The impact of the 1999 CAP reforms on the efficiency of the COP sector in Spain

The cereal, oilseeds, and protein crop sector (COP) occupies a prominent position within the European Union's agricultural sector. Within Spain, the COP sector accounts for almost a third of total Agricultural Guidance and Guarantee Fund expenses, and half of the utilized agricultural area (UAA). The COP sector is not only relevant because of its physical and economic magnitude, but also because of the political attention it receives. The Common Agricultural Policy (CAP) reforms that occurred during the 1990s paid special attention to this sector. This article aims to determine the impacts of Agenda 2000 on a sample of Spanish COP farmers' production decisions by using an output-oriented stochastic distance function. The distance function allows for an assessment of the reform-motivated changes on total output, input used, input composition, and crop mix. It also permits an assessment of the impacts of the reform on farms' technical efficiency. Copyright (c) 2009 International Association of Agricultural Economists.

[1]  Paolo Sckokai,et al.  Modelling the CAP arable crop regime in Italy : degree of decoupling and impact of Agenda 2000 , 1999, Cahiers d'Economie et sociologie rurales.

[2]  W. Meeusen,et al.  Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error , 1977 .

[3]  R. Ackrill.  CAP Reform 1999: A Crisis in the Making , 2000 .

[4]  D. Primont,et al.  Multi-Output Production and Duality: Theory and Applications , 1994 .

[5]  Sergio Perelman,et al.  Measuring technical efficiency in European railways: A panel data approach , 1992 .

[6]  D. Aigner,et al.  P. Schmidt, 1977,?Formulation and estimation of stochastic frontier production function models,? , 1977 .

[7]  Catherine J. Morrison Paul,et al.  Efficiency in New Zealand Sheep and Beef Farming: The Impacts of Regulatory Reform , 2000, Review of Economics and Statistics.

[8]  J. Froud,et al.  PARTICIPATION IN SET ASIDE: WHAT DETERMINES THE OPTING IN PRICE? , 1996 .

[9]  David Zilberman,et al.  Farms Technical Inefficiencies in the Presence of Government Programs , 2008 .

[10]  Subal C. Kumbhakar,et al.  Stochastic frontier analysis , 2000 .

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

[12]  L. R. Christensen,et al.  MULTILATERAL COMPARISONS OF OUTPUT, INPUT, AND PRODUCTIVITY USING SUPERLATIVE INDEX NUMBERS* , 1982 .

[13]  SET‐ASIDE PREMIUMS AND THE MAY 1992 CAP REFORMS , 1993 .

[14]  C. Lovell,et al.  Stochastic Frontier Analysis: Frontmatter , 2000 .

[15]  Sergio Perelman,et al.  Technical efficiency of European railways: a distance function approach , 2000 .

[16]  M. Farrell.  The Measurement of Productive Efficiency , 1957 .

[17]  Shawna Grosskopf,et al.  Budget-Constrained Frontier Measures of Fiscal Equality and Efficiency in Schooling , 1997, Review of Economics and Statistics.

[18]  T. Coelli,et al.  Efficiency measurement, multiple-output technologies and distance functions: with application to European Railways , 2000 .

[19]  Teresa Serra,et al.  Replacement of Agricultural Price Supports by Area Payments in the European Union and the Effects on Pesticide Use , 2005 .

[20]  Belet Weyne.  Food and Agriculture Organization , 1949, International Organization.

[21]  R. Shepherd.  Theory of cost and production functions , 1970 .

[22]  R. Shephard.  Cost and production functions , 1953 .

[23]  Paolo Sckokai,et al.  Modeling the Reforms of the Common Agricultural Policy for Arable Crops Under Uncertainty , 2006 .

[24]  Technical efficiency analysis and decomposition of productivity growth of Spanish olive farms , 2007 .

[25]  Alfons Oude Lansink,et al.  Modelling the new EU cereals and oilseeds regime in the Netherlands , 1996 .

[26]  C. Lovell,et al.  RESOURCES AND FUNCTIONINGS: A NEW VIEW OF INEQUALITY IN AUSTRALIA , 1994 .

[27]  G. Debreu.  The Coefficient of Resource Utilization , 1951 .