Measuring Environmental Performance of Provincial Thermal Power Plants in China: A Malmquist DEA Approach with Fixed-Sum Undesirable Outputs
With the development of China’s economy, environmental pollution has become cumulatively serious. The primary source of environmental pollution is thermal power generation, which has attracted the attention of governments and academia in recent years. To effectively reduce environmental pollution, r...
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Veröffentlicht in: | Journal of systems science and complexity 2022-08, Vol.35 (4), p.1201-1224 |
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description | With the development of China’s economy, environmental pollution has become cumulatively serious. The primary source of environmental pollution is thermal power generation, which has attracted the attention of governments and academia in recent years. To effectively reduce environmental pollution, research should study how to constrain the undesirable output of thermal power plants, that is, to limit the total undesirable output of the plants to a certain fixed sum. However, few studies have suggested that these undesirable outputs should be fixed-sum outputs. Moreover, no previous research publication about thermal power plants has analyzed their environmental performance changes. To address these gaps, a novel Malmquist-DEA approach is proposed for evaluate the environmental performance of thermal power plants in this paper. This approach generalizes the equilibrium efficient frontier DEA model with fixed-sum undesirable outputs and incorporates the model into the Malmquist productivity index (MPI). The authors apply this approach to the analysis of provincial thermal power plant environmental performance in China and analyze such plants’ trends based on panel data from 2011 to 2014. The empirical research shows that the environmental performance of regional thermal power plants was positively affected by efficiency change and negatively affected by technical change. Finally, the authors provide policy suggestions based on our findings. |
doi_str_mv | 10.1007/s11424-022-0055-6 |
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The primary source of environmental pollution is thermal power generation, which has attracted the attention of governments and academia in recent years. To effectively reduce environmental pollution, research should study how to constrain the undesirable output of thermal power plants, that is, to limit the total undesirable output of the plants to a certain fixed sum. However, few studies have suggested that these undesirable outputs should be fixed-sum outputs. Moreover, no previous research publication about thermal power plants has analyzed their environmental performance changes. To address these gaps, a novel Malmquist-DEA approach is proposed for evaluate the environmental performance of thermal power plants in this paper. This approach generalizes the equilibrium efficient frontier DEA model with fixed-sum undesirable outputs and incorporates the model into the Malmquist productivity index (MPI). The authors apply this approach to the analysis of provincial thermal power plant environmental performance in China and analyze such plants’ trends based on panel data from 2011 to 2014. The empirical research shows that the environmental performance of regional thermal power plants was positively affected by efficiency change and negatively affected by technical change. 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The primary source of environmental pollution is thermal power generation, which has attracted the attention of governments and academia in recent years. To effectively reduce environmental pollution, research should study how to constrain the undesirable output of thermal power plants, that is, to limit the total undesirable output of the plants to a certain fixed sum. However, few studies have suggested that these undesirable outputs should be fixed-sum outputs. Moreover, no previous research publication about thermal power plants has analyzed their environmental performance changes. To address these gaps, a novel Malmquist-DEA approach is proposed for evaluate the environmental performance of thermal power plants in this paper. This approach generalizes the equilibrium efficient frontier DEA model with fixed-sum undesirable outputs and incorporates the model into the Malmquist productivity index (MPI). The authors apply this approach to the analysis of provincial thermal power plant environmental performance in China and analyze such plants’ trends based on panel data from 2011 to 2014. The empirical research shows that the environmental performance of regional thermal power plants was positively affected by efficiency change and negatively affected by technical change. Finally, the authors provide policy suggestions based on our findings.</description><subject>Complex Systems</subject><subject>Control</subject><subject>Empirical analysis</subject><subject>Mathematics</subject><subject>Mathematics and Statistics</subject><subject>Mathematics of Computing</subject><subject>Operations Research/Decision Theory</subject><subject>Performance evaluation</subject><subject>Power plants</subject><subject>Statistics</subject><subject>Systems Theory</subject><subject>Thermal power plants</subject><subject>Thermoelectricity</subject><issn>1009-6124</issn><issn>1559-7067</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp1kMFOwzAMhisEEmPwANwicQ44aZu23KaxAdLQJrGdo7RzWaY27ZJ2g3fgock0JE6cbNn__9v6guCWwT0DSB4cYxGPKHBOAeKYirNgwOI4owmI5Nz3ABkVjEeXwZVzW4BQZJAOgu83VK632nyQidlr25gaTacqskBbNrZWpkDSlGRhm702hfab5Qb93CuaA1qyqJTpHNGGjDfaqEcyIm-qqne9dh15mozIqG1to4oNOehuQ6b6E9f0va_JyqzRaavyCsm879q-c9fBRakqhze_dRisppPl-IXO5s-v49GMFiETHc25WHNMS1HkaZlClIsIWZ6GKsQwU3nM0xJiJRRDAC7SpIhEnjCRCq8SccbDYXB3yvWf7Xp0ndw2vTX-pOQiy1jkQyOvYidVYRvnLJaytbpW9ksykEfo8gRdeujyCF0K7-Enj2uPTNH-Jf9v-gHjVIVd</recordid><startdate>20220801</startdate><enddate>20220801</enddate><creator>Hou, Wenhui</creator><creator>Zheng, Yunwen</creator><creator>Liang, Liang</creator><creator>Li, Yongjun</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20220801</creationdate><title>Measuring Environmental Performance of Provincial Thermal Power Plants in China: A Malmquist DEA Approach with Fixed-Sum Undesirable Outputs</title><author>Hou, Wenhui ; Zheng, Yunwen ; Liang, Liang ; Li, Yongjun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-b26d2e8f6cb8f804b64e1b83a3e39ab528f05a6a1e002687c46b71686e1b65923</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Complex Systems</topic><topic>Control</topic><topic>Empirical analysis</topic><topic>Mathematics</topic><topic>Mathematics and Statistics</topic><topic>Mathematics of Computing</topic><topic>Operations Research/Decision Theory</topic><topic>Performance evaluation</topic><topic>Power plants</topic><topic>Statistics</topic><topic>Systems Theory</topic><topic>Thermal power plants</topic><topic>Thermoelectricity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hou, Wenhui</creatorcontrib><creatorcontrib>Zheng, Yunwen</creatorcontrib><creatorcontrib>Liang, Liang</creatorcontrib><creatorcontrib>Li, Yongjun</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of systems science and complexity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hou, Wenhui</au><au>Zheng, Yunwen</au><au>Liang, Liang</au><au>Li, Yongjun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Measuring Environmental Performance of Provincial Thermal Power Plants in China: A Malmquist DEA Approach with Fixed-Sum Undesirable Outputs</atitle><jtitle>Journal of systems science and complexity</jtitle><stitle>J Syst Sci Complex</stitle><date>2022-08-01</date><risdate>2022</risdate><volume>35</volume><issue>4</issue><spage>1201</spage><epage>1224</epage><pages>1201-1224</pages><issn>1009-6124</issn><eissn>1559-7067</eissn><abstract>With the development of China’s economy, environmental pollution has become cumulatively serious. The primary source of environmental pollution is thermal power generation, which has attracted the attention of governments and academia in recent years. To effectively reduce environmental pollution, research should study how to constrain the undesirable output of thermal power plants, that is, to limit the total undesirable output of the plants to a certain fixed sum. However, few studies have suggested that these undesirable outputs should be fixed-sum outputs. Moreover, no previous research publication about thermal power plants has analyzed their environmental performance changes. To address these gaps, a novel Malmquist-DEA approach is proposed for evaluate the environmental performance of thermal power plants in this paper. This approach generalizes the equilibrium efficient frontier DEA model with fixed-sum undesirable outputs and incorporates the model into the Malmquist productivity index (MPI). The authors apply this approach to the analysis of provincial thermal power plant environmental performance in China and analyze such plants’ trends based on panel data from 2011 to 2014. The empirical research shows that the environmental performance of regional thermal power plants was positively affected by efficiency change and negatively affected by technical change. Finally, the authors provide policy suggestions based on our findings.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s11424-022-0055-6</doi><tpages>24</tpages></addata></record> |
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subjects | Complex Systems Control Empirical analysis Mathematics Mathematics and Statistics Mathematics of Computing Operations Research/Decision Theory Performance evaluation Power plants Statistics Systems Theory Thermal power plants Thermoelectricity |
title | Measuring Environmental Performance of Provincial Thermal Power Plants in China: A Malmquist DEA Approach with Fixed-Sum Undesirable Outputs |
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