Is the “pollution haven hypothesis” valid for China’s carbon trading system? A re-examination based on inter-provincial carbon emission transfer
Is the “pollution haven hypothesis” valid for China’s carbon trading system? A re-examination based on inter-provincial carbon emission transfer
复制标题
“污染天堂假说”对于中国的碳交易体系是否有效?
DOI:
10.1007/s11356-022-18737-7
复制
发表时间:
2022-02
影响因子:
5.8
通讯作者:
Yuanyuan Li
中科院分区:
文献类型:
--
作者:
Xin Nie;Zhoupeng Chen;Han Wang;Jianxian Wu;Xingyi Wu;Bo Lu;Li Qiu;Yuanyuan Li
In recent years, China had released various environmental regulations in order to respond climate change and corresponding environmental issues. However, due to imbalanced economic development and industrial structure, different Chinese regions had different enforcement levels on environmental regulations, which led to the regional transfer of pollution-intensive industries. To study the regional disparities on carbon emission transfer, this paper used the propensity score matching-difference in differences method (hereinafter abbreviated as "PSM-DID") to evaluate the mechanism between carbon trading pilot policies and the transfer of pollution-intensive industries. Panel data on 30 Chinese provinces were used to test the validity of the "pollution haven hypothesis," covering the period of 2010-2018. The empirical results showed that under the constraints of established environmental regulation, the pilot policy promoted the transfer of pollution-intensive industries to a certain extent and verified the "pollution haven hypothesis"; the proportion of the secondary sector and energy industry in the pilot areas had been reduced after the pilot policy; on the contrary, the technical level and the economic development level of the pilot provinces and cities had been further improved.
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DOI:
10.5771/0506-7286-1981-1-95
发表时间:
1981
期刊:
--
影响因子:
--
作者:
Hope Johnson;Janice M. Johnson
通讯作者:
Hope Johnson;Janice M. Johnson
影响因子:
4.6
作者:
Johannes Jarke;Grischa Perino
通讯作者:
Johannes Jarke;Grischa Perino
影响因子:
11.2
作者:
D. Pappas;K. Chalvatzis;D. Guan;Alexis Ioannidis
通讯作者:
D. Pappas;K. Chalvatzis;D. Guan;Alexis Ioannidis
影响因子:
--
作者:
F. Candau;E. Dienesch
通讯作者:
F. Candau;E. Dienesch
影响因子:
6.9
作者:
Fu, Yang;He, Chenyang;Luo, Ling
通讯作者:
Luo, Ling