Economic efficiency in farm households: trends, explanatory factors, and estimation methods

Factors explaining differences in economic efficiency between farms are of major interest to owners, managers, and other stakeholders as they strive to improve earnings and improve the chances of firm survival. This study is undertaken to improve our understanding of interfarm differences in, and opportunities to improve, farm household efficiency in utilizing their land, labor, and capital resources to achieve household objectives. The technical, allocative, and scale efficiencies of farm households are estimated using a nonparametric, output-based data envelopment analysis (DEA) of a panel data set from 1993 to 2006. Single and double bootstrapping procedures are used to estimate technical efficiency. Initial technical efficiency assuming variable returns to scale (TEV) is estimated to be 0.83. Using single bootstrapping, the average bias-corrected TEV estimate is 0.70; using double bootstrapping, the TEV estimate is 0.72. Allocative efficiency is estimated to be 0.81. Scale efficiency is estimated to be 0.93. The only factor that is consistently associated with higher technical efficiency across analysis methods and years is larger farm size (as measured by the log of farm income). The significance of other factors changes with analysis methods.     

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.     

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.     

Efficiency and total factor productivity in Ukrainian agriculture in transition

This article analyzes efficiency and total factor productivity (TFP) change of large agricultural enterprises during their transition to a market economy in Ukraine. Efficiency is calculated by Data Envelopment Analysis and productivity change is measured by the Malmquist Productivity Change Index in the period between 1990 and 1999. On average, TFP declined by 6% annually, dropping a total 42%. The main reason for the observed TFP decline is a decrease in technical efficiency, which is found to be remarkably significant. At the same time there is a high variation among individual enterprises: the distribution of efficiency scores widens, which indicates that the farms diverge with respect to their economic performance. A Tobit regression analysis is conducted in which efficiency scores are related to factors such as farm type, farm size, initial conditions, and legal form.     

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.     

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.     

Measuring the economic inefficiency of Nepalese rice farms using data envelopment analysis

A data envelopment analysis of a sample of 76 Nepalese rice farmers reveals average relative economic, allocative, technical, pure technical and scale inefficiencies as 34, 13, 24, 18 and 7 per cent, respectively. The significant variations in the level of inefficiency across sample farms are attributed to the variations in the 'use intensities' of resources such as seed, labour, fertilisers and mechanical power. In addition, a second stage Tobit regression shows the variation is also related to farm-specific attributes such as the farmers' level of risk attitude, the farm manager's gender, age, education and family labour endowment. Based on the empirical findings, policy implications and development strategies for improving efficiency of Nepalese rice farms are briefly discussed.     

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.     

Farm-scale ecological and economic impacts of agricultural change in the uplands

Recent decades have witnessed substantial losses of biodiversity in Europe, partly driven by the ecological changes associated with intensification of agricultural production. These changes have particularly affected avian (bird) diversity in marginal areas such as the uplands of the UK. Future trends for upland birds will likely be impacted by changes in agricultural support regimes, such as those currently envisaged in on-going reforms of the Common Agricultural Policy. We developed integrated ecological-economic models, using seven different indicators of biodiversity based on avian species richness and individual bird densities. The models represent six different types of farms which are typical for the UK uplands, and were used to assess the outcomes of different agricultural futures. Our results show that the impacts of these future agricultural scenarios on farm incomes, land use and biodiversity are very diverse across policy scenarios and farm types. Moreover, each policy scenario produces un-equal distributions of farm income changes and gains and losses in alternative biodiversity indicators. This shows that generalisations of the effects of policy and pricing changes on farm incomes, land uses and biodiversity can be misleading. Our results also suggest that a focus on umbrella species or biodiversity indicators (such as total species richness) can miss important compositional effects.     

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.     

Determinants of off‐farm work and its effects on farm performance: the case of Norwegian grain farmers

Limited attention has been given in the literature to the impact of off‐farm work on farm performance. More knowledge about the determinants of part‐time farming and its effects on farm performance could help policymakers to introduce better targeted rural development policies. The aim in this article is to fill part of the above‐mentioned gaps by analyzing factors that influence the choices of off‐farm work by either the farmer alone or jointly by both the farmer and partner; and simultaneously examining how off‐farm work influences farm performance. These analyses were based on an unbalanced panel data set from Norwegian grain farms during 1991 to 2005. Among the determinants of off‐farm work hours, we found that, in addition to demographic, time trend, and some regional effects, there was a significant negative effect of farm output on farmers' off‐farm work hours. The production function results revealed that off‐farm work had a positive effect on farm output, at first increasing but then decreasing with increase in hours spent in off‐farm work. Furthermore, our analysis revealed no systematic effect of off‐farm work on farm technical efficiency.     

The highly variable economic performance of European agriculture

The successive reforms of the Common Agricultural Policy (CAP), the enlargements of the European Union (EU) and the impacts of climate change have amplified the diversity of European agriculture. These rapid changes have resulted in the intensification of agricultural activities in some regions, while they have led to the marginalization of agriculture and its eventual abandonment in others. The objective of this paper is to investigate the factors that are behind the differential performance of agriculture across the EU-27 countries. Ward's, k-means and two-step clustering methods were used to classify European agriculture based on gross-value-added farm, land and labour productivity indicators. Significant differences were revealed between the Northern-Central counties and the continental peripheries (Mediterranean, Eastern, Northern Scandinavian). An exact logistic regression model was used to analyse the factors behind this differential performance. Agricultural sectors characterized by a young and better trained farm population are more likely to attain high economic performance. The odds to attain high economic performance are almost 9 times greater for countries with a highly trained farm population, namely, the Netherlands (72%) and Germany (69%), than for countries with poor farm training, while an ageing farm population such as in Portugal (72%) and Bulgaria (66%) is 92% less likely to be high performing. The importance of investments in agriculture was also identified. The significance of the wheat yield variable highlights the importance of both environmental conditions and technical efficiency on farm economic performance. Similarly, countries with a high share of utilized agricultural land in less favoured areas, such as in the Mediterranean, are 94% less likely to attain high economic performance. The redesign of CAP direct payments between old and new member states after 2013 combined with the impacts of agricultural trade liberalization and climate change are expected to deteriorate the position of low performing agricultural sectors further.     

How to achieve best-practice integrated land-use and safety assurance policy for hazardous on-farm water storage

Communities downstream of hazardous on-farm water storages are at threat because of the severe consequences of potential dam failure. This threat exists due to inadequate development and integration of land-use planning and safety assurance policies in relation to private dams. Adequate policy integration is key to saving lives, public and private property and the environment downstream from dam failure. Whilst numerous studies have explored land-use policy and its relationship to safety, there has been limited attention to the safety risk posed by dams above increased housing development. Thus, this paper aims to explore the interrelated land-use policy and engineering issues associated with planning for and assuring safety of hazardous farm dams involving land developments and how best to integrate the policies. The extent of this problem is demonstrated in the Australian context but also has international relevance. Key guidance on the design of best-practice integrated land-use planning and safety assurance policy is provided based on (1) a comparative review of policy and practice in a wide range of different jurisdictions in Australia against indicative evidence of policy performance to determine best-practice policy elements for integration, and (2) development of a cost-effective flood safety review/design tool to help policymakers and planners with the integration process as well as minimising cost burdens to dam owners. This guidance follows on from previous research reported in this journal to help jurisdictions world-wide address the threats associated with farm dams and land developments within catchments.     

Impacts of Norwegian Milk Quotas on Output Growth: A Modified Distance Function Approach

Quota regulations that prevent output expansion of farms and reallocation of output between farms can cause lower growth in output and productivity. The aim of this study was to explain the output growth rate of Norwegian dairy farms since 1976, and to decompose it into output, input, socioeconomic and technical change components. Instead of using the standard distance function approach for multi‐output technologies, we use a growth rate formulation, which automatically removes the farm‐specific effects. This formulation also helps to impose non‐negativity constraints on marginal products of inputs (input elasticities), which are often violated for many observations, especially when flexible functional forms are used. The farm‐level panel data cover three periods: before the quota scheme was introduced (1976–1982); the period with the most output‐restricting quota scheme (1983–1996); and the period with a more flexible quota scheme (from 1997 onwards). Results show that the milk quota regulations had a significant constraining effect on output growth, in particular on milk output in the period 1983–1996. Furthermore, the output mix has shifted towards meat production for the average farm. What emerges from this study is that output growth and technical change are negatively influenced by policy aims where productive performance has not been the primary objective, and that there is scope for increased farm growth if the quota regime is liberalised.     

FURTHER TOWARDS A MORE DYNAMIC APPROACH TO FARM PLANNING: A COMMENT

In a recent contribution to the Jounal, Harle (1974) introduces a model of the farm firm based on the achievement of what he calls economic technical eficiency. The approach Is an attempt to reconcile recent interpretations of the farm planning problem with the author's own practical experience in farm management. The nature of the planning problem and the definition of economic technical efficiency are of central importance to the validity and usefulness of the model, and both demand further comment.     

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.     

Estimating persistent and transient technical efficiency and their determinants in the presence of heterogeneity and endogeneity

We develop an estimation procedure that generates consistent estimates of the technology parameters, long-run (persistent) and short-run (transient) technical inefficiencies and the marginal effects of their determinants for the stochastic frontier model developed by Colombi et al. (2014, Journal of Productivity Analysis 42, 123) and Kumbhakar et al. (2014, Journal of Productivity Analysis 41, 321). Our approach accounts for three sources of potential endogeneity: (i) unobserved heterogeneity; (ii) simultaneity of input use with both types of technical efficiency; (iii) potential correlation of the noise term with the regressors. Using this approach we examine the effect of direct payments and farm size on the persistent and transient technical efficiency of French crop farms before and after the European Union's Common Agricultural Policy decoupling reform of 2003. Our results show that subsidy payments per hectare of utilised agricultural land had a significant positive effect on persistent technical efficiency and a significant negative effect on transient technical efficiency during the period before decoupling. For the period after the reform, the effect of subsidies is found to be significantly negative for persistent technical efficiency and insignificant for transient technical efficiency. The overall effect of subsidies on technical efficiency is found to be negative in both periods, albeit substantially lower in the period after decoupling. The effect of farm size on technical efficiency is found to be significant only for the period prior to the reform: it reduced persistent technical inefficiency but increased transient technical inefficiency during that period.     

Determinants of farm diversification in the Netherlands

Farm diversification has been prominently supported by agricultural policy makers aiming to support rural development. To increase the understanding of determinants influencing diversification and hence to increase the efficiency of policies aiming to support farm diversification this paper presents the results of an analysis of diversification determinants. The research investigates Dutch farms diversification strategies using Farm Structural Survey (FSS) data of 2011 including 70,392 farms. The study uses a binary logit model to determine the characteristics influencing the diversification decision in general. Furthermore, an in-depth analysis for six diversification strategies was conducted. Additionally the study categorised the specific diversification activities in order to estimate a multinomial probit model, analysing three choice categories simultaneously. This enables us to compare determinants of farm diversification in general with determinants of specific activities. The analysis includes socio- demographic, economic and geophysical farm characteristics assumed to influence the diversification decision. Even though diversification is largely influenced by similar determinants, we find differences that are most pronounced for the adoption of nature conservation strategies. Consequently, it is important for policy makers to target policies at specific diversification activities in order to increase efficiency.     

On the foundation of agricultural policy research in the United States

This paper identifies three scientific research programs in agricultural economics. The farm management approach (1870-1933), the farm problem approach (1933-1982) and the domestic and global welfare approach (1982-). In respect to agricultural policy research two competitive research programs developed out of the farm crisis of the 1920s. One program argued for government intervention in agriculture. The other argued for stability in the general economy. The former program degenerated during the 1970s because of countervailing empirical evidence and a change in the understanding of positive economics. The latter program stayed progressive by adding the international dimension and by applying welfare economic analysis. Two other important factors influenced the development of agricultural policy. First, the unique institutional set up of the land grant system in which agricultural economics was founded as an applied science with a bias to help farmers. Second, the convergence of agricultural economics towards general economics that shifted the approach from applied to basic.     

Internal and contextual drivers of dairy restructuring: evidence from French mountainous areas and post‐quota prospects

The end of the milk quota system in Europe has resulted in substantial structural changes to the dairy industry, calling its future into question, especially in mountainous areas. This study analyzes the internal and contextual factors that influence dairy restructuring in French mountainous areas. Three complementary logit models are used to specify farmer decisions (e.g., dairy production exit, stability, and growth). Original and exhaustive geo‐located administrative datasets are combined to create a farm longitudinal dataset and characterize farm‐restructuring patterns on a fine geographical scale. Farm size, corporate legal status, and specialization are positively associated with farm growth. Viable diversification strategies through either farm processing or agro‐environmental scheme contracting are also highlighted. Farm sustainability is supported by the economic success of the local industry and the propensity to adopt extensive practices. With respect to public policy, dairy policy appears to have the strongest impact. Thus, the liberalization of dairy policy threatens the future of dairy farming, particularly in areas with low milk density and no production under labels. This work calls for a policy that promotes the collective dimension of dairy farm performance. The current rural development policy alone may be insufficient to support farms’ long‐term sustainability.