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作 者:魏和清[1,2] 吴磊 张露 Wei Heqing;Wu Lei;Zhang Lu(School of Statistics and Data Science,Jiangxi University of Finance and Economics,Nanchang 330013,China;Center for Applied Statistics Research,Jiangxi University of Finance and Economics,Nanchang 330013,China)
机构地区:[1]江西财经大学统计与数据科学学院,南昌330013 [2]江西财经大学应用统计研究中心,南昌330013
出 处:《统计与决策》2025年第5期74-79,共6页Statistics & Decision
基 金:国家社会科学基金一般项目(21BTJ009,23BTJ025);江西省高校人文社会科学重点研究基地项目(JD21055)。
摘 要:文章从总量、素质、结构、分布四个维度构建人口高质量发展水平评价指标体系,运用熵权法测算了2012—2021年中国31个省份人口高质量发展水平,利用修正引力模型考察了省域人口高质量发展的空间关联,并通过社会网络分析揭示了人口高质量发展关联网络的整体形态、内部结构与演进态势。研究结果表明:中国省域人口高质量发展水平差异较大,东部地区最高,中部和东北地区次之,西部地区最低,形成以“高-高”和“低-低”集聚为主要特征的空间格局;各省份人口高质量发展水平具有较强的稳定性,中、高水平省份有较强的辐射效应;在凝聚子群内部,各省份发展水平存在差异。This paper constructs an evaluation index system of high-quality population development level from four dimensions:total amount,quality,structure and distribution,and then uses the entropy weight method to calculate the level of high-quality population development in 31 provinces of China from 2012 to 2021.Finally,the paper employs the modified gravity model to investigate the spatial correlation of high-quality population development in provinces,and the social network analysis is also adopted to reveal the overall form,internal structure and evolution trend of the high-quality population development correlation network.The results go as below:There is a wide gap in the high-quality development level of China’s provincial population,with the highest in the eastern region,followed by the central and northeast regions,and the lowest in the western region,forming a spatial pattern dominated by“high-high”and“low-low”agglomeration.The high-quality population development level in provinces has strong stability,and the medium and high-level areas have strong radiation effects.There are differences in the development level among the provinces within the cohesive subgroup.
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