Does China's carbon regulatory policy improve total factor carbon efficiency? A fixed-effect panel stochastic frontier analysis

lThe fixed-effect stochastic frontier approach is applied to estimate the total factor carbon efficiency.lChina's carbon regulatory policy during the 12th FYP has improved carbon efficiency.lCarbon regulations have enhanced the role of energy prices in improving carbon efficiency.lIt is necessa...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Technological forecasting & social change 2020-11, Vol.160, p.120222, Article 120222
Hauptverfasser: Tan, Xiujie, Choi, Yongrok, Wang, Banban, Huang, Xiaoqi
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page 120222
container_title Technological forecasting & social change
container_volume 160
creator Tan, Xiujie
Choi, Yongrok
Wang, Banban
Huang, Xiaoqi
description lThe fixed-effect stochastic frontier approach is applied to estimate the total factor carbon efficiency.lChina's carbon regulatory policy during the 12th FYP has improved carbon efficiency.lCarbon regulations have enhanced the role of energy prices in improving carbon efficiency.lIt is necessary to introduce market-oriented tools aside from the existing command-and-control policies. In China, climate policy has been strengthened by the mandated carbon intensity reduction target, which is a simple measurement of carbon efficiency under the single-factor framework. Is this carbon regulation during the 12th Five-Year Plan (FYP) actually effective for total factor carbon efficiency (TFCE) in China? To answer this research question, we estimate the TFCE and its policy and economic drivers using the fixed-effect stochastic frontier approach. The main results are as follows. First, the TFCE shows time and sector heterogeneity ranging from 0.235 to 0.996. Moreover, the changing pattern implies a positive relationship between TFCE and the 12th FYP. Second, the implementation of carbon regulations during the 12th FYP not only helped meet the carbon intensity reduction target, but also assisted in effectively improving TFCE. Third, carbon regulations have positively enhanced the role of energy prices in TFCE promotion and alleviated the negative role of exports. The results have significant policy implications for the carbon regulations in China's forthcoming 14th FYP. It is necessary to introduce market-oriented tools aside from the existing command-and-control policies.
doi_str_mv 10.1016/j.techfore.2020.120222
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2478821212</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0040162520310489</els_id><sourcerecordid>2478821212</sourcerecordid><originalsourceid>FETCH-LOGICAL-c420t-35d26e8551973d0a7a74ed57a19b9bcc1ceefaa1642d5f68b90ccff4bb954343</originalsourceid><addsrcrecordid>eNqFkE1LAzEQhoMoWKt_QQIePG1Nspv9OGmpn1Dw0nvIZic2ZbtZk7S4J_-6qWvPMjADM-8M8z4IXVMyo4Tmd5tZALXW1sGMERabMTN2gia0LNKEc1KdogkhGUlozvg5uvB-Qwgp0jKfoO9HCx4v1qaTtx4r6WrbYQcfu1YG6wbc29aoAZtt7-wecLBBtlhLFYdHNWhtlIFODfd4jrX5giaJPVAB97KDFvtg1Vr6YBTWznbBgMOyk-3gjb9EZ1q2Hq7-6hStnp9Wi9dk-f7ytpgvE5UxEpKUNyyHknNaFWlDZCGLDBpeSFrVVa0UVQBaSppnrOE6L-uKKKV1VtcVz9IsnaKb8Wy08bkDH8TG7lz8wQuWFWXJaIyoykeVctZ7B1r0zmylGwQl4sBabMSRtTiwFiPruPgwLkK0sI_-hP8lAo1xkYNorPnvxA-SUo3c</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2478821212</pqid></control><display><type>article</type><title>Does China's carbon regulatory policy improve total factor carbon efficiency? A fixed-effect panel stochastic frontier analysis</title><source>PAIS Index</source><source>Sociological Abstracts</source><source>ScienceDirect Journals (5 years ago - present)</source><creator>Tan, Xiujie ; Choi, Yongrok ; Wang, Banban ; Huang, Xiaoqi</creator><creatorcontrib>Tan, Xiujie ; Choi, Yongrok ; Wang, Banban ; Huang, Xiaoqi</creatorcontrib><description>lThe fixed-effect stochastic frontier approach is applied to estimate the total factor carbon efficiency.lChina's carbon regulatory policy during the 12th FYP has improved carbon efficiency.lCarbon regulations have enhanced the role of energy prices in improving carbon efficiency.lIt is necessary to introduce market-oriented tools aside from the existing command-and-control policies. In China, climate policy has been strengthened by the mandated carbon intensity reduction target, which is a simple measurement of carbon efficiency under the single-factor framework. Is this carbon regulation during the 12th Five-Year Plan (FYP) actually effective for total factor carbon efficiency (TFCE) in China? To answer this research question, we estimate the TFCE and its policy and economic drivers using the fixed-effect stochastic frontier approach. The main results are as follows. First, the TFCE shows time and sector heterogeneity ranging from 0.235 to 0.996. Moreover, the changing pattern implies a positive relationship between TFCE and the 12th FYP. Second, the implementation of carbon regulations during the 12th FYP not only helped meet the carbon intensity reduction target, but also assisted in effectively improving TFCE. Third, carbon regulations have positively enhanced the role of energy prices in TFCE promotion and alleviated the negative role of exports. The results have significant policy implications for the carbon regulations in China's forthcoming 14th FYP. It is necessary to introduce market-oriented tools aside from the existing command-and-control policies.</description><identifier>ISSN: 0040-1625</identifier><identifier>EISSN: 1873-5509</identifier><identifier>DOI: 10.1016/j.techfore.2020.120222</identifier><language>eng</language><publisher>New York: Elsevier Inc</publisher><subject>Carbon ; Carbon efficiency ; Climate policy ; Command and control ; Efficiency ; Environmental policy ; Fixed-effect panel stochastic frontier analysis ; Heterogeneity ; Industrial sub-sectors ; Reduction ; Regulation ; Regulations ; Total factor carbon efficiency</subject><ispartof>Technological forecasting &amp; social change, 2020-11, Vol.160, p.120222, Article 120222</ispartof><rights>2020 The Authors</rights><rights>Copyright Elsevier Science Ltd. Nov 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c420t-35d26e8551973d0a7a74ed57a19b9bcc1ceefaa1642d5f68b90ccff4bb954343</citedby><cites>FETCH-LOGICAL-c420t-35d26e8551973d0a7a74ed57a19b9bcc1ceefaa1642d5f68b90ccff4bb954343</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.techfore.2020.120222$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3548,27865,27923,27924,33773,45994</link.rule.ids></links><search><creatorcontrib>Tan, Xiujie</creatorcontrib><creatorcontrib>Choi, Yongrok</creatorcontrib><creatorcontrib>Wang, Banban</creatorcontrib><creatorcontrib>Huang, Xiaoqi</creatorcontrib><title>Does China's carbon regulatory policy improve total factor carbon efficiency? A fixed-effect panel stochastic frontier analysis</title><title>Technological forecasting &amp; social change</title><description>lThe fixed-effect stochastic frontier approach is applied to estimate the total factor carbon efficiency.lChina's carbon regulatory policy during the 12th FYP has improved carbon efficiency.lCarbon regulations have enhanced the role of energy prices in improving carbon efficiency.lIt is necessary to introduce market-oriented tools aside from the existing command-and-control policies. In China, climate policy has been strengthened by the mandated carbon intensity reduction target, which is a simple measurement of carbon efficiency under the single-factor framework. Is this carbon regulation during the 12th Five-Year Plan (FYP) actually effective for total factor carbon efficiency (TFCE) in China? To answer this research question, we estimate the TFCE and its policy and economic drivers using the fixed-effect stochastic frontier approach. The main results are as follows. First, the TFCE shows time and sector heterogeneity ranging from 0.235 to 0.996. Moreover, the changing pattern implies a positive relationship between TFCE and the 12th FYP. Second, the implementation of carbon regulations during the 12th FYP not only helped meet the carbon intensity reduction target, but also assisted in effectively improving TFCE. Third, carbon regulations have positively enhanced the role of energy prices in TFCE promotion and alleviated the negative role of exports. The results have significant policy implications for the carbon regulations in China's forthcoming 14th FYP. It is necessary to introduce market-oriented tools aside from the existing command-and-control policies.</description><subject>Carbon</subject><subject>Carbon efficiency</subject><subject>Climate policy</subject><subject>Command and control</subject><subject>Efficiency</subject><subject>Environmental policy</subject><subject>Fixed-effect panel stochastic frontier analysis</subject><subject>Heterogeneity</subject><subject>Industrial sub-sectors</subject><subject>Reduction</subject><subject>Regulation</subject><subject>Regulations</subject><subject>Total factor carbon efficiency</subject><issn>0040-1625</issn><issn>1873-5509</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><sourceid>BHHNA</sourceid><recordid>eNqFkE1LAzEQhoMoWKt_QQIePG1Nspv9OGmpn1Dw0nvIZic2ZbtZk7S4J_-6qWvPMjADM-8M8z4IXVMyo4Tmd5tZALXW1sGMERabMTN2gia0LNKEc1KdogkhGUlozvg5uvB-Qwgp0jKfoO9HCx4v1qaTtx4r6WrbYQcfu1YG6wbc29aoAZtt7-wecLBBtlhLFYdHNWhtlIFODfd4jrX5giaJPVAB97KDFvtg1Vr6YBTWznbBgMOyk-3gjb9EZ1q2Hq7-6hStnp9Wi9dk-f7ytpgvE5UxEpKUNyyHknNaFWlDZCGLDBpeSFrVVa0UVQBaSppnrOE6L-uKKKV1VtcVz9IsnaKb8Wy08bkDH8TG7lz8wQuWFWXJaIyoykeVctZ7B1r0zmylGwQl4sBabMSRtTiwFiPruPgwLkK0sI_-hP8lAo1xkYNorPnvxA-SUo3c</recordid><startdate>20201101</startdate><enddate>20201101</enddate><creator>Tan, Xiujie</creator><creator>Choi, Yongrok</creator><creator>Wang, Banban</creator><creator>Huang, Xiaoqi</creator><general>Elsevier Inc</general><general>Elsevier Science Ltd</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>7TQ</scope><scope>7U4</scope><scope>8FD</scope><scope>BHHNA</scope><scope>DHY</scope><scope>DON</scope><scope>DWI</scope><scope>F28</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>WZK</scope></search><sort><creationdate>20201101</creationdate><title>Does China's carbon regulatory policy improve total factor carbon efficiency? A fixed-effect panel stochastic frontier analysis</title><author>Tan, Xiujie ; Choi, Yongrok ; Wang, Banban ; Huang, Xiaoqi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c420t-35d26e8551973d0a7a74ed57a19b9bcc1ceefaa1642d5f68b90ccff4bb954343</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Carbon</topic><topic>Carbon efficiency</topic><topic>Climate policy</topic><topic>Command and control</topic><topic>Efficiency</topic><topic>Environmental policy</topic><topic>Fixed-effect panel stochastic frontier analysis</topic><topic>Heterogeneity</topic><topic>Industrial sub-sectors</topic><topic>Reduction</topic><topic>Regulation</topic><topic>Regulations</topic><topic>Total factor carbon efficiency</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tan, Xiujie</creatorcontrib><creatorcontrib>Choi, Yongrok</creatorcontrib><creatorcontrib>Wang, Banban</creatorcontrib><creatorcontrib>Huang, Xiaoqi</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>PAIS Index</collection><collection>Sociological Abstracts (pre-2017)</collection><collection>Technology Research Database</collection><collection>Sociological Abstracts</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>Sociological Abstracts</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Sociological Abstracts (Ovid)</collection><jtitle>Technological forecasting &amp; social change</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tan, Xiujie</au><au>Choi, Yongrok</au><au>Wang, Banban</au><au>Huang, Xiaoqi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Does China's carbon regulatory policy improve total factor carbon efficiency? A fixed-effect panel stochastic frontier analysis</atitle><jtitle>Technological forecasting &amp; social change</jtitle><date>2020-11-01</date><risdate>2020</risdate><volume>160</volume><spage>120222</spage><pages>120222-</pages><artnum>120222</artnum><issn>0040-1625</issn><eissn>1873-5509</eissn><abstract>lThe fixed-effect stochastic frontier approach is applied to estimate the total factor carbon efficiency.lChina's carbon regulatory policy during the 12th FYP has improved carbon efficiency.lCarbon regulations have enhanced the role of energy prices in improving carbon efficiency.lIt is necessary to introduce market-oriented tools aside from the existing command-and-control policies. In China, climate policy has been strengthened by the mandated carbon intensity reduction target, which is a simple measurement of carbon efficiency under the single-factor framework. Is this carbon regulation during the 12th Five-Year Plan (FYP) actually effective for total factor carbon efficiency (TFCE) in China? To answer this research question, we estimate the TFCE and its policy and economic drivers using the fixed-effect stochastic frontier approach. The main results are as follows. First, the TFCE shows time and sector heterogeneity ranging from 0.235 to 0.996. Moreover, the changing pattern implies a positive relationship between TFCE and the 12th FYP. Second, the implementation of carbon regulations during the 12th FYP not only helped meet the carbon intensity reduction target, but also assisted in effectively improving TFCE. Third, carbon regulations have positively enhanced the role of energy prices in TFCE promotion and alleviated the negative role of exports. The results have significant policy implications for the carbon regulations in China's forthcoming 14th FYP. It is necessary to introduce market-oriented tools aside from the existing command-and-control policies.</abstract><cop>New York</cop><pub>Elsevier Inc</pub><doi>10.1016/j.techfore.2020.120222</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0040-1625
ispartof Technological forecasting & social change, 2020-11, Vol.160, p.120222, Article 120222
issn 0040-1625
1873-5509
language eng
recordid cdi_proquest_journals_2478821212
source PAIS Index; Sociological Abstracts; ScienceDirect Journals (5 years ago - present)
subjects Carbon
Carbon efficiency
Climate policy
Command and control
Efficiency
Environmental policy
Fixed-effect panel stochastic frontier analysis
Heterogeneity
Industrial sub-sectors
Reduction
Regulation
Regulations
Total factor carbon efficiency
title Does China's carbon regulatory policy improve total factor carbon efficiency? A fixed-effect panel stochastic frontier analysis
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T00%3A22%3A14IST&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=Does%20China's%20carbon%20regulatory%20policy%20improve%20total%20factor%20carbon%20efficiency?%20A%20fixed-effect%20panel%20stochastic%20frontier%20analysis&rft.jtitle=Technological%20forecasting%20&%20social%20change&rft.au=Tan,%20Xiujie&rft.date=2020-11-01&rft.volume=160&rft.spage=120222&rft.pages=120222-&rft.artnum=120222&rft.issn=0040-1625&rft.eissn=1873-5509&rft_id=info:doi/10.1016/j.techfore.2020.120222&rft_dat=%3Cproquest_cross%3E2478821212%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=2478821212&rft_id=info:pmid/&rft_els_id=S0040162520310489&rfr_iscdi=true