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CO2 Emissions in Beijing: Sectoral Linkages and Demand Drivers

Author

Listed:
  • Hua Liao
  • Celio Andrade
  • Julio Lumbreras
  • Jing Tian

Abstract

Cities contribute to most of the CO2 emissions. And the economic system at city level is much complex due to various linkaged sectors. This paper aims to analyze the economy-wide contribution of sectors and households to CO2 emissions in Beijing (China) by utilizing a semi-closed input-output model integrated with a modified hypothetical extraction method. Results show that, compared with 2005, in 2012 (1) within the entire economic system, interprovincial export caused the largest amount of CO2 emissions [135.50 million tons (Mt)] with the main contributions arising from manufacturing (42.12 Mt); transportation, storage, and post (TSP in short, 29.13 Mt); and urban households (23.57 Mt); (2) across the intermediate input-output system, real estate activities accounted for the largest amount of embodied CO2 intensity (0.07 kg per yuan) and more sectors outsourced CO2; (3) tracing the integrated sector network, CO2 linkages pointed to manufacturing and TSP dominating the internal linkages, manufacturing prominent in mixed linkages, secondary industry leading the net forward linkages, and tertiary industry dominant in terms of net backward linkages, helping control CO2 according to its origin; (4) CO2 emissions induced by household strikingly affected total CO2 emissions in Beijing, mainly coming from income-oriented affects, with a large rural-urban disparity and a similar sectoral distribution pattern. Finally, we propose suggestions on carbon reduction in terms of technological interlinkages, final demand and household participation.

Suggested Citation

  • Hua Liao & Celio Andrade & Julio Lumbreras & Jing Tian, 2018. "CO2 Emissions in Beijing: Sectoral Linkages and Demand Drivers," CEEP-BIT Working Papers 113, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
  • Handle: RePEc:biw:wpaper:113
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    File URL: http://ceep.bit.edu.cn/docs/2018-10/20181012081508967543.pdf
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    More about this item

    Keywords

    CO2 emissions; Semi-closed input-output model; Modified hypothetical extraction method; City; Beijing;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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