【摘要】 为揭示湖南省县域人均GDP的空间关联特征，运用空间分析方法，深入探讨了湖南省县域人均GDP的空间分布情况。结果表明：湖南省县域人均GDP呈现出显著的空间集聚现象，全局Moran’s I指数为0.404,揭示了县域间的正相关空间关联。空间分布图揭示了经济发达与欠发达区域之间的两极分化现象。在湖南省乡村振兴发展战略和“十四五”战略性新兴产业发展规划的背景下，通过LISA局部空间自相关分析发现，经济热点区域主要集中于以长沙为中心的周边县域和以邵阳为核心的南部地区，而经济较落后的地区则多位于湘西北和湘西南的偏远山区。此外，通过构建空间回归模型，进一步验证了县域经济发展与空间分布特征之间的关系。研究为湖南省的区域经济发展策略提供了实证支持。更多还原

【Abstract】 This study aims to reveal the spatial correlation characteristics of the per capita GDP at the county level in Hunan Province.Employing spatial analysis methods, it thoroughly investigates the spatial distribution of the per capita GDP across counties in Hunan.The findings demonstrate a significant spatial clustering of per capita GDP,with a global Moran’s I index of 0.404,indicating a positive spatial correlation among counties.The spatial distribution map highlights a clear polarization between economically developed and underdeveloped areas.In the context of Hunan Province’s rural revitalization development strategy and the “Fourteenth Five-Year” strategic emerging industry development plan, LISA local spatial autocorrelation analysis identifies economic hotspots mainly in the counties surrounding Changsha and the southern region centered on Shaoyang, while less developed areas are predominantly found in the remote mountainous regions of northwestern and southwestern Hunan.Additionally, the study constructs a spatial regression model to further substantiate the relationship between county-level economic development and its spatial distribution features.This research offers empirical evidence to support the regional economic development strategies of Hunan Province.更多还原