Spatial correlation network, regional differentiation and convergence of inclusive green development in China

Inclusive, green and sustainable development is the key to building a beautiful China. Based on the connotation of inclusive green development in the New Era, this paper constructs a multidimensional index system covering inclusive green wealth, inclusive green welfare and inclusive green sustainability, measures the level of inclusive green development in China from 2005 to 2021, and explores its spatio-temporal evolution characteristics, spatial correlation network, regional differentiation and dynamic convergence mechanism. The results show that: (1) The level of inclusive green development in China continues to improve, showing a hierarchical spatial distribution pattern of "East>West>Central>Northeast" in the east-west direction, and the north-south direction is consistent with the economic development pattern of "stronger in the south and weaker in the north". (2) The spatial correlation network of China's inclusive green development has the characteristics of multi-node, multi-thread interweaving, and the coexistence of spatial adjacent correlation and cross-regional correlation. At the same time, it presents a "spider web" structure, and the spatial correlation between provinces needs to be further enhanced. (3) The regional differences in China's inclusive green development level tend to converge, and the polarization phenomenon is weakened. The inter-regional differences are the main source of the spatial differences in the inclusive green development level in the east-west direction. The combination of super-variable density and intra-regional differences significantly affects the spatial differences in the inclusive green development level in the north-south direction. (4) The level of inclusive green development in China has remarkable characteristics of σ convergence, spatial absolute β convergence, and spatial conditional β convergence. Economic and social factors such as the level of economic development, the level of government intervention, the upgrading and rationalization of industrial structure have regional heterogeneity on the impact of inclusive green development. The research conclusions are of great significance for narrowing regional disparities, building a balanced spatial pattern of green and inclusive development, and promoting high-quality development and the realization of "dual carbon" goals.