面板数据
国内生产总值
中国
稳健性(进化)
污染
环境治理
空气污染
环境质量
业务
自然资源经济学
经济
政府(语言学)
环境污染
公司治理
环境保护
环境科学
经济增长
计量经济学
地理
政治学
语言学
财务
生态学
法学
基因
化学
有机化学
考古
生物化学
生物
哲学
作者
Jiandong Chen,Jie Qi,Ming Gao,Yijing Li,Malin Song
标识
DOI:10.3846/tede.2021.14875
摘要
Air pollution control is crucial for promoting the modernization of governance systems and efficiency. To address the subjective contrived factors and errors in the gross domestic product (GDP) data in traditional statistical almanacs, our study aims to construct a panel data model of 287 prefecture-level cities for the period from 1998–2016 (using objective nighttime light data). We also used government work report words related to environmental regulation to characterize the constraints of government environmental regulations. For this purpose, we used instrumental variables (to explore the relationship and interaction between air pollution and economic growth) and a model setting, with which we carried out regression analysis and robustness tests; the findings were validated using a transmission mechanism hypothesis. We found that that economic growth and air pollution positively influence each other and government environmental regulations significantly reduce air pollution. We also found that to achieve high economic development, environmental pollution must be controlled to avoid further damage to human and material capital. Furthermore, government environmental regulations can help improve the environmental comfort level and economic development quality.
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