Spatio-temporal dynamics and trend forecasting of urban green high-quality development: An examination of 287 cities in China.

ABSTRACT: Facing the dual challenges of economic growth and environmental conservation, advancing urban green high-quality development (UGHQD) is crucial for sustainable urban development. Rooted in the concept of UGHQD, this study develops a multidimensional evaluation indicator system encompassing economic development, social progress, and ecological civilization. By applying spatial autocorrelation analysis, cold and hot spots analysis, standard deviation ellipse, and Kernel density estimation, it examines the spatial distribution and dynamic evolution of UGHQD across China and its four major regions (Eastern, Central, Western, and Northeastern) from 2003 to 2020. It also forecasts the trajectory of UGHQD from 2021 to 2025. The research findings indicate: (1) A steady annual increase in the overa

SUBMITTER: Yu T 

PROVIDER: S-EPMC11990776 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature