Shao, Ling, Li, Yuan, Feng, Kuishuang, Meng, Jing, Shan, Yuli and Guan, Dabo (2018) Carbon emission imbalances and the structural paths of Chinese regions. Applied Energy, 215. pp. 396-404. ISSN 0306-2619
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Abstract
As 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.
Item Type: | Article |
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Uncontrolled Keywords: | carbon emission imbalance,carbon emission pathways,consumption-based carbon emissions,production-based carbon emissions,structural path analysis |
Faculty \ School: | Faculty of Social Sciences > School of Global Development (formerly School of International Development) Faculty of Science > School of Environmental Sciences |
UEA Research Groups: | Faculty of Social Sciences > Research Centres > Water Security Research Centre |
Related URLs: | |
Depositing User: | Pure Connector |
Date Deposited: | 13 Apr 2018 16:30 |
Last Modified: | 22 Oct 2022 03:35 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/66763 |
DOI: | 10.1016/j.apenergy.2018.01.090 |
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