LAPSE:2020.0042
Published Article
LAPSE:2020.0042
A DEA Approach for Assessing the Energy, Environmental and Economic Performance of Top 20 Industrial Countries
Wasim Iqbal, Ali Altalbe, Arooj Fatima, Amjad Ali, Yumei Hou
January 7, 2020
Due to growing concerns of global warming, reducing carbon emissions has become one of the major tasks for developing countries to meet the national demand for energy policies. The objective of this study is to measure the energy consumption, carbon emission and economic-environmental efficiency in terms of the environmental performance of the top 20 industrial countries by employing a data envelopment analysis (DEA) model from 2013 to 2017. This study used the trilemma of energy efficiency, CO2 emission efficiency, and environmental efficiency, and also the contribution included the quantitative analysis of 20 industrial countries The results show that the energy efficiency of Australia, China, Japan, Saudi Arabia, and Poland are the best performing countries, whereas Mexico, Indonesia, Russia, and Brazil are identified as least efficient among all 20 countries. Furthermore, Russia’s energy intensity has a maximum score while Poland has a minimum score. Additionally, in the case of CO2 emission efficiency, Brazil, France, and Saudi Arabia are considered as efficient while nine country’s scores were less than 0.5. The results show that most countries exhibit higher performance in economic efficiency than environmental efficiency. The study provides valuable information for energy policy-makers.
Keywords
CO2 emission efficiency, economic-environmental efficiency, energy consumption efficiency, Slack-based DEA, top 20 industrial countries
Suggested Citation
Iqbal W, Altalbe A, Fatima A, Ali A, Hou Y. A DEA Approach for Assessing the Energy, Environmental and Economic Performance of Top 20 Industrial Countries. (2020). LAPSE:2020.0042
Author Affiliations
Iqbal W: College of Economics and Management Yanshan University, Qinhuangdao 066004, China [ORCID]
Altalbe A: Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 80258, Saudi Arabia [ORCID]
Fatima A: College of Economics and Management Yanshan University, Qinhuangdao 066004, China
Ali A: Knowledge Unit of Business, Economics, Accountancy and Commerce, University of Management and Technology, Sialkot 51310, Pakistan
Hou Y: College of Economics and Management Yanshan University, Qinhuangdao 066004, China
Journal Name
Processes
Volume
7
Issue
12
Article Number
E902
Year
2019
Publication Date
2019-12-02
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr7120902, Publication Type: Journal Article
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LAPSE:2020.0042
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doi:10.3390/pr7120902
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Jan 7, 2020
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CC BY 4.0
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Jan 7, 2020
 
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Calvin Tsay
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