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中国沙漠 ›› 2023, Vol. 43 ›› Issue (5): 176-185.DOI: 10.7522/j.issn.1000-694X.2023.00090

• • 上一篇    下一篇

省级层面碳排放估算及减排路径方法研究

杨静1,2,4(), 郭群1,3,4()   

  1. 1.中国科学院地理科学与资源研究所 生态网络观测与模拟重点实验室,北京 100101
    2.中国科学院大学,中丹学院,北京 100049
    3.中国科学院大学,资源与环境学院,北京 100049
    4.国家生态科学数据中心,北京 100101
  • 收稿日期:2023-03-21 修回日期:2023-06-01 出版日期:2023-09-20 发布日期:2023-09-27
  • 通讯作者: 郭群
  • 作者简介:郭群(E-mail: guoq@igsnrr.ac.cn
    杨静(1999—),女,河南南阳人,硕士研究生,主要从事碳减排与可持续发展研究。E-mail: yangjing21@mails.ucas.ac.cn
  • 基金资助:
    美丽中国生态文明建设科技工程专项(XDA23060205);国家自然科学基金项目(3217155)

Study on carbon emission estimation methods and emission reduction pathways at provincial level

Jing Yang1,2,4(), Qun Guo1,3,4()   

  1. 1.Key Laboratory of Ecosystem Network Observation and Modeling,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China
    2.Sino-Danish College, University of Chinese Academy of Sciences,Beijing 100049,China
    3.College of Resources and Environment, University of Chinese Academy of Sciences,Beijing 100049,China
    4.National Ecosystem Science Data Center,Beijing 100101,China
  • Received:2023-03-21 Revised:2023-06-01 Online:2023-09-20 Published:2023-09-27
  • Contact: Qun Guo

摘要:

从省级层面研究碳排放年际变化进而探讨减排路径对制定碳减排措施和实现“双碳”目标具有重要意义。以西北典型干旱省份宁夏为例,综合对数平均迪氏指数分解、相关分析、脱钩分析等方法分析碳排放的多年变化趋势、影响因素及减排路径。结果表明:(1)宁夏年碳排放量、人均碳排放量及单位面积碳排放量均逐年增加,而碳排放强度呈现出先升后降又回升的波动趋势。(2)经济和产业结构是年碳排放量增加的主要影响因素,能源结构和能源强度对碳排放增长具有一定的抑制作用。(3)十大高排放行业主要利用热值低且碳排放高的原煤等能源,导致宁夏碳排放和GDP仍未脱钩,但脱钩的行业数量在增加。本研究采用年碳排放量、碳排放强度、人均碳排放量及单位面积碳排放量等多个指标全面服务于碳达峰、产业结构优化、碳公平等目的,依据主要影响因素、细分行业分类及能流分析,从产业结构优化和能源结构调整等角度提供有效的碳减排路径。研究结果将为“双碳”目标下省级层面绿色发展规划措施的制定提供科学支持。

关键词: 碳排放, 影响因素, 产业分析, 减排路径

Abstract:

The interannual variation of carbon emissions and the reduction pathways at the provincial level are important to formulate carbon reduction measures and achieve the "goal of Carbon Peak and Carbon Neutrality (dual carbon goals)". By conducting jointly LMDI, correlation, and decoupling analysis, this study takes Ningxia, a typical arid province in Northwest China, as an example, and analyse the multi-year changes of carbon emissions, the influencing factors and the emission reduction pathways. The results show that (1) the annual carbon emissions and carbon emissions per capita and per unit area of Ningxia are all increasing with year, while the carbon emission intensity shows a fluctuating trend of first rising, then falling and then rising again. (2) GDP and energy intensity are the main influencing factors on the increase in annual carbon emissions, while energy structure and energy intensity have a dampening effect on the growth of carbon emissions. (3) It is found that the ten high-emission industries mainly use energy such as raw coal, which has a low calorific value and high carbon emissions, which has resulted in Ningxia's carbon emissions still not being decoupled from GDP, but the number of decoupled sectors is increasing. This study uses various indicators such as annual carbon emissions, carbon intensity and carbon emissions per capita and per unit area to serve the purposes of carbon peak attainment, industrial structure optimisation and carbon equity. Based on the main influencing factors, industry classification, and energy flow analysis, this study can provide efficient carbon reduction pathways from industrial structure optimisation and energy restructuring. This study will also provide scientific support for green development planning measures at the provincial level under the "dual carbon goals".

Key words: carbon emission, influencing factors, industry analysis, emission reduction pathways

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