Environmental efficiency of rainfed and irrigated wheat crops in Spain. A stochastic DEA metafrontier approach

Abstract This paper studies the environmental efficiency of wheat crops in the different regions of Spain where it is grown. Both rainfed and irrigated wheat cropping systems are considered. Excepting irrigation water consumption, the two groups of observations share the same inputs (namely, N Fertilizers and Non-renewable energy) and outputs (namely, Yield, soil organic carbon, NH 3 emissions, NO 3 − leaching and Global Warming Potential). The three undesirable outputs considered are handled using the transformation method. Given the stochastic character of the variables, a Chance Constrained DEA approach is proposed. A non-radial directional distance function (DDF) model is used. The proposed approach provides deterministic efficiency, stochastic targets and reference units. The two groups of observations are compared using a metafrontier approach and the corresponding technology gap ratios are computed. For each group of observations, the results have identified the best practice regions and those where environmental efficiency improvements are needed.

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Publication Details

Journal
OR Spectrum
Published
2024-10-03
DOI
https://doi.org/10.1007/s00291-024-00791-x
Citations
4
Primary Topic
Efficiency Analysis Using DEA
Type
article
Field-Weighted Citation Impact
1.96

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article

Environmental efficiency of rainfed and irrigated wheat crops in Spain. A stochastic DEA metafrontier approach

Eduardo Aguilera, Ester Gutiérrez, Sebastián Lozano
4 citations
OR Spectrum
Efficiency Analysis Using DEA
1.96
article

Environmental efficiency of rainfed and irrigated wheat crops in Spain. A stochastic DEA metafrontier approach

Eduardo Aguilera, Ester Gutiérrez, Sebastián Lozano
article en
4 citations

Abstract

Abstract This paper studies the environmental efficiency of wheat crops in the different regions of Spain where it is grown. Both rainfed and irrigated wheat cropping systems are considered. Excepting irrigation water consumption, the two groups of observations share the same inputs (namely, N Fertilizers and Non-renewable energy) and outputs (namely, Yield, soil organic carbon, NH 3 emissions, NO 3 − leaching and Global Warming Potential). The three undesirable outputs considered are handled using the transformation method. Given the stochastic character of the variables, a Chance Constrained DEA approach is proposed. A non-radial directional distance function (DDF) model is used. The proposed approach provides deterministic efficiency, stochastic targets and reference units. The two groups of observations are compared using a metafrontier approach and the corresponding technology gap ratios are computed. For each group of observations, the results have identified the best practice regions and those where environmental efficiency improvements are needed.

OR Spectrum
Consejo Superior de Investigaciones Científicas (ES), Universidad de Sevilla (ES)
Universidad de Sevilla, European Commission, Ministerio de Economía y Competitividad, Ministerio de Ciencia e Innovación, European Regional Development Fund, Agencia Estatal de Investigación
Openalex Percentile: Top 13%
Efficiency Analysis Using DEA
1.96
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