4.3 Article

Assessing the Impact of Green Transformation on Ecological Well-Being Performance: A Case Study of 78 Cities in Western China

Publisher

MDPI
DOI: 10.3390/ijerph191811200

Keywords

ecological well-being performance; green transformation; sustainable development; spatial econometrics

Funding

  1. College Innovation and Entrepreneurship Training Program of Chongqing-Research on Key Factors and Enhancement Paths of Follow-up Support for Poverty Alleviation Relocation [S202110618024]

Ask authors/readers for more resources

This research examines the impact of green transformation on ecological well-being performance (EWP) using panel data from 78 prefecture-level cities in western China. The results demonstrate that green transformation can improve EWP in local and nearby cities in the western region. Industrial solid waste utilization, harm-less treatment rate of domestic waste, savings level, and R&D expenditure have a positive effect on EWP, while soot emission and consumption levels impede EWP advancement.
The contradiction between the endless pursuit of material possessions and finite natural resources hampers ecological well-being performance (EWP) improvement. Green transformation, recognized as an emerging strategy in sustainable development, can help to coordinate ecological, social, and economic growth by optimizing resource usage, with the ultimate objective of enhancing EWP. This research quantifies how green transformation influences EWP by using panel data from 78 prefecture-level cities in western China from 2012 to 2019. Using the super-SBM and entropy weight models, we assess the EWP and green transformation index (GTI) of 78 prefecture-level cities in western China. On this basis, we quantify the spatial characteristics of EWP by an analysis of the Theil index and spatial autocorrelation. Finally, we examine how GTI affects EWP using the Spatial Durbin model. The results demonstrate that the GTI can raise the EWP of local and nearby cities in western China. According to a GTI analysis of internal indicators, the industrial solid waste usage, harm-less treatment rate of domestic waste, savings level, and R&D expenditure significantly affect EWP. In contrast, the soot emission and consumption levels impede EWP advancement. The analysis of effect decomposition indicates that the sewage treatment rate, expenditure on science and technology, and green patents have a significant spatial spillover effect on the improvement of EWP.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available