Determinants of Environmental Efficiency of the EU Countries Using Two-Step DEA Approach

Roman Lacko and Zuzana Hajduová
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Roman Lacko: Department of Economics, Faculty of Business Economics with seat in Košice, University of Economics in Bratislava, Tajovského 13, 041 30 Košice, Slovakia
Zuzana Hajduová: Department of Quantitative Methods, Faculty of Business Economics with seat in Košice, University of Economics in Bratislava, Tajovského 13, 041 30 Košice, Slovakia

Sustainability, 2018, vol. 10, issue 10, 1-13

Abstract: The article discusses the environmental efficiency of the countries of the European Union and its main objective is to verify models that could be used to explain changes in efficiency in selected countries and to add to the contributions of other authors. Two-step Data Envelopment Analysis (DEA) has been used, which is a suitable method for verifying the statistical significance of environmental variables. Two DEA models—CCR and BCC—were used and efficiencies have undergone a double-bootstrap procedure. As input variables, three emission per capita indices were computed to single output GDP per capita. Three truncated regression models have been proposed. Results have shown that the model with drivers of climate change and variables connected to socio-economic factors is the most relevant and significant. There are common variables, whose improvement increases the efficiencies in all European Union countries, but there are also indices which have to be considered in individual/subgroup policies and implications, such as environmental taxes, waste management, resources productivity, and transport of goods management.

Keywords: DEA; two-step; emissions; environmental efficiency; European Union (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:10:y:2018:i:10:p:3525-:d:173082

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