Spatial effect analysis of heterogeneous green technology innovations on pollution emission reduction: evidence from...

Based on the provincial panel dataset of the power industry in China from 1997 to 2020, this study employed the dynamic spatial Durbin model (SDM) to investigate the spatial effects of heterogeneous green technology innovations (GTIs) of the power industry chain-clean energy GTIs (GTI1), fossil-fueled GTIs (GTI2), energy-saving GTIs (GTI3), and power transmission technology innovations (GTI4)-on three pollution emission reduction: SO_2, solid waste (SW), and waste water (WW). The empirical results revealed that three pollution emissions showed "path dependent" and "snowball effects." GTI1, GTI2, and GTI3 reduced local SO₂ and SW emissions, while GTI2 and GTI4 had no obvious reduction effects on WW emissions. Different GTIs had the same spatial "symbiotic effects" on SO₂ emission reduction in the short term, showing positive spatial spillover reduction effects. Finally, it is of great significance to make full use of the positive spatial spillover effects of GTIs to promote the regional collaborative linkage of pollutant governance in the power industry.