南方能源建设 (Sep 2024)

Research on Carbon Emission Accounting and the "Dual Carbon" Transformation Path of Industrial Parks

  • Zhong WANG,
  • Siming MA,
  • Tingting WANG,
  • Wei TAO,
  • Jing XU

DOI
https://doi.org/10.16516/j.ceec.2024.5.20
Journal volume & issue
Vol. 11, no. 5
pp. 191 – 199

Abstract

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[Introduction] As an important carrier of China's industrialization and urbanization, industrial parks not only provide a large amount of infrastructure and public services, but also become the main source of carbon emission in China and an important entry and focus point for achieving China's goals of carbon peaking and carbon neutrality. The paper proposes a theoretical research framework for analyzing the transfer process of carbon emission in industrial parks and optimizing the decision-making process of the "dual carbon" path, in order to achieve the refined management of carbon emission in industrial parks. [Method] Firstly, we analyzed the carbon emission characteristics of energy, industry, construction, transportation, and infrastructure in industrial parks, and established a carbon emission accounting model for industrial parks based on inventory analysis method. Secondly, considering the impact of factors such as gross industrial output value, industrial structure, energy structure, and energy consumption on carbon emission, we established a decomposition model of factors influencing carbon emission based on the STIRPAT method. Finally, we analyzed the mechanism and impact path of digital technology empowering green and low-carbon transformation, and proposed the optimization plan for decision-making of the "dual carbon" path. [Result] Taking Ganzhou economic and technological development zone in Jiangxi Province as the research object, we calculate the carbon emission and carbon emission intensity from 2020 to 2022, identify the main factors influencing the increase of carbon emission, and plan the "dual carbon" transformation path from four aspects: industrial structure, energy structure, policy system, and platform construction. [Conclusion] Research suggests that the proposed model can fully explore the information contained in statistical data of industrial parks and is scientific and effective, providing theoretical support for the decision-making of "dual carbon" transformation path and the construction of industrial internet platform for digital carbon management of industrial parks.

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