Impacts of Energy Structure on Carbon Emissions in China, 1997-2019
To mitigate climate change, reducing carbon dioxide (CO ) emissions is of paramount importance. China, the largest global CO emitter, proposes to peak carbon emissions by 2030 and become carbon neutral by 2060; transforming the energy structure represents one of the primary means of addressing carbo...
Gespeichert in:
| Veröffentlicht in: | International journal of environmental research and public health 2022-05, Vol.19 (10), p.5850 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 10 |
| container_start_page | 5850 |
| container_title | International journal of environmental research and public health |
| container_volume | 19 |
| creator | Ge, Fengjian Li, Jiangfeng Zhang, Yi Ye, Shipeng Han, Peng |
| description | To mitigate climate change, reducing carbon dioxide (CO
) emissions is of paramount importance. China, the largest global CO
emitter, proposes to peak carbon emissions by 2030 and become carbon neutral by 2060; transforming the energy structure represents one of the primary means of addressing carbon emissions; thus, it is essential to investigate the impacts of alternate energy sources throughout the country. Based on energy consumption and carbon emissions data from 30 provincial-level administrative regions in China (excluding Tibet, Hong Kong, Taiwan, and Macau, due to the lack of data), the study here investigated the shares of coal, petroleum, natural gas, and non-fossil energy sources (i.e., hydropower, nuclear power, wind power, solar power, and biomass power), as they relate to total, per capita, and per unit GDP CO
emissions via spatial regression. The results showed that: (1) The epicenters of coal and carbon emissions have shifted from the east to the central and western regions; (2) There is a significant correlation between energy structure and carbon emissions: coal has a positive effect, petroleum's effects are positive at first, and negative subsequently; while both natural gas and non-fossil energy sources have a negative impact; (3) Provincial-level carbon emissions are affected by energy structure, carbon emissions in neighboring regions, and other factors. |
| doi_str_mv | 10.3390/ijerph19105850 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9140871</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2670178127</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3330-38573c9fa67106b6ac47708942983d62a7bd903e144f1f84a85e6cba0682f05d3</originalsourceid><addsrcrecordid>eNpdkc1LAzEQxYMotlavHmXBiwe3TpLdfFwEWaoWCh7Uc8im2XZLu6nJrtD_3pTWYj3NkPnlMW8eQtcYhpRKeKgX1q_nWGLIRQ4nqI8ZgzRjgE__9D10EcICgIqMyXPUozkjnAreR8V4tdamDYmrklFj_WyTvLe-M23nbeKapNC-jGW0qkOoXROSOr7N60bfJ1hKnhLA8hKdVXoZ7NW-DtDn8-ijeE0nby_j4mmSGkoppFTknBpZacYxsJJpk3EOQmZECjplRPNyKoFanGUVrkSmRW6ZKTUwQSrIp3SAHne6665c2amxTev1Uq19vdJ-o5yu1fGkqedq5r6VxBkIjqPA3V7Au6_OhlZFW8Yul7qxrguKxM2IAEZIRG__oQvX-Sba21KAucDxggM03FHGuxC8rQ7LYFDbfNRxPvHDzV8LB_w3EPoDZCSJYQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2670178127</pqid></control><display><type>article</type><title>Impacts of Energy Structure on Carbon Emissions in China, 1997-2019</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central Open Access</source><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Ge, Fengjian ; Li, Jiangfeng ; Zhang, Yi ; Ye, Shipeng ; Han, Peng</creator><creatorcontrib>Ge, Fengjian ; Li, Jiangfeng ; Zhang, Yi ; Ye, Shipeng ; Han, Peng</creatorcontrib><description>To mitigate climate change, reducing carbon dioxide (CO
) emissions is of paramount importance. China, the largest global CO
emitter, proposes to peak carbon emissions by 2030 and become carbon neutral by 2060; transforming the energy structure represents one of the primary means of addressing carbon emissions; thus, it is essential to investigate the impacts of alternate energy sources throughout the country. Based on energy consumption and carbon emissions data from 30 provincial-level administrative regions in China (excluding Tibet, Hong Kong, Taiwan, and Macau, due to the lack of data), the study here investigated the shares of coal, petroleum, natural gas, and non-fossil energy sources (i.e., hydropower, nuclear power, wind power, solar power, and biomass power), as they relate to total, per capita, and per unit GDP CO
emissions via spatial regression. The results showed that: (1) The epicenters of coal and carbon emissions have shifted from the east to the central and western regions; (2) There is a significant correlation between energy structure and carbon emissions: coal has a positive effect, petroleum's effects are positive at first, and negative subsequently; while both natural gas and non-fossil energy sources have a negative impact; (3) Provincial-level carbon emissions are affected by energy structure, carbon emissions in neighboring regions, and other factors.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph19105850</identifier><identifier>PMID: 35627387</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Carbon ; Carbon dioxide ; Climate change ; Climate change mitigation ; Coal ; Datasets ; Econometrics ; Electricity ; Emissions ; Emitters ; Energy consumption ; Energy industry ; Energy resources ; Energy sources ; Fossil fuels ; Gases ; GDP ; Gross Domestic Product ; Hydroelectric power ; Natural gas ; Nuclear energy ; Per capita ; Petroleum ; Population growth ; Regions ; Solar energy ; Solar power ; Urbanization ; Wind power</subject><ispartof>International journal of environmental research and public health, 2022-05, Vol.19 (10), p.5850</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3330-38573c9fa67106b6ac47708942983d62a7bd903e144f1f84a85e6cba0682f05d3</citedby><cites>FETCH-LOGICAL-c3330-38573c9fa67106b6ac47708942983d62a7bd903e144f1f84a85e6cba0682f05d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140871/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140871/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35627387$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ge, Fengjian</creatorcontrib><creatorcontrib>Li, Jiangfeng</creatorcontrib><creatorcontrib>Zhang, Yi</creatorcontrib><creatorcontrib>Ye, Shipeng</creatorcontrib><creatorcontrib>Han, Peng</creatorcontrib><title>Impacts of Energy Structure on Carbon Emissions in China, 1997-2019</title><title>International journal of environmental research and public health</title><addtitle>Int J Environ Res Public Health</addtitle><description>To mitigate climate change, reducing carbon dioxide (CO
) emissions is of paramount importance. China, the largest global CO
emitter, proposes to peak carbon emissions by 2030 and become carbon neutral by 2060; transforming the energy structure represents one of the primary means of addressing carbon emissions; thus, it is essential to investigate the impacts of alternate energy sources throughout the country. Based on energy consumption and carbon emissions data from 30 provincial-level administrative regions in China (excluding Tibet, Hong Kong, Taiwan, and Macau, due to the lack of data), the study here investigated the shares of coal, petroleum, natural gas, and non-fossil energy sources (i.e., hydropower, nuclear power, wind power, solar power, and biomass power), as they relate to total, per capita, and per unit GDP CO
emissions via spatial regression. The results showed that: (1) The epicenters of coal and carbon emissions have shifted from the east to the central and western regions; (2) There is a significant correlation between energy structure and carbon emissions: coal has a positive effect, petroleum's effects are positive at first, and negative subsequently; while both natural gas and non-fossil energy sources have a negative impact; (3) Provincial-level carbon emissions are affected by energy structure, carbon emissions in neighboring regions, and other factors.</description><subject>Carbon</subject><subject>Carbon dioxide</subject><subject>Climate change</subject><subject>Climate change mitigation</subject><subject>Coal</subject><subject>Datasets</subject><subject>Econometrics</subject><subject>Electricity</subject><subject>Emissions</subject><subject>Emitters</subject><subject>Energy consumption</subject><subject>Energy industry</subject><subject>Energy resources</subject><subject>Energy sources</subject><subject>Fossil fuels</subject><subject>Gases</subject><subject>GDP</subject><subject>Gross Domestic Product</subject><subject>Hydroelectric power</subject><subject>Natural gas</subject><subject>Nuclear energy</subject><subject>Per capita</subject><subject>Petroleum</subject><subject>Population growth</subject><subject>Regions</subject><subject>Solar energy</subject><subject>Solar power</subject><subject>Urbanization</subject><subject>Wind power</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkc1LAzEQxYMotlavHmXBiwe3TpLdfFwEWaoWCh7Uc8im2XZLu6nJrtD_3pTWYj3NkPnlMW8eQtcYhpRKeKgX1q_nWGLIRQ4nqI8ZgzRjgE__9D10EcICgIqMyXPUozkjnAreR8V4tdamDYmrklFj_WyTvLe-M23nbeKapNC-jGW0qkOoXROSOr7N60bfJ1hKnhLA8hKdVXoZ7NW-DtDn8-ijeE0nby_j4mmSGkoppFTknBpZacYxsJJpk3EOQmZECjplRPNyKoFanGUVrkSmRW6ZKTUwQSrIp3SAHne6665c2amxTev1Uq19vdJ-o5yu1fGkqedq5r6VxBkIjqPA3V7Au6_OhlZFW8Yul7qxrguKxM2IAEZIRG__oQvX-Sba21KAucDxggM03FHGuxC8rQ7LYFDbfNRxPvHDzV8LB_w3EPoDZCSJYQ</recordid><startdate>20220511</startdate><enddate>20220511</enddate><creator>Ge, Fengjian</creator><creator>Li, Jiangfeng</creator><creator>Zhang, Yi</creator><creator>Ye, Shipeng</creator><creator>Han, Peng</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20220511</creationdate><title>Impacts of Energy Structure on Carbon Emissions in China, 1997-2019</title><author>Ge, Fengjian ; Li, Jiangfeng ; Zhang, Yi ; Ye, Shipeng ; Han, Peng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3330-38573c9fa67106b6ac47708942983d62a7bd903e144f1f84a85e6cba0682f05d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Carbon</topic><topic>Carbon dioxide</topic><topic>Climate change</topic><topic>Climate change mitigation</topic><topic>Coal</topic><topic>Datasets</topic><topic>Econometrics</topic><topic>Electricity</topic><topic>Emissions</topic><topic>Emitters</topic><topic>Energy consumption</topic><topic>Energy industry</topic><topic>Energy resources</topic><topic>Energy sources</topic><topic>Fossil fuels</topic><topic>Gases</topic><topic>GDP</topic><topic>Gross Domestic Product</topic><topic>Hydroelectric power</topic><topic>Natural gas</topic><topic>Nuclear energy</topic><topic>Per capita</topic><topic>Petroleum</topic><topic>Population growth</topic><topic>Regions</topic><topic>Solar energy</topic><topic>Solar power</topic><topic>Urbanization</topic><topic>Wind power</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ge, Fengjian</creatorcontrib><creatorcontrib>Li, Jiangfeng</creatorcontrib><creatorcontrib>Zhang, Yi</creatorcontrib><creatorcontrib>Ye, Shipeng</creatorcontrib><creatorcontrib>Han, Peng</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of environmental research and public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ge, Fengjian</au><au>Li, Jiangfeng</au><au>Zhang, Yi</au><au>Ye, Shipeng</au><au>Han, Peng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impacts of Energy Structure on Carbon Emissions in China, 1997-2019</atitle><jtitle>International journal of environmental research and public health</jtitle><addtitle>Int J Environ Res Public Health</addtitle><date>2022-05-11</date><risdate>2022</risdate><volume>19</volume><issue>10</issue><spage>5850</spage><pages>5850-</pages><issn>1660-4601</issn><issn>1661-7827</issn><eissn>1660-4601</eissn><abstract>To mitigate climate change, reducing carbon dioxide (CO
) emissions is of paramount importance. China, the largest global CO
emitter, proposes to peak carbon emissions by 2030 and become carbon neutral by 2060; transforming the energy structure represents one of the primary means of addressing carbon emissions; thus, it is essential to investigate the impacts of alternate energy sources throughout the country. Based on energy consumption and carbon emissions data from 30 provincial-level administrative regions in China (excluding Tibet, Hong Kong, Taiwan, and Macau, due to the lack of data), the study here investigated the shares of coal, petroleum, natural gas, and non-fossil energy sources (i.e., hydropower, nuclear power, wind power, solar power, and biomass power), as they relate to total, per capita, and per unit GDP CO
emissions via spatial regression. The results showed that: (1) The epicenters of coal and carbon emissions have shifted from the east to the central and western regions; (2) There is a significant correlation between energy structure and carbon emissions: coal has a positive effect, petroleum's effects are positive at first, and negative subsequently; while both natural gas and non-fossil energy sources have a negative impact; (3) Provincial-level carbon emissions are affected by energy structure, carbon emissions in neighboring regions, and other factors.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>35627387</pmid><doi>10.3390/ijerph19105850</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1660-4601 |
| ispartof | International journal of environmental research and public health, 2022-05, Vol.19 (10), p.5850 |
| issn | 1660-4601 1661-7827 1660-4601 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9140871 |
| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central Open Access; MDPI - Multidisciplinary Digital Publishing Institute; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Carbon Carbon dioxide Climate change Climate change mitigation Coal Datasets Econometrics Electricity Emissions Emitters Energy consumption Energy industry Energy resources Energy sources Fossil fuels Gases GDP Gross Domestic Product Hydroelectric power Natural gas Nuclear energy Per capita Petroleum Population growth Regions Solar energy Solar power Urbanization Wind power |
| title | Impacts of Energy Structure on Carbon Emissions in China, 1997-2019 |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-19T19%3A21%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Impacts%20of%20Energy%20Structure%20on%20Carbon%20Emissions%20in%20China,%201997-2019&rft.jtitle=International%20journal%20of%20environmental%20research%20and%20public%20health&rft.au=Ge,%20Fengjian&rft.date=2022-05-11&rft.volume=19&rft.issue=10&rft.spage=5850&rft.pages=5850-&rft.issn=1660-4601&rft.eissn=1660-4601&rft_id=info:doi/10.3390/ijerph19105850&rft_dat=%3Cproquest_pubme%3E2670178127%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2670178127&rft_id=info:pmid/35627387&rfr_iscdi=true |