Energy efficiency measurement in agriculture with imprecise energy content information
AbstractEnergy efficiency measurement is crucial when planning energy reduction policies. However, decision makers understandably will be reluctant to act in the absence of solid data and results supporting a policy position. The main objective of this paper is to propose an alternative method to measure farm energy efficiency. This method is based on the Data Envelopment Analysis (DEA) approach in a cost framework introduced by Farrell (1957) and developed by Färe et al. (1985). We decompose the energy efficiency measurement into two components, namely technical and allocative efficiencies. Here, input prices are replaced by their energy content. The energy efficiency model is used to explore the optimal input-mix that produces the current outputs at minimum energy-consumption. We show that this decomposition can help policy makers considerably to design accurate energy policies. The presence of uncertainty on data, and more particularly on energy content of inputs, leads us to recommend exploiting the methodologies proposed for calculating the bounds of efficiency measurement in order to produce more robust results. We expect to alert policy-makers in the fact that efficiency is not a fixed value and should be considered with caution. A 2007 database of French farms specialized in crops is used for empirical illustration.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by International Association of Agricultural Economists in its series 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil with number 130583.
Date of creation: 2012
Date of revision:
Crop-farming; Data Envelopment Analysis; energy efficiency; uncertainty; Research and Development/Tech Change/Emerging Technologies; Research Methods/ Statistical Methods; D24; O13; Q15; Q4;
Other versions of this item:
- Stéphane Blancard & Elsa Martin, 2012. "Energy efficiency measurement in agriculture with imprecise energy content information," INRA UMR CESAER Working Papers 2012/6, INRA UMR CESAER, Centre d’Economie et Sociologie appliquées à l’Agriculture et aux Espaces Ruraux.
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
- O13 - Economic Development, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
- Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
- Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-08-23 (All new papers)
- NEP-EFF-2012-08-23 (Efficiency & Productivity)
- NEP-ENE-2012-08-23 (Energy Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Léopold Simar & Paul Wilson, 2000.
"Statistical Inference in Nonparametric Frontier Models: The State of the Art,"
Journal of Productivity Analysis,
Springer, vol. 13(1), pages 49-78, January.
- Simar, L. & Wilson, P.W., 1999. "Statistical Inference in Nonparametric Frontier Models: the State of the Art," Papers 9904, Catholique de Louvain - Institut de statistique.
- Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
- Charnes, A. & Cooper, W. W. & Huang, Z. M. & Sun, D. B., 1990. "Polyhedral Cone-Ratio DEA Models with an illustrative application to large commercial banks," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 73-91.
- Wilson, Paul W., 2008. "FEAR: A software package for frontier efficiency analysis with R," Socio-Economic Planning Sciences, Elsevier, vol. 42(4), pages 247-254, December.
- Patterson, Murray G, 1996. "What is energy efficiency? : Concepts, indicators and methodological issues," Energy Policy, Elsevier, vol. 24(5), pages 377-390, May.
- Thompson, Russell G. & Langemeier, Larry N. & Lee, Chih-Tah & Lee, Euntaik & Thrall, Robert M., 1990. "The role of multiplier bounds in efficiency analysis with application to Kansas farming," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 93-108.
- Daraio, Cinzia & Simar, Leopold, 2006. "A robust nonparametric approach to evaluate and explain the performance of mutual funds," European Journal of Operational Research, Elsevier, vol. 175(1), pages 516-542, November.
- Schaffnit, Claire & Rosen, Dan & Paradi, Joseph C., 1997. "Best practice analysis of bank branches: An application of DEA in a large Canadian bank," European Journal of Operational Research, Elsevier, vol. 98(2), pages 269-289, April.
- Hoang, Viet-Ngu & Rao, D.S. Prasada, 2010. "Measuring and decomposing sustainable efficiency in agricultural production: A cumulative exergy balance approach," Ecological Economics, Elsevier, vol. 69(9), pages 1765-1776, July.
- SIMAR, Léopold & WILSON, Paul, 1995.
"Sensitivity Analysis to Efficiency Scores : How to Bootstrap in Nonparametric Frontier Models,"
CORE Discussion Papers
1995043, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
- Kuosmanen, Timo & Post, Thierry, 2003. "Measuring economic efficiency with incomplete price information," European Journal of Operational Research, Elsevier, vol. 144(2), pages 454-457, January.
- Kuosmanen, Timo & Post, Thierry, 2001. "Measuring economic efficiency with incomplete price information: With an application to European commercial banks," European Journal of Operational Research, Elsevier, vol. 134(1), pages 43-58, October.
- Wilson, Paul W, 1993. "Detecting Outliers in Deterministic Nonparametric Frontier Models with Multiple Outputs," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(3), pages 319-23, July.
- Cazals, Catherine & Florens, Jean-Pierre & Simar, Léopold, 2002.
"Nonparametric Frontier Estimation: A Robust Approach,"
Open Access publications from University of Toulouse 1 Capitole
http://neeo.univ-tlse1.fr, University of Toulouse 1 Capitole.
- Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
- Zhou, P. & Ang, B.W., 2008. "Linear programming models for measuring economy-wide energy efficiency performance," Energy Policy, Elsevier, vol. 36(8), pages 2901-2906, August.
- Mostafaee, A. & Saljooghi, F.H., 2010. "Cost efficiency measures in data envelopment analysis with data uncertainty," European Journal of Operational Research, Elsevier, vol. 202(2), pages 595-603, April.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search).
If references are entirely missing, you can add them using this form.