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Identification of Environmental and Economic Indicators: A Case Study of EU Countries with the Use of the DEA Method

In: Advances in Quantitative Economic Research

Author

Listed:
  • Dimitrios Niklis

    (University of Western Macedonia)

  • Pavlos Stamatiou

    (University of Macedonia)

  • Chaido Dritsaki

    (University of Western Macedonia)

Abstract

Economic development is crucial for all the authorities, in both local and national level. On the other hand, environmental protection is an issue of increased interest, especially in the last decades. There is a debate how likely is to achieve sustained growth without deterioration of the environment. The aim of this study is to identify the relationship between environmental and economic indicators with a use of a non-parametric method, namely, DEA (Data Envelopment Analysis), among EU-27 countries. For this purpose, two environmental indicators (greenhouse gas emissions per capita and greenhouse gas emissions in ESD sectors) will be used as inputs and two economic indicators (GDP per capita and real expenditure per capita) as outputs by following input-oriented approach. Moreover, to identify the balance between efficient and non-efficient countries and the potential improvements of environmental inputs without changing the economic outputs. Dataset consists of EU countries, for the period 2015–2019. The results would lead to strategies and policies that can be proposed and help governments or policymakers to obtain more sound decisions, guided by economic as well as environmental development.

Suggested Citation

  • Dimitrios Niklis & Pavlos Stamatiou & Chaido Dritsaki, 2022. "Identification of Environmental and Economic Indicators: A Case Study of EU Countries with the Use of the DEA Method," Springer Proceedings in Business and Economics, in: Nicholas Tsounis & Aspasia Vlachvei (ed.), Advances in Quantitative Economic Research, chapter 0, pages 439-450, Springer.
  • Handle: RePEc:spr:prbchp:978-3-030-98179-2_30
    DOI: 10.1007/978-3-030-98179-2_30
    as

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