Economic-environmental efficiency of European agriculture - a generalized maximum entropy approach

Víctor Moutinho · Margarita Robaina · Pedro Macedo

44 citations0/0 files storedAgricultural Economics (Zemědělská ekonomika)

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Efficiency Analysis Using DEA Agricultural economics and policies Sustainable Agricultural Systems Analysis

Abstract

The study aims to estimate the agricultural economic-environmental efficiency (eco-efficiency) for European countries. Eco-efficiency is obtained by the data envelopment analysis (DEA) and stochastic frontier analysis (SFA) using a generalized maximum entropy (GME) approach. Agriculture gross value added (GVA) is considered as the desirable output and greenhouse gas (GHG) emissions as the undesirable output. Capital, labour, land, energy and nutrients are regarded as inputs. The GVA/GHG ratio is the measure of eco-efficiency. The estimation was made for the years 2005 and 2010, which correspond to the 1st year of commitment to the Kyoto Protocol and the most recent year with information concerning all the variables in the study, and is a period that can allow us to see some changes after the agreement. The results show that in 2005, Austria, Slovenia, Hungary, the Netherlands and Portugal revealed the higher levels of eco-efficiency; and countries such as Estonia, Germany, Ireland, Latvia and Slovakia are the group with the lowest levels of eco-efficiency. In 2010, Bulgaria, Finland, Greece, the Netherlands and Portugal are the group of countries with the higher levels of eco-efficiency, while Denmark, Germany, Latvia, Romania and the United Kingdom are the group with the lowest levels of eco-efficiency.

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References

1978Measuring the efficiency of decision making units 1977Formulation and estimation of stochastic frontier production function models 1977Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error 2000Stochastic Frontier Analysis 2005Estimation and inference in two-stage, semi-parametric models of production processes 2005Towards a theory of decoupling: degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001 2004Reconsidering heterogeneity in panel data estimators of the stochastic frontier model 1977ESTIMATION OF A PRODUCTION FRONTIER MODEL: WITH APPLICATION TO THE PASTORAL ZONE OF EASTERN AUSTRALIA

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