Abstract:

In the context of Chinese-style modernization， exploring the spatiotemporal dynamics of the coupling coordination between green finance and high-quality economic development is considered a prerequisite for achieving the goal of becoming a modernized strong country. In this study， coupling coordination models， Dagum Gini coefficient decomposition， Kernel density estimation， and β-convergence models are employed to measure the coupling coordination degree between green finance and high-quality economic development， thereby comprehensively revealing their spatiotemporal evolution and convergence characteristics. It has been found that the overall coupling coordination degree in China is relatively low， and the development level of green finance is significantly lagging behind that of high-quality economic development. Regional disparities are primarily attributed to super-variable density and intra-regional differences， although the gap between regions is gradually widening. Absolute β-convergence and conditional β-convergence phenomena are observed nationwide and across the three major regions， leading to a situation where overall convergence coexists with a “core-periphery” pattern. It is expected to contribute to the establishment of a collaborative interaction pattern between regional green finance and high-quality economic development， providing a reference basis and policy insights for achieving a green economic transformation.

Key words: green finance, high-quality economic development, coupling coordination, evolution of spatiotemporal patterns, convergence