Measuring Carbon Emissions Performance in 123 Countries: Application of Minimum Distance to the Strong Efficiency Frontier Analysis

In this paper, we have proposed a general approach to obtain a projection of the nearest targets and minimum distance for a given unit. The method takes undesirable output into account. The idea behind it is that nearest targets and minimum distance lead to less variation in inputs and outputs of th...

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Main Authors: Ling Wang, Zhongchang Chen, Dalai Ma, Pei Zhao
Format: Article
Language:English
Published: MDPI AG 2013-12-01
Series:Sustainability
Subjects:
Online Access:http://www.mdpi.com/2071-1050/5/12/5319
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spelling doaj-d45fdb637ff94177820b055f3a19d5d32020-11-24T21:06:56ZengMDPI AGSustainability2071-10502013-12-015125319533210.3390/su5125319su5125319Measuring Carbon Emissions Performance in 123 Countries: Application of Minimum Distance to the Strong Efficiency Frontier AnalysisLing Wang0Zhongchang Chen1Dalai Ma2Pei Zhao3School of Economics and Business Administration, Chongqing University, Chongqing, 400044, ChinaSchool of Public Affairs, Chongqing University, Chongqing, 400044, ChinaSchool of Economics and Business Administration, Chongqing University, Chongqing, 400044, ChinaSchool of Economics and Business Administration, Chongqing University, Chongqing, 400044, ChinaIn this paper, we have proposed a general approach to obtain a projection of the nearest targets and minimum distance for a given unit. The method takes undesirable output into account. The idea behind it is that nearest targets and minimum distance lead to less variation in inputs and outputs of the inefficient decision making units (DMUs) being evaluated to reach the production possibility set (PPS) frontier. Our results have shown that the carbon emissions comprehensive performance indexes (CECPIs) of developing countries are lower than those of developed countries, and that the inefficiency shares of energy consumption, capital stock and desirable output are declining while those of labor force and undesirable output are climbing. Further, using cluster analysis, we have shown that nine countries, including Ukraine, Kazakhstan, Uzbekistan and Iraq, should take severe measures to save energy and reduce carbon emissions. Moreover, the gap in CECPIs among the 123 countries is narrowing by kernel density estimation.http://www.mdpi.com/2071-1050/5/12/5319carbon emissions efficiencyminimum distance to the strong efficiency frontierkernel density estimationcluster analysisdata envelopment analysis
collection DOAJ
language English
format Article
sources DOAJ
author Ling Wang
Zhongchang Chen
Dalai Ma
Pei Zhao
spellingShingle Ling Wang
Zhongchang Chen
Dalai Ma
Pei Zhao
Measuring Carbon Emissions Performance in 123 Countries: Application of Minimum Distance to the Strong Efficiency Frontier Analysis
Sustainability
carbon emissions efficiency
minimum distance to the strong efficiency frontier
kernel density estimation
cluster analysis
data envelopment analysis
author_facet Ling Wang
Zhongchang Chen
Dalai Ma
Pei Zhao
author_sort Ling Wang
title Measuring Carbon Emissions Performance in 123 Countries: Application of Minimum Distance to the Strong Efficiency Frontier Analysis
title_short Measuring Carbon Emissions Performance in 123 Countries: Application of Minimum Distance to the Strong Efficiency Frontier Analysis
title_full Measuring Carbon Emissions Performance in 123 Countries: Application of Minimum Distance to the Strong Efficiency Frontier Analysis
title_fullStr Measuring Carbon Emissions Performance in 123 Countries: Application of Minimum Distance to the Strong Efficiency Frontier Analysis
title_full_unstemmed Measuring Carbon Emissions Performance in 123 Countries: Application of Minimum Distance to the Strong Efficiency Frontier Analysis
title_sort measuring carbon emissions performance in 123 countries: application of minimum distance to the strong efficiency frontier analysis
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2013-12-01
description In this paper, we have proposed a general approach to obtain a projection of the nearest targets and minimum distance for a given unit. The method takes undesirable output into account. The idea behind it is that nearest targets and minimum distance lead to less variation in inputs and outputs of the inefficient decision making units (DMUs) being evaluated to reach the production possibility set (PPS) frontier. Our results have shown that the carbon emissions comprehensive performance indexes (CECPIs) of developing countries are lower than those of developed countries, and that the inefficiency shares of energy consumption, capital stock and desirable output are declining while those of labor force and undesirable output are climbing. Further, using cluster analysis, we have shown that nine countries, including Ukraine, Kazakhstan, Uzbekistan and Iraq, should take severe measures to save energy and reduce carbon emissions. Moreover, the gap in CECPIs among the 123 countries is narrowing by kernel density estimation.
topic carbon emissions efficiency
minimum distance to the strong efficiency frontier
kernel density estimation
cluster analysis
data envelopment analysis
url http://www.mdpi.com/2071-1050/5/12/5319
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AT dalaima measuringcarbonemissionsperformancein123countriesapplicationofminimumdistancetothestrongefficiencyfrontieranalysis
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