with, and have the largest influence on, technical efficiency. Moreover, those farmers who seek information, have more years of managerial experience, and have a large farm are also associated with higher levels of technical efficiency. Future studies that seek to explain variation in technical efficiency should include further aspects of the managerial decision‐making process.