TY - JOUR
T1 - The effect of urbanization on carbon dioxide emissions efficiency in the Yangtze River Delta, China
AU - Li, Jianbao
AU - Huang, Xianjin
AU - Kwan, Mei Po
AU - Yang, Hong
AU - Chuai, Xiaowei
N1 - Funding Information:
This study is funded by the National Social Science Foundation of China ( 17ZDA061 ), the Clean Development Mechanism (CDM) projects of China (No. 2012065 ), the National Natural Science Foundation of China (No. 41571162 and No. 41401640 ), and the Ministry of Education Humanities and Social Science Fund of China (No. 14YJCZH015 ). This research was also supported in part by the National Natural Science Foundation of China (No. 41529101 ) and by the grant 1-ZE24 (Project of Strategic Importance) from the Hong Kong Polytechnic University .
Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/7/1
Y1 - 2018/7/1
N2 - Cities have been one of the most important areas of CO2 emissions. It is increasingly important to research the effect of urbanization on CO2 emissions, especially in large emerging and developing economies, due to the indispensable need for understanding the effect of urbanization on CO2 emissions, evaluating carbon reduction tasks and providing the scientific basis for low-carbon urbanization. Utilizing a balanced panel dataset in the Yangtze River Delta (YRD), China, during the period of 2000–2010, this paper employed data envelopment analysis (DEA) window analysis and a spatial lag panel Tobit model to investigate the effect of urbanization on CO2 emissions efficiency (the ratio of the target CO2 emissions to the actual CO2 emissions). The results show that the average CO2 emissions efficiency was 0.959 in 2010, and CO2 emissions efficiency ranged from 0.816 to 1 and exhibited spatial clustering in the region. The larger potential of CO2 emissions reduction appeared in Zhenjiang and Yangzhou, indicating that more CO2 emissions reduction tasks should be allocated to these two cities. Urbanization has negative effects on improving CO2 emissions efficiency, and there is a U-curve relation between CO2 emissions efficiency and urbanization, indicating that CO2 emissions efficiency decreases at the early stage of urbanization, then increases when urbanization reach a high level. There is spatial spillover effect among the prefecture-level cities, suggesting that different prefecture-level governments should coordinate with each other to improve CO2 emissions efficiency in the whole area. Gross domestic product (GDP) per capita also plays a markedly positive role in improving CO2 emissions efficiency. This research highlights the effect of urbanization on CO2 emissions efficiency and the importance of improving CO2 emissions efficiency in developing countries.
AB - Cities have been one of the most important areas of CO2 emissions. It is increasingly important to research the effect of urbanization on CO2 emissions, especially in large emerging and developing economies, due to the indispensable need for understanding the effect of urbanization on CO2 emissions, evaluating carbon reduction tasks and providing the scientific basis for low-carbon urbanization. Utilizing a balanced panel dataset in the Yangtze River Delta (YRD), China, during the period of 2000–2010, this paper employed data envelopment analysis (DEA) window analysis and a spatial lag panel Tobit model to investigate the effect of urbanization on CO2 emissions efficiency (the ratio of the target CO2 emissions to the actual CO2 emissions). The results show that the average CO2 emissions efficiency was 0.959 in 2010, and CO2 emissions efficiency ranged from 0.816 to 1 and exhibited spatial clustering in the region. The larger potential of CO2 emissions reduction appeared in Zhenjiang and Yangzhou, indicating that more CO2 emissions reduction tasks should be allocated to these two cities. Urbanization has negative effects on improving CO2 emissions efficiency, and there is a U-curve relation between CO2 emissions efficiency and urbanization, indicating that CO2 emissions efficiency decreases at the early stage of urbanization, then increases when urbanization reach a high level. There is spatial spillover effect among the prefecture-level cities, suggesting that different prefecture-level governments should coordinate with each other to improve CO2 emissions efficiency in the whole area. Gross domestic product (GDP) per capita also plays a markedly positive role in improving CO2 emissions efficiency. This research highlights the effect of urbanization on CO2 emissions efficiency and the importance of improving CO2 emissions efficiency in developing countries.
KW - CO emissions efficiency
KW - Data envelopment analysis window analysis
KW - Spatial lag panel Tobit model
KW - Urbanization
KW - Yangtze River Delta
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U2 - 10.1016/j.jclepro.2018.03.198
DO - 10.1016/j.jclepro.2018.03.198
M3 - Article
C2 - 32288345
AN - SCOPUS:85052133590
SN - 0959-6526
VL - 188
SP - 38
EP - 48
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
ER -