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Article: Carbon emission imbalances and the structural paths of Chinese regions

TitleCarbon emission imbalances and the structural paths of Chinese regions
Authors
KeywordsCarbon emission imbalance
Carbon emission pathways
Consumption-based carbon emissions
Multi-regional input-output analysis
Production-based carbon emissions
Structural path analysis
Issue Date2018
Citation
Applied Energy, 2018, v. 215, p. 396-404 How to Cite?
AbstractAs the Chinese regions become more and more connected to each other and foreign countries, this study aims to address carbon imbalance and outsourcing issues in China. Using a production-based carbon emission inventory and a China-global multi-regional input-output model, this study estimates the consumption-based carbon emissions in 30 Chinese regions in 2007 and 2010. Our results reveal that the carbon imbalances of most Chinese provinces and cities have decreased between 2007 and 2010, but disparities in the regional per capita carbon footprint have widened. Our Structural Path Analysis (SPA) results shows that most Chinese regions have higher ratios of both imported (to consumption-based) and exported (to production-based) carbon emissions in further upstream supplier tiers than that of direct imports and exports in the first tier, thus it's vital to trace emissions in the upstream supply chain to understand emission outsourcing. Our result from four case study provinces suggests that Beijing should import more electricity products from nearby Hebei and Shandong rather than Inner Mongolia to lower its consumption-based carbon emissions given the smaller emission coefficients of their electricity production.
Persistent Identifierhttp://hdl.handle.net/10722/369301
ISSN
2023 Impact Factor: 10.1
2023 SCImago Journal Rankings: 2.820

 

DC FieldValueLanguage
dc.contributor.authorShao, Ling-
dc.contributor.authorLi, Yuan-
dc.contributor.authorFeng, Kuishuang-
dc.contributor.authorMeng, Jing-
dc.contributor.authorShan, Yuli-
dc.contributor.authorGuan, Dabo-
dc.date.accessioned2026-01-22T06:16:25Z-
dc.date.available2026-01-22T06:16:25Z-
dc.date.issued2018-
dc.identifier.citationApplied Energy, 2018, v. 215, p. 396-404-
dc.identifier.issn0306-2619-
dc.identifier.urihttp://hdl.handle.net/10722/369301-
dc.description.abstractAs the Chinese regions become more and more connected to each other and foreign countries, this study aims to address carbon imbalance and outsourcing issues in China. Using a production-based carbon emission inventory and a China-global multi-regional input-output model, this study estimates the consumption-based carbon emissions in 30 Chinese regions in 2007 and 2010. Our results reveal that the carbon imbalances of most Chinese provinces and cities have decreased between 2007 and 2010, but disparities in the regional per capita carbon footprint have widened. Our Structural Path Analysis (SPA) results shows that most Chinese regions have higher ratios of both imported (to consumption-based) and exported (to production-based) carbon emissions in further upstream supplier tiers than that of direct imports and exports in the first tier, thus it's vital to trace emissions in the upstream supply chain to understand emission outsourcing. Our result from four case study provinces suggests that Beijing should import more electricity products from nearby Hebei and Shandong rather than Inner Mongolia to lower its consumption-based carbon emissions given the smaller emission coefficients of their electricity production.-
dc.languageeng-
dc.relation.ispartofApplied Energy-
dc.subjectCarbon emission imbalance-
dc.subjectCarbon emission pathways-
dc.subjectConsumption-based carbon emissions-
dc.subjectMulti-regional input-output analysis-
dc.subjectProduction-based carbon emissions-
dc.subjectStructural path analysis-
dc.titleCarbon emission imbalances and the structural paths of Chinese regions-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.apenergy.2018.01.090-
dc.identifier.scopuseid_2-s2.0-85041864375-
dc.identifier.volume215-
dc.identifier.spage396-
dc.identifier.epage404-

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