Loading…
Impact of industrial robots on environmental pollution: evidence from China
The application of industrial robots is considered a significant factor affecting environmental pollution. Selecting industrial wastewater discharge, industrial SO 2 emissions and industrial soot emissions as the evaluation indicators of environmental pollution, this paper uses the panel data model...
Saved in:
| Published in: | Scientific reports 2023-11, Vol.13 (1), p.20769-20769, Article 20769 |
|---|---|
| Main Author: | |
| 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-c462t-8d8a7a02eccca91d774d3b1d981556512d5157a9ccec5cdec885f6368aecf2403 |
|---|---|
| cites | cdi_FETCH-LOGICAL-c462t-8d8a7a02eccca91d774d3b1d981556512d5157a9ccec5cdec885f6368aecf2403 |
| container_end_page | 20769 |
| container_issue | 1 |
| container_start_page | 20769 |
| container_title | Scientific reports |
| container_volume | 13 |
| creator | Liu, Yanfang |
| description | The application of industrial robots is considered a significant factor affecting environmental pollution. Selecting industrial wastewater discharge, industrial SO
2
emissions and industrial soot emissions as the evaluation indicators of environmental pollution, this paper uses the panel data model and mediation effect model to empirically examine the impact of industrial robots on environmental pollution and its mechanisms. The conclusions are as follows: (1) Industrial robots can significantly reduce environmental pollution. (2) Industrial robots can reduce environmental pollution by improving the level of green technology innovation and optimizing the structure of employment skills. (3) With the increase in emissions of industrial wastewater, industrial SO
2
, and industrial dust, the impacts generated by industrial robots are exhibiting trends of a “W” shape, gradual intensification, and progressive weakening. (4) Regarding regional heterogeneity, industrial robots in the eastern region have the greatest negative impact on environmental pollution, followed by the central region, and the western region has the least negative impact on environmental pollution. Regarding time heterogeneity, the emission reduction effect of industrial robots after 2013 is greater than that before 2013. Based on the above conclusions, this paper suggests that the Chinese government and enterprises should increase investment in the robot industry. Using industrial robots to drive innovation in green technology and optimize employment skill structures, reducing environmental pollution. |
| doi_str_mv | 10.1038/s41598-023-47380-6 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_26f603eb2b21443096237bee04496711</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_26f603eb2b21443096237bee04496711</doaj_id><sourcerecordid>2893684338</sourcerecordid><originalsourceid>FETCH-LOGICAL-c462t-8d8a7a02eccca91d774d3b1d981556512d5157a9ccec5cdec885f6368aecf2403</originalsourceid><addsrcrecordid>eNp9kU9r3DAQxU1JoWGzX6AnQy65ONV_S7mVJU2WLvTSnoUsjVMttuRKdiDfPto4NKWHzGWG4fceM7yq-ozRNUZUfskMcyUbRGjDWipRIz5U5wQx3hBKyNk_86dqm_MRleJEMazOq-_7cTJ2rmNf--CWPCdvhjrFLs65jqGG8OhTDCOEueynOAzL7GO4qeHROwgW6j7Fsd799sFcVB97M2TYvvZN9evb7c_dfXP4cbfffT00lgkyN9JJ0xpEwFprFHZtyxztsFMScy44Jo5j3hplLVhuHVgpeS-okAZsTxiim2q_-rpojnpKfjTpSUfj9csipgdt0uztAJqIXiAKHekIZowiJQhtOwDEmBItxsXravWaUvyzQJ716LOFYTAB4pI1kYpRgRSXBb38Dz3GJYXy6Ykq9zFKTxRZKZtizgn6vwdipE9x6TUuXeLSL3FpUUR0FeUChwdIb9bvqJ4B52iWXw</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2893684338</pqid></control><display><type>article</type><title>Impact of industrial robots on environmental pollution: evidence from China</title><source>Publicly Available Content (ProQuest)</source><source>PubMed</source><source>Free Full-Text Journals in Chemistry</source><source>Springer Nature - nature.com Journals - Fully Open Access</source><creator>Liu, Yanfang</creator><creatorcontrib>Liu, Yanfang</creatorcontrib><description>The application of industrial robots is considered a significant factor affecting environmental pollution. Selecting industrial wastewater discharge, industrial SO
2
emissions and industrial soot emissions as the evaluation indicators of environmental pollution, this paper uses the panel data model and mediation effect model to empirically examine the impact of industrial robots on environmental pollution and its mechanisms. The conclusions are as follows: (1) Industrial robots can significantly reduce environmental pollution. (2) Industrial robots can reduce environmental pollution by improving the level of green technology innovation and optimizing the structure of employment skills. (3) With the increase in emissions of industrial wastewater, industrial SO
2
, and industrial dust, the impacts generated by industrial robots are exhibiting trends of a “W” shape, gradual intensification, and progressive weakening. (4) Regarding regional heterogeneity, industrial robots in the eastern region have the greatest negative impact on environmental pollution, followed by the central region, and the western region has the least negative impact on environmental pollution. Regarding time heterogeneity, the emission reduction effect of industrial robots after 2013 is greater than that before 2013. Based on the above conclusions, this paper suggests that the Chinese government and enterprises should increase investment in the robot industry. Using industrial robots to drive innovation in green technology and optimize employment skill structures, reducing environmental pollution.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-023-47380-6</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>704/158 ; 704/172 ; 704/844 ; Clean technology ; Emissions ; Emissions control ; Employment ; Environmental impact ; Environmental indicators ; Heterogeneity ; Humanities and Social Sciences ; Industrial emissions ; Industrial pollution ; Industrial wastewater ; multidisciplinary ; Pollution ; Pollution control ; Robots ; Science ; Science (multidisciplinary) ; Sulfur dioxide ; Wastewater ; Wastewater discharges</subject><ispartof>Scientific reports, 2023-11, Vol.13 (1), p.20769-20769, Article 20769</ispartof><rights>The Author(s) 2023</rights><rights>The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c462t-8d8a7a02eccca91d774d3b1d981556512d5157a9ccec5cdec885f6368aecf2403</citedby><cites>FETCH-LOGICAL-c462t-8d8a7a02eccca91d774d3b1d981556512d5157a9ccec5cdec885f6368aecf2403</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2893684338/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2893684338?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,37013,44590,75126</link.rule.ids></links><search><creatorcontrib>Liu, Yanfang</creatorcontrib><title>Impact of industrial robots on environmental pollution: evidence from China</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><description>The application of industrial robots is considered a significant factor affecting environmental pollution. Selecting industrial wastewater discharge, industrial SO
2
emissions and industrial soot emissions as the evaluation indicators of environmental pollution, this paper uses the panel data model and mediation effect model to empirically examine the impact of industrial robots on environmental pollution and its mechanisms. The conclusions are as follows: (1) Industrial robots can significantly reduce environmental pollution. (2) Industrial robots can reduce environmental pollution by improving the level of green technology innovation and optimizing the structure of employment skills. (3) With the increase in emissions of industrial wastewater, industrial SO
2
, and industrial dust, the impacts generated by industrial robots are exhibiting trends of a “W” shape, gradual intensification, and progressive weakening. (4) Regarding regional heterogeneity, industrial robots in the eastern region have the greatest negative impact on environmental pollution, followed by the central region, and the western region has the least negative impact on environmental pollution. Regarding time heterogeneity, the emission reduction effect of industrial robots after 2013 is greater than that before 2013. Based on the above conclusions, this paper suggests that the Chinese government and enterprises should increase investment in the robot industry. Using industrial robots to drive innovation in green technology and optimize employment skill structures, reducing environmental pollution.</description><subject>704/158</subject><subject>704/172</subject><subject>704/844</subject><subject>Clean technology</subject><subject>Emissions</subject><subject>Emissions control</subject><subject>Employment</subject><subject>Environmental impact</subject><subject>Environmental indicators</subject><subject>Heterogeneity</subject><subject>Humanities and Social Sciences</subject><subject>Industrial emissions</subject><subject>Industrial pollution</subject><subject>Industrial wastewater</subject><subject>multidisciplinary</subject><subject>Pollution</subject><subject>Pollution control</subject><subject>Robots</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Sulfur dioxide</subject><subject>Wastewater</subject><subject>Wastewater discharges</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9kU9r3DAQxU1JoWGzX6AnQy65ONV_S7mVJU2WLvTSnoUsjVMttuRKdiDfPto4NKWHzGWG4fceM7yq-ozRNUZUfskMcyUbRGjDWipRIz5U5wQx3hBKyNk_86dqm_MRleJEMazOq-_7cTJ2rmNf--CWPCdvhjrFLs65jqGG8OhTDCOEueynOAzL7GO4qeHROwgW6j7Fsd799sFcVB97M2TYvvZN9evb7c_dfXP4cbfffT00lgkyN9JJ0xpEwFprFHZtyxztsFMScy44Jo5j3hplLVhuHVgpeS-okAZsTxiim2q_-rpojnpKfjTpSUfj9csipgdt0uztAJqIXiAKHekIZowiJQhtOwDEmBItxsXravWaUvyzQJ716LOFYTAB4pI1kYpRgRSXBb38Dz3GJYXy6Ykq9zFKTxRZKZtizgn6vwdipE9x6TUuXeLSL3FpUUR0FeUChwdIb9bvqJ4B52iWXw</recordid><startdate>20231126</startdate><enddate>20231126</enddate><creator>Liu, Yanfang</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><general>Nature Portfolio</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>DOA</scope></search><sort><creationdate>20231126</creationdate><title>Impact of industrial robots on environmental pollution: evidence from China</title><author>Liu, Yanfang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c462t-8d8a7a02eccca91d774d3b1d981556512d5157a9ccec5cdec885f6368aecf2403</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>704/158</topic><topic>704/172</topic><topic>704/844</topic><topic>Clean technology</topic><topic>Emissions</topic><topic>Emissions control</topic><topic>Employment</topic><topic>Environmental impact</topic><topic>Environmental indicators</topic><topic>Heterogeneity</topic><topic>Humanities and Social Sciences</topic><topic>Industrial emissions</topic><topic>Industrial pollution</topic><topic>Industrial wastewater</topic><topic>multidisciplinary</topic><topic>Pollution</topic><topic>Pollution control</topic><topic>Robots</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Sulfur dioxide</topic><topic>Wastewater</topic><topic>Wastewater discharges</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Yanfang</creatorcontrib><collection>Springer Open Access</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biological Sciences</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest Science Journals</collection><collection>Biological Science Database</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>Directory of Open Access Journals</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Yanfang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of industrial robots on environmental pollution: evidence from China</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><date>2023-11-26</date><risdate>2023</risdate><volume>13</volume><issue>1</issue><spage>20769</spage><epage>20769</epage><pages>20769-20769</pages><artnum>20769</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>The application of industrial robots is considered a significant factor affecting environmental pollution. Selecting industrial wastewater discharge, industrial SO
2
emissions and industrial soot emissions as the evaluation indicators of environmental pollution, this paper uses the panel data model and mediation effect model to empirically examine the impact of industrial robots on environmental pollution and its mechanisms. The conclusions are as follows: (1) Industrial robots can significantly reduce environmental pollution. (2) Industrial robots can reduce environmental pollution by improving the level of green technology innovation and optimizing the structure of employment skills. (3) With the increase in emissions of industrial wastewater, industrial SO
2
, and industrial dust, the impacts generated by industrial robots are exhibiting trends of a “W” shape, gradual intensification, and progressive weakening. (4) Regarding regional heterogeneity, industrial robots in the eastern region have the greatest negative impact on environmental pollution, followed by the central region, and the western region has the least negative impact on environmental pollution. Regarding time heterogeneity, the emission reduction effect of industrial robots after 2013 is greater than that before 2013. Based on the above conclusions, this paper suggests that the Chinese government and enterprises should increase investment in the robot industry. Using industrial robots to drive innovation in green technology and optimize employment skill structures, reducing environmental pollution.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><doi>10.1038/s41598-023-47380-6</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2045-2322 |
| ispartof | Scientific reports, 2023-11, Vol.13 (1), p.20769-20769, Article 20769 |
| issn | 2045-2322 2045-2322 |
| language | eng |
| recordid | cdi_doaj_primary_oai_doaj_org_article_26f603eb2b21443096237bee04496711 |
| source | Publicly Available Content (ProQuest); PubMed; Free Full-Text Journals in Chemistry; Springer Nature - nature.com Journals - Fully Open Access |
| subjects | 704/158 704/172 704/844 Clean technology Emissions Emissions control Employment Environmental impact Environmental indicators Heterogeneity Humanities and Social Sciences Industrial emissions Industrial pollution Industrial wastewater multidisciplinary Pollution Pollution control Robots Science Science (multidisciplinary) Sulfur dioxide Wastewater Wastewater discharges |
| title | Impact of industrial robots on environmental pollution: evidence from China |
| url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T17%3A42%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Impact%20of%20industrial%20robots%20on%20environmental%20pollution:%20evidence%20from%20China&rft.jtitle=Scientific%20reports&rft.au=Liu,%20Yanfang&rft.date=2023-11-26&rft.volume=13&rft.issue=1&rft.spage=20769&rft.epage=20769&rft.pages=20769-20769&rft.artnum=20769&rft.issn=2045-2322&rft.eissn=2045-2322&rft_id=info:doi/10.1038/s41598-023-47380-6&rft_dat=%3Cproquest_doaj_%3E2893684338%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c462t-8d8a7a02eccca91d774d3b1d981556512d5157a9ccec5cdec885f6368aecf2403%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2893684338&rft_id=info:pmid/&rfr_iscdi=true |