日本问题研究 ›› 2022, Vol. 36 ›› Issue (1): 19-30.DOI: 10.14156/j.cnki.rbwtyj.2022.01.003

• 经济研究 • 上一篇    下一篇

日本碳排放的地区差距及结构分解

张莹,洪凌华   

  1. 1中国社会科学院 生态文明研究所,北京100710; 2复旦大学 国际关系与公共事务学院,上海200433
  • 收稿日期:2021-05-20 发布日期:2022-03-29
  • 作者简介:张莹,女,经济学博士,中国社会科学院生态文明研究所副研究员,主要从事环境经济学、能源经济学、可持续发展经济学研究。
  • 基金资助:
    国家应对气候变化专项经费项目,中国社会科学院创新工程重大科研规划项目“国家治理体系和治理能力现代化研究”(2019ZDGH014);中国社会科学院生态文明研究所创新工程项目“碳达峰碳中和目标下的绿色发展战略研究”(2021STSB01)

Regional Disparity and Structural Decomposition of Carbon Emissions in Japan

ZHANG Ying1, HONG Ling-hua2   

  1. 1 Research Institute for Ecocivilization, Chinese Academy of Social Sciences, Beijing, 100710; 2 School of International Relations & Public Affairs, Fudan University, Shanghai, 200433, China
  • Received:2021-05-20 Published:2022-03-29

摘要: 日本已经宣布将在2050年实现碳中和,本文基于CEADs数据库中的日本碳排放数据,对日本2007—2015年的县级碳排放总量、人均碳排放和碳排放强度的地区差距进行了Dagum基尼系数分解,并利用方差分解从碳源的角度探究了不同碳排放来源对碳排放地区差距的贡献。研究发现日本的各碳排放指标均呈现明显的地区差异特征,且随时间推移还有扩大趋势。这意味着尽管日本的低碳转型卓有成效,但在地区间低碳发展的进程并不平衡。碳排放总量的地区差距主要来自于八大地区间的差异,而不同地区中县域单位间不平衡的低碳发展水平是导致人均碳排放和碳排放强度地区差距的主要因素。

关键词: 日本, 碳排放, 地区差距, Dagum基尼系数分解, 方差分解

Abstract: Japan has announced that it will achieve carbon neutrality in 2050. Based on the data of Japan’s carbon emissions in CEADs database, this paper decomposes regional disparities in Japan’s total countylevel carbon emissions, per capita carbon emissions, and carbon emission intensity from 2007 to 2015 by Dagum Gini coefficient, and explores the contribution of different carbon emission sources to the regional gap of carbon emissions from the perspective of carbon sources by using Variance Analysis. It is found that the carbon emission indicators of Japan show obvious regional differences, and there is an expanding trend over time. This means that although Japan’s lowcarbon transformation is effective, the processes of lowcarbon development of regions are not harmonious. The regional gap of total carbon emissions mainly comes from the differences among the eight regions, and the unbalanced lowcarbon development level among county units in different regions is the main factor leading to the regional gap of per capita carbon emissions and carbon emission intensity.

Key words: Japan, carbon emissions, regional disparity, Dagum Gini coefficient decomposition, variance decomposition

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