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Provincial green economic efficiency of China: A non-separable input–output SBM approach
•We use a non-separable input/output SBM model to measure China’s provincial green economic efficiencies.•We decompose green economic inefficiency from each input and output to find improving directions.•The whole green economic efficiency is low in China, and there are large differences among regio...
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Published in: | Applied energy 2016-06, Vol.171, p.58-66 |
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creator | Tao, Xueping Wang, Ping Zhu, Bangzhu |
description | •We use a non-separable input/output SBM model to measure China’s provincial green economic efficiencies.•We decompose green economic inefficiency from each input and output to find improving directions.•The whole green economic efficiency is low in China, and there are large differences among regions.•The sources for green economic inefficiencies in different regions are different.•Different measures should be made out for different regions.
Aiming at the undesirable output (CO2 emission) and non-separable inputs and outputs, we employ a non-separable input/output SBM model to measure China’s provincial green economic efficiency during 1995–2012. Empirical results indicate that (i) there are larger interregional differences in green economic efficiencies. The highest efficiency of 0.7339 is recorded at the southern coastal region, followed by those at the eastern coastal and northern coastal regions. The lowest efficiency only reaches 0.3049 at the northwestern region. (ii) Energy and CO2 emission are the key factors for green economic efficiencies. (iii) Different regions have different energy-saving and CO2 emission reduction potentials. The southern coastal region should at least save energy of 4.7million tons of standard coal. The middle Yellow River, northern coastal and northeast regions should save energy as much as 62, 60, 51million tons of standard coal. CO2 emission excess in the middle Yellow River region reaches 450million tons in 2012, while CO2 emission excess in the southern coastal region is only 12million tons. Finally, we propose some target policies to improve China’s regional green economic efficiencies. |
doi_str_mv | 10.1016/j.apenergy.2016.02.133 |
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Aiming at the undesirable output (CO2 emission) and non-separable inputs and outputs, we employ a non-separable input/output SBM model to measure China’s provincial green economic efficiency during 1995–2012. Empirical results indicate that (i) there are larger interregional differences in green economic efficiencies. The highest efficiency of 0.7339 is recorded at the southern coastal region, followed by those at the eastern coastal and northern coastal regions. The lowest efficiency only reaches 0.3049 at the northwestern region. (ii) Energy and CO2 emission are the key factors for green economic efficiencies. (iii) Different regions have different energy-saving and CO2 emission reduction potentials. The southern coastal region should at least save energy of 4.7million tons of standard coal. The middle Yellow River, northern coastal and northeast regions should save energy as much as 62, 60, 51million tons of standard coal. CO2 emission excess in the middle Yellow River region reaches 450million tons in 2012, while CO2 emission excess in the southern coastal region is only 12million tons. Finally, we propose some target policies to improve China’s regional green economic efficiencies.</description><identifier>ISSN: 0306-2619</identifier><identifier>EISSN: 1872-9118</identifier><identifier>DOI: 10.1016/j.apenergy.2016.02.133</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Carbon dioxide ; Coal ; Coastal areas ; Economics ; Emission ; Energy conservation ; Energy saving and emissions reduction potential ; Green economic efficiency ; Input and output inefficiency ; Non-separable input/output SBM model ; Rivers</subject><ispartof>Applied energy, 2016-06, Vol.171, p.58-66</ispartof><rights>2016 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c378t-e38ed6e30ba3b42ba378b9d92ab3ac7505aedc4b512c16528cfff76cbbdc23583</citedby><cites>FETCH-LOGICAL-c378t-e38ed6e30ba3b42ba378b9d92ab3ac7505aedc4b512c16528cfff76cbbdc23583</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Tao, Xueping</creatorcontrib><creatorcontrib>Wang, Ping</creatorcontrib><creatorcontrib>Zhu, Bangzhu</creatorcontrib><title>Provincial green economic efficiency of China: A non-separable input–output SBM approach</title><title>Applied energy</title><description>•We use a non-separable input/output SBM model to measure China’s provincial green economic efficiencies.•We decompose green economic inefficiency from each input and output to find improving directions.•The whole green economic efficiency is low in China, and there are large differences among regions.•The sources for green economic inefficiencies in different regions are different.•Different measures should be made out for different regions.
Aiming at the undesirable output (CO2 emission) and non-separable inputs and outputs, we employ a non-separable input/output SBM model to measure China’s provincial green economic efficiency during 1995–2012. Empirical results indicate that (i) there are larger interregional differences in green economic efficiencies. The highest efficiency of 0.7339 is recorded at the southern coastal region, followed by those at the eastern coastal and northern coastal regions. The lowest efficiency only reaches 0.3049 at the northwestern region. (ii) Energy and CO2 emission are the key factors for green economic efficiencies. (iii) Different regions have different energy-saving and CO2 emission reduction potentials. The southern coastal region should at least save energy of 4.7million tons of standard coal. The middle Yellow River, northern coastal and northeast regions should save energy as much as 62, 60, 51million tons of standard coal. CO2 emission excess in the middle Yellow River region reaches 450million tons in 2012, while CO2 emission excess in the southern coastal region is only 12million tons. Finally, we propose some target policies to improve China’s regional green economic efficiencies.</description><subject>Carbon dioxide</subject><subject>Coal</subject><subject>Coastal areas</subject><subject>Economics</subject><subject>Emission</subject><subject>Energy conservation</subject><subject>Energy saving and emissions reduction potential</subject><subject>Green economic efficiency</subject><subject>Input and output inefficiency</subject><subject>Non-separable input/output SBM model</subject><subject>Rivers</subject><issn>0306-2619</issn><issn>1872-9118</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqFkMtKAzEUhoMoWKuvIFm6mTGXzs2VWrxBRUHduAlJ5qRNmSZjMi105zv4hj6JU6vrbs4F_v8_nA-hU0pSSmh-Pk9lCw7CdJ2yfk8JSynne2hAy4IlFaXlPhoQTvKE5bQ6REcxzgkhjDIyQO_Pwa-s01Y2eBoAHAbtnV9YjcEYqy04vcbe4PHMOnmBr7DzLonQyiBVA9i6dtl9f375ZdcP-OX6Ecu2DV7q2TE6MLKJcPLXh-jt9uZ1fJ9Mnu4exleTRPOi7BLgJdQ5cKIkVyPW16JUVV0xqbjURUYyCbUeqYwyTfOMldoYU-RaqVoznpV8iM62uf3ZjyXETixs1NA00oFfRkFLmlU9CsZ3S4uKVJxkfJOab6U6-BgDGNEGu5BhLSgRG-5iLv65iw13QZjouffGy60R-p9XFoKIvxShtgF0J2pvd0X8AIK9kUk</recordid><startdate>20160601</startdate><enddate>20160601</enddate><creator>Tao, Xueping</creator><creator>Wang, Ping</creator><creator>Zhu, Bangzhu</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope><scope>7TA</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JG9</scope></search><sort><creationdate>20160601</creationdate><title>Provincial green economic efficiency of China: A non-separable input–output SBM approach</title><author>Tao, Xueping ; Wang, Ping ; Zhu, Bangzhu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c378t-e38ed6e30ba3b42ba378b9d92ab3ac7505aedc4b512c16528cfff76cbbdc23583</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Carbon dioxide</topic><topic>Coal</topic><topic>Coastal areas</topic><topic>Economics</topic><topic>Emission</topic><topic>Energy conservation</topic><topic>Energy saving and emissions reduction potential</topic><topic>Green economic efficiency</topic><topic>Input and output inefficiency</topic><topic>Non-separable input/output SBM model</topic><topic>Rivers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tao, Xueping</creatorcontrib><creatorcontrib>Wang, Ping</creatorcontrib><creatorcontrib>Zhu, Bangzhu</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>Materials Business File</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><jtitle>Applied energy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tao, Xueping</au><au>Wang, Ping</au><au>Zhu, Bangzhu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Provincial green economic efficiency of China: A non-separable input–output SBM approach</atitle><jtitle>Applied energy</jtitle><date>2016-06-01</date><risdate>2016</risdate><volume>171</volume><spage>58</spage><epage>66</epage><pages>58-66</pages><issn>0306-2619</issn><eissn>1872-9118</eissn><abstract>•We use a non-separable input/output SBM model to measure China’s provincial green economic efficiencies.•We decompose green economic inefficiency from each input and output to find improving directions.•The whole green economic efficiency is low in China, and there are large differences among regions.•The sources for green economic inefficiencies in different regions are different.•Different measures should be made out for different regions.
Aiming at the undesirable output (CO2 emission) and non-separable inputs and outputs, we employ a non-separable input/output SBM model to measure China’s provincial green economic efficiency during 1995–2012. Empirical results indicate that (i) there are larger interregional differences in green economic efficiencies. The highest efficiency of 0.7339 is recorded at the southern coastal region, followed by those at the eastern coastal and northern coastal regions. The lowest efficiency only reaches 0.3049 at the northwestern region. (ii) Energy and CO2 emission are the key factors for green economic efficiencies. (iii) Different regions have different energy-saving and CO2 emission reduction potentials. The southern coastal region should at least save energy of 4.7million tons of standard coal. The middle Yellow River, northern coastal and northeast regions should save energy as much as 62, 60, 51million tons of standard coal. CO2 emission excess in the middle Yellow River region reaches 450million tons in 2012, while CO2 emission excess in the southern coastal region is only 12million tons. Finally, we propose some target policies to improve China’s regional green economic efficiencies.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.apenergy.2016.02.133</doi><tpages>9</tpages></addata></record> |
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subjects | Carbon dioxide Coal Coastal areas Economics Emission Energy conservation Energy saving and emissions reduction potential Green economic efficiency Input and output inefficiency Non-separable input/output SBM model Rivers |
title | Provincial green economic efficiency of China: A non-separable input–output SBM approach |
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