Loading…

The Dynamic Impact of Digital Economy on Carbon Emission Reduction: Evidence City-level Empirical Data in China

The digital economy is of great significant for carbon emission reduction. To estimate the impact on carbon emissions of digital economy, this paper conducts nonlinear analysis with the combination of spatial DURBIN model (SDM) and panel threshold model (PTM). Moreover, this paper decomposes the car...

Full description

Saved in:
Bibliographic Details
Published in:Journal of cleaner production 2022-06, Vol.351, p.131570, Article 131570
Main Authors: Li, Zhiguo, Wang, Jie
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c239t-1448d4dd7aac543e4e0e6e9b2ba4053b4502886a8d57fdbb601cb0a0bf78385e3
cites cdi_FETCH-LOGICAL-c239t-1448d4dd7aac543e4e0e6e9b2ba4053b4502886a8d57fdbb601cb0a0bf78385e3
container_end_page
container_issue
container_start_page 131570
container_title Journal of cleaner production
container_volume 351
creator Li, Zhiguo
Wang, Jie
description The digital economy is of great significant for carbon emission reduction. To estimate the impact on carbon emissions of digital economy, this paper conducts nonlinear analysis with the combination of spatial DURBIN model (SDM) and panel threshold model (PTM). Moreover, this paper decomposes the carbon emissions reduction effect into direct part and spatial spillover part, further analyzes the action mechanism from the perspective of technology progress, energy use and industrial structure. The empirical results indicate that the digital economy and carbon emissions have inverted U-shaped relationship. Similarly, the spatial spillover effect of digital economy on carbon emissions is also inverted-U shape. The digital economy increases first and then reduces the carbon emissions. The robustness tests and endogenous analysis both support above conclusions. Compared with the indirect effect, the direct effect of digital economy on carbon emissions is significantly greater. Moreover, the long-term effect of digital economy on carbon emissions is greater than the short-term effect. The impact of digital economy on carbon emissions exists regional heterogeneity. Different from the eastern and central regions, the digital economy in western region promotes carbon emissions monotonically. The impact of digital economy on carbon emissions faces significant resource endowment thresholds, urban scale thresholds and innovative capability thresholds. The increase of energy use and non-green technology progress are the main paths to influence local carbon emissions in short term, while the green technology progress and industrial structure upgrade become dominant paths in long term. The active demonstration of industrial structure upgrade and technology spillovers drive the spillover effect of digital economy on carbon emissions in long term. This paper suggests that, the realization of carbon peak and carbon neutral needs to strengthen the digital economy and promote the regional cooperation in environmental governance. The green integration of digital economy and traditional industries is of great significant for carbon emission reduction.
doi_str_mv 10.1016/j.jclepro.2022.131570
format article
fullrecord <record><control><sourceid>elsevier_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1016_j_jclepro_2022_131570</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S095965262201188X</els_id><sourcerecordid>S095965262201188X</sourcerecordid><originalsourceid>FETCH-LOGICAL-c239t-1448d4dd7aac543e4e0e6e9b2ba4053b4502886a8d57fdbb601cb0a0bf78385e3</originalsourceid><addsrcrecordid>eNqFkM1KxDAUhYMoOI4-gpAXaE3apGndiHSqDgwIMq5Dfm6dlP6R1IG-vR1m9q7O2ZyPez-EHimJKaHZUxM3poXRD3FCkiSmKeWCXKEVzUURUZFn12hFCl5EGU-yW3QXQkMIFUSwFRr2B8CbuVedM3jbjcpMeKjxxv24SbW4MkM_dDMeelwqr5eoOheCW8oX2F8zLe0ZV0dnoTeASzfNUQtHWJbd6LwzC2OjJoXdAji4Xt2jm1q1AR4uuUbfb9W-_Ih2n-_b8nUXmSQtpogylltmrVDKcJYCAwIZFDrRihGeasZJkueZyi0XtdU6I9RoooiuRZ7mHNI14meu8UMIHmo5etcpP0tK5MmabOTFmjxZk2dry-7lvIPluKMDL4Nxp9-s82AmaQf3D-EPaMR5QQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>The Dynamic Impact of Digital Economy on Carbon Emission Reduction: Evidence City-level Empirical Data in China</title><source>ScienceDirect Freedom Collection</source><creator>Li, Zhiguo ; Wang, Jie</creator><creatorcontrib>Li, Zhiguo ; Wang, Jie</creatorcontrib><description>The digital economy is of great significant for carbon emission reduction. To estimate the impact on carbon emissions of digital economy, this paper conducts nonlinear analysis with the combination of spatial DURBIN model (SDM) and panel threshold model (PTM). Moreover, this paper decomposes the carbon emissions reduction effect into direct part and spatial spillover part, further analyzes the action mechanism from the perspective of technology progress, energy use and industrial structure. The empirical results indicate that the digital economy and carbon emissions have inverted U-shaped relationship. Similarly, the spatial spillover effect of digital economy on carbon emissions is also inverted-U shape. The digital economy increases first and then reduces the carbon emissions. The robustness tests and endogenous analysis both support above conclusions. Compared with the indirect effect, the direct effect of digital economy on carbon emissions is significantly greater. Moreover, the long-term effect of digital economy on carbon emissions is greater than the short-term effect. The impact of digital economy on carbon emissions exists regional heterogeneity. Different from the eastern and central regions, the digital economy in western region promotes carbon emissions monotonically. The impact of digital economy on carbon emissions faces significant resource endowment thresholds, urban scale thresholds and innovative capability thresholds. The increase of energy use and non-green technology progress are the main paths to influence local carbon emissions in short term, while the green technology progress and industrial structure upgrade become dominant paths in long term. The active demonstration of industrial structure upgrade and technology spillovers drive the spillover effect of digital economy on carbon emissions in long term. This paper suggests that, the realization of carbon peak and carbon neutral needs to strengthen the digital economy and promote the regional cooperation in environmental governance. The green integration of digital economy and traditional industries is of great significant for carbon emission reduction.</description><identifier>ISSN: 0959-6526</identifier><identifier>EISSN: 1879-1786</identifier><identifier>DOI: 10.1016/j.jclepro.2022.131570</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Carbon emission reduction ; Digital economy ; SDM ; Spatial spillover effect</subject><ispartof>Journal of cleaner production, 2022-06, Vol.351, p.131570, Article 131570</ispartof><rights>2022 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c239t-1448d4dd7aac543e4e0e6e9b2ba4053b4502886a8d57fdbb601cb0a0bf78385e3</citedby><cites>FETCH-LOGICAL-c239t-1448d4dd7aac543e4e0e6e9b2ba4053b4502886a8d57fdbb601cb0a0bf78385e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Li, Zhiguo</creatorcontrib><creatorcontrib>Wang, Jie</creatorcontrib><title>The Dynamic Impact of Digital Economy on Carbon Emission Reduction: Evidence City-level Empirical Data in China</title><title>Journal of cleaner production</title><description>The digital economy is of great significant for carbon emission reduction. To estimate the impact on carbon emissions of digital economy, this paper conducts nonlinear analysis with the combination of spatial DURBIN model (SDM) and panel threshold model (PTM). Moreover, this paper decomposes the carbon emissions reduction effect into direct part and spatial spillover part, further analyzes the action mechanism from the perspective of technology progress, energy use and industrial structure. The empirical results indicate that the digital economy and carbon emissions have inverted U-shaped relationship. Similarly, the spatial spillover effect of digital economy on carbon emissions is also inverted-U shape. The digital economy increases first and then reduces the carbon emissions. The robustness tests and endogenous analysis both support above conclusions. Compared with the indirect effect, the direct effect of digital economy on carbon emissions is significantly greater. Moreover, the long-term effect of digital economy on carbon emissions is greater than the short-term effect. The impact of digital economy on carbon emissions exists regional heterogeneity. Different from the eastern and central regions, the digital economy in western region promotes carbon emissions monotonically. The impact of digital economy on carbon emissions faces significant resource endowment thresholds, urban scale thresholds and innovative capability thresholds. The increase of energy use and non-green technology progress are the main paths to influence local carbon emissions in short term, while the green technology progress and industrial structure upgrade become dominant paths in long term. The active demonstration of industrial structure upgrade and technology spillovers drive the spillover effect of digital economy on carbon emissions in long term. This paper suggests that, the realization of carbon peak and carbon neutral needs to strengthen the digital economy and promote the regional cooperation in environmental governance. The green integration of digital economy and traditional industries is of great significant for carbon emission reduction.</description><subject>Carbon emission reduction</subject><subject>Digital economy</subject><subject>SDM</subject><subject>Spatial spillover effect</subject><issn>0959-6526</issn><issn>1879-1786</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqFkM1KxDAUhYMoOI4-gpAXaE3apGndiHSqDgwIMq5Dfm6dlP6R1IG-vR1m9q7O2ZyPez-EHimJKaHZUxM3poXRD3FCkiSmKeWCXKEVzUURUZFn12hFCl5EGU-yW3QXQkMIFUSwFRr2B8CbuVedM3jbjcpMeKjxxv24SbW4MkM_dDMeelwqr5eoOheCW8oX2F8zLe0ZV0dnoTeASzfNUQtHWJbd6LwzC2OjJoXdAji4Xt2jm1q1AR4uuUbfb9W-_Ih2n-_b8nUXmSQtpogylltmrVDKcJYCAwIZFDrRihGeasZJkueZyi0XtdU6I9RoooiuRZ7mHNI14meu8UMIHmo5etcpP0tK5MmabOTFmjxZk2dry-7lvIPluKMDL4Nxp9-s82AmaQf3D-EPaMR5QQ</recordid><startdate>20220601</startdate><enddate>20220601</enddate><creator>Li, Zhiguo</creator><creator>Wang, Jie</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20220601</creationdate><title>The Dynamic Impact of Digital Economy on Carbon Emission Reduction: Evidence City-level Empirical Data in China</title><author>Li, Zhiguo ; Wang, Jie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c239t-1448d4dd7aac543e4e0e6e9b2ba4053b4502886a8d57fdbb601cb0a0bf78385e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Carbon emission reduction</topic><topic>Digital economy</topic><topic>SDM</topic><topic>Spatial spillover effect</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Zhiguo</creatorcontrib><creatorcontrib>Wang, Jie</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of cleaner production</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Zhiguo</au><au>Wang, Jie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Dynamic Impact of Digital Economy on Carbon Emission Reduction: Evidence City-level Empirical Data in China</atitle><jtitle>Journal of cleaner production</jtitle><date>2022-06-01</date><risdate>2022</risdate><volume>351</volume><spage>131570</spage><pages>131570-</pages><artnum>131570</artnum><issn>0959-6526</issn><eissn>1879-1786</eissn><abstract>The digital economy is of great significant for carbon emission reduction. To estimate the impact on carbon emissions of digital economy, this paper conducts nonlinear analysis with the combination of spatial DURBIN model (SDM) and panel threshold model (PTM). Moreover, this paper decomposes the carbon emissions reduction effect into direct part and spatial spillover part, further analyzes the action mechanism from the perspective of technology progress, energy use and industrial structure. The empirical results indicate that the digital economy and carbon emissions have inverted U-shaped relationship. Similarly, the spatial spillover effect of digital economy on carbon emissions is also inverted-U shape. The digital economy increases first and then reduces the carbon emissions. The robustness tests and endogenous analysis both support above conclusions. Compared with the indirect effect, the direct effect of digital economy on carbon emissions is significantly greater. Moreover, the long-term effect of digital economy on carbon emissions is greater than the short-term effect. The impact of digital economy on carbon emissions exists regional heterogeneity. Different from the eastern and central regions, the digital economy in western region promotes carbon emissions monotonically. The impact of digital economy on carbon emissions faces significant resource endowment thresholds, urban scale thresholds and innovative capability thresholds. The increase of energy use and non-green technology progress are the main paths to influence local carbon emissions in short term, while the green technology progress and industrial structure upgrade become dominant paths in long term. The active demonstration of industrial structure upgrade and technology spillovers drive the spillover effect of digital economy on carbon emissions in long term. This paper suggests that, the realization of carbon peak and carbon neutral needs to strengthen the digital economy and promote the regional cooperation in environmental governance. The green integration of digital economy and traditional industries is of great significant for carbon emission reduction.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.jclepro.2022.131570</doi></addata></record>
fulltext fulltext
identifier ISSN: 0959-6526
ispartof Journal of cleaner production, 2022-06, Vol.351, p.131570, Article 131570
issn 0959-6526
1879-1786
language eng
recordid cdi_crossref_primary_10_1016_j_jclepro_2022_131570
source ScienceDirect Freedom Collection
subjects Carbon emission reduction
Digital economy
SDM
Spatial spillover effect
title The Dynamic Impact of Digital Economy on Carbon Emission Reduction: Evidence City-level Empirical Data in China
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T07%3A08%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-elsevier_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20Dynamic%20Impact%20of%20Digital%20Economy%20on%20Carbon%20Emission%20Reduction:%20Evidence%20City-level%20Empirical%20Data%20in%20China&rft.jtitle=Journal%20of%20cleaner%20production&rft.au=Li,%20Zhiguo&rft.date=2022-06-01&rft.volume=351&rft.spage=131570&rft.pages=131570-&rft.artnum=131570&rft.issn=0959-6526&rft.eissn=1879-1786&rft_id=info:doi/10.1016/j.jclepro.2022.131570&rft_dat=%3Celsevier_cross%3ES095965262201188X%3C/elsevier_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c239t-1448d4dd7aac543e4e0e6e9b2ba4053b4502886a8d57fdbb601cb0a0bf78385e3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true