Spatio-temporal Characteristics and Driving Factors of the Coupling Coordination Degree Between the Pollution-Carbon Reduction,and the Green Expansion and Economic Growth in China
This article constructs the evaluation index systems of the synergy level of pollution-carbon reduction,and the index of green expansion and economic growth.Based on the panel data of 31 provincial-level regions in China from 2011 to 2022,it investigates the spatio-temporal evolution characteristics and driving factors of the coupling coordination degree between the pollution-carbon reduction,and the green expansion and economic growth in China using the methods of game theory combination weighting method,coupling coordination degree model,multi-scale geographical weighted regression model.The research indicates that:1)From 2011 to 2022,the overall coupling coordination degree between the pollution-carbon reduction,and the green expansion and economic growth showed an upward trend in provincial-level regions of China,rising from the stage of mild imbalance to the stage of barely coordinated.The spatial distribution of coupling coordination degree from high to low is the eastern,central,northeastern,and western regions,with the leading advantage of the eastern region being obvious and gradually expanding.2)The coupling coordination degree between the pollution-carbon reduction,and the green expansion and economic growth showed the characteristics of spatial solidification and dynamic changes from 2011 to 2022,with a few provinces always at the same stage of coupling coordination and most rising to the stage of barely coordinated and above.3)Energy consumption structure exerts greater driving effect on the coupling coordination degree in the northeast China and Beijing-Tianjin-Hebei regions,environmental regulation intensity plays a greater driving role in the coupling coordination degree in north China,transportation structure plays a greater role in driving the coupling coordination in the eastern coastal region,population density has a larger driving effect on the coupling coordination in central and southern China,while the positive effect of energy utilization efficiency basically covers all provincial-level samples.
NETL
NSTL
万方数据
