江西科学2026，Vol.44Issue(2)：191-199,9.DOI:10.13990/j.issn1001-3679.2026.02.001
基于PVAR模型的长三角低碳、城市扩张与经济发展互动关系研究
Interactive Relationships among Low-Carbon Development,Urban Expansion and Economic Growth in the Yangtze River Delta Based on A PVAR Model
摘要
Abstract
Panel data from 41 cities in the Yangtze river delta region from 2012 to 2023 were used in this study.A support-degree model integrating three single evaluation methods-entropy weighting,TOPSIS and grey relational analysis-was applied to calculate the composite evaluation indices of low-carbon development,urban expansion and economic growth.The consistency and robustness of the combined evaluation results were verified using Kendall and Spearman tests.Subsequently,a panel vector autoregression(PVAR)model was con-structed and impulse response functions were introduced to analyze the dynamic interactions among the three systems.The results indicate that economic growth exerts a short-term inhibitory effect on low-carbon development,while significantly promoting urban expan-sion.In contrast,the impact of urban expansion on low-carbon development is relatively limited.In addition,low-carbon development,urban expansion and economic growth all exhibit strong self-reinforcing characteristics.关键词
PVAR模型/支持度模型/低碳/城市扩张/经济发展Key words
PVAR model/support degree model/low-carbon/urban expansion/economic growth分类
管理科学引用本文复制引用
王萍,李小龙..基于PVAR模型的长三角低碳、城市扩张与经济发展互动关系研究[J].江西科学,2026,44(2):191-199,9.基金项目
国家自然科学基金资助项目(42261078). （42261078）
