[Interactive Response and Collaborative Evolution Characteristics of Carbon Reduction and Economic Growth in Chinese...

Realizing the coordinated progress of carbon reduction and economic growth is an inevitable choice for China to promote low-carbon transformation and development. This article is based on panel data from 282 prefecture level and above cities from 2006 to 2022. Using the PVAR model to clarify the interaction between carbon emissions and economic growth， the modified Gruber Lloyd index is used to measure the degree of synergy between the two. ArcGIS and other tools are used to visualize the temporal characteristics and spatial distribution of the coordinated development of urban carbon emission reduction and economic growth. Kernel density estimation method is used to reveal its distribution dynamics and evolution rules， and the Dagum Gini coefficient and its subgroup decomposition method are used to explore the overall differences and their sources. The results indicated that： ① From the perspective of interactive relationships， both carbon emissions and economic growth had self-reinforcing mechanisms， but their cumulative effects gradually weakened. The impact of economic growth on carbon emissions conformed to the inverted "U" shape of the Environmental Kuznets Curve， while carbon emissions exhibited long-term negative effects on economic growth. In terms of spatiotemporal characteristics， the synergy level between urban carbon reduction and economic growth showed a significant upward trend， with an increase of 24.17% during the investigation period. The spatial distribution characteristics gradually evolved into a gradient distribution of "low in the west and high in the east." In terms of dynamic evolution， the core density curve of the synergy level between carbon emission reduction and economic growth in cities across the country and the four major regions generally shifted to the right， with the main peak height first increasing and then decreasing and the width widening. The phenomenon of a right tail was obvious， mainly in the form of a single peak， indicating that the synergy level in various regions improved. However， the overall differences within the regions widened， and the degree of dispersion intensified. There has not yet been a significant multipolar differentiation phenomenon. From the perspective of regional differences， the overall Gini coefficient of the country showed a slight fluctuation and upward trend， indicating that the differences in carbon reduction and economic growth synergy among Chinese cities expanded， but at the same time， they also maintained a relative balance. The overall differences within and between the four major regions also increased， but the dynamic characteristics of various regions were significantly different， and inter-regional differences constituted the main source of overall differences. The research conclusion is beneficial for each region to clarify its own advantages and shortcomings and to achieve low-carbon transformation and development according to local conditions.