Empirical analysis and effectiveness research of regional collaborative governance of haze pollution based on panel data from 284 prefecture-level cities in China
Regional collaborative governance is an important aspect for achieving green development,yet its governance effectiveness still requires further investigation.based on panel data from 284 prefecture-level cities,combined Exploring Spatial Data Analysis and Grey Relational Analysis,quantitative data on policy synergy are obtained.The regression discontinuity design is established to investigate the effectiveness of collaborative governance on haze control.The social network analysis is used to zone the collaborative governance,and the GTWR is used to study the heterogeneity of governance effectiveness.The results indicate that:1)Regional collaboration is an effective method for achieving haze pollution control,which can significantly reduce pollution.2)China can be divided into 10 collaborative governance zones.3)The regional collaboration will exhibit better governance effects,when policies are strict.The collaborative governance effect in the eastern coastal regions is better than in other regions.Therefore,we propose that prefecture-level governments can strengthen the effect of policy coordination,but this process cannot proceed without central government supervision to mitigate unfavorable factors and other related policy recommendations,aiming to enhance policy implementation effectiveness and achieve effective pollution control.
regional collaborative governancehaze pollutionzoning of governance regionsspatial-temporal heterogeneityregression discontinuity design