Spatio-temporal evolution characteristics and influencing factors of environmental welfare performance in Chinese cities

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: Feb. 3, 2025

Background In the process of China’s urbanization, issues such as air pollution, water soil and noise pollution have become increasingly prominent, severely constraining sustainable development cities. The resultant decline in environmental welfare performance (EWP) not only affects residents’ quality life but may also lead to public health issues, increasing healthcare costs, subsequently impacting social stability economic development. Methods This paper incorporates factors closely related welfare, into analytical framework performance. Using Hybrid-Network-DEA model, we measure EWP 240 cities China, then investigate spatial distribution characteristics spatio-temporal evolution patterns EWP. Finally, empirical testing influencing is conducted using econometric methods. Results overall level Chinese from 2004 2019 relatively low, it generally shows a wavy upward trend. Meanwhile, notable regional disparities exist EWP, with highest average east, followed by west, lowest central. main source differences lies inter-regional disparities. greatest internal are found while largest between east west. A pronounced positive autocorrelation observed among Economic development, opening-up, financial digital infrastructure, population density significantly promote local whereas industrial structure transportation exerted opposite effects. Additionally, enhancement neighboring regions notably facilitated infrastructure. Within three major regions, direct indirect effects various exhibit significant differences. Conclusion Based on these insights, suggest comprehensively improving efficiency, narrowing disparities, strengthening agglomeration effects, optimizing structure, support infrastructure construction.

Language: Английский

An Analysis of the Spatial–Temporal Evolution and Influencing Factors of the Coupling Coordination Degree Between the Digital and Real Economies in China

Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3384 - 3384

Published: April 10, 2025

The digital economy (DE) and real (RE) are dual pillars of the modern economic system. deep integration (IDR) has emerged as a pivotal strategic trend. IDR not only can enhance international competitiveness but also contributes to sustainable development goals. This work collects DE RE data from 30 provinces in China between 2012 2022. entropy weight method coupling coordination degree (CCD) model employed measure level IDR. Furthermore, Dagum Gini coefficient, Kernel density estimation, spatial autocorrelation model, geographically temporally weighted regression (GTWR) utilized analyze spatial–temporal evolution influencing factors CCD. following conclusions drawn: (1) During study period, CCD shows an upward trend, value is relatively low. (2) There significant differences CCD, inter-regional difference primary cause. (3) regional continuously widening. (4) obvious global agglomeration feature, been enhanced (5) policy intensity, infrastructure, industrial structure, human capital, technological innovation, market environment have impacts on obtained findings provide important theoretical support for coordinated RE.

Language: Английский