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Estimating Chinese rural and urban residents’ carbon consumption and its drivers: considering capital formation as a productive input

Author

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  • Ming Cao

    (China University of Mining and Technology)

  • Wei Kang

    (China University of Mining and Technology)

  • Qingren Cao

    (China University of Mining and Technology
    Jiangsu Energy Economics and Management Research Base)

  • M. Jawad Sajid

    (China University of Mining and Technology)

Abstract

Estimating carbon emissions from the perspective of consumption and reducing carbon emission by guiding residents’ consumption is paid more and more attention by some countries and organizations. This study by considering the capital formation as a productive input of final consumer products estimates the carbon consumption of Chinese residents. Furthermore, it explores the driving factors of carbon consumption based on structural decomposition analysis. Results showed that the carbon consumption of Chinese residents (rural and urban) grew steadily. The annual carbon consumption by urban and rural residents increased at a rate of 9.94% and 0.81%, respectively. The average per capita indirect carbon consumption by urban residents during the period was 3.17 times of that by rural residents. Structural decomposition analysis showed that the structure of the urban and rural population and that of the total population are both critical factors promoting carbon consumption by residents, where the former is more powerful. The per capita product consumption caused an increase in the carbon intake of households, while the carbon emission intensity of industrial production decreased the carbon use. Although other factors also contributed to the increase in carbon consumption by residents, their role was comparatively less. This study also provides consumer-focused important carbon emission mitigation policy implications.

Suggested Citation

  • Ming Cao & Wei Kang & Qingren Cao & M. Jawad Sajid, 2020. "Estimating Chinese rural and urban residents’ carbon consumption and its drivers: considering capital formation as a productive input," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5443-5464, August.
    • Handle: RePEc:spr:endesu:v:22:y:2020:i:6:d:10.1007_s10668-019-00432-2
    DOI: 10.1007/s10668-019-00432-2
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    as
    1. Hao, Yu & Wang, Ling'ou & Zhu, Lingyun & Ye, Minjie, 2018. "The dynamic relationship between energy consumption, investment and economic growth in China's rural area: New evidence based on provincial panel data," Energy, Elsevier, vol. 154(C), pages 374-382.
    2. Stefan Giljum & Klaus Hubacek, 2004. "Alternative Approaches of Physical Input-Output Analysis to Estimate Primary Material Inputs of Production and Consumption Activities," Economic Systems Research, Taylor & Francis Journals, vol. 16(3), pages 301-310.
    3. Park, Hi-Chun & Heo, Eunnyeong, 2007. "The direct and indirect household energy requirements in the Republic of Korea from 1980 to 2000--An input-output analysis," Energy Policy, Elsevier, vol. 35(5), pages 2839-2851, May.
    4. Cellura, Maurizio & Longo, Sonia & Mistretta, Marina, 2012. "Application of the Structural Decomposition Analysis to assess the indirect energy consumption and air emission changes related to Italian households consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1135-1145.
    5. Haitao Zheng & Qi Fang & Cheng Wang & Huiwen Wang & Ruoen Ren, 2017. "China’s Carbon Footprint Based on Input-Output Table Series: 1992–2020," Sustainability, MDPI, vol. 9(3), pages 1-17, March.
    6. Cohen, Claude & Lenzen, Manfred & Schaeffer, Roberto, 2005. "Energy requirements of households in Brazil," Energy Policy, Elsevier, vol. 33(4), pages 555-562, March.
    7. Das, Aparna & Paul, Saikat Kumar, 2014. "CO2 emissions from household consumption in India between 1993–94 and 2006–07: A decomposition analysis," Energy Economics, Elsevier, vol. 41(C), pages 90-105.
    8. Zhang, Chuanguo & Tan, Zheng, 2016. "The relationships between population factors and China's carbon emissions: Does population aging matter?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1018-1025.
    9. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    10. Pu, Zhengning & Fu, Jiasha & Zhang, Chi & Shao, Jun, 2018. "Structure decomposition analysis of embodied carbon from transition economies," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 1-12.
    11. Lee, Min-Kyu & Yoo, Seung-Hoon, 2014. "The role of the capture fisheries and aquaculture sectors in the Korean national economy: An input–output analysis," Marine Policy, Elsevier, vol. 44(C), pages 448-456.
    12. Böhringer, Christoph & Bye, Brita & Fæhn, Taran & Rosendahl, Knut Einar, 2017. "Targeted carbon tariffs: Export response, leakage and welfare," Resource and Energy Economics, Elsevier, vol. 50(C), pages 51-73.
    13. Qu, Jiansheng & Zeng, Jingjing & Li, Yan & Wang, Qin & Maraseni, Tek & Zhang, Lihua & Zhang, Zhiqiang & Clarke-Sather, Abigail, 2013. "Household carbon dioxide emissions from peasants and herdsmen in northwestern arid-alpine regions, China," Energy Policy, Elsevier, vol. 57(C), pages 133-140.
    14. Liu, Tiantian & Wang, Qunwei & Su, Bin, 2016. "A review of carbon labeling: Standards, implementation, and impact," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 68-79.
    15. Supasa, Tharinya & Hsiau, Shu-San & Lin, Shih-Mo & Wongsapai, Wongkot & Wu, Jiunn-Chi, 2016. "Has energy conservation been an effective policy for Thailand? An input–output structural decomposition analysis from 1995 to 2010," Energy Policy, Elsevier, vol. 98(C), pages 210-220.
    16. Weber, Christopher L. & Matthews, H. Scott, 2008. "Quantifying the global and distributional aspects of American household carbon footprint," Ecological Economics, Elsevier, vol. 66(2-3), pages 379-391, June.
    17. Carl†Johan Södersten & Richard Wood & Edgar G. Hertwich, 2018. "Environmental Impacts of Capital Formation," Journal of Industrial Ecology, Yale University, vol. 22(1), pages 55-67, February.
    18. Bin Su & B. W. Ang, 2012. "Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues," Economic Systems Research, Taylor & Francis Journals, vol. 24(3), pages 299-317, March.
    19. Huang, Fei & Zhou, Dequn & Wang, Qunwei & Hang, Ye, 2019. "Decomposition and attribution analysis of the transport sector’s carbon dioxide intensity change in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 343-358.
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    Cited by:

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    5. Yi Chen & Yinrong Chen & Kun Chen & Min Liu, 2023. "Research Progress and Hotspot Analysis of Residential Carbon Emissions Based on CiteSpace Software," IJERPH, MDPI, vol. 20(3), pages 1-19, January.

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