统计与决策2025，Vol.41Issue(4)：40-45,6.DOI:10.13546/j.cnki.tjyjc.2025.04.007
考虑时空滞后性的广义分布动态学模型修正及应用
Correction and Application of the Generalized Distribution Dynamics Model Considering Spatiotemporal Lag
摘要
Abstract
In order to depict the distribution evolution and convergence characteristics of development level from time,space,and spatiotemporal dimensions,this paper adopts the basic form of the time β convergence model and kernel density estimation,and relies on the gradient theory and synergistic effect to reconstruct the spatial β convergence model and the spatiotemporal β convergence model,and then established the corresponding kernel density estimation forms.Finally,the paper takes the spatial and temporal distribution evolution and convergence of natural gas green efficiency in China from 2006 to 2021as an example to verify the feasibility and practicability of the method.The research findings are shown as follows:From the temporal perspective,China's natural gas green efficiency has shown strong growth momentum,with the current efficiency growth rate being higher than in the later period.From the spatial perspective,there is a polarization phenomenon in China's natural gas green efficiency,with less developed regions experiencing a higher growth rate in efficiency than developed regions.From the spatiotemporal perspec-tive,the gap in natural gas green efficiency between neighboring regions continues to widen,although the expansion of develop-ment disparities between neighboring regions in the current period is smaller than in the previous period.关键词
β收敛模型/核密度估计/时间滞后性/空间滞后性/时空滞后性Key words
β convergence model/kernel density estimation/temporal lag/spatial lag/spatiotemporal lag分类
管理科学引用本文复制引用
安博文,许培源,孙明松..考虑时空滞后性的广义分布动态学模型修正及应用[J].统计与决策,2025,41(4):40-45,6.基金项目
国家社会科学基金资助项目(21BJY008) （21BJY008）
德阳市哲学社会科学规划专项课题(DY25ZX058) （DY25ZX058）
