%0 Journal Article
%T 空间异质性视角下的区域经济高质量发展对京津冀地区人均可支配收入影响研究<br>Research on the Impact of High-Quality Regional Economic Development on Per Capita Disposable Income in Beijing-Tianjin-Hebei Region from the Perspective of Spatial Heterogeneity
%A 罗力铭
%A 周钜凌
%J Sustainable Development
%P 2577-2593
%@ 2160-7559
%D 2024
%I Hans Publishing
%R 10.12677/sd.2024.1410290
%X 本文分析了京津冀地区经济高质量发展与居民人均可支配收入的关系&#65292;探索了其空间异质性。通过构建评价指标体系&#65292;利用全局莫兰指数分析了空间自相关性。应用多种回归分析模型和斑马优化算法建模分析&#65292;发现经济基础、创新驱动、民生福祉对京津冀地区的居民人均可支配收入有显著正向影响&#65292;而生态环境影响较小。研究还发现数字经济、二氧化碳排放下降率和人均GDP增速等变量对收入影响显著。<br>This paper analyzes the relationship between high quality economic development and per capita disposable income in Beijing-Tianjin-Hebei region, and explores its spatial heterogeneity. By constructing the evaluation index system, the spatial autocorrelation is analyzed by using the global Moran index. Using multiple regression analysis models and Zebra optimization algorithm, it is found that economic basis, innovation-driven, and people&#8217;s well-being have significant positive effects on the per capita disposable income of residents in the Beijing-Tianjin-Hebei region, while the ecological environment has little impact. The study also found that variables such as the digital economy, the decline rate of carbon dioxide emissions and the growth rate of per capita GDP have a significant impact on income.
%K 京津冀地区&#65292
%K 经济高质量发展&#65292
%K 人均可支配收入&#65292
%K 空间异质性&#65292
%K 机器学习&#65292
%K 斑马优化算法<br>Beijing-Tianjin-Hebei Region
%K High-Quality Economic Development
%K Per Capita Disposable Income
%K Spatial Heterogeneity
%K Machine Learning
%K Zebra Optimization Algorithm
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=99188