Spatial differences in energy performance among four municipalities of China: From both the aggregate and final demand perspectives
City, which consumes the majority of the total energy consumptions, has great influences on the national energy issues. As the widespread spatial differences, a quantitative energy analysis among multi-city allows exploring the targeted and distinguishing energy policy implications at the city level...
Gespeichert in:
Veröffentlicht in: | Energy (Oxford) 2020-08, Vol.204, p.117915, Article 117915 |
---|---|
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 | |
container_start_page | 117915 |
container_title | Energy (Oxford) |
container_volume | 204 |
creator | Yan, Junna Su, Bin |
description | City, which consumes the majority of the total energy consumptions, has great influences on the national energy issues. As the widespread spatial differences, a quantitative energy analysis among multi-city allows exploring the targeted and distinguishing energy policy implications at the city level in China. Considering the significant role of final demands, the input-output model and spatial structural decomposition analysis were adopted to evaluate the energy performances and quantify the spatial differences. In 2012, the spatial differences in the energy consumptions were distinct, with the greatest gap between Shanghai and Chongqing, which were mainly driven by the domestic Leontief structure effect and the total final demand effect. In particular, the spatial differences in the embodied energy by net domestic outflow were remarkable. For the relative energy efficiency, Beijing was discovered the best, followed by Tianjin, Shanghai and Chongqing. The spatial differences in their energy intensity were primarily influenced by the energy intensity effect and the domestic Leontief structure effect. In addition, the spatial differences in the aggregate embodied energy intensity by domestic investment were prominent. Inspired by the results, the structure adjustments with respect to the production and final demands and regional cooperation are strongly advised at the city level.
•Distinct spatial differences in energy performances were discovered in China's cities.•Additive and multiplicative spatial structural decomposition analysis are adopted.•Investment and exports were significant to the spatial differences.•Adjustments on structure of production and final demand were suggested. |
doi_str_mv | 10.1016/j.energy.2020.117915 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2438724096</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0360544220310227</els_id><sourcerecordid>2438724096</sourcerecordid><originalsourceid>FETCH-LOGICAL-c334t-a65822f17e9825655cbc5b824c45ea4f12a17374f2618754521144175cd3ed7a3</originalsourceid><addsrcrecordid>eNp9kMFPwyAYxYnRxDn9DzyQeO4ECqX1YGIWpyZLPKhnwuhHR7OWCt2Snf3HZalnT8CX997H-yF0S8mCElrctwvoITTHBSMsjaisqDhDM1rKPCtkKc7RjOQFyQTn7BJdxdgSQkRZVTP08zHo0ekdrp21EKA3ELHr8RSIBwjWh06nMdad7xts_T7gbt874wa9c6NLem_xcut6_YBXwXd448ctHrfJ0TQBGj2mW19jmxRpD3SnRwqOA5jRHSBeowurdxFu_s45-lo9fy5fs_X7y9vyaZ2ZPOdjpgtRMmaphKpkohDCbIzYlIwbLkBzS5mmMpfcsiI1F1wwSjmnUpg6h1rqfI7uptwh-O89xFG1qUz6VFSM56VknFRFUvFJZYKPMYBVQ3CdDkdFiTrhVq2a6KgTbjXhTrbHyQapwcFBUNG4E87ahdRT1d79H_AL0NGLmQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2438724096</pqid></control><display><type>article</type><title>Spatial differences in energy performance among four municipalities of China: From both the aggregate and final demand perspectives</title><source>Elsevier ScienceDirect Journals</source><creator>Yan, Junna ; Su, Bin</creator><creatorcontrib>Yan, Junna ; Su, Bin</creatorcontrib><description>City, which consumes the majority of the total energy consumptions, has great influences on the national energy issues. As the widespread spatial differences, a quantitative energy analysis among multi-city allows exploring the targeted and distinguishing energy policy implications at the city level in China. Considering the significant role of final demands, the input-output model and spatial structural decomposition analysis were adopted to evaluate the energy performances and quantify the spatial differences. In 2012, the spatial differences in the energy consumptions were distinct, with the greatest gap between Shanghai and Chongqing, which were mainly driven by the domestic Leontief structure effect and the total final demand effect. In particular, the spatial differences in the embodied energy by net domestic outflow were remarkable. For the relative energy efficiency, Beijing was discovered the best, followed by Tianjin, Shanghai and Chongqing. The spatial differences in their energy intensity were primarily influenced by the energy intensity effect and the domestic Leontief structure effect. In addition, the spatial differences in the aggregate embodied energy intensity by domestic investment were prominent. Inspired by the results, the structure adjustments with respect to the production and final demands and regional cooperation are strongly advised at the city level.
•Distinct spatial differences in energy performances were discovered in China's cities.•Additive and multiplicative spatial structural decomposition analysis are adopted.•Investment and exports were significant to the spatial differences.•Adjustments on structure of production and final demand were suggested.</description><identifier>ISSN: 0360-5442</identifier><identifier>EISSN: 1873-6785</identifier><identifier>DOI: 10.1016/j.energy.2020.117915</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Aggregate embodied energy intensity ; China ; Embodied energy consumption ; Energy ; Energy consumption ; Energy efficiency ; Energy policy ; Input-output analysis ; Municipalities ; Residential energy ; Spatial analysis ; Spatial structural decomposition analysis</subject><ispartof>Energy (Oxford), 2020-08, Vol.204, p.117915, Article 117915</ispartof><rights>2020 Elsevier Ltd</rights><rights>Copyright Elsevier BV Aug 1, 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c334t-a65822f17e9825655cbc5b824c45ea4f12a17374f2618754521144175cd3ed7a3</citedby><cites>FETCH-LOGICAL-c334t-a65822f17e9825655cbc5b824c45ea4f12a17374f2618754521144175cd3ed7a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0360544220310227$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27903,27904,65309</link.rule.ids></links><search><creatorcontrib>Yan, Junna</creatorcontrib><creatorcontrib>Su, Bin</creatorcontrib><title>Spatial differences in energy performance among four municipalities of China: From both the aggregate and final demand perspectives</title><title>Energy (Oxford)</title><description>City, which consumes the majority of the total energy consumptions, has great influences on the national energy issues. As the widespread spatial differences, a quantitative energy analysis among multi-city allows exploring the targeted and distinguishing energy policy implications at the city level in China. Considering the significant role of final demands, the input-output model and spatial structural decomposition analysis were adopted to evaluate the energy performances and quantify the spatial differences. In 2012, the spatial differences in the energy consumptions were distinct, with the greatest gap between Shanghai and Chongqing, which were mainly driven by the domestic Leontief structure effect and the total final demand effect. In particular, the spatial differences in the embodied energy by net domestic outflow were remarkable. For the relative energy efficiency, Beijing was discovered the best, followed by Tianjin, Shanghai and Chongqing. The spatial differences in their energy intensity were primarily influenced by the energy intensity effect and the domestic Leontief structure effect. In addition, the spatial differences in the aggregate embodied energy intensity by domestic investment were prominent. Inspired by the results, the structure adjustments with respect to the production and final demands and regional cooperation are strongly advised at the city level.
•Distinct spatial differences in energy performances were discovered in China's cities.•Additive and multiplicative spatial structural decomposition analysis are adopted.•Investment and exports were significant to the spatial differences.•Adjustments on structure of production and final demand were suggested.</description><subject>Aggregate embodied energy intensity</subject><subject>China</subject><subject>Embodied energy consumption</subject><subject>Energy</subject><subject>Energy consumption</subject><subject>Energy efficiency</subject><subject>Energy policy</subject><subject>Input-output analysis</subject><subject>Municipalities</subject><subject>Residential energy</subject><subject>Spatial analysis</subject><subject>Spatial structural decomposition analysis</subject><issn>0360-5442</issn><issn>1873-6785</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kMFPwyAYxYnRxDn9DzyQeO4ECqX1YGIWpyZLPKhnwuhHR7OWCt2Snf3HZalnT8CX997H-yF0S8mCElrctwvoITTHBSMsjaisqDhDM1rKPCtkKc7RjOQFyQTn7BJdxdgSQkRZVTP08zHo0ekdrp21EKA3ELHr8RSIBwjWh06nMdad7xts_T7gbt874wa9c6NLem_xcut6_YBXwXd448ctHrfJ0TQBGj2mW19jmxRpD3SnRwqOA5jRHSBeowurdxFu_s45-lo9fy5fs_X7y9vyaZ2ZPOdjpgtRMmaphKpkohDCbIzYlIwbLkBzS5mmMpfcsiI1F1wwSjmnUpg6h1rqfI7uptwh-O89xFG1qUz6VFSM56VknFRFUvFJZYKPMYBVQ3CdDkdFiTrhVq2a6KgTbjXhTrbHyQapwcFBUNG4E87ahdRT1d79H_AL0NGLmQ</recordid><startdate>20200801</startdate><enddate>20200801</enddate><creator>Yan, Junna</creator><creator>Su, Bin</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7ST</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><scope>SOI</scope></search><sort><creationdate>20200801</creationdate><title>Spatial differences in energy performance among four municipalities of China: From both the aggregate and final demand perspectives</title><author>Yan, Junna ; Su, Bin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c334t-a65822f17e9825655cbc5b824c45ea4f12a17374f2618754521144175cd3ed7a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aggregate embodied energy intensity</topic><topic>China</topic><topic>Embodied energy consumption</topic><topic>Energy</topic><topic>Energy consumption</topic><topic>Energy efficiency</topic><topic>Energy policy</topic><topic>Input-output analysis</topic><topic>Municipalities</topic><topic>Residential energy</topic><topic>Spatial analysis</topic><topic>Spatial structural decomposition analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yan, Junna</creatorcontrib><creatorcontrib>Su, Bin</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Environment Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>Energy (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yan, Junna</au><au>Su, Bin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial differences in energy performance among four municipalities of China: From both the aggregate and final demand perspectives</atitle><jtitle>Energy (Oxford)</jtitle><date>2020-08-01</date><risdate>2020</risdate><volume>204</volume><spage>117915</spage><pages>117915-</pages><artnum>117915</artnum><issn>0360-5442</issn><eissn>1873-6785</eissn><abstract>City, which consumes the majority of the total energy consumptions, has great influences on the national energy issues. As the widespread spatial differences, a quantitative energy analysis among multi-city allows exploring the targeted and distinguishing energy policy implications at the city level in China. Considering the significant role of final demands, the input-output model and spatial structural decomposition analysis were adopted to evaluate the energy performances and quantify the spatial differences. In 2012, the spatial differences in the energy consumptions were distinct, with the greatest gap between Shanghai and Chongqing, which were mainly driven by the domestic Leontief structure effect and the total final demand effect. In particular, the spatial differences in the embodied energy by net domestic outflow were remarkable. For the relative energy efficiency, Beijing was discovered the best, followed by Tianjin, Shanghai and Chongqing. The spatial differences in their energy intensity were primarily influenced by the energy intensity effect and the domestic Leontief structure effect. In addition, the spatial differences in the aggregate embodied energy intensity by domestic investment were prominent. Inspired by the results, the structure adjustments with respect to the production and final demands and regional cooperation are strongly advised at the city level.
•Distinct spatial differences in energy performances were discovered in China's cities.•Additive and multiplicative spatial structural decomposition analysis are adopted.•Investment and exports were significant to the spatial differences.•Adjustments on structure of production and final demand were suggested.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.energy.2020.117915</doi></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0360-5442 |
ispartof | Energy (Oxford), 2020-08, Vol.204, p.117915, Article 117915 |
issn | 0360-5442 1873-6785 |
language | eng |
recordid | cdi_proquest_journals_2438724096 |
source | Elsevier ScienceDirect Journals |
subjects | Aggregate embodied energy intensity China Embodied energy consumption Energy Energy consumption Energy efficiency Energy policy Input-output analysis Municipalities Residential energy Spatial analysis Spatial structural decomposition analysis |
title | Spatial differences in energy performance among four municipalities of China: From both the aggregate and final demand perspectives |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T16%3A32%3A08IST&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=Spatial%20differences%20in%20energy%20performance%20among%20four%20municipalities%20of%20China:%20From%20both%20the%20aggregate%20and%20final%20demand%20perspectives&rft.jtitle=Energy%20(Oxford)&rft.au=Yan,%20Junna&rft.date=2020-08-01&rft.volume=204&rft.spage=117915&rft.pages=117915-&rft.artnum=117915&rft.issn=0360-5442&rft.eissn=1873-6785&rft_id=info:doi/10.1016/j.energy.2020.117915&rft_dat=%3Cproquest_cross%3E2438724096%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=2438724096&rft_id=info:pmid/&rft_els_id=S0360544220310227&rfr_iscdi=true |