Does environmental regulation limit the income growth of Chinese migrant population? Empirical evidence from the CHIPS

人口 人口经济学 中国 工资 经济 环境法规 劳动经济学 公共经济学 地理 人口学 考古 社会学
作者
Lei Wen,Hongbing Li,Xueying Bian
出处
期刊:Journal of Cleaner Production [Elsevier]
卷期号:434: 140046-140046
标识
DOI:10.1016/j.jclepro.2023.140046
摘要

It is a controversial question of whether environmental regulation can achieve the double dividend of improving environmental quality and increasing employment and income. This paper takes Chinese migrant population as the main research object and uses the China Household Income Projects data (CHIPS) and the emission data of major pollutants at the prefecture-level city jointly. Based on the classic Mincer wage equation, we investigate the impact and mechanisms of environmental regulation on the income of Chinese migrant population. The results show that: (1) The intensity of environmental regulation significantly improves the income level of the migrant population, and for every 1% increase in the intensity of environmental regulation, the wage income of the mobile population will rise by 4.96%. (2) The documented positive effect of environmental regulation is more significant in non-public firms, the eastern regions and high-skilled workers. Conversely, for the female and elderly group, 1% increase in environmental regulations will restrain their income growth by 4.95% and 0.37%, respectively. (3) The influencing mechanisms include both the direct effect of labor demand and the indirect effects of firm performance and technological innovation. (4) we find that 1% increase in environmental regulations respectively raise the income of the low- and moderate-income migrant population by 10.834% and 3.579%, while having no significant impact on the high-income group, thus reducing the income gap of the migrant population. The findings of this paper provide theoretical support and practical evidence for achieving a coordinated development of ecological environmental protection and income improvement for socially disadvantaged groups in China.
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