摘要
Abstract
To gain deeper insights into the evolution and causes of economic disparities in Zhejiang province,this study employs nighttime light data as a proxy for regional economic develop-ment levels.Spatial analysis methods are used to examine the spatiotemporal evolution of county-level economic patterns in Zhejiang from 2013 to 2023.Furthermore,a multi-scale geographically weighted regression(MGWR)model is employed to explore the spatial heter-ogeneity of influencing factors,enabling a comprehensive analysis of the province's economic landscape.The results indicate that relative disparity in county-level economic development in Zhejiang Province has narrowed,with improvements observed in overall economic bal-ance.Between 2013 and 2023,the number of high-high agglomeration areas of county-level re-gions in Zhejiang province decreased,and the regional radiative driving role weakened slight-ly.The number of low-low agglomeration types of county-level regions decreased,and regional development became more balanced.Among the influencing factors,industrial de-velopment exerts the strongest positive impact on county-level economic disparities,while economic conditions show a negative effect.In terms of spatial heterogeneity,the impact of economic conditions is the highest,followed by education levels,government regulation,and scientific and technological innovation.关键词
夜间灯光数据/县域经济/空间特征/多尺度地理加权回归Key words
nighttime light data/county-level economy/spatial characteristics/multi-scale geographically weighted regression分类
天文与地球科学
