Efficiency, total factor productivity and returns to scale in a sustainable perspective: An analysis in the European Union at farm and regional level

For global sustainability it is imperative to find a balance across the three main components of sustainable development which are the economic, social and environmental aspects. However, it is not a simple task to make these contexts compatible, usually because of economic pressures which transform them into opposed objectives. This framework occurs across several dimensions within society and the economy, where the agricultural sector is not an exception. The objective of this study is to analyse the efficiency, total factor productivity and returns to scale in an economic, social and environmental perspective in farms of the European Union (EU) regions through Data Envelopment Analysis (DEA) approaches. The research concerning the returns to scale will be complemented by the Keynesian models. Data obtained from the European Union Farm Accountancy Data Network (FADN) was considered. The results show that in maintaining or improving the levels of production in farms, it is often possible to greatly reduce, in some cases, the consumption of fertilizers and crop protection products. On the other hand, from a social perspective, some European Union regions are more generous in the salaries paid to farming workers and absorb more labour, which in a European context of unemployment, may be an interesting way to realistically look at and be engaged in the agricultural planning in a sustainable way, founding a balanced trade-off among the economic, social and environmental dimensions.

[1]  A. Rezitis Agricultural productivity and convergence: Europe and the United States , 2010 .

[2]  P. J. Verdoorn Verdoorn's Law in Retrospect: A Comment , 1980 .

[3]  Dimitris Skuras,et al.  The impacts of regulated notions of quality on farm efficiency: A DEA application , 2005, Eur. J. Oper. Res..

[4]  Laure Latruffe,et al.  Modelling pollution-generating technologies in performance benchmarking: Recent developments, limits and future prospects in the nonparametric framework , 2016, Eur. J. Oper. Res..

[5]  Kelvin Balcombe,et al.  Determinants of technical efficiency of crop and livestock farms in Poland , 2004 .

[6]  N. Kaldor The Case for Regional Policies , 1970 .

[7]  Francisco J. André,et al.  Indirect elicitation of non-linear multi-attribute utility functions. A dual procedure combined with DEA , 2009 .

[8]  Isabelle Piot-Lepetit,et al.  Technological externalities and environmental policy , 2014, Ann. Oper. Res..

[9]  Liang Liang,et al.  A DEA-based approach for fair reduction and reallocation of emission permits , 2013, Math. Comput. Model..

[10]  Kristína Kočišová Application of the DEA on the measurement of efficiency in the EU countries , 2016 .

[11]  D. Solís,et al.  Technical efficiency in farming: a meta-regression analysis , 2007 .

[12]  Mohammad Alauddin,et al.  Explaining agricultural productivity growth: an international perspective , 2010 .

[13]  Andrés J. Picazo‐Tadeo,et al.  The policy analysis matrix with profit-efficient data: evaluating profitability in rice cultivation. , 2008 .

[14]  Jean-Philippe Boussemart,et al.  Economic value of greenhouse gases and nitrogen surpluses: Society vs farmers' valuation , 2012, Eur. J. Oper. Res..

[15]  J. Špička,et al.  The Technical Efficiency of Specialised Milk Farms: A Regional View , 2014, TheScientificWorldJournal.

[16]  B. Miran,et al.  A comparative analysis on productivity and efficiency of agricultural production of the EU and Turkey , 2013 .

[17]  Spyros Niavis,et al.  A DEA approach for estimating the agricultural energy and environmental efficiency of EU countries , 2014 .

[18]  Laure Latruffe,et al.  Relationships between Technical Efficiency and Financial Management for Czech Republic Farms , 2007 .

[19]  Enrique Bernal-Jurado,et al.  Efficiency and exports: Evidence from Southern European companies , 2015 .

[20]  Tomasz Kijek,et al.  Technical efficiency and its determinants in the European Union agriculture. , 2016 .

[21]  Francisco J. Mesías,et al.  Assessing the technical efficiency of extensive livestock farming systems in Extremadura, Spain , 2009 .

[22]  J. C. Gerdessen,et al.  Data Envelopment Analysis of sustainability indicators of European agricultural systems at regional level , 2013 .

[23]  P. Douglas,et al.  A theory of production , 1928 .

[24]  Antonio F. Amores,et al.  New approach for the assignment of new European agricultural subsidies using scores from data envelopment analysis: Application to olive-growing farms in Andalusia (Spain) , 2009, Eur. J. Oper. Res..

[25]  Laure Latruffe,et al.  Measures of farm business efficiency , 2008, Ind. Manag. Data Syst..

[26]  Hawes Black,et al.  Farm Accountancy Data Network , 2014 .

[27]  J. Wolf,et al.  Assessing climate change and associated socio-economic scenarios for arable farming in the Netherlands: An application of benchmarking and bio-economic farm modelling , 2014 .

[28]  Alessio Ishizaka,et al.  Multi-criteria Decision Analysis: Methods and Software , 2013 .

[29]  N. Kaldor Strategic Factors in Economic Development , 1967 .

[30]  N. Kaldor Economic Growth and the Verdoorn Law--A Comment on Mr Rowthorn's Article , 1975 .

[31]  J. Gómez-García,et al.  Estimation of the efficiency of structural funds: a parametric and nonparametric approach , 2012 .