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Research on the Driving Factors of Carbon Dioxide Emissions from the Indirect Energy Consumption of Residents in Guangzhou City—Analysis Based on LMDI Model and Tapio Decoupling Model

In: INTERNET FINANCE AND DIGITAL ECONOMY Advances in Digital Economy and Data Analysis TechnologyThe 2nd International Conference on Internet Finance and Digital Economy, Kuala Lumpur, Malaysia, 19 – 21 August 2022

Author

Listed:
  • Zhoulin Lan
  • Zicen Liao
  • Haoyu He

Abstract

This study selects Guangzhou as the research object based on the carbon emission accounting method in accordance with Guangzhou, using the LMDI model and the Tapio decoupling model to investigate the driving factors of the indirect carbon dioxide emissions of its residential living energy consumption. Research shows that: Guangzhou residential indirect energy consumption accounts for a high proportion of carbon emissions (60%–73%), which is more worthy of attention; its consumption structure needs to be optimized and upgraded to achieve energy conservation and emission reduction; other driving factors other than energy consumption intensity. There is more room for emission reduction; the decoupling relationship between indirect energy consumption carbon emissions and consumption expenditures of residential lives is unstable, and the overall situation is positive. Further, we put forward countermeasures and suggestions to promote the reduction of carbon dioxide emissions from the indirect energy consumption of residents in Guangzhou, guide the optimization and upgrading of the consumption structure, advocate green consumption, promote the carbon inclusive system, control the intensity of energy consumption, promote energy conservation and emission reduction, control population scale and optimize population structure.

Suggested Citation

  • Zhoulin Lan & Zicen Liao & Haoyu He, 2023. "Research on the Driving Factors of Carbon Dioxide Emissions from the Indirect Energy Consumption of Residents in Guangzhou City—Analysis Based on LMDI Model and Tapio Decoupling Model," World Scientific Book Chapters, in: Faruk Balli (ed.), INTERNET FINANCE AND DIGITAL ECONOMY Advances in Digital Economy and Data Analysis TechnologyThe 2nd International Conference on Internet Finance and , chapter 34, pages 467-483, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9789811267505_0034
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    Keywords

    Internet Economy; Online Finance; Financial Engineering; Big Data; Blockchain; Supply Chain; E-commerce;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • G2 - Financial Economics - - Financial Institutions and Services

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