当代财经 ›› 2017, Vol. 0 ›› Issue (03): 304-.

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基于人口与城镇化视角的中国碳排放驱动因素探究

方齐云,陶守来   

  1. (华中科技大学 经济学院,湖北 武汉 430074)
  • 收稿日期:2016-12-28 发布日期:2021-01-21
  • 作者简介:方齐云,华中科技大学教授,华中科技大学张培刚发展研究院研究员,主要从事发展经济学研究;陶守来,华中科技大学张培刚发展研究院研究助理,主要从事发展经济学研究,通讯作者联系方式hustxiaotao@126.com。

Driving Factors of China’s Carbon Emission: From the Perspective of Population and Urbanization

FANG Qi-yun, TAO Shou-lai   

  1. (Huazhong University of Science and Technology, Wuhan 430074, China)
  • Received:2016-12-28 Published:2021-01-21

摘要: 基于人口与城镇化视角,构建了中国碳排放七大驱动因素模型,并采用LMDI分解法计算出各因素的影响效果。研究发现:(1)从变量作用方向来看,对碳排放一直保持正向促进作用的有人口规模、城镇化率、城镇就业率和能源强度,对碳排放保持负向抑制作用的是就业的城乡结构,经济结构和碳排放强度则呈现分阶段正负作用交错的形态;(2)从变量作用效果的大小来看,城镇化率、就业的城乡结构、经济结构和能源强度的影响较为显著,而人口规模、城镇就业率和碳排放强度的影响效果则相对较弱;(3)单一城镇化率的提高带来的碳排放增加不可避免,但是综合考虑城镇化率、城镇人口就业率和就业的城乡结构等影响因素,则城镇化率提高与环境成本降低存在双赢空间。

关键词: 绿色发展,碳排放,城镇化,经济结构

Abstract: From the perspective of population and urbanization, this paper constructs a seven factors model of China’s carbon emission to calculate the contribution of each factor by the LMDI approach. The results reveal that in terms of the action direction of the variables, such factors as population size, rate of urbanization, employment rate in urban areas and energy intensity have a positive correlation with carbon emission, the factor keeps a negative effect on carbon emission is the urban-rural structure of employment, while such factors as economic structure and carbon emission intensity present an interlaced positive-negative effect in stages. In terms of the action effects of the variables, the impact of such factors as the rate of urbanization, urban-rural structure of employment, economic structure and energy intensity is rather significant; while the impact of such factors as population size, urban employment rate and carbon emission intensity is rather weaker. Moreover, it is inevitable that the increasing rate of urbanization will bring about more carbon emission. However, there does exist win-win situations in which the rate of urbanization increases while the environmental cost reduces when such factors as the rate of urbanization, urban employment rate and the urban-rural structure of employment are taken into consideration.

Key words: green development; carbon emission; urbanization; economic structure