Technical and scale efficiency of crop and livestock farms in Poland: does specialization matter?

The technical and scale efficiency of Polish farms is analyzed using data envelopment analysis. Efficiency differences are measured according to farm specialization, in crop or livestock, at two points in time during transition, 1996 and 2000. The efficiency results are reviewed in light of confidence intervals provided by bootstrapping. Livestock farms are found to be, on average, more technically and scale efficient than crop farms. Scale efficiency is high for both specializations. Technical inefficiency appears mostly to be due to “pure technical” rather than “scale” inefficiency, and thus attributable to inefficient management practices. The evidence suggests that the low‐educational attainment of people engaged in agriculture is one important reason for these inefficient practices. In 2000, 64% of livestock farms and 86% of crop farms were operating under increasing returns to scale. Improvements in the land lease legislation and changes to the policy support to farmers' pensions could stimulate the land market and remove the incentives to keep a fragmented operational structure.     

Off‐farm work,technical efficiency,and rice production risk in Taiwan

This article investigates the differences in yield production, production efficiency, and yield risk for farmers both with and without off‐farm work. Using a nationwide survey of rice farmers in Taiwan, we estimate two stochastic production frontier models that accommodate technical inefficiency and production risk simultaneously for farmers both with and without off‐farm work. The stochastic dominance criterion is then applied to compare the differences in the distributions of the estimated technical efficiency and yield risk between groups. The empirical results indicate that these two groups of farmers use resources in different ways, and off‐farm work is not necessarily associated with lower technical efficiency. For farmers in the lower percentiles of the efficiency distribution, those with off‐farm work are more efficient than their counterparts without off‐farm work. In addition, farmers with off‐farm work face higher production risk and this result is robust for the entire distribution.     

Farm Household Production Efficiency: Evidence from The Gambia

This article investigates the economic efficiency of farm households, with an application to The Gambia. The efficiency analysis is conducted not at the farm level but at the household level, thus capturing the importance of off-farm activities. Output-based measures of technical, allocative, and scale efficiency are generated using nonparametric measurements. An econometric analysis of factors affecting the efficiency indexes is then conducted using a Tobit model. Technical efficiency is fairly high indicating that access to technology is not a severe constraint for most farm households. The cost of scale inefficiency is modest. Allocative inefficiency by contrast is found to be important for the majority of farm households. On the basis of the Tobit results, imperfections in markets for financial capital and nonfarm employment contribute to significant allocative inefficiency.     

Nonparametric analysis of technical,pure technical,and scale efficiencies for food crop production in East Java,Indonesia

Nonparametric analysis of technical efficiency for irrigated farms in the Madiun regency in the west-central part of East Java, Indonesia is conducted using linear programming techniques. This procedure allows the relative technical efficiency for each farm to be determined and for inefficiencies to be decomposed into pure technical inefficiency and scale inefficiency and does not require restrictions or assumptions regarding functional form to be placed on the data. Farmers in Madiun generally are efficient relative to each other. Farmers operating inefficiently do so more often because of scale inefficiencies rather than pure technical inefficiencies. A majority of the farms operate in the region of decreasing returns to scale rather than increasing returns to scale. Farmer age, the level of diversification of cropping activities, and high school education were found to be related to technical efficiency in the rainy season under irrigated conditions. Other socioeconomic factors were not statistically significant. The results imply that inefficient farms use excessive levels of inputs, particularly nitrogen fertilizer. This is perhaps due to the lingering effects of past input subsidization policies, particularly of fertilizers, in Indonesia, or to risk-reducing behavior. The results also imply that current government policies to encourage diversification of cropping practices in Java may lead to greater technical inefficiencies in production. In addition, extension education targeted to younger farmers with low levels of formal education would improve efficiency.     

Relationships between Technical Efficiency and Financial Management for Czech Republic Farms

This paper provides the first analysis of the relationship between farm financial structure and technical efficiency in Central and Eastern European farming during the transition to a market economy. First, technical efficiency scores for a sample of Czech farms are computed with data envelopment analysis, accounting for sampling variability by using the Simar and Wilson bootstrapping procedure. The confidence intervals show that corporate livestock farms are the most homogenous in terms of technical efficiency. Second, a Tobit model is applied for the investigation of factors, including financial considerations, which influence the variation in technical efficiency. The potential endogeneity of the financial variables in the explanation of efficiency is examined, following Smith and Blundell. The Amemiya estimator is used for those cases which are revealed as endogenous. The analysis indicates substantial differences in the way in which the different management structures are treated by lenders. De novo, individual farms are subject to stringent evaluation of their loan applications, which is not the case for the successors of the former collective and state farms.     

Patterns in Technical Efficiency and Technical Change at the Farm‐level in England and Wales, 1982–2002

English and Welsh farm‐level survey data are employed to estimate stochastic frontier production functions for eight different farm types (cereal, dairy, sheep, beef, poultry, pigs, general cropping and mixed) for the period 1982 to 2002. Differences in the relative efficiency of farms are explored by the simultaneous estimation of a model of technical inefficiency effects. The analysis shows that, generally, farms of all types are relatively efficient with a large proportion of farms operating close to the production frontier. However, whilst the frontier farms of all types are becoming more efficient through time because of technical change, it is also the case that the efficiency of the average farm for most farm types is increasing at a slower rate. In addition, annual mean levels of efficiency for most farm types have declined between 1982 and 2002. The factors that consistently appear to have a statistically significant effect on differences in efficiency between farms are: farm or herd size, farm debt ratios, farmer age, levels of specialisation and ownership status.     

家庭农场经营效率及其差异分析*——基于山东234个示范家庭农场的调查

[目的]文章通过对山东省家庭农场经营效率的实证分析,旨在厘清技术、规模对农场经营效率的促进作用,通过比较分析找出各类型家庭农场短板,针对性地提出政策建议。[方法]以山东234个家庭农场数据为例,运用DEA模型对家庭农场全样本及纯种植、种养结合、种植兼休闲、种养兼休闲4类家庭农场的经营效率进行了测算和分解。[结果]首先,家庭农场综合技术效率仅为0. 170,纯技术效率和规模效率分别为0. 235和0. 786,规模效率相对充分纯技术效率不足是经营效率较低的主要原因;其次,种养结合类农场发展势头较好,纯种植类家庭农场发展滞后且综合技术效率和纯技术效率最低,种养兼休闲类农场的规模效率最低。[结论] 4类农场差异明显,应降低生产技术使用门槛,引导农场主参加职业教育,提升纯种植类农场纯技术效率,同时出台相关政策,实现土地流转的降费提效,改善种养兼休闲类农场规模效率。     

MEASURING TECHNICAL EFFICIENCY FROM PRODUCTION FUNCTIONS: SOME FURTHER ESTIMATES

The concept of economic and technical efficiency is fundamental to agricultural policy-making, and Russell and Young (1983) in this Journal provide a recent addition to the literature for British agriculture. They estimate technical efficiency for a cross-section of farms in the North-West of England for the year 1977/8. However, such measures for a single year may be influenced by particular events in that year. This paper considers some further estimates of farm efficiency but for the longer, four-year period 1974/5 to 1977/8. Three measures of technical efficiency are estimated, two using econometric techniques and one using linear programming methods. It is found that there are low correlations between these different measures of technical efficiency both over time and at one point in time. This casts doubt on the usefulness of measuring efficiency using cross-section (single period) survey data.     

Scale Efficiency in the New Zealand Dairy Industry: a Non-parametric Approach

The aim in this article is to measure the scale efficiency of the New Zealand dairy industry and to examine the relationship between farm size and technical efficiency. Data envelopment analysis (DEA) is applied to a sample of 264 dairy farms. The results suggest that 19 per cent of these farms are operating at optimal scale, 28 per cent at above optimal scale, and 53 per cent at below optimal scale. On average, the optimal size for New Zealand dairy farms is estimated at 83 hectares with a herd of 260 animals. Average technical efficiency is estimated at 89 per cent.     

Is Input Mix Inefficiency Neglected in Agriculture? A Case Study of Pig‐based Farming Systems in England and Wales

The principal concern of this article is the relative importance of input mix as a source of inefficiency. Emphasis in efficiency analysis studies in agricultural production has historically focused on technical inefficiency as a single concept until methodological advances enabled it to be decomposed into pure technical inefficiency and scale inefficiency. But, this advance was insufficient to identify what we consider to be the major source of inefficiency in agricultural production, namely mix inefficiency. We consider that farm enterprises may be particularly susceptible to input mix inefficiency because of restrictions on movement around the frontier isoquant; delays in the adoption of improved technologies embodied in new vintages of production processes; risk as a source of friction in input allocation decisions; and the potential for inconsistency in simultaneously attempting to reach points of allocative efficiency and mix efficiency in input use. We use non‐parametric methods to calculate a Hicks–Moorsteen productivity index using panel data for a sample of specialised pig producers in England and Wales. This index is then decomposed into measures of technology, technical efficiency, scale efficiency and mix efficiency for an input orientation. Results of the analysis show that the estimated mean mix inefficiency (0.736) was substantially larger than mean technical inefficiency (0.975) and mean scale inefficiency (0.957) over the study period.     

TECHNICAL EFFICIENCY: A COMPARISON OF PRODUCTION FRONTIER METHODS

Recent differences in the measurement of farm efficiency may be related to the methods employed. Here, four alternative production frontiers are estimated using time-series, cross-section data for a sample of Illinois grain farms. Efficiency measures are found to be highly correlated between nonparametric methods, and between parametric methods. However, large differences are noted when efficiency measures are compared between nonparametric and parametric methods. An analysis of farms with large differences, which are efficient under the nonparametric method, indicates that correlations between efficiency measures are much higher when these firms are excluded.     

Do Differences in the Scale of Irrigation Projects Generate Different Impacts on Poverty and Production?

This article investigates differences in household production and consumption among small‐ and large‐scale irrigators to assess whether the scale of an irrigation project increases household welfare in Mali. Much of the evidence of the impact of irrigation does not use counterfactual analysis to estimate such impact or distinguish between the scale of the irrigation projects to be evaluated. In the dataset collected by the author, both a large‐scale irrigation project and small‐scale projects are used to construct counterfactual groups. Propensity score matching is used to estimate the average treatment effect on the treated for small and large irrigators relative to non‐irrigators on agricultural production, agricultural income and consumption per capita. Small‐scale irrigation has a larger effect on agricultural production and agricultural income than large‐scale irrigation, but large‐scale irrigation has a larger effect on consumption per capita. This suggests that market integration and non‐farm externalities are important in realising gains in agricultural surplus from irrigation.     

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,allocative and economic efficiencies in swine production in Hawaii: a comparison of parametric and nonparametric approaches

Technical, allocative and economic efficiency measures arc derived for a sample of swine producers in Hawaii using the parametric stochastic efficiency decomposition technique and nonparametric data envelopment analysis (DEA). Efficiency measures obtained from the two frontiei approaches are compared. Firm-specific factors affecting productive efficiencies are also analyzed. Finally, swine producers, potential for reducing cost through improved efficiency is also examined. Under the specification of variable returns to scale (VRS), the mean technical, allocative and economic efficiency indices are 75.9%, 75.8% and 57.1%, respectively, for the parametric approach and 75.9%, 80.3% and 60.3% for DEA; while for the constant returns to scale (CRS) they are 74.5%, 73.9% and 54.7%, respectively, for the parametric approach and 64.3%, 71.4% and 45.7% for DEA. Thus the results from both approaches reveal considerable inefficiencies in swine production in Hawaii. The removal of potential outliers increases the technical efficiencies in the parametric approach anil allocative efficiencies in DEA, but, overall, contrary to popular belief, the results obtained from DEA are found to be more robust than those from the parametric approach. The estimated mean technical and economic efficiencies obtained from the parametric technique are higher than those from DEA for CRS models but quite similar for VRS models, while allocative efficiencies are generally higher in DEA. However, the efficiency rankings of the sample producers based on the two approaches are highly correlated, with the highest correlation being achieved for the technical efficiency rankings under CRS. Based on mean comparison and rank correlation analyses, the return to scale assumption is found to be crucial in assessing the similarities or differences in efficiency measures obtained from the two approaches. Analysis of the role of various firm-specific factors on productive efficiency shows that farm size has strong positive effects on efficiency levels. Similarly, farms producing market hogs arc-more efficient than those producing feeder pigs. Based on these results, by operating at the efficient frontier the sample swine producers would be able to reduce their production costs by 38-46% depending upon the method and returns to scale considered.     

Estimation of input-oriented technical efficiency using a nonhomogeneous stochastic production frontier model

Technical inefficiency can be modeled as either input‐oriented (IO) or output‐oriented (OO). However, in the estimation of parametric stochastic production frontier models which use maximum likelihood method only the OO measure is used. In this article we consider a simple nonhomogeneous production function and estimate it with both IO and OO specifications. A sample of 80 Spanish dairy data (1993–1998) is used to estimate both models. We consider one output (liters of milk) and four variable inputs (viz., number of cows, kilograms of concentrates, hectares of land, and labor [measured in man‐equivalent units]). We find that returns to scale (RTS) and technical efficiency results derived from these models are different because either estimated technologies are different, or they are evaluated at different points. Using a Monte Carlo analysis we show that if RTS is close to unity differences in the estimates of RTS and technical efficiency are smaller. This holds true for estimates of both RTS and technical efficiency.     

茶农生产性投资的技术效率及其影响因素实证分析——以福建安溪为例

以福建省安溪县茶农问卷调查数据为基础,利用随机前沿生产函数模型估计样本茶农投资的技术效率,并分析技术效率的变化规律及其影响因素。研究表明,茶农从事茶叶生产加工的时间、茶农从事茶叶生产加工的时间的平方项、茶农户主的受教育年限这3个解释变量对于技术效率的影响不显著;而茶农户主年龄、茶农主栽品种、是否接受过培训、茶农茶叶收入占家庭总收入的比例、茶农家庭拥有的茶园面积、村庄所在地类型虚变量与技术效率呈现正相关的关系;茶农家庭拥有的茶园面积的平方项、地区差异则对技术效率产生负向影响。     

MEASUREMENT OF TECHNICAL EFFICIENCY IN THE NORTH-WEST FRONTIER PROVINCE OF PAKISTAN

The objective of this study is to measure technical efficiency, using a translog frontier production function on cross-sectional data from 397 farms in the North-West Frontier Province of Pakistan in 1988–89. The estimated farm level technical efficiency is found to be dependent upon levels of credit and education, farmers' ages and the extent of land fragmentation. Lack of education, restricted credit and fragmented holdings are found to be causes of inefficiency; hence policies which consolidate holdings, provide credit or educate farmers will tend to improve efficiency in agriculture.     

Migration and technical efficiency in cereal production: evidence from Burkina Faso

This article uses a double bootstrap procedure and survey data from Burkina Faso in a two‐stage estimation to explore ways in which continental and intercontinental migration determine efficiency in cereal production of rural households. Findings suggest that continental migration has a positive relation and intercontinental migration no relation with technical efficiency. For continental migrant households, migration has removed surplus male labor, a cause for inefficiency in production. Intercontinental migration leads to a gender imbalance in the household, which cannot be compensated for by investments in farm equipment. The failure of intercontinental migration to transform cereal production from traditional to modern is attributed to an imperfect market environment.     

The Theory of the Farm Household: An Application to Saskatchewan

A theoretical model is presented which integrates the consumption and production components of the rural household. A theoretically determined system of expenditure equations, derived factor demand equations and an off-farm labor supply equation are estimated using primary data for Saskatchewan farm households. From the empirical results we conclude that if the wage rate can be observed or estimated, the farm household's behavior can be explained empirically in a manner consistent with received theory. Summary and Conclusions A theoretical model integrating the consumption and production sides of the farm household or enterprise is estimated empirically using primary data for Saskatchewan farm households. The farm household was assumed to maximize its utility function subject to farm production and cash flow constraints. The empirical results indicate that the theoretical model can be estimated successfully even when data are sparse. While the coefficients for the expenditure, derived demand, and off-farm labor supply equations are consistent with coefficients from similar equations estimated separately by others, the theoretically more precise integrated approach specifies the simultaneous effect of the variables across equations. From the empirical results and the theoretical considerations it is obvious that the wage rate is a key explanatory variable in the model. The wage rate links the three components of the model–final expenditures, the derived input demands and off-farm labor hours. The wage rate is one determinant of the allocation of the operator's time (although other factors such as the nature of the operation and opportunities to work off-farm dominated in this study), and both the wage rate and the allocation of the time determine the eventual income available to the rural household. In essence, then, the problem of explaining farm household behavior when the household's business enterprise function cannot be separated from its consumption activity is similar to that of traditional models based on the theory of the firm and models of consumer behavior. The only difference is that the wage rate is observable in the traditional models but needs to be estimated as a shadow price in models which seek to explain rural household behavior. As a result, research in this area must start with an explanation of the allocation of (at least) the operator's labor and a measure of the shadow wage rate. If the entire household's allocation of time between on-farm and off-farm labor and leisure is determined, it is possible to treat its consumption and production activities separately. Further research is required to extend the model to explain household labor supply to both the farm and off-farm labor markets.     

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.