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Uncovering the driving forces of carbon dioxide emissions in Chinese manufacturing industry: An intersectoral analysis
As the pillar of national economy, manufacturing industry is the largest primary energy consumer and emitter of carbon dioxide (CO 2 ) in China. Therefore, capturing the determinants of CO 2 emissions in manufacturing industry is extremely important for national efforts to mitigate carbon emissions....
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| Published in: | Environmental science and pollution research international 2019-10, Vol.26 (30), p.31434-31448 |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c375t-1f2aaa525b0f0f9df18d775186597a37d8f1ad671cb60412ae7204f988b70ba3 |
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| cites | cdi_FETCH-LOGICAL-c375t-1f2aaa525b0f0f9df18d775186597a37d8f1ad671cb60412ae7204f988b70ba3 |
| container_end_page | 31448 |
| container_issue | 30 |
| container_start_page | 31434 |
| container_title | Environmental science and pollution research international |
| container_volume | 26 |
| creator | Shi, Yingying Han, Botang Zafar, Muhammad Wasif Wei, Zixiang |
| description | As the pillar of national economy, manufacturing industry is the largest primary energy consumer and emitter of carbon dioxide (CO
2
) in China. Therefore, capturing the determinants of CO
2
emissions in manufacturing industry is extremely important for national efforts to mitigate carbon emissions. This paper explores the major driving forces behind CO
2
emission changes in China’s manufacturing industry during 2000–2015 from perspectives of the whole sector and 28 subsectors, by applying the temporal logarithmic mean Divisia index (LMDI) method. Moreover, an intersectoral LMDI model is built to uncover the intersectoral discrepancies of CO
2
emissions among 28 subsectors. The temporal analysis indicates that industrial activity and energy intensity are crucial factors respectively contributing to the increase and mitigation of CO
2
emissions. The intersectoral analysis reveals that energy intensity is the dominant factor responsible for the intersectoral discrepancies of CO
2
emissions among 28 subsectors. The great mitigation towards CO
2
emissions can be achieved if energy efficiency is largely improved in carbon-intensive subsectors. Priority should be given by governments to the industrial technology advancement, such as subsidies for energy-saving technological transformation and promotion of international advanced techniques and equipment, which can greatly improve production efficiency and mitigate emissions in manufacturing industry. |
| doi_str_mv | 10.1007/s11356-019-06303-7 |
| format | article |
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2
) in China. Therefore, capturing the determinants of CO
2
emissions in manufacturing industry is extremely important for national efforts to mitigate carbon emissions. This paper explores the major driving forces behind CO
2
emission changes in China’s manufacturing industry during 2000–2015 from perspectives of the whole sector and 28 subsectors, by applying the temporal logarithmic mean Divisia index (LMDI) method. Moreover, an intersectoral LMDI model is built to uncover the intersectoral discrepancies of CO
2
emissions among 28 subsectors. The temporal analysis indicates that industrial activity and energy intensity are crucial factors respectively contributing to the increase and mitigation of CO
2
emissions. The intersectoral analysis reveals that energy intensity is the dominant factor responsible for the intersectoral discrepancies of CO
2
emissions among 28 subsectors. The great mitigation towards CO
2
emissions can be achieved if energy efficiency is largely improved in carbon-intensive subsectors. Priority should be given by governments to the industrial technology advancement, such as subsidies for energy-saving technological transformation and promotion of international advanced techniques and equipment, which can greatly improve production efficiency and mitigate emissions in manufacturing industry.</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-019-06303-7</identifier><identifier>PMID: 31478176</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Carbon dioxide ; Carbon Dioxide - analysis ; Carbon dioxide emissions ; China ; Commerce ; Earth and Environmental Science ; Ecotoxicology ; Emissions ; Emitters ; Energy conservation ; Energy consumption ; Energy efficiency ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental science ; Industrial applications ; Industry ; Manufacturing ; Manufacturing industry ; Manufacturing Industry - statistics & numerical data ; Research Article ; Subsidies ; Technology ; Waste Water Technology ; Water Management ; Water Pollution Control</subject><ispartof>Environmental science and pollution research international, 2019-10, Vol.26 (30), p.31434-31448</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019</rights><rights>Environmental Science and Pollution Research is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-1f2aaa525b0f0f9df18d775186597a37d8f1ad671cb60412ae7204f988b70ba3</citedby><cites>FETCH-LOGICAL-c375t-1f2aaa525b0f0f9df18d775186597a37d8f1ad671cb60412ae7204f988b70ba3</cites><orcidid>0000-0002-4507-5562</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2283229371/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2283229371?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>315,786,790,11715,27957,27958,36095,36096,44398,75252</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31478176$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shi, Yingying</creatorcontrib><creatorcontrib>Han, Botang</creatorcontrib><creatorcontrib>Zafar, Muhammad Wasif</creatorcontrib><creatorcontrib>Wei, Zixiang</creatorcontrib><title>Uncovering the driving forces of carbon dioxide emissions in Chinese manufacturing industry: An intersectoral analysis</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>As the pillar of national economy, manufacturing industry is the largest primary energy consumer and emitter of carbon dioxide (CO
2
) in China. Therefore, capturing the determinants of CO
2
emissions in manufacturing industry is extremely important for national efforts to mitigate carbon emissions. This paper explores the major driving forces behind CO
2
emission changes in China’s manufacturing industry during 2000–2015 from perspectives of the whole sector and 28 subsectors, by applying the temporal logarithmic mean Divisia index (LMDI) method. Moreover, an intersectoral LMDI model is built to uncover the intersectoral discrepancies of CO
2
emissions among 28 subsectors. The temporal analysis indicates that industrial activity and energy intensity are crucial factors respectively contributing to the increase and mitigation of CO
2
emissions. The intersectoral analysis reveals that energy intensity is the dominant factor responsible for the intersectoral discrepancies of CO
2
emissions among 28 subsectors. The great mitigation towards CO
2
emissions can be achieved if energy efficiency is largely improved in carbon-intensive subsectors. Priority should be given by governments to the industrial technology advancement, such as subsidies for energy-saving technological transformation and promotion of international advanced techniques and equipment, which can greatly improve production efficiency and mitigate emissions in manufacturing industry.</description><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Carbon dioxide</subject><subject>Carbon Dioxide - analysis</subject><subject>Carbon dioxide emissions</subject><subject>China</subject><subject>Commerce</subject><subject>Earth and Environmental Science</subject><subject>Ecotoxicology</subject><subject>Emissions</subject><subject>Emitters</subject><subject>Energy conservation</subject><subject>Energy consumption</subject><subject>Energy efficiency</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental science</subject><subject>Industrial applications</subject><subject>Industry</subject><subject>Manufacturing</subject><subject>Manufacturing industry</subject><subject>Manufacturing Industry - statistics & numerical data</subject><subject>Research Article</subject><subject>Subsidies</subject><subject>Technology</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><issn>0944-1344</issn><issn>1614-7499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNp9kU1v1DAQhi0EokvLH-CALHHhEvDYThxzq1Z8SZV6ac-W4w_qKmsvnmTF_nuyTQGJQ08eS888M5qXkDfAPgBj6iMCiLZrGOiGdYKJRj0jG-hANkpq_ZxsmJayASHlGXmFeM8YZ5qrl-RMgFQ9qG5DDrfZlUOoKf-g012gvqbDqY6luoC0ROpsHUqmPpVfyQcadgkxlYw0Zbq9SzlgoDub52jdND94UvYzTvX4iV7m5TOFisFNpdqR2mzHIya8IC-iHTG8fnzPyc2Xzzfbb83V9dfv28urxgnVTg1Ebq1teTuwyKL2EXqvVAt912plhfJ9BOs7BW7omARug-JMRt33g2KDFefk_ard1_JzDjiZZXsXxtHmUGY0nPdC92o5yoK--w-9L3Nd1l0pzrVQsFB8pVwtiDVEs69pZ-vRADOnUMwaillCMQ-hmJP67aN6HnbB_235k8ICiBXA_emAof6b_YT2N2_fmQI</recordid><startdate>20191001</startdate><enddate>20191001</enddate><creator>Shi, Yingying</creator><creator>Han, Botang</creator><creator>Zafar, Muhammad Wasif</creator><creator>Wei, Zixiang</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7SN</scope><scope>7T7</scope><scope>7TV</scope><scope>7U7</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>P64</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4507-5562</orcidid></search><sort><creationdate>20191001</creationdate><title>Uncovering the driving forces of carbon dioxide emissions in Chinese manufacturing industry: An intersectoral analysis</title><author>Shi, Yingying ; Han, Botang ; Zafar, Muhammad Wasif ; Wei, Zixiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-1f2aaa525b0f0f9df18d775186597a37d8f1ad671cb60412ae7204f988b70ba3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aquatic Pollution</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Carbon dioxide</topic><topic>Carbon Dioxide - 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Academic</collection><jtitle>Environmental science and pollution research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shi, Yingying</au><au>Han, Botang</au><au>Zafar, Muhammad Wasif</au><au>Wei, Zixiang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Uncovering the driving forces of carbon dioxide emissions in Chinese manufacturing industry: An intersectoral analysis</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2019-10-01</date><risdate>2019</risdate><volume>26</volume><issue>30</issue><spage>31434</spage><epage>31448</epage><pages>31434-31448</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><notes>ObjectType-Article-1</notes><notes>SourceType-Scholarly Journals-1</notes><notes>ObjectType-Feature-2</notes><notes>content type line 23</notes><abstract>As the pillar of national economy, manufacturing industry is the largest primary energy consumer and emitter of carbon dioxide (CO
2
) in China. Therefore, capturing the determinants of CO
2
emissions in manufacturing industry is extremely important for national efforts to mitigate carbon emissions. This paper explores the major driving forces behind CO
2
emission changes in China’s manufacturing industry during 2000–2015 from perspectives of the whole sector and 28 subsectors, by applying the temporal logarithmic mean Divisia index (LMDI) method. Moreover, an intersectoral LMDI model is built to uncover the intersectoral discrepancies of CO
2
emissions among 28 subsectors. The temporal analysis indicates that industrial activity and energy intensity are crucial factors respectively contributing to the increase and mitigation of CO
2
emissions. The intersectoral analysis reveals that energy intensity is the dominant factor responsible for the intersectoral discrepancies of CO
2
emissions among 28 subsectors. The great mitigation towards CO
2
emissions can be achieved if energy efficiency is largely improved in carbon-intensive subsectors. Priority should be given by governments to the industrial technology advancement, such as subsidies for energy-saving technological transformation and promotion of international advanced techniques and equipment, which can greatly improve production efficiency and mitigate emissions in manufacturing industry.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>31478176</pmid><doi>10.1007/s11356-019-06303-7</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-4507-5562</orcidid></addata></record> |
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| ispartof | Environmental science and pollution research international, 2019-10, Vol.26 (30), p.31434-31448 |
| issn | 0944-1344 1614-7499 |
| language | eng |
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| source | ABI/INFORM Collection; Springer Link |
| subjects | Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Carbon dioxide Carbon Dioxide - analysis Carbon dioxide emissions China Commerce Earth and Environmental Science Ecotoxicology Emissions Emitters Energy conservation Energy consumption Energy efficiency Environment Environmental Chemistry Environmental Health Environmental science Industrial applications Industry Manufacturing Manufacturing industry Manufacturing Industry - statistics & numerical data Research Article Subsidies Technology Waste Water Technology Water Management Water Pollution Control |
| title | Uncovering the driving forces of carbon dioxide emissions in Chinese manufacturing industry: An intersectoral analysis |
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