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

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.

Automated summary

Industrial pollution is a significant global issue with implications for human health. While the impact of technological innovation on environmental performance has been studied, research on the effects of renewable energy technology innovation on industrial pollution is lacking. The study finds that renewable energy technology innovation can lead to cleaner industrial production, but its influence varies by region.