Industrial co-agglomeration, green technological innovation, and total factor energy efficiency
The double-wheel driven of manufacturing and producer services industrial co-agglomeration is of great significance for transforming the economic growth mode driven by a single industry, integrating and extending regional resources, and improving energy efficiency. Based on panel data from 2004 to 2...
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| Veröffentlicht in: | Environmental science and pollution research international 2022-09, Vol.29 (41), p.62475-62494 |
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| creator | Yang, Haochang Xu, Xiezu Zhang, Faming |
| description | The double-wheel driven of manufacturing and producer services industrial co-agglomeration is of great significance for transforming the economic growth mode driven by a single industry, integrating and extending regional resources, and improving energy efficiency. Based on panel data from 2004 to 2019, this paper uses the spatial Dubin model to analyze the impact of industrial co-agglomeration on total factor energy efficiency (TFEE) and its regional heterogeneity. Moreover, the mediating model is employed to examine the mediating effect of green technological innovation in the industrial co-agglomeration affects TFEE. Last but not least, the threshold panel regression model is conducted to verify the nonlinear relationship between industrial co-agglomeration and TFEE. The results show that there is a U-shaped curve relationship between industrial co-agglomeration and TFEE. Moreover, there are obvious regional heterogeneities in the impact of industrial co-agglomeration on TFEE and its spatial spillover effect. Meanwhile, industrial co-agglomeration has a significant indirect impact on TFEE through green technological innovation. In addition, there is a single threshold effect on the impact of industrial co-agglomeration on TFEE, only when the industrial co-agglomeration degree crosses the threshold value of 0.6329, can it positively promote the improvement of TFEE. |
| doi_str_mv | 10.1007/s11356-022-20078-4 |
| format | Article |
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Based on panel data from 2004 to 2019, this paper uses the spatial Dubin model to analyze the impact of industrial co-agglomeration on total factor energy efficiency (TFEE) and its regional heterogeneity. Moreover, the mediating model is employed to examine the mediating effect of green technological innovation in the industrial co-agglomeration affects TFEE. Last but not least, the threshold panel regression model is conducted to verify the nonlinear relationship between industrial co-agglomeration and TFEE. The results show that there is a U-shaped curve relationship between industrial co-agglomeration and TFEE. Moreover, there are obvious regional heterogeneities in the impact of industrial co-agglomeration on TFEE and its spatial spillover effect. Meanwhile, industrial co-agglomeration has a significant indirect impact on TFEE through green technological innovation. In addition, there is a single threshold effect on the impact of industrial co-agglomeration on TFEE, only when the industrial co-agglomeration degree crosses the threshold value of 0.6329, can it positively promote the improvement of TFEE.</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-022-20078-4</identifier><identifier>PMID: 35404036</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Agglomeration ; Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; China ; Conservation of Energy Resources ; Earth and Environmental Science ; Economic Development ; Economic growth ; Ecotoxicology ; Efficiency ; Energy efficiency ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental science ; Heterogeneity ; Impact analysis ; Industry ; Innovations ; Inventions ; Regression models ; Research Article ; Technological change ; Waste Water Technology ; Water Management ; Water Pollution Control</subject><ispartof>Environmental science and pollution research international, 2022-09, Vol.29 (41), p.62475-62494</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022</rights><rights>2022. 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Based on panel data from 2004 to 2019, this paper uses the spatial Dubin model to analyze the impact of industrial co-agglomeration on total factor energy efficiency (TFEE) and its regional heterogeneity. Moreover, the mediating model is employed to examine the mediating effect of green technological innovation in the industrial co-agglomeration affects TFEE. Last but not least, the threshold panel regression model is conducted to verify the nonlinear relationship between industrial co-agglomeration and TFEE. The results show that there is a U-shaped curve relationship between industrial co-agglomeration and TFEE. Moreover, there are obvious regional heterogeneities in the impact of industrial co-agglomeration on TFEE and its spatial spillover effect. Meanwhile, industrial co-agglomeration has a significant indirect impact on TFEE through green technological innovation. In addition, there is a single threshold effect on the impact of industrial co-agglomeration on TFEE, only when the industrial co-agglomeration degree crosses the threshold value of 0.6329, can it positively promote the improvement of TFEE.</description><subject>Agglomeration</subject><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>China</subject><subject>Conservation of Energy Resources</subject><subject>Earth and Environmental Science</subject><subject>Economic Development</subject><subject>Economic growth</subject><subject>Ecotoxicology</subject><subject>Efficiency</subject><subject>Energy efficiency</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental science</subject><subject>Heterogeneity</subject><subject>Impact 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Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Environmental science and pollution research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Haochang</au><au>Xu, Xiezu</au><au>Zhang, Faming</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Industrial co-agglomeration, green technological innovation, and total factor energy efficiency</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2022-09-01</date><risdate>2022</risdate><volume>29</volume><issue>41</issue><spage>62475</spage><epage>62494</epage><pages>62475-62494</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>The double-wheel driven of manufacturing and producer services industrial co-agglomeration is of great significance for transforming the economic growth mode driven by a single industry, integrating and extending regional resources, and improving energy efficiency. Based on panel data from 2004 to 2019, this paper uses the spatial Dubin model to analyze the impact of industrial co-agglomeration on total factor energy efficiency (TFEE) and its regional heterogeneity. Moreover, the mediating model is employed to examine the mediating effect of green technological innovation in the industrial co-agglomeration affects TFEE. Last but not least, the threshold panel regression model is conducted to verify the nonlinear relationship between industrial co-agglomeration and TFEE. The results show that there is a U-shaped curve relationship between industrial co-agglomeration and TFEE. Moreover, there are obvious regional heterogeneities in the impact of industrial co-agglomeration on TFEE and its spatial spillover effect. Meanwhile, industrial co-agglomeration has a significant indirect impact on TFEE through green technological innovation. In addition, there is a single threshold effect on the impact of industrial co-agglomeration on TFEE, only when the industrial co-agglomeration degree crosses the threshold value of 0.6329, can it positively promote the improvement of TFEE.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>35404036</pmid><doi>10.1007/s11356-022-20078-4</doi><tpages>20</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Agglomeration Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution China Conservation of Energy Resources Earth and Environmental Science Economic Development Economic growth Ecotoxicology Efficiency Energy efficiency Environment Environmental Chemistry Environmental Health Environmental science Heterogeneity Impact analysis Industry Innovations Inventions Regression models Research Article Technological change Waste Water Technology Water Management Water Pollution Control |
| title | Industrial co-agglomeration, green technological innovation, and total factor energy efficiency |
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