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Accounting for slacks to measure and decompose revenue efficiency in the Spanish Designation of Origin wines with DEA

Author Info

Listed author(s):
  • Aparicio, Juan
  • Borras, Fernando
  • Pastor, Jesus T.
  • Vidal, Fernando

Abstract

In this paper, we show how Data Envelopment Analysis (DEA) may be used to measure and decompose revenue inefficiency, taking into account all sources of technical waste in the context of an application to assess the Spanish quality wine sector, in particular Designation of Origin (DO) wines. We try to go beyond the standard approaches, which use Shephard distance functions or directional distance functions, to provide decomposition that incorporates slacks as a source of technical inefficiency. To accomplish this, we will base our analysis on a recent approach introduced in Cooper et al. (2011a). In particular, we show how an output-oriented version of the Weighted Additive model can be used to properly identify revenue, technical, and allocative inefficiencies in Spanish DOs. In the application, we conclude that the main source of revenue inefficiency in this sector is technical waste, and that Cava can be highlighted as the DO that performs as a benchmark for more numbers of units.

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File URL: http://www.sciencedirect.com/science/article/pii/S0377221713004645
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Article provided by Elsevier in its journal European Journal of Operational Research.

Volume (Year): 231 (2013)
Issue (Month): 2 ()
Pages: 443-451

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Handle: RePEc:eee:ejores:v:231:y:2013:i:2:p:443-451
DOI: 10.1016/j.ejor.2013.05.047
Contact details of provider: Web page: http://www.elsevier.com/locate/eor

Keywords: Data Envelopment Analysis; Spanish wine sector; Revenue inefficiency; Slacks;

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Cited by:

  1. Pastor, Jesus T. & Zofio, Jose L., 2017. "Can Farrell's allocative efficiency be generalized by the directional distance function approach?Author-Name: Aparicio, Juan," European Journal of Operational Research, Elsevier, vol. 257(1), pages 345-351.
  2. Tóth, József & Gál, Péter, 2014. "Is the New Wine World more efficient? Factors influencing technical efficiency of wine production," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 116(2), August.
  3. Aparicio, Juan & Borras, Fernando & Pastor, Jesus T. & Vidal, Fernando, 2015. "Measuring and decomposing firm׳s revenue and cost efficiency: The Russell measures revisited," International Journal of Production Economics, Elsevier, vol. 165(C), pages 19-28.
  4. Aparicio, Juan & Borras, Fernando & Pastor, Jesús T. & Zofio, Jose Luis, 2015. "Loss Distance Functions and Profit Function: General Duality Results," Working Papers in Economic Theory 2015/06, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).
  5. Karagiannis, Giannis & Melfou, Katerina, 2015. "Efficiency analysis in a sample of PGI bean producers in Greece," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 16(2), June.
  6. Lozano, S. & Hinojosa, M.A. & Mármol, A.M., 2015. "Set-valued DEA production games," Omega, Elsevier, vol. 52(C), pages 92-100.

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