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Modelling Structural Effect and Linkage on Carbon Emissions in China: An Environmentally Extended Semi-Closed Ghosh Input–Output Model

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  • Yongyou Nie

    (School of Economics, Shanghai University, Shanghai 200444, China)

  • Yunhuan Gao

    (School of Economics, Shanghai University, Shanghai 200444, China)

  • He He

    (School of Economics, Shanghai University, Shanghai 200444, China)

Abstract

The carbon emissions of sectors and households enabled by primary inputs have practical significance in reality. Considering the mutual effect between the industrial sector and the household, this paper firstly constructed an environmentally extended semi-closed Ghosh input–output model with an endogenized household sector to analyze the relationship between carbon emissions and the Chinese economy from the supply-side perspective. The structural decomposition analysis and the hypothetical extraction method were remodified to identify the supply-side driving effects of the changes in carbon emissions and investigate the net carbon linkage. The results show that the electricity, gas, and water supply sector was the key sector with the highest carbon emission intensity enabled by primary inputs. The household sector had an above 93% indirect effect of the enabled intensity, with its enabled intensity dropping significantly by more than 55% from 2007 to 2017. The operating surplus and mixed income caused 3214.67 Gt (34.17%) of the enabled emissions in 2017. The supply-side economic activity, measured by the value added per capita, was the main factor of the carbon emission growth, mainly attributed to the development of the manufacturing sector and the electricity, gas, and water supply sector. The emission intensity and allocation structure both brought a decrease in carbon emissions. The electricity, gas, and water supply sector and the manufacturing sector were the major sources of the supply-induced cross-sectoral input emissions, while the commercial and service sector and the household sector were the top source of supply-induced cross-sectoral output emissions. This paper sheds light on the policies of the carbon emission abatement and the adjustment of the allocation structure from the perspective of supply.

Suggested Citation

  • Yongyou Nie & Yunhuan Gao & He He, 2022. "Modelling Structural Effect and Linkage on Carbon Emissions in China: An Environmentally Extended Semi-Closed Ghosh Input–Output Model," Energies, MDPI, vol. 15(17), pages 1-17, August.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6104-:d:895161
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    1. Mattila, Tuomas & Koskela, Sirkka & Seppälä, Jyri & Mäenpää, Ilmo, 2013. "Sensitivity analysis of environmentally extended input–output models as a tool for building scenarios of sustainable development," Ecological Economics, Elsevier, vol. 86(C), pages 148-155.
    2. Mikkola, Hannu J. & Ahokas, Jukka, 2010. "Indirect energy input of agricultural machinery in bioenergy production," Renewable Energy, Elsevier, vol. 35(1), pages 23-28.
    3. He, He & Reynolds, Christian John & Li, Linyang & Boland, John, 2019. "Assessing net energy consumption of Australian economy from 2004–05 to 2014–15: Environmentally-extended input-output analysis, structural decomposition analysis, and linkage analysis," Applied Energy, Elsevier, vol. 240(C), pages 766-777.
    4. Duarte, Rosa & Sanchez-Choliz, Julio & Bielsa, Jorge, 2002. "Water use in the Spanish economy: an input-output approach," Ecological Economics, Elsevier, vol. 43(1), pages 71-85, November.
    5. Zhang, Junjie & Yu, Biying & Wei, Yi-Ming, 2018. "Heterogeneous impacts of households on carbon dioxide emissions in Chinese provinces," Applied Energy, Elsevier, vol. 229(C), pages 236-252.
    6. Erik Dietzenbacher, 2002. "Interregional Multipliers: Looking Backward, Looking Forward," Regional Studies, Taylor & Francis Journals, vol. 36(2), pages 125-136.
    7. Xie, Rui & Wang, Fangfang & Chevallier, Julien & Zhu, Bangzhu & Zhao, Guomei, 2018. "Supply-side structural effects of air pollutant emissions in China: A comparative analysis," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 89-95.
    8. Voigt, Sebastian & De Cian, Enrica & Schymura, Michael & Verdolini, Elena, 2014. "Energy intensity developments in 40 major economies: Structural change or technology improvement?," Energy Economics, Elsevier, vol. 41(C), pages 47-62.
    9. Mi, Zhifu & Zhang, Yunkun & Guan, Dabo & Shan, Yuli & Liu, Zhu & Cong, Ronggang & Yuan, Xiao-Chen & Wei, Yi-Ming, 2016. "Consumption-based emission accounting for Chinese cities," Applied Energy, Elsevier, vol. 184(C), pages 1073-1081.
    10. Liang, Qiao-Mei & Fan, Ying & Wei, Yi-Ming, 2007. "Multi-regional input-output model for regional energy requirements and CO2 emissions in China," Energy Policy, Elsevier, vol. 35(3), pages 1685-1700, March.
    11. Ana-Isabel Guerra & Ferran Sancho, 2010. "A Comparison Of Input-Output Models:Ghosh Reduces To Leontief (But 'Closing' Ghosh Makes It More Plausible)," UFAE and IAE Working Papers 823.10, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    12. Lenzen, Manfred & Moran, Daniel & Bhaduri, Anik & Kanemoto, Keiichiro & Bekchanov, Maksud & Geschke, Arne & Foran, Barney, 2013. "International trade of scarce water," Ecological Economics, Elsevier, vol. 94(C), pages 78-85.
    13. Erik Dietzenbacher & Bart Los, 1998. "Structural Decomposition Techniques: Sense and Sensitivity," Economic Systems Research, Taylor & Francis Journals, vol. 10(4), pages 307-324.
    14. Muhammad Jawad Sajid & Zhang Yu & Syed Abdul Rehman, 2022. "The Coal, Petroleum, and Gas Embedded in the Sectoral Demand-and-Supply Chain: Evidence from China," Sustainability, MDPI, vol. 14(3), pages 1-18, February.
    15. Zhang, Youguo, 2010. "Supply-side structural effect on carbon emissions in China," Energy Economics, Elsevier, vol. 32(1), pages 186-193, January.
    16. Su, Bin & Ang, B.W., 2015. "Multiplicative decomposition of aggregate carbon intensity change using input–output analysis," Applied Energy, Elsevier, vol. 154(C), pages 13-20.
    17. J. S·nchez-ChÛliz & R. Duarte, 2003. "Analysing pollution by way of vertically integrated coefficients, with an application to the water sector in Aragon," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 27(3), pages 433-448, May.
    18. Tang, Baojun & Li, Ru & Yu, Biying & An, Runying & Wei, Yi-Ming, 2018. "How to peak carbon emissions in China's power sector: A regional perspective," Energy Policy, Elsevier, vol. 120(C), pages 365-381.
    19. Wu, Feng & Huang, Ningyu & Zhang, Qian & Qiao, Zhi & Zhan, Ni-ni, 2020. "Multi-province comparison and typology of China’s CO2 emission: A spatial–temporal decomposition approach," Energy, Elsevier, vol. 190(C).
    20. Zhang, Xiaoling & Wang, Yue, 2017. "How to reduce household carbon emissions: A review of experience and policy design considerations," Energy Policy, Elsevier, vol. 102(C), pages 116-124.
    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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