How will Chinese cities reduce their carbon emissions? Evidence from spatial differences

被引:0
|
作者
Junna Yan
Zhonghua Zhang
Mingli Chen
Tao Lin
Ke Yuan
机构
[1] Tianjin University of Finance and Economics,Business School
[2] Tsinghua University,School of Environment
[3] Tianjin Chengjian University,School of Economics and Management
[4] University of International Business and Economics,Academy of China Open Economy Studies
关键词
Leontief input–output model; Ghosh input–output model; Spatial structural decomposition analysis; Municipalities; CO; emission; China;
D O I
暂无
中图分类号
学科分类号
摘要
Urban regions are the dominant carbon emitter in China. Although the role of urban regions is a crucial concern in peaking China’s carbon emission in 2030 or earlier, there were little focus set to the driving factors among urban regions from spatial differences. To excavate more effective abatement strategies to China’s cities, this paper improved the environmental Leontief and Ghosh input–output models and structural decomposition analysis to investigate the driving factors of the spatial differences in the CO2 emissions among four municipalities. The results released that the increasing enlarged spatial differences of CO2 emission were significant. In general, the spatial differences were dramatically influenced by the per capita final demand level from the demand perspective and the sectoral energy intensity from the supply perspective. In particular, the structural factors presented an increasingly critical role. Inspired by the results, the city level “common but distinct” policy implications were formulated.
引用
收藏
页码:72461 / 72479
页数:18
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