Analysis of industrial eco-efficiency and its influencing factors in China
Industry is the largest sector for energy consumption and pollution emissions in China. Thus, improving industrial eco-efficiency is necessary for China to achieve sustainable development. Based on panel data from 31 industrial sectors from 2001 to 2015, a three-stage data envelopment analysis model...
Gespeichert in:
Veröffentlicht in: | Clean technologies and environmental policy 2020-12, Vol.22 (10), p.2023-2038 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 2038 |
---|---|
container_issue | 10 |
container_start_page | 2023 |
container_title | Clean technologies and environmental policy |
container_volume | 22 |
creator | Zhou, Yong Liu, Zhiying Liu, Shidong Chen, Mingchun Zhang, Xiaolu Wang, Yong |
description | Industry is the largest sector for energy consumption and pollution emissions in China. Thus, improving industrial eco-efficiency is necessary for China to achieve sustainable development. Based on panel data from 31 industrial sectors from 2001 to 2015, a three-stage data envelopment analysis model was used to empirically explore industrial eco-efficiency and its influencing factors from the perspective of industrial heterogeneity. The results show that the overall level of industrial eco-efficiency in China is not high, first declining and then rising during the study period. Low eco-efficiency was mainly due to low scale efficiency. After removing the influences of external environmental factors and noise, industry profit rates, ownership structures, and foreign direct investments were all significantly and positively correlated with eco-efficiency. Environmental regulations were significantly and negatively correlated, while the intensity of research and development exhibited no linear relationship. Industrial heterogeneity significantly affects eco-efficiency. Capital-intensive industries had the highest eco-efficiencies, followed by resource-intensive industries and labor-intensive industries, respectively.
Graphic abstract
Comparison of technical efficiency (TE) before and after adjustment on a panel of 31 industries in China from 2001 to 2015. |
doi_str_mv | 10.1007/s10098-020-01943-7 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2473381894</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2473381894</sourcerecordid><originalsourceid>FETCH-LOGICAL-c377t-8fa3bcf17d873784e797c5af176b90d1a6be61d2664ede5db8064da971a361443</originalsourceid><addsrcrecordid>eNp9kEtLxDAUhYMoOI7-AVcF19G8mqTLYfDJgBsFdyHNY8xQ0zFpF_33Zqzozs29l8N3DtwDwCVG1xghcZPLbCREBEGEG0ahOAILzLGETV3L49-bvZ2Cs5x3CBEiCFqAp1XU3ZRDrnpfhWjHPKSgu8qZHjrvgwkumqnS0VZhyIXw3ViUELeV12bo00Gr1u8h6nNw4nWX3cXPXoLXu9uX9QPcPN8_rlcbaKgQA5Re09Z4LKwUVEjmRCNMrYvA2wZZrHnrOLaEc-asq20rEWdWNwJryjFjdAmu5tx96j9Hlwe168dU3siKMEGpxLI5UGSmTOpzTs6rfQofOk0KI3XoTM2dqdKZ-u5MiWKisykXOG5d-ov-x_UFO5lu5A</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2473381894</pqid></control><display><type>article</type><title>Analysis of industrial eco-efficiency and its influencing factors in China</title><source>PAIS Index</source><source>SpringerLink Journals</source><creator>Zhou, Yong ; Liu, Zhiying ; Liu, Shidong ; Chen, Mingchun ; Zhang, Xiaolu ; Wang, Yong</creator><creatorcontrib>Zhou, Yong ; Liu, Zhiying ; Liu, Shidong ; Chen, Mingchun ; Zhang, Xiaolu ; Wang, Yong</creatorcontrib><description>Industry is the largest sector for energy consumption and pollution emissions in China. Thus, improving industrial eco-efficiency is necessary for China to achieve sustainable development. Based on panel data from 31 industrial sectors from 2001 to 2015, a three-stage data envelopment analysis model was used to empirically explore industrial eco-efficiency and its influencing factors from the perspective of industrial heterogeneity. The results show that the overall level of industrial eco-efficiency in China is not high, first declining and then rising during the study period. Low eco-efficiency was mainly due to low scale efficiency. After removing the influences of external environmental factors and noise, industry profit rates, ownership structures, and foreign direct investments were all significantly and positively correlated with eco-efficiency. Environmental regulations were significantly and negatively correlated, while the intensity of research and development exhibited no linear relationship. Industrial heterogeneity significantly affects eco-efficiency. Capital-intensive industries had the highest eco-efficiencies, followed by resource-intensive industries and labor-intensive industries, respectively.
Graphic abstract
Comparison of technical efficiency (TE) before and after adjustment on a panel of 31 industries in China from 2001 to 2015.</description><identifier>ISSN: 1618-954X</identifier><identifier>EISSN: 1618-9558</identifier><identifier>DOI: 10.1007/s10098-020-01943-7</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Data envelopment analysis ; Earth and Environmental Science ; Efficiency ; Energy consumption ; Environment ; Environmental aspects ; Environmental Economics ; Environmental Engineering/Biotechnology ; Environmental factors ; Environmental policy ; Environmental regulations ; Foreign investment ; Heterogeneity ; Industrial and Production Engineering ; Industrial Chemistry/Chemical Engineering ; Industry ; Original Paper ; Ownership ; Panel data ; Pollution ; R&D ; Research & development ; Scale efficiency ; Sustainable Development</subject><ispartof>Clean technologies and environmental policy, 2020-12, Vol.22 (10), p.2023-2038</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c377t-8fa3bcf17d873784e797c5af176b90d1a6be61d2664ede5db8064da971a361443</citedby><cites>FETCH-LOGICAL-c377t-8fa3bcf17d873784e797c5af176b90d1a6be61d2664ede5db8064da971a361443</cites><orcidid>0000-0003-0322-9188</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/s10098-020-01943-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10098-020-01943-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27843,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Zhou, Yong</creatorcontrib><creatorcontrib>Liu, Zhiying</creatorcontrib><creatorcontrib>Liu, Shidong</creatorcontrib><creatorcontrib>Chen, Mingchun</creatorcontrib><creatorcontrib>Zhang, Xiaolu</creatorcontrib><creatorcontrib>Wang, Yong</creatorcontrib><title>Analysis of industrial eco-efficiency and its influencing factors in China</title><title>Clean technologies and environmental policy</title><addtitle>Clean Techn Environ Policy</addtitle><description>Industry is the largest sector for energy consumption and pollution emissions in China. Thus, improving industrial eco-efficiency is necessary for China to achieve sustainable development. Based on panel data from 31 industrial sectors from 2001 to 2015, a three-stage data envelopment analysis model was used to empirically explore industrial eco-efficiency and its influencing factors from the perspective of industrial heterogeneity. The results show that the overall level of industrial eco-efficiency in China is not high, first declining and then rising during the study period. Low eco-efficiency was mainly due to low scale efficiency. After removing the influences of external environmental factors and noise, industry profit rates, ownership structures, and foreign direct investments were all significantly and positively correlated with eco-efficiency. Environmental regulations were significantly and negatively correlated, while the intensity of research and development exhibited no linear relationship. Industrial heterogeneity significantly affects eco-efficiency. Capital-intensive industries had the highest eco-efficiencies, followed by resource-intensive industries and labor-intensive industries, respectively.
Graphic abstract
Comparison of technical efficiency (TE) before and after adjustment on a panel of 31 industries in China from 2001 to 2015.</description><subject>Data envelopment analysis</subject><subject>Earth and Environmental Science</subject><subject>Efficiency</subject><subject>Energy consumption</subject><subject>Environment</subject><subject>Environmental aspects</subject><subject>Environmental Economics</subject><subject>Environmental Engineering/Biotechnology</subject><subject>Environmental factors</subject><subject>Environmental policy</subject><subject>Environmental regulations</subject><subject>Foreign investment</subject><subject>Heterogeneity</subject><subject>Industrial and Production Engineering</subject><subject>Industrial Chemistry/Chemical Engineering</subject><subject>Industry</subject><subject>Original Paper</subject><subject>Ownership</subject><subject>Panel data</subject><subject>Pollution</subject><subject>R&D</subject><subject>Research & development</subject><subject>Scale efficiency</subject><subject>Sustainable Development</subject><issn>1618-954X</issn><issn>1618-9558</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kEtLxDAUhYMoOI7-AVcF19G8mqTLYfDJgBsFdyHNY8xQ0zFpF_33Zqzozs29l8N3DtwDwCVG1xghcZPLbCREBEGEG0ahOAILzLGETV3L49-bvZ2Cs5x3CBEiCFqAp1XU3ZRDrnpfhWjHPKSgu8qZHjrvgwkumqnS0VZhyIXw3ViUELeV12bo00Gr1u8h6nNw4nWX3cXPXoLXu9uX9QPcPN8_rlcbaKgQA5Re09Z4LKwUVEjmRCNMrYvA2wZZrHnrOLaEc-asq20rEWdWNwJryjFjdAmu5tx96j9Hlwe168dU3siKMEGpxLI5UGSmTOpzTs6rfQofOk0KI3XoTM2dqdKZ-u5MiWKisykXOG5d-ov-x_UFO5lu5A</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Zhou, Yong</creator><creator>Liu, Zhiying</creator><creator>Liu, Shidong</creator><creator>Chen, Mingchun</creator><creator>Zhang, Xiaolu</creator><creator>Wang, Yong</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7ST</scope><scope>7TA</scope><scope>7TQ</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X2</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DHY</scope><scope>DON</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>K60</scope><scope>K6~</scope><scope>KR7</scope><scope>L.-</scope><scope>L6V</scope><scope>M0C</scope><scope>M0K</scope><scope>M2O</scope><scope>M2P</scope><scope>M2R</scope><scope>M7S</scope><scope>MBDVC</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0003-0322-9188</orcidid></search><sort><creationdate>20201201</creationdate><title>Analysis of industrial eco-efficiency and its influencing factors in China</title><author>Zhou, Yong ; Liu, Zhiying ; Liu, Shidong ; Chen, Mingchun ; Zhang, Xiaolu ; Wang, Yong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c377t-8fa3bcf17d873784e797c5af176b90d1a6be61d2664ede5db8064da971a361443</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Data envelopment analysis</topic><topic>Earth and Environmental Science</topic><topic>Efficiency</topic><topic>Energy consumption</topic><topic>Environment</topic><topic>Environmental aspects</topic><topic>Environmental Economics</topic><topic>Environmental Engineering/Biotechnology</topic><topic>Environmental factors</topic><topic>Environmental policy</topic><topic>Environmental regulations</topic><topic>Foreign investment</topic><topic>Heterogeneity</topic><topic>Industrial and Production Engineering</topic><topic>Industrial Chemistry/Chemical Engineering</topic><topic>Industry</topic><topic>Original Paper</topic><topic>Ownership</topic><topic>Panel data</topic><topic>Pollution</topic><topic>R&D</topic><topic>Research & development</topic><topic>Scale efficiency</topic><topic>Sustainable Development</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhou, Yong</creatorcontrib><creatorcontrib>Liu, Zhiying</creatorcontrib><creatorcontrib>Liu, Shidong</creatorcontrib><creatorcontrib>Chen, Mingchun</creatorcontrib><creatorcontrib>Zhang, Xiaolu</creatorcontrib><creatorcontrib>Wang, Yong</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Materials Business File</collection><collection>PAIS Index</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global</collection><collection>Agricultural Science Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Social Science Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Environmental Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Clean technologies and environmental policy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhou, Yong</au><au>Liu, Zhiying</au><au>Liu, Shidong</au><au>Chen, Mingchun</au><au>Zhang, Xiaolu</au><au>Wang, Yong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of industrial eco-efficiency and its influencing factors in China</atitle><jtitle>Clean technologies and environmental policy</jtitle><stitle>Clean Techn Environ Policy</stitle><date>2020-12-01</date><risdate>2020</risdate><volume>22</volume><issue>10</issue><spage>2023</spage><epage>2038</epage><pages>2023-2038</pages><issn>1618-954X</issn><eissn>1618-9558</eissn><abstract>Industry is the largest sector for energy consumption and pollution emissions in China. Thus, improving industrial eco-efficiency is necessary for China to achieve sustainable development. Based on panel data from 31 industrial sectors from 2001 to 2015, a three-stage data envelopment analysis model was used to empirically explore industrial eco-efficiency and its influencing factors from the perspective of industrial heterogeneity. The results show that the overall level of industrial eco-efficiency in China is not high, first declining and then rising during the study period. Low eco-efficiency was mainly due to low scale efficiency. After removing the influences of external environmental factors and noise, industry profit rates, ownership structures, and foreign direct investments were all significantly and positively correlated with eco-efficiency. Environmental regulations were significantly and negatively correlated, while the intensity of research and development exhibited no linear relationship. Industrial heterogeneity significantly affects eco-efficiency. Capital-intensive industries had the highest eco-efficiencies, followed by resource-intensive industries and labor-intensive industries, respectively.
Graphic abstract
Comparison of technical efficiency (TE) before and after adjustment on a panel of 31 industries in China from 2001 to 2015.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s10098-020-01943-7</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0003-0322-9188</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1618-954X |
ispartof | Clean technologies and environmental policy, 2020-12, Vol.22 (10), p.2023-2038 |
issn | 1618-954X 1618-9558 |
language | eng |
recordid | cdi_proquest_journals_2473381894 |
source | PAIS Index; SpringerLink Journals |
subjects | Data envelopment analysis Earth and Environmental Science Efficiency Energy consumption Environment Environmental aspects Environmental Economics Environmental Engineering/Biotechnology Environmental factors Environmental policy Environmental regulations Foreign investment Heterogeneity Industrial and Production Engineering Industrial Chemistry/Chemical Engineering Industry Original Paper Ownership Panel data Pollution R&D Research & development Scale efficiency Sustainable Development |
title | Analysis of industrial eco-efficiency and its influencing factors in China |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T05%3A30%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Analysis%20of%20industrial%20eco-efficiency%20and%20its%20influencing%20factors%20in%20China&rft.jtitle=Clean%20technologies%20and%20environmental%20policy&rft.au=Zhou,%20Yong&rft.date=2020-12-01&rft.volume=22&rft.issue=10&rft.spage=2023&rft.epage=2038&rft.pages=2023-2038&rft.issn=1618-954X&rft.eissn=1618-9558&rft_id=info:doi/10.1007/s10098-020-01943-7&rft_dat=%3Cproquest_cross%3E2473381894%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2473381894&rft_id=info:pmid/&rfr_iscdi=true |