Wang Lulu, Chen Leyi
School of Economics and Trade, Hunan University, Changsha, 410079, China.
Environ Sci Pollut Res Int. 2022 Dec;29(58):87456-87477. doi: 10.1007/s11356-022-21836-0. Epub 2022 Jul 9.
Haze pollution has been addressed in extensive studies over the last few years. However, the relationship between resource dependence and haze pollution has not been fully investigated. This study focuses on addressing this problem while considering the mediating role of green technology innovation. A panel dataset of 263 prefecture-level cities in China from 2005 to 2018 is used for the analysis. The results show the following: (1) the two-way fixed-effect model reveals that resource dependence contributes significantly to haze pollution, and this finding remains robust across a series of robustness tests. (2) A mediation analysis indicates that resource dependence is unfavorable for green technology innovation, indirectly affecting the alleviation of haze pollution. (3) The results of panel threshold regression suggest that green technology innovation promotes haze reduction in the weak and medium resource dependence stages, whereas this optimization effect disappears in the strong resource dependence stage due to rebound effects. (4) The results of regional heterogeneity demonstrate that the positive effects of resource dependence on haze pollution exist in eastern and western China but not in central China. Based on these results, policy implications are given to reduce haze pollution.
在过去几年中，雾霾污染问题已在广泛研究中得到探讨。然而，资源依赖与雾霾污染之间的关系尚未得到充分研究。本研究聚焦于解决这一问题，同时考虑绿色技术创新的中介作用。分析使用了2005年至2018年中国263个地级市的面板数据集。结果如下：（1）双向固定效应模型显示，资源依赖对雾霾污染有显著影响，这一发现经过一系列稳健性检验后依然稳健。（2）中介效应分析表明，资源依赖不利于绿色技术创新，从而间接影响雾霾污染的缓解。（3）面板门槛回归结果表明，在资源依赖程度较弱和中等阶段，绿色技术创新有助于减少雾霾，而在资源依赖程度较强阶段，由于反弹效应，这种优化效应消失。（4）区域异质性结果表明，资源依赖对雾霾污染的正向影响在中国东部和西部存在，而中部地区不存在。基于这些结果，提出了减少雾霾污染的政策建议。
