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作 者:杨刚强 陈强强 林勇[2] Yang Gangqiang;Chen Qiangqiang;Lin Yong(College of Finance and Economics,Gansu Agricultural University;College of Economics,Northwest Normal University,Lanzhou 730070,China)
机构地区:[1]甘肃农业大学财经学院 [2]西北师范大学经济学院,兰州730070
出 处:《统计与决策》2025年第8期11-16,共6页Statistics & Decision
基 金:国家社会科学基金资助项目(21BJY117);甘肃省人文社会科学项目(22ZZ81)。
摘 要:文章基于2014—2020年我国的省域面板数据,采用熵值法、耦合协调度模型和空间收敛模型分析新型城镇化与农村数字经济融合水平的发展趋势、空间分异和收敛特征。研究表明:(1)新型城镇化与农村数字经济的融合水平呈现由低融合水平逐渐向高融合水平变化的上升态势。(2)新型城镇化与农村数字经济的融合水平具有“内陆地区低,东部沿海地区高”的特征,并呈现高融合水平地区向低融合水平地区扩散的趋势。(3)新型城镇化与农村数字经济的融合水平存在空间收敛性,且在各影响因素作用下,空间收敛性显著增强。(4)经济发展水平、产业升级、技术进步、政府行为等因素可以促进新型城镇化与农村数字经济的融合。Based on the provincial panel data of China from 2014 to 2020,this paper uses entropy method,coupling coordination degree model,and spatial convergence model to analyze the development trend,spatial differentiation and convergence characteristics of the integration level of new urbanization and rural digital economy.The research results go as below:(1)The integration level of new urbanization and rural digital economy shows a gradual upward trend from low integration level to a high one.(2)The integration level of new urbanization and rural digital economy is characterized by“low in inland areas and high in eastern coastal areas”,presenting a trend of diffusion from high integration level areas to low integration level areas.(3)The integration level of new urbanization and rural digital economy has spatial convergence,and under the conditions of influencing factors,spatial convergence is significantly enhanced.(4)Factors such as economic development level,industrial upgrading,technological progress,and government behavior can promote the integration of new urbanization and rural digital economy.
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