Dynamic Cost Inefficiency of the European Union Meat Processing Firms

We apply dynamic data envelopment analysis (DEA) to estimate dynamic cost inefficiency for a sample of European Union (EU) large meat processing firms over the period 2005–2012 and decompose this into the contributions of technical and allocative inefficiency. The estimation of dynamic inefficiencies controls for adjustment costs associated with firms’ investments. We further contribute by measuring dynamic cost inefficiencies and their components with regard to own region group (managerial inefficiencies) and the gap between the pooled frontier and the region-specific frontier (programme inefficiencies). Results show that technical inefficiency tends to be the largest component of cost inefficiency when both conducting the analysis for the EU as a whole and estimating a region-specific frontier. Results suggest significant differences in cost, technical, and allocative inefficiencies between meat processing firms in eastern, western and southern EU countries. We also find that the gaps between the pooled and region-specific frontiers tend to be small to negligible, which suggests that the main source of pooled inefficiencies are shortcomings in managerial practices rather than differences in region-specific conditions.     

Efficiency estimation in a profit maximising model using flexible production function

This paper uses a flexible (translog) production function to estimate efficiency of 227 farms from West Bengal, India. We consider estimation of technical and allocative inefficiencies using a profit maximising framework which accommodates both endogenous and exogenous inputs. The maximum likelihood method of estimation developed in this paper is based on the production function and the first-order conditions of profit maximisation. Farm-specific technical and allocative inefficiencies are also estimated. Empirical results show that the mean level of technical efficiency is 75.46% while the best farm is 85.87% efficient (technically). So far as allocative efficiency is concerned the majority of the farms are found to be under-users of the endogenous inputs, viz., fertiliser, manure, human and bullock labour.     

The extent of resource use inefficiencies in cotton production in Pakistan's Punjab: an application of Data Envelopment Analysis

This paper attempts to identify sources of resource use inefficiency for cotton production in Pakistan's Punjab. The use of a non‐parametric method, Data Envelopment Analysis (DEA), is developed to study the relative technical and allocative efficiencies of individual farms which use similar inputs, produce the same product and operate under comparable circumstances. In the ‘cotton‐wheat’ system of Pakistan, there are a considerable number of farms that are both technically and allocatively inefficient. The use of DEA shows that the technique provides a clear identification of both the extent and the sources of technical and allocative inefficiencies in cotton production. However, both the interpretation of the farm level results generated and the projection of these results to a higher level require care, given the technical nature of the agricultural production processes.     

Profit Based Efficiency Measures,with an Application to Rice Production in Southern India

Using non‐parametric methods, we estimate the foregone rents due to credit, allocative, and technical inefficiencies of subsistence farmers in Southern India. The lost rents are estimated directly from the Nerlovian efficiency index, and the results suggest the largest foregone rents derive from allocative inefficiencies and then credit inefficiencies. Also, results suggest that farms without well access experience larger losses than those with well access. Econometric results suggest education, the presence of tank water management efforts, and well access influence the level of foregone rent due to allocative and Nerlovian inefficiencies. Educational activities and policies to encourage better management of tanks are considered important for lowering the foregone losses.     

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.     

Farm size,relative efficiency and agrarian policy in Côte d'Ivoire: profit function analysis of rice farms

This paper examines the relative economic efficiency of small and large rice farms in Côte d'Ivoire using a profit function approach. No differences in the relative economic efficiency of small and large farms were found. This conclusion is robust under alternative model specifications. Agrarian reforms directed towards further concentration of landholding for large farms in Côte d'Ivoire cannot be justified based on economic efficiency. Results show that access to credit and use of modern rice varieties significantly increase profits. To improve technical efficiency of rice farms, an accelerated program to provide information, credit, improved seeds and other inputs is needed. When all the farms (i.e. large and small) are taken together, there is evidence of allocative inefficiency. Strategies are needed to remove such management related inefficiencies in rice production either through the development of a better market price information system or effective farmer-oriented technical training programs by rice extension workers.     

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.     

The role of family life-cycle events on persistent and transient inefficiencies in less favoured areas

Family farms dominate less favoured areas (LFAs) within Europe, and family life-cycle conditions, such as succession and retirement, affects how these farms adapt to changing circumstances. Past studies of on-farm technical efficiency have not directly addressed these conditions, but they may explain why some farms are more efficient than others, especially as the farm family model dominates most farming systems. Motivated by the UK's withdrawal from the EU and the debate around establishing replacement support policies, we apply a multi-step model to measure both transient and persistent inefficiencies using a panel of LFA cattle and sheep farms in Scotland over the period 2003–2020. We find a greater prevalence of persistent compared to transient inefficiency, which suggests that structural problems still exist. Farms with planned succession are found to have higher persistent efficiencies, whereas farmers nearing retirement have lower levels. Other factors, such as dependence on subsidy, off-farm activity and classification as severely disadvantaged tend to compound these lower efficiencies. We argue that life-cycle conditions should not be ignored in studies of farm technical efficiency. Within the scope of framing a new agricultural policy for UK administrations, these results inform the debate on support for LFAs, as well as the promotion of support towards generational renewal to ease transition across farm family life-cycle events.     

Relative efficiency of women as farm managers: Profit function analysis in Côte d'Ivoire

The efficiency of women farmers in the agricultural sector of developing countries is passionately debated. Very few studies have examined this issue in African agriculture. All previous studies were based on production functions, but have been criticised as suffering from simultaneous equation bias because the input levels are endogenous. The profit function method avoids these problems. No previous study has used the profit function method to lest for technical, allocative and economic efficiency differences between women and men farmers. The objective of this paper was to determine whether women rice farmers are less efficient than men rice farmers in Côte d'Ivoire using the restricted normalised profit function method. Our results show that the relative degree of efficiency of women is similar to that of men. The paper provides empirical support for efforts to eliminate bias against women farmers in African agriculture.     

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.     

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.     

Determinants of efficiency of vegetable production in smallholder farms: The case of Ethiopia

Improving production efficiency remains as a plausible means of increasing productivity when resource reallocation, and the creation and adoption of new technologies are limited. Technical, allocative and economic efficiencies are derived from a sample of smallholder vegetable farmers in Ethiopia using parametric and non-parametric methods. The results reveal that the two methods yield similar estimates and the existence of substantial inefficiencies in production as well as efficiency differentials among farmers. The analysis of the determinants of efficiency of vegetable production using regression models show that low asset ownership, illiteracy, large family size, inadequate extension contacts, small farm size, age, low off/non-farm income and high consumer spending are the major socio-economic factors causing inefficiency of vegetable production in the study areas. A comparison of the market-driven (vegetables) with the whole-farm (crops and livestock) production efficiency indicates that lower economic efficiency scores for the former might be related to the limited access to capital markets, high consumer spending, and large family size.     

Supply response in Ethiopia: accounting for technical inefficiency

Few empirical studies of supply response using the profit function have accounted for technical inefficiency. Using farm‐level panel data from Ethiopia, this study examines the effect of incorporating technical inefficiency in estimating the supply response of peasant farmers. Two systems of output supply and input demand equations are estimated and compared: the conventional model in which technical efficiency is assumed and another in which technical inefficiency is explicitly incorporated. The model with technical inefficiency is preferred on grounds of theoretical consistency and improved estimates, although model comparison tests are not conclusive. Incorporation of inefficiency generally increases the magnitudes and the statistical significance of own price elasticities, substantially so in the case of fertilizer and fertilizer‐intensive crops, and alters the priority attached to nonprice factors. An important result is that only the specification with inefficiency reveals a significant effect of access to extension services on output. Only this specification finds that output increases with household size, which one expects as the farms in the sample are largely subsistence and producing for own consumption. Furthermore, the results demonstrate that farmers' response to incentives is considerably restricted by inefficiency, suggesting that the traditional model would overstate response by excluding the efficiency variable.     

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.     

Short- and Long-Run Credit Constraints in French Agriculture: A Directional Distance Function Framework Using Expenditure-Constrained Profit Functions

This empirical application investigates the eventual presence of credit constraints using a panel of French farmers. The credit-constrained profit maximization model proposed by Färe, Grosskopf, and Lee is extended in three ways. First, we rephrase the model in terms of directional distance functions to allow duality with the profit function. Second, we model credit constraints in the short-run and investment constraints in the long-run using short- and long-run profit functions. Third, we lag the expenditure constraint one year to account for the separation between planning and production. We find empirical evidence of credit and investment constraints. Financially unconstrained farmers are larger, perform better, and seem to benefit from a virtuous circle where access to financial markets allows better productive choices.     

Spatial dependency and technical efficiency: an application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol,Philippines

We investigated the role of spatial dependency in the technical efficiency estimates of rice farmers using panel data from the Central Visayan island of Bohol in the Philippines. Household‐level data were collected from irrigated and rainfed agro‐ecosystems. In each ecosystem, the geographical information on residential and farm‐plot neighborhood structures was recorded to compare household‐level spatial dependency among four types of neighborhoods. A Bayesian stochastic frontier approach that integrates spatial dependency was used to address the effects of neighborhood structures on farmers’ performance. Incorporating the spatial dimension into the neighborhood structures allowed for identification of the relationships between spatial dependency and technical efficiency through comparison with nonspatial models. The neighborhood structure at the residence and plot levels were defined with a spatial weight matrix where cut‐off distances ranged from 100 to 1,000 m. We found that spatial dependency exists at the residential and plot levels and is stronger for irrigated farms than rainfed farms. We also found that technical inefficiency levels decrease as spatial effects are more taken into account. Because the spatial effects increase with a shorter network distance, the decreasing technical inefficiency implies that the unobserved inefficiencies can be explained better by considering small networks of relatively close farmers over large networks of distant farmers.     

Annual and cropping season environmental production conditions effects on smallholder technical efficiency in sub‐Saharan Africa: Evidence from Ethiopia

This article investigates the impact of environmental production conditions on smallholder farmers’ technical efficiency in Ethiopia for wheat, maize, and sorghum farming. We use a household panel data set with annual and cropping season environmental production conditions to estimate the technical efficiency scores. The results show that including environmental production conditions in the stochastic frontier has a significant impact on farmers’ technical efficiency scores. Technical efficiency scores improve when environmental production conditions are incorporated in the stochastic frontier. Thus, accounting for environmental production conditions reduces the inefficiencies that otherwise may be attributed to the characteristics of smallholder farmers.     

The implied internal rate of return in conventional residual valuations of development sites

Explicit discounted cash flow methods are used in many countries to assess the value of real estate investments or their likely rate of return given a particular price. These are typically supplemented by simpler models for the purpose of estimating market value, leading to debate about different approaches. A parallel situation exists in the case of UK development sites: both cash flow appraisals and simpler residual valuations are used to assess site values. Yet debate here has been limited, even though traditional residual valuations involve steps that depart from project appraisal practices used in mainstream capital budgeting. We explore the relationship between the profit and interest allowances used in traditional residual valuations and the internal rates of return that they appear to imply. Published residual valuations typically allow for profit through use of a simple proportionate relationship between required profit and the cost or final value of a scheme. They also show limited variation in their profit assumptions, but this implies large differences in expected IRRs. Simulated examples then illustrate the implications of applying standard profit-on-cost rates to schemes of different lengths and with different levels of land value. Findings for project duration, in particular, are noteworthy since they indicate that lower IRRs are implied for longer projects, though this relationship is not necessarily rational.     

Farms’ technical inefficiencies in the presence of government programs*

We focus on determining the impacts of government programs on farms’ technical inefficiency levels. We use Kumbhakar's stochastic frontier model that accounts for both production risks and risk preferences. Our theoretical framework shows that decoupled government transfers are likely to increase (decrease) DARA (IARA) farmers’ production inefficiencies if variable inputs are risk decreasing. However, the impacts of decoupled payments cannot be anticipated if variable inputs are risk increasing. We use farm‐level data collected in Kansas to illustrate the model.     

Decomposition of Productivity Growth Using Distance Functions: The Case of Dairy Farms in Three European Countries

Within an output distance function framework, the Total Factor Productivity growth index is decomposed into four components (technical change, technical and allocative efficiency, and scale component). We estimate stochastic translog output distance functions using panel data from dairy farms over the period 1991–94 for three European countries (Germany, the Netherlands, and Poland). Results indicate that the change in the productivity growth index in Germany (+6%) and Poland (−5%) are mainly dictated by the technical change component. In contrast, the productivity growth index in the Netherlands (+3%) is influenced by allocative efficiency components.