Market-oriented environmental regulations, employment adjustment and transfer path: Quasi-experimental evidence from China's carbon emissions trading pilot

被引:27
作者
Bu, Tao [1 ]
Du, Wenhao [2 ]
Tang, Chengxiang [3 ]
Liu, Yahong [1 ]
Wang, Xinyuan [1 ]
Wang, Yueheng [4 ]
Tang, Daisheng [1 ,5 ]
机构
[1] Beijing Jiaotong Univ, Sch Econ & Management, Beijing, Peoples R China
[2] Lanzhou Univ Finance & Econ, Sch Stat, Lanzhou, Peoples R China
[3] Guangzhou Univ, Sch Publ Adm, Guangzhou, Peoples R China
[4] Notre Dame Univ, Fremantle, WA 6959, Australia
[5] Beijing Jiaotong Univ, Beijing Lab Natl Econ Secur Early Warning Engn, Beijing, Peoples R China
关键词
Carbon emission trading; Employment adjustment; Employment transfer; CLEAN-AIR ACT; REALLOCATION EVIDENCE; PROPENSITY SCORE; LABOR DEMAND; IMPACTS; COMPETITIVENESS; PRODUCTIVITY; SCHEME;
D O I
10.1016/j.jclepro.2022.133292
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Following China's pilot program of the released Carbon Emission Trading (CET) in 2011, affected companies were forced to alter their production and operational choices, which had an impact on their labor demand and employment structure. This study examines the employment adjustment effect and employment transfer effect of CET in China using propensity score matching (PSM) and difference-in-differences (DID) method, based on the panel data of Chinese listed companies (2009-2019). We found that China's CET has expanded the scale of employment and changed the employment structure in the pilot regions. The employment adjustment effect of CET mainly comes from the First-tier pilot regions, and it mostly affects the highly educated work force. CET increased the proportion of highly-educated labor through the increase of R&D innovation and investment, while reduced the proportion of production worker employed due to the increase of production cost, it promotes the transfer of labor from underdeveloped regions to First-tier pilot regions.
引用
收藏
页数:16
相关论文
共 42 条
[31]   Carbon emissions trading scheme exploration in China: A multi-agent-based model [J].
Tang, Ling ;
Wu, Jiaqian ;
Yu, Lean ;
Bao, Qin .
ENERGY POLICY, 2015, 81 :152-169
[32]   The Transitional Costs of Sectoral Reallocation: Evidence From the Clean Air Act and the Workforce [J].
Walker, W. Reed .
QUARTERLY JOURNAL OF ECONOMICS, 2013, 128 (04) :1787-1835
[33]   Environmental Regulation and Labor Reallocation: Evidence from the Clean Air Act [J].
Walker, W. Reed .
AMERICAN ECONOMIC REVIEW, 2011, 101 (03) :442-447
[34]   Can a carbon trading system promote the transformation of a low-carbon economy under the framework of the porter hypothesis? -Empirical analysis based on the PSM-DID method [J].
Wang, Han ;
Chen, Zhoupeng ;
Wu, Xingyi ;
Niea, Xin .
ENERGY POLICY, 2019, 129 :930-938
[35]  
WANG Y., 2020, ENERG ECON, V85, DOI DOI 10.1016/j.eneco.2019.104590
[36]   Did carbon trade improve green production performance? Evidence from China [J].
Yang, Lisha ;
Li, Yutianhao ;
Liu, Hongxun .
ENERGY ECONOMICS, 2021, 96
[37]   Does China's carbon emission trading policy have an employment double dividend and a Porter effect? [J].
Yang, Xinyu ;
Jiang, Ping ;
Pan, Yao .
ENERGY POLICY, 2020, 142
[38]   Quantifying regional economic impacts of CO2 intensity targets in China [J].
Zhang, Da ;
Rausch, Sebastian ;
Karplus, Valerie J. ;
Zhang, Xiliang .
ENERGY ECONOMICS, 2013, 40 :687-701
[39]  
Zhang YH, 2016, QUAL QUANT ANAL SCI, P1, DOI [10.1007/s10479-016-2232-2, 10.1007/978-3-319-24160-9]
[40]   How does China's carbon emissions trading (CET) policy affect the investment of CET-covered enterprises? [J].
Zhang, Yue-Jun ;
Wang, Wei .
ENERGY ECONOMICS, 2021, 98