Green Circular Economy Governance for Sustainable Development in the Lifecycle
Abstract
The governance of green circular economy is an important way to promote sustainable development of the life cycle. However, existing research has not fully revealed the impact of each stage of the lifecycle on the governance of green circular economy, which has become a key issue in understanding and practicing sustainable development of the lifecycle. Therefore, this study aims to explore a green circular economy governance model from a lifecycle perspective and quantify the impact of each stage of the lifecycle on green circular economy governance. This study used a spatial lag model for empirical analysis, selecting a series of core variables, such as indicators of production stage, consumption stage, abandonment stage, and recycling stage, as well as green service facilities. The results indicated that the p-values for all years (except 2020) were greater than 0.05, indicating insufficient evidence of auto-correlation in the lifecycle. The p-values of LM spatial lag test and robust LM error lag test were both 0, showing that the spatial lag model was significant at the 1% level. This discovery revealed a high correlation in the analysis of the impact of green circular economy governance. The average correlation degree of all indicators was 0.6632, while the correlation degree of all indicators was 0.7010. In addition, developed and resource rich regions could better achieve green governance, while open areas were more attractive to green investment. The various stages of the lifecycle have a significant impact on the governance of green circular economy, and this quantitative evidence helps to scientifically and effectively promote the sustainable development of green circular economy governance in the lifecycle.
Published
2025-10-01
How to Cite
QIAO, Pingping et al.
Green Circular Economy Governance for Sustainable Development in the Lifecycle.
Journal of Power Technologies, [S.l.], v. 105, n. 3, p. 214 -- 228, oct. 2025.
ISSN 2083-4195.
Available at: <https://papers.itc.pw.edu.pl/index.php/JPT/article/view/1934>. Date accessed: 13 oct. 2026.
Issue
Section
Smart Grids and Renewable Energy Systems
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