[Correlation Characteristics and Driving Factors of Spatial Network of Collaborative Governance Efficiency of Pollution Reduction and Carbon Reduction in the Yellow River Basin].

Abstract

The super-efficiency SBM-DEA model was used to estimate collaborative governance efficiency of pollution reduction and carbon reduction of 77 prefecture level cities in the Yellow River Basin from 2012 to 2022. The modified gravity model and social network analysis method were used to reveal the spatial correlation network structure evolution characteristics and to identify its driving factors. The results showed that： ① The development of the spatial correlation network of collaborative governance efficiency of pollution reduction and carbon reduction in the Yellow River Basin was unbalanced. The overall network density of the Yellow River Basin presented a trend of "downstream > midstream > upstream". ② The node characteristics of the Yellow River Basin network were obvious， and the centrality showed the pattern of "downstream > midstream > upstream". ③ A good circular transmission framework has not yet been formed among the spatial correlation plates of collaborative governance efficiency of pollution reduction and carbon reduction. ④ Under the whole-process governance perspective of "source prevention and control-process control-end blocking"， the rationalization of industrial structure rationalization difference， clean energy replacement difference， green process innovation difference， and environmental regulation difference had an important impact on the spatial correlation network of collaborative governance efficiency of pollution reduction and carbon reduction in the Yellow River Basin. There is still much room for improvement in the spatial closeness of collaborative governance efficiency for pollution reduction and carbon reduction in the Yellow River Basin. It is urgent to build a whole-process closed carbon pollution control chain； strengthen ecological cooperation between the upper， middle， and lower reaches of cities； improve the linkage effect between modules； and promote the coordinated development of ecological civilization in the Yellow River Basin. This study provides policy reference for the establishment and improvement of the cross-regional collaborative improvement mechanism for collaborative governance efficiency of pollution reduction and carbon reduction. The aim is to clarify the spatial relationship between collaborative governance efficiency of pollution reduction and carbon reduction among cities in the Yellow River Basin and to provide theoretical reference for promoting ecological protection and high-quality development in the Yellow River Basin.