How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China
Green development is critical for China's economic transformation. Enhancing green total factor energy efficiency (hereafter GTFEE) is vital to emission reduction and to win-win industrial development. This study uses the panel data of 30 Chinese provinces for the period 2005–2016 to investigat...
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| Veröffentlicht in: | Energy economics 2020-09, Vol.91, p.104880, Article 104880 |
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| creator | Wu, Haitao Hao, Yu Ren, Siyu |
| description | Green development is critical for China's economic transformation. Enhancing green total factor energy efficiency (hereafter GTFEE) is vital to emission reduction and to win-win industrial development. This study uses the panel data of 30 Chinese provinces for the period 2005–2016 to investigate the relationship between environmental regulation and China's GTFEE. The spatial Durbin model is employed to control for the possible spatial spillover effect. A dynamic threshold panel model that can effectively address the endogeneity problem and regional heterogeneity is utilized to examine the potential non-linear relationship between environmental regulation and GTFEE under different conditions of environmental decentralization. The estimation results indicate that there is a significant U-shaped relationship between environmental regulation and China's GTFEE. With the further expansion of environmental decentralization, the local government's autonomous choice of pollution control is improved. The improvement of environmental decentralization can lead to negative moderating effect of environmental regulation on GTFEE. Additionally, the regression results of dynamic threshold model show that environmental decentralization can increase the negative influences of environmental regulation on GTFEE. Interestingly, the non-linear impact of environmental regulation on GTFEE is dependent on the specific type of environmental decentralization. Higher degree of environmental decentralization can lead to an increase in the restraining effect of environmental regulation on GTFEE. However, an improvement in the decentralization of environmental supervision and environmental monitoring can increase the negative influences of environmental regulation on GTFEE.
•The impact of environmental regulation on green total factor energy efficiency (GTFEE) is examined.•Environmental decentralization is introduced as moderating variables.•Spatial econometric methods and dynamic threshold models are used for empirical estimations.•There exists a significant U-shaped relationship between environmental regulation and China's GTFEE.•Environmental decentralization increases the restraining effect of environmental regulation on GTFEE. |
| doi_str_mv | 10.1016/j.eneco.2020.104880 |
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•The impact of environmental regulation on green total factor energy efficiency (GTFEE) is examined.•Environmental decentralization is introduced as moderating variables.•Spatial econometric methods and dynamic threshold models are used for empirical estimations.•There exists a significant U-shaped relationship between environmental regulation and China's GTFEE.•Environmental decentralization increases the restraining effect of environmental regulation on GTFEE.</description><identifier>ISSN: 0140-9883</identifier><identifier>EISSN: 1873-6181</identifier><identifier>DOI: 10.1016/j.eneco.2020.104880</identifier><language>eng</language><publisher>Kidlington: Elsevier B.V</publisher><subject>Clean energy ; Decentralization ; Dynamic threshold panel model ; Emission analysis ; Emissions control ; Energy development ; Energy economics ; Energy efficiency ; Environmental decentralization ; Environmental effects ; Environmental impact ; Environmental monitoring ; Environmental protection ; Environmental regulation ; Environmental regulations ; Green development ; Green Total factor energy efficiency ; Heterogeneity ; Industrial development ; Local government ; Panel data ; Pollution control ; Provinces ; Regulation ; Spatial Durbin model ; Spillover effect ; Supervision ; Sustainable development ; Transformation</subject><ispartof>Energy economics, 2020-09, Vol.91, p.104880, Article 104880</ispartof><rights>2020 Elsevier B.V.</rights><rights>Copyright Elsevier Science Ltd. Sep 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-f99c36650a7a467d89e82602c6d65db5b5848b426b7431db55d776c7709c34163</citedby><cites>FETCH-LOGICAL-c396t-f99c36650a7a467d89e82602c6d65db5b5848b426b7431db55d776c7709c34163</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.eneco.2020.104880$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27866,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Wu, Haitao</creatorcontrib><creatorcontrib>Hao, Yu</creatorcontrib><creatorcontrib>Ren, Siyu</creatorcontrib><title>How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China</title><title>Energy economics</title><description>Green development is critical for China's economic transformation. Enhancing green total factor energy efficiency (hereafter GTFEE) is vital to emission reduction and to win-win industrial development. This study uses the panel data of 30 Chinese provinces for the period 2005–2016 to investigate the relationship between environmental regulation and China's GTFEE. The spatial Durbin model is employed to control for the possible spatial spillover effect. A dynamic threshold panel model that can effectively address the endogeneity problem and regional heterogeneity is utilized to examine the potential non-linear relationship between environmental regulation and GTFEE under different conditions of environmental decentralization. The estimation results indicate that there is a significant U-shaped relationship between environmental regulation and China's GTFEE. With the further expansion of environmental decentralization, the local government's autonomous choice of pollution control is improved. The improvement of environmental decentralization can lead to negative moderating effect of environmental regulation on GTFEE. Additionally, the regression results of dynamic threshold model show that environmental decentralization can increase the negative influences of environmental regulation on GTFEE. Interestingly, the non-linear impact of environmental regulation on GTFEE is dependent on the specific type of environmental decentralization. Higher degree of environmental decentralization can lead to an increase in the restraining effect of environmental regulation on GTFEE. However, an improvement in the decentralization of environmental supervision and environmental monitoring can increase the negative influences of environmental regulation on GTFEE.
•The impact of environmental regulation on green total factor energy efficiency (GTFEE) is examined.•Environmental decentralization is introduced as moderating variables.•Spatial econometric methods and dynamic threshold models are used for empirical estimations.•There exists a significant U-shaped relationship between environmental regulation and China's GTFEE.•Environmental decentralization increases the restraining effect of environmental regulation on GTFEE.</description><subject>Clean energy</subject><subject>Decentralization</subject><subject>Dynamic threshold panel model</subject><subject>Emission analysis</subject><subject>Emissions control</subject><subject>Energy development</subject><subject>Energy economics</subject><subject>Energy efficiency</subject><subject>Environmental decentralization</subject><subject>Environmental effects</subject><subject>Environmental impact</subject><subject>Environmental monitoring</subject><subject>Environmental protection</subject><subject>Environmental regulation</subject><subject>Environmental regulations</subject><subject>Green development</subject><subject>Green Total factor energy efficiency</subject><subject>Heterogeneity</subject><subject>Industrial development</subject><subject>Local government</subject><subject>Panel data</subject><subject>Pollution control</subject><subject>Provinces</subject><subject>Regulation</subject><subject>Spatial Durbin model</subject><subject>Spillover effect</subject><subject>Supervision</subject><subject>Sustainable development</subject><subject>Transformation</subject><issn>0140-9883</issn><issn>1873-6181</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNp9kMFOAyEQhonRxFp9Ai8knrfCLgusiQfTVGvSxIueCQtDpWmhstuaevXFpbYnD55mMvzfkPkQuqZkRAnlt4sRBDBxVJJyP2FSkhM0oFJUBaeSnqIBoYwUjZTVObrougUhpOa1HKDvafzENmIIW59iWEHo9RInmG-WuvcxYB3sn0cLJjdJL_3XMeIcmB7PE0DAfdxnnDZ9TBmENN9hcM4bD8Hs7vBk623uALsUV3j87oO-RGdOLzu4OtYhenucvI6nxezl6Xn8MCtM1fC-cE1jKs5rooVmXFjZgCw5KQ23vLZt3daSyZaVvBWsonlQWyG4EYJkjlFeDdHNYe86xY8NdL1axE0K-UtVsqaSdcOIyKnqkDIpdl0Cp9bJr3TaKUrU3rZaqF_bam9bHWxn6v5AQT5g6yGp7vdisD5lOcpG_y__A_YKivk</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Wu, Haitao</creator><creator>Hao, Yu</creator><creator>Ren, Siyu</creator><general>Elsevier B.V</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TA</scope><scope>7TQ</scope><scope>8BJ</scope><scope>8FD</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>FQK</scope><scope>JBE</scope><scope>JG9</scope><scope>SOI</scope></search><sort><creationdate>20200901</creationdate><title>How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China</title><author>Wu, Haitao ; Hao, Yu ; Ren, Siyu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-f99c36650a7a467d89e82602c6d65db5b5848b426b7431db55d776c7709c34163</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Clean energy</topic><topic>Decentralization</topic><topic>Dynamic threshold panel model</topic><topic>Emission analysis</topic><topic>Emissions control</topic><topic>Energy development</topic><topic>Energy economics</topic><topic>Energy efficiency</topic><topic>Environmental decentralization</topic><topic>Environmental effects</topic><topic>Environmental impact</topic><topic>Environmental monitoring</topic><topic>Environmental protection</topic><topic>Environmental regulation</topic><topic>Environmental regulations</topic><topic>Green development</topic><topic>Green Total factor energy efficiency</topic><topic>Heterogeneity</topic><topic>Industrial development</topic><topic>Local government</topic><topic>Panel data</topic><topic>Pollution control</topic><topic>Provinces</topic><topic>Regulation</topic><topic>Spatial Durbin model</topic><topic>Spillover effect</topic><topic>Supervision</topic><topic>Sustainable development</topic><topic>Transformation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wu, Haitao</creatorcontrib><creatorcontrib>Hao, Yu</creatorcontrib><creatorcontrib>Ren, Siyu</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Materials Business File</collection><collection>PAIS Index</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>Materials Research Database</collection><collection>Environment Abstracts</collection><jtitle>Energy economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wu, Haitao</au><au>Hao, Yu</au><au>Ren, Siyu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China</atitle><jtitle>Energy economics</jtitle><date>2020-09-01</date><risdate>2020</risdate><volume>91</volume><spage>104880</spage><pages>104880-</pages><artnum>104880</artnum><issn>0140-9883</issn><eissn>1873-6181</eissn><abstract>Green development is critical for China's economic transformation. Enhancing green total factor energy efficiency (hereafter GTFEE) is vital to emission reduction and to win-win industrial development. This study uses the panel data of 30 Chinese provinces for the period 2005–2016 to investigate the relationship between environmental regulation and China's GTFEE. The spatial Durbin model is employed to control for the possible spatial spillover effect. A dynamic threshold panel model that can effectively address the endogeneity problem and regional heterogeneity is utilized to examine the potential non-linear relationship between environmental regulation and GTFEE under different conditions of environmental decentralization. The estimation results indicate that there is a significant U-shaped relationship between environmental regulation and China's GTFEE. With the further expansion of environmental decentralization, the local government's autonomous choice of pollution control is improved. The improvement of environmental decentralization can lead to negative moderating effect of environmental regulation on GTFEE. Additionally, the regression results of dynamic threshold model show that environmental decentralization can increase the negative influences of environmental regulation on GTFEE. Interestingly, the non-linear impact of environmental regulation on GTFEE is dependent on the specific type of environmental decentralization. Higher degree of environmental decentralization can lead to an increase in the restraining effect of environmental regulation on GTFEE. However, an improvement in the decentralization of environmental supervision and environmental monitoring can increase the negative influences of environmental regulation on GTFEE.
•The impact of environmental regulation on green total factor energy efficiency (GTFEE) is examined.•Environmental decentralization is introduced as moderating variables.•Spatial econometric methods and dynamic threshold models are used for empirical estimations.•There exists a significant U-shaped relationship between environmental regulation and China's GTFEE.•Environmental decentralization increases the restraining effect of environmental regulation on GTFEE.</abstract><cop>Kidlington</cop><pub>Elsevier B.V</pub><doi>10.1016/j.eneco.2020.104880</doi></addata></record> |
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| subjects | Clean energy Decentralization Dynamic threshold panel model Emission analysis Emissions control Energy development Energy economics Energy efficiency Environmental decentralization Environmental effects Environmental impact Environmental monitoring Environmental protection Environmental regulation Environmental regulations Green development Green Total factor energy efficiency Heterogeneity Industrial development Local government Panel data Pollution control Provinces Regulation Spatial Durbin model Spillover effect Supervision Sustainable development Transformation |
| title | How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China |
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