中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Impacts of industrial structure and technical progress on carbon emission intensity: Evidence from 281 cities in China

文献类型:期刊论文

作者Zhang, Fan2,5; Deng, Xiangzheng2,4,5,6; Phillips, Fred4,7; Fang, Chuanglin3,5; Wang, Chao1
刊名TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
出版日期2020-05-01
卷号154页码:10
关键词Carbon emission intensity (CEI) Industrial structure Technical progress Dynamic spatial panel model Prefecture-level cities China
ISSN号0040-1625
DOI10.1016/j.techfore.2020.119949
通讯作者Deng, Xiangzheng(dengxz@igsnrr.ac.cn)
英文摘要In the context of global climate change and rapid urbanization, the low-carbon economy has become the fundamental means of achieving sustainable development. To find an effective solution to reduce carbon emissions, it is important to identify the dominant factors contributing to carbon emission intensity (CEI). Based on refined indicators and a dynamic spatial panel model, we build a comprehensive framework to quantify the impact of the industrial structure and technical progress on the CEI and conduct empirical research on 281 prefecture-level cities in China during 2006-2016. The results show that both spatial autocorrelation and heterogeneity of CEI values are significant and positive among cities. Technical change and efficiency improvements are the dominant factors behind CEI change. Technical progress plays a significant role in reducing the CEI, whereas the carbon emissions rebound effect decreases these positive impacts. Further, the combined effect of industrial structure optimization and technical progress on reducing carbon intensity is not significant as we have expected. Based on our findings, we suggest specific, targeted policies to reduce CEI, including promoting regional green technology, focusing on combining green technologies with green cities, formulating different urban development strategies and strengthening cooperation among cities.
WOS关键词CO2 EMISSIONS ; SPATIAL HETEROGENEITY ; ENERGY-CONSUMPTION ; ECONOMIC-GROWTH ; DIOXIDE EMISSIONS ; KUZNETS CURVE ; URBANIZATION ; PERFORMANCE ; EFFICIENCY ; CITY
资助项目National Key Research and Development Program of China[2016YFA0602502]
WOS研究方向Business & Economics ; Public Administration
语种英语
WOS记录号WOS:000527367600024
出版者ELSEVIER SCIENCE INC
资助机构National Key Research and Development Program of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/159826]  
专题中国科学院地理科学与资源研究所
通讯作者Deng, Xiangzheng
作者单位1.Beijing Normal Univ, State Key Lab Water Environm Simulat, Sch Environm, Beijing 100875, Peoples R China
2.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
3.Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100149, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
6.Chinese Acad Sci, Ctr Chinese Agr Policy, Beijing 100101, Peoples R China
7.Univ New Mexico, Albuquerque, NM 87131 USA
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Zhang, Fan,Deng, Xiangzheng,Phillips, Fred,et al. Impacts of industrial structure and technical progress on carbon emission intensity: Evidence from 281 cities in China[J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE,2020,154:10.
APA Zhang, Fan,Deng, Xiangzheng,Phillips, Fred,Fang, Chuanglin,&Wang, Chao.(2020).Impacts of industrial structure and technical progress on carbon emission intensity: Evidence from 281 cities in China.TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE,154,10.
MLA Zhang, Fan,et al."Impacts of industrial structure and technical progress on carbon emission intensity: Evidence from 281 cities in China".TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE 154(2020):10.

入库方式: OAI收割

来源:地理科学与资源研究所

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