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黑龙江省能源碳排放核算及驱动因素分析

Translated title of the contribution: Accounting and driving factors analysis of energy carbon emissions in Heilongjiang Province
  • Hao Dong Liu
  • , Wei Qiu*
  • , Shuang Chen
  • *Corresponding author for this work
  • School of Environment, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Based on the method of the Intergovernmental Panel on Climate Change, it calculated the carbon emissions of energy consumption in Heilongjiang Province from 2005 to 2020. By using the Logarithmic Mean Divisia Index (LMDI) decomposition model and the STIRPAT model, it analyzed the relationship between energy carbon emissions and driving factors such as the economy and population in depth. Scenario simulations were conducted to explore reasonable paths for the future development of Heilongjiang Province. According to the results of the LMDI factor decomposition, the economic level factor had the greatest cumulative effect on energy carbon emissions. Through the STIRPAT model and scenario simulation analysis, the comprehensive scenario was identified as the optimal scenario among the four scenarios. Finally, based on the "dual carbon" goal and research results, it provided the suggestions for relevant regulatory strategies.

Translated title of the contributionAccounting and driving factors analysis of energy carbon emissions in Heilongjiang Province
Original languageChinese (Traditional)
Pages (from-to)4117-4126
Number of pages10
JournalZhongguo Huanjing Kexue/China Environmental Science
Volume44
Issue number7
StatePublished - 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

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