A metafrontier approach to measuring technical efficiencies across the UK dairy sector

A regional approach is applied to measure technical efficiencies on dairy farms which employs the deterministic metafrontier approach. We construct six super regions for the UK, i.e. Eastern, Western, Northern England, Wales, Scotland and Northern Ireland. Data are collected through three different administrative systems, all be it under the same FADN guidance. We find for dairy farming comparative indicators of performance in all three data sets. The stochastic frontier approach is applied to construct 6 regional frontiers and a pooled (UK) dataset for comparison. A likelihood ratio test rejects the null hypothesis that these regions operate under a common frontier which may indicate bias in previous attempts to measure dairying efficiency at the country level. Mean technical efficiencies are high for the period 2005 to 2008, though there is some indication that little technical progress has occurred since decoupling of CAP payments from production in all regions. The metafrontier presents estimates against a common technology and mean scores range from below 0.50 for the English regions and Northern Ireland, 0.52 for Wales and 0.56 for Scotland. This paper promotes the application of the deterministic metafrontier approach for similar sub-country studies.Stochastic Production Frontiers, Metafrontiers, UK Farm Account Data, Dairy farming., Agricultural and Food Policy, Q12, D24, C23, C51,

TECHNICAL EFFICIENCY IN ORGANIC AND CONVENTIONAL FARMING: EVIDENCE FROM ITALIAN CEREAL FARMS

A stochastic frontier production model was applied to estimate technical efficiency in a sample of Italian organic and conventional cereal farms. The main purpose was to assess which production technique revealed higher efficiency. Statistical tests on the common production function model suggested that the two cultivation methods might lie on different frontiers. Separate analyses of two sub-samples (93 and 138 observations for organic and conventional farms, respectively) found that conventional farms were significantly more efficient than organic farms, with respect to their specific technology (0.902 vs. 0.831). Analysis also estimated that efficiency plays a crucial role into the factors affecting productivity in the organic process. Some policy implications can be drawn from these findings

Chance-Constrained Efficiency Analysis

Data envelopment analysis (DEA) is extended to the case of stochastic inputs and outputs through the use of chance-constrained programming. The chance-constrained envelope envelops a given set of observations "most of the time." We show that the chance-constrained enveloping process leads to the definition of a conventional (certainty-equivalent) efficiency ratio (a ratio between weighted outputs and weighted inputs). Furthermore, extending the concept of Pareto and Koopmans efficiency to the case of chance-constrained dominance (to be defined), we establish the identity of the following two chance-constrained efficiency concepts: (i) the chance constrained DEA efficiency measure of a particular output-input point is unity, and all chance-constraints are binding; (ii) the point is efficient in the sense Pareto and Koopmans. Finally we discuss the implications of our approach for econometric frontier analysis.IC2 Institut

Technical efficiency and technology gaps in beef cattle production systems in Kenya: A stochastic metafrontier analysis

In this study the stochastic metafrontier method is used to investigate technical efficiency and technology gaps across three main beef cattle production systems in Kenya. Results show that there is significant inefficiency in nomadic and agro-pastoral systems. Further, in contrast with ranches, these two systems were found to have lower technology gap ratios. The average pooled technical efficiency was estimated to be 0.69, which suggests that there is considerable scope to improve beef production in KenyaTechnical efficiency, technology gap, beef cattle, production systems, stochastic metafrontier, Kenya., Livestock Production/Industries, D24, O32, Q18,

Efficiency Measurement in the Local Public Sector: Econometric and Mathematical Programming Frontier Techniques

Local government in advanced economies is undergoing a period of rapid reform aimed at enhancing its efficiency and effectiveness. Accordingly, the definition, measurement and improvement of organisational performance is crucial. Despite the importance of efficiency measurement in local government it is only relatively recently that econometric and mathematical frontier techniques have been applied to local public services. This paper attempts to provide a synoptic survey of the comparatively few empirical analyses of efficiency measurement in local government. We examine both the measurement of inefficiency in local public services and the determinants of local public sector efficiency. The implications of efficiency measurement for practitioners in local government are examined by way of conclusion.

Measuring productivity differentials – An application to milk production in Nordic countries

The aim of this paper is to analyse the regional productivity differentials on dairy farms in Denmark, Finland and Sweden. Several methods have been suggested for analysing productivity differentials in agriculture between groups of farms or countries. Hayami [5] and Hayami and Ruttan [7] suggested the meta-production function approach. This idea has been further developed by Lau and Yotopoulos [9] and Fulginity and Perrin [13]. Battese and Rao [2] suggested the meta-frontier analysis for these comparisons. One of the advantages of meta-frontiers with respect to metaproduction functions is that they are able to separate technological differences from the differences in technical efficiency. Battese et al. [5] and O’Donnell et al. [16] have extended this idea and developed both parametric and nonparametric approaches. In this paper, we extend the metafrontier analysis to the concave nonparametric least squares estimation of the production function suggested by Kuosmanen [18,19]. In addition, we compare the results with the approach where the estimation of meta-frontier can be avoided. The reference can also be the maximum output providing technology that is the one that yields the maximum estimated output, given inputs [21]. In this case the estimation can be based either on average or frontier production functions. The farm level data is obtained from the EU’s Farm Accountancy Data Network data set for Denmark, Finland and Sweden. They cover 954 dairy farms in 2003. The results suggest that different method provide slightly different results but in all approaches productivity differentials are considerable in favour of Danish farms. In addition, the Danish technology is not only dominating at the mean but also at most of the data points.productivity, technical efficiency, meta-frontier, Productivity Analysis,

SELF-DUAL STOCHASTIC PRODUCTION FRONTIERS AND DECOMPOSITION OF OUTPUT GROWTH: THE CASE OF OLIVE-GROWING FARMS IN GREECE

This paper provides a decomposition of output growth among olive-growing farms in Greece during the period 1987-1993 by integrating Bauer's (1990) and Bravo-Ureta and Rieger's (1991) approaches. The proposed methodology is based on the use of self-dual production frontier functions. Output growth is attributed to the size effect, technical change, changes in technical and input allocative inefficiency, and the scale effect. Empirical results indicate that the scale and the input allocative inefficiency effects, which were not taken into account in previous studies on output growth decomposition analysis, have caused a 7.3% slowdown and a 11.0% increase in output growth, respectively. Technical change was found to be the main source of TFP growth while both technical and input allocative inefficiency decreased over time. Still though, a 56.5% of output growth is attributed to input growth.Production Economics,

Measuring Efficiency in Fruit and Vegetable Marketing Co-operatives with Heterogeneous Technologies in Canada

The objectives of this study are to estimate the efficiency of fruit and vegetable co-operatives in Canada and to investigate the relationship between the degree of financial leverage and efficiency.Agribusiness,

A Comparative Analysis of Organic and Conventional Farming trough the Italian FADN

This paper presents some results from a wider research on economic and environmental sustainability of organic farming. It aims to compare organic and conventional farming in order to identify some of the main differences between those groups of farms that participated in the official Farm Accountancy Data Network (FADN)-2003. The study is organized in two sections. The first part, after a brief literature review of the most recent statistical methodologies applied to identify the two similar groups of farms, presents some key economic variables (production, costs and revenues) and the most widely-used structural, economic and balance sheet indexes. The second part describes findings from a case study on the Italian fruit-growing sector. A non-parametric input-oriented frontier analysis (Data Envelopment Analysis, DEA)was used to evaluate which technique makes better use of their disposable productive inputs. Findings show that organic farmers can (partially) overcome the productivity gap (with respect to conventional ones) by more efficient use of their inputs (with respect to their own frontier)