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The Economy-Carbon Nexus in China: A Multi-Regional Input-Output Analysis of the Influence of Sectoral and Regional Development

Author

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  • Xin Yan

    (School of Humanities and Economic Management, China University of Geosciences (Beijing), Beijing 100083, China
    These authors contributed equally to this study and shared first authorship.)

  • Jianping Ge

    (School of Humanities and Economic Management, China University of Geosciences (Beijing), Beijing 100083, China
    These authors contributed equally to this study and shared first authorship.)

Abstract

China has become the world’s largest carbon dioxide (CO 2 ) emitter. Sectoral production activities promote economic development while also adding considerably to national CO 2 emissions. Due to their different sectoral structures, each region shows different levels of economic development and CO 2 emissions. The Chinese government hopes to achieve the dual objectives of economic growth and CO 2 emissions reduction by encouraging those sectors that have high economic influence and low environmental influence. Based on the above background, this study constructed an inter-regional sectoral economic influence coefficient (REIC) and a CO 2 emissions influence coefficient (RCIC) based on the basic multi-regional input-output (MRIO) model to analyse the economy-carbon nexus of 17 sectors in 30 regions in China in 2010. The results showed that most Chinese sectors and regions had low CO 2 emissions influences in 2010. However, some sectors showed negative environmental influences. Specifically, the mining-related sectors showed high CO 2 emissions influence with low economic influence. It is encouraging that some light industry and high-end equipment manufacturing sectors had low CO 2 emissions influence with high economic influence. For regions, geographic location and past preferential policies are the most important factors influencing local economic growth and CO 2 emissions reduction. Most inland regions have low economic influence with high or low CO 2 emissions influence. Meanwhile, most coastal regions showed high economic influence with low CO 2 emissions influence. Finally, we propose some policy implications for sectors and regions.

Suggested Citation

  • Xin Yan & Jianping Ge, 2017. "The Economy-Carbon Nexus in China: A Multi-Regional Input-Output Analysis of the Influence of Sectoral and Regional Development," Energies, MDPI, vol. 10(1), pages 1-28, January.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:1:p:93-:d:87757
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    as
    1. Su, Bin & Huang, H.C. & Ang, B.W. & Zhou, P., 2010. "Input-output analysis of CO2 emissions embodied in trade: The effects of sector aggregation," Energy Economics, Elsevier, vol. 32(1), pages 166-175, January.
    2. Bing Xue & Yong Geng & Katrin Müller & Chengpeng Lu & Wanxia Ren, 2014. "Understanding the Causality between Carbon Dioxide Emission, Fossil Energy Consumption and Economic Growth in Developed Countries: An Empirical Study," Sustainability, MDPI, vol. 6(2), pages 1-9, February.
    3. Liu, Zhu & Geng, Yong & Lindner, Soeren & Guan, Dabo, 2012. "Uncovering China’s greenhouse gas emission from regional and sectoral perspectives," Energy, Elsevier, vol. 45(1), pages 1059-1068.
    4. Kuishuang Feng & Yim Ling Siu & Dabo Guan & Klaus Hubacek, 2012. "Analyzing Drivers of Regional Carbon Dioxide Emissions for China," Journal of Industrial Ecology, Yale University, vol. 16(4), pages 600-611, August.
    5. Su, Bin & Thomson, Elspeth, 2016. "China's carbon emissions embodied in (normal and processing) exports and their driving forces, 2006–2012," Energy Economics, Elsevier, vol. 59(C), pages 414-422.
    6. Su, Bin & Ang, B.W., 2010. "Input-output analysis of CO2 emissions embodied in trade: The effects of spatial aggregation," Ecological Economics, Elsevier, vol. 70(1), pages 10-18, November.
    7. Singh, Sanjay Kumar, 2006. "Future mobility in India: Implications for energy demand and CO2 emission," Transport Policy, Elsevier, vol. 13(5), pages 398-412, September.
    8. Meng, Bo & Xue, Jinjun & Feng, Kuishuang & Guan, Dabo & Fu, Xue, 2013. "China’s inter-regional spillover of carbon emissions and domestic supply chains," Energy Policy, Elsevier, vol. 61(C), pages 1305-1321.
    9. Xu, Bin & Lin, Boqiang, 2015. "Carbon dioxide emissions reduction in China's transport sector: A dynamic VAR (vector autoregression) approach," Energy, Elsevier, vol. 83(C), pages 486-495.
    10. Su, Bin & Ang, B.W., 2014. "Input–output analysis of CO2 emissions embodied in trade: A multi-region model for China," Applied Energy, Elsevier, vol. 114(C), pages 377-384.
    11. Lin, Boqiang & Ouyang, Xiaoling, 2014. "Analysis of energy-related CO2 (carbon dioxide) emissions and reduction potential in the Chinese non-metallic mineral products industry," Energy, Elsevier, vol. 68(C), pages 688-697.
    12. Wang, Yuan & Wang, Wenqin & Mao, Guozhu & Cai, Hua & Zuo, Jian & Wang, Lili & Zhao, Peng, 2013. "Industrial CO2 emissions in China based on the hypothetical extraction method: Linkage analysis," Energy Policy, Elsevier, vol. 62(C), pages 1238-1244.
    13. Ahmad, Ashfaq & Zhao, Yuhuan & Shahbaz, Muhammad & Bano, Sadia & Zhang, Zhonghua & Wang, Song & Liu, Ya, 2016. "Carbon emissions, energy consumption and economic growth: An aggregate and disaggregate analysis of the Indian economy," Energy Policy, Elsevier, vol. 96(C), pages 131-143.
    14. Santosh Kumar Sahu, 2014. "Energy Use Patterns and Firm Performance: Evidence from Indian Industries," Working Papers 2014-092, Madras School of Economics,Chennai,India.
    15. Zhang, Wencheng & Peng, Shuijun & Sun, Chuanwang, 2015. "CO2 emissions in the global supply chains of services: An analysis based on a multi-regional input–output model," Energy Policy, Elsevier, vol. 86(C), pages 93-103.
    16. Su, Bin & Ang, B.W., 2013. "Input–output analysis of CO2 emissions embodied in trade: Competitive versus non-competitive imports," Energy Policy, Elsevier, vol. 56(C), pages 83-87.
    17. Zhang, Zengkai & Guo, Ju'e & Hewings, Geoffrey J.D., 2014. "The effects of direct trade within China on regional and national CO2 emissions," Energy Economics, Elsevier, vol. 46(C), pages 161-175.
    18. Soytas, Ugur & Sari, Ramazan & Ewing, Bradley T., 2007. "Energy consumption, income, and carbon emissions in the United States," Ecological Economics, Elsevier, vol. 62(3-4), pages 482-489, May.
    19. Ping Wang & Bangzhu Zhu, 2016. "Estimating the Contribution of Industry Structure Adjustment to the Carbon Intensity Target: A Case of Guangdong," Sustainability, MDPI, vol. 8(4), pages 1-11, April.
    20. Zhu, Qin & Peng, Xizhe & Wu, Kaiya, 2012. "Calculation and decomposition of indirect carbon emissions from residential consumption in China based on the input–output model," Energy Policy, Elsevier, vol. 48(C), pages 618-626.
    21. Leontief, Wassily, 1970. "Environmental Repercussions and the Economic Structure: An Input-Output Approach," The Review of Economics and Statistics, MIT Press, vol. 52(3), pages 262-271, August.
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    3. David Font Vivanco & Ranran Wang & Edgar Hertwich, 2018. "Nexus Strength: A Novel Metric for Assessing the Global Resource Nexus," Journal of Industrial Ecology, Yale University, vol. 22(6), pages 1473-1486, December.
    4. Yong Shi & Anda Tang & Tongsheng Yao, 2022. "A Study on Inter-Provincial Environmental Pollution Movement in China Based on the Input–Output Method," Energies, MDPI, vol. 15(18), pages 1-19, September.

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