Spatiotemporal effects of renewable energy technology innovation on industrial cleaner production: A geographically temporally weighted analysis

• Published in: Journal of cleaner production 2021-08, Vol.312, p.127783, Article 127783
• Main Authors: Zhu, Yongfeng, Wang, Zilong, Zhu, Lingling
• Format: Article
• Language: English
• Subjects: China; Geographically temporally weighted analysis; Industrial pollution; Pollution haven hypothesis; Renewable energy technology innovation
• ISSN: 0959-6526; 1879-1786
• DOI: 10.1016/j.jclepro.2021.127783

Industrial pollution closely related to human health is a growing global problem. Most studies have examined whether technological innovation contributes to increased environmental performance, without detailed investigation of the effects of renewable energy technology innovation (RETI) on industrial pollution. Using the Geographically Temporally Weighted Regression (GTWR), this study explores how RETI affects industrial pollution from a spatial heterogeneity perspective. The results show that, first, industrial pollution in one area was related to the industrial pollution in adjacent areas. Second, RETI would contribute to cleaner industrial production. Third, the influence of RETI on industrial pollutant varied from province to province in China. Based on these results, some suggestions for controlling industrial pollution were put forward. [Display omitted] •Industrial pollution in the North China Plain was more serious than in western China.•Renewable energy technology innovation (RETI) would contribute to cleaner industrial production.•The pollution reduction effects of RETI were small in southeast China, but large in western and northern China.