Club convergence and spatial distribution dynamics of carbon intensity in China’s construction industry
Climate change caused by carbon emissions continuously threatens sustainable development. Due to China’s immense territory, there are remarkable regional differences in carbon emissions. The construction industry, which has strong internal industrial differences, further leads to carbon emission dis...
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| Veröffentlicht in: | Natural hazards (Dordrecht) 2018-11, Vol.94 (2), p.519-536 |
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| creator | Du, Qiang Wu, Min Xu, Yadan Lu, Xinran Bai, Libiao Yu, Ming |
| description | Climate change caused by carbon emissions continuously threatens sustainable development. Due to China’s immense territory, there are remarkable regional differences in carbon emissions. The construction industry, which has strong internal industrial differences, further leads to carbon emission disparity in China. Policymakers should consider spatial effects and attempt to eliminate carbon emission inequality to promote the sustainable development of the construction industry and realize emission reduction targets. Based on the classic Markov chain and spatial Markov chain, this paper investigates the club convergence and spatial distribution dynamics of China’s carbon intensity in the construction industry from 2005 to 2014. The results show that the provincial carbon intensity in the construction industry is characterized by “convergence clubs” during the research period, and very low-level and very high-level convergence clubs have strong stability. Moreover, the carbon intensity class transitions of provinces tend to be consistent with that of their neighbors. Furthermore, the transition of carbon intensity types is highly influenced by their regional backgrounds. The provinces with high carbon emissions have a negative influence on their neighbors, whereas the provinces with low carbon emissions have a positive influence. These analyses provide a spatial interpretation to the “club convergence” of carbon intensity. |
| doi_str_mv | 10.1007/s11069-018-3400-2 |
| format | Article |
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Due to China’s immense territory, there are remarkable regional differences in carbon emissions. The construction industry, which has strong internal industrial differences, further leads to carbon emission disparity in China. Policymakers should consider spatial effects and attempt to eliminate carbon emission inequality to promote the sustainable development of the construction industry and realize emission reduction targets. Based on the classic Markov chain and spatial Markov chain, this paper investigates the club convergence and spatial distribution dynamics of China’s carbon intensity in the construction industry from 2005 to 2014. The results show that the provincial carbon intensity in the construction industry is characterized by “convergence clubs” during the research period, and very low-level and very high-level convergence clubs have strong stability. Moreover, the carbon intensity class transitions of provinces tend to be consistent with that of their neighbors. Furthermore, the transition of carbon intensity types is highly influenced by their regional backgrounds. The provinces with high carbon emissions have a negative influence on their neighbors, whereas the provinces with low carbon emissions have a positive influence. These analyses provide a spatial interpretation to the “club convergence” of carbon intensity.</description><identifier>ISSN: 0921-030X</identifier><identifier>EISSN: 1573-0840</identifier><identifier>DOI: 10.1007/s11069-018-3400-2</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Carbon ; Carbon emissions ; Civil Engineering ; Climate change ; Climate change causes ; Clubs ; Construction ; Construction industry ; Convergence ; Distribution ; Dynamics ; Earth and Environmental Science ; Earth Sciences ; Economic impact ; Emissions control ; Environmental Management ; Geophysics/Geodesy ; Geotechnical Engineering & Applied Earth Sciences ; Hydrogeology ; Markov analysis ; Markov chains ; Natural Hazards ; Original Paper ; Policy making ; Regional development ; Regional differences ; Spatial analysis ; Spatial distribution ; Stability ; Sustainable development ; Territory</subject><ispartof>Natural hazards (Dordrecht), 2018-11, Vol.94 (2), p.519-536</ispartof><rights>Springer Nature B.V. 2018</rights><rights>Natural Hazards is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-65e31666dd14ebdaa7b9db89d7c3d53c16e9bcaa79c9f372d0d41e9216f65b8b3</citedby><cites>FETCH-LOGICAL-c316t-65e31666dd14ebdaa7b9db89d7c3d53c16e9bcaa79c9f372d0d41e9216f65b8b3</cites><orcidid>0000-0003-4105-6476</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11069-018-3400-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11069-018-3400-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27868,27926,27927,41490,42559,51321</link.rule.ids></links><search><creatorcontrib>Du, Qiang</creatorcontrib><creatorcontrib>Wu, Min</creatorcontrib><creatorcontrib>Xu, Yadan</creatorcontrib><creatorcontrib>Lu, Xinran</creatorcontrib><creatorcontrib>Bai, Libiao</creatorcontrib><creatorcontrib>Yu, Ming</creatorcontrib><title>Club convergence and spatial distribution dynamics of carbon intensity in China’s construction industry</title><title>Natural hazards (Dordrecht)</title><addtitle>Nat Hazards</addtitle><description>Climate change caused by carbon emissions continuously threatens sustainable development. Due to China’s immense territory, there are remarkable regional differences in carbon emissions. The construction industry, which has strong internal industrial differences, further leads to carbon emission disparity in China. Policymakers should consider spatial effects and attempt to eliminate carbon emission inequality to promote the sustainable development of the construction industry and realize emission reduction targets. Based on the classic Markov chain and spatial Markov chain, this paper investigates the club convergence and spatial distribution dynamics of China’s carbon intensity in the construction industry from 2005 to 2014. The results show that the provincial carbon intensity in the construction industry is characterized by “convergence clubs” during the research period, and very low-level and very high-level convergence clubs have strong stability. Moreover, the carbon intensity class transitions of provinces tend to be consistent with that of their neighbors. Furthermore, the transition of carbon intensity types is highly influenced by their regional backgrounds. The provinces with high carbon emissions have a negative influence on their neighbors, whereas the provinces with low carbon emissions have a positive influence. These analyses provide a spatial interpretation to the “club convergence” of carbon intensity.</description><subject>Carbon</subject><subject>Carbon emissions</subject><subject>Civil Engineering</subject><subject>Climate change</subject><subject>Climate change causes</subject><subject>Clubs</subject><subject>Construction</subject><subject>Construction industry</subject><subject>Convergence</subject><subject>Distribution</subject><subject>Dynamics</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Economic impact</subject><subject>Emissions control</subject><subject>Environmental Management</subject><subject>Geophysics/Geodesy</subject><subject>Geotechnical Engineering & Applied Earth Sciences</subject><subject>Hydrogeology</subject><subject>Markov analysis</subject><subject>Markov chains</subject><subject>Natural Hazards</subject><subject>Original Paper</subject><subject>Policy making</subject><subject>Regional development</subject><subject>Regional differences</subject><subject>Spatial analysis</subject><subject>Spatial distribution</subject><subject>Stability</subject><subject>Sustainable 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convergence and spatial distribution dynamics of carbon intensity in China’s construction industry</title><author>Du, Qiang ; Wu, Min ; Xu, Yadan ; Lu, Xinran ; Bai, Libiao ; Yu, Ming</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-65e31666dd14ebdaa7b9db89d7c3d53c16e9bcaa79c9f372d0d41e9216f65b8b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Carbon</topic><topic>Carbon emissions</topic><topic>Civil Engineering</topic><topic>Climate change</topic><topic>Climate change causes</topic><topic>Clubs</topic><topic>Construction</topic><topic>Construction industry</topic><topic>Convergence</topic><topic>Distribution</topic><topic>Dynamics</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Economic impact</topic><topic>Emissions control</topic><topic>Environmental Management</topic><topic>Geophysics/Geodesy</topic><topic>Geotechnical Engineering & Applied Earth Sciences</topic><topic>Hydrogeology</topic><topic>Markov analysis</topic><topic>Markov chains</topic><topic>Natural Hazards</topic><topic>Original Paper</topic><topic>Policy making</topic><topic>Regional development</topic><topic>Regional differences</topic><topic>Spatial analysis</topic><topic>Spatial distribution</topic><topic>Stability</topic><topic>Sustainable development</topic><topic>Territory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Du, Qiang</creatorcontrib><creatorcontrib>Wu, Min</creatorcontrib><creatorcontrib>Xu, Yadan</creatorcontrib><creatorcontrib>Lu, Xinran</creatorcontrib><creatorcontrib>Bai, Libiao</creatorcontrib><creatorcontrib>Yu, Ming</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>PAIS 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Due to China’s immense territory, there are remarkable regional differences in carbon emissions. The construction industry, which has strong internal industrial differences, further leads to carbon emission disparity in China. Policymakers should consider spatial effects and attempt to eliminate carbon emission inequality to promote the sustainable development of the construction industry and realize emission reduction targets. Based on the classic Markov chain and spatial Markov chain, this paper investigates the club convergence and spatial distribution dynamics of China’s carbon intensity in the construction industry from 2005 to 2014. The results show that the provincial carbon intensity in the construction industry is characterized by “convergence clubs” during the research period, and very low-level and very high-level convergence clubs have strong stability. Moreover, the carbon intensity class transitions of provinces tend to be consistent with that of their neighbors. 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| subjects | Carbon Carbon emissions Civil Engineering Climate change Climate change causes Clubs Construction Construction industry Convergence Distribution Dynamics Earth and Environmental Science Earth Sciences Economic impact Emissions control Environmental Management Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Hydrogeology Markov analysis Markov chains Natural Hazards Original Paper Policy making Regional development Regional differences Spatial analysis Spatial distribution Stability Sustainable development Territory |
| title | Club convergence and spatial distribution dynamics of carbon intensity in China’s construction industry |
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