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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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 |
work_keys_str_mv |
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