中国城市数字化转型水平测度、动态演进与影响因素OA北大核心CSTPCD
Research on the measurement,dynamic evolution and influencing factors of digital transformation level in Chinese cities
从经济数字化转型、生活数字化转型、治理数字化转型和数字化转型基础4 个维度构建城市数字化转型评价指标体系,运用熵权法测算2012-2020 年城市数字化转型水平,并进一步对其分布动态演进趋势、差异来源及影响因子进行系统性分析.结果显示:城市数字化转型水平呈现逐年递增的态势,各子维度城市数字化转型水平呈上升趋势,其水平依次是数字化转型基础、经济数字化转型、治理数字化转型和生活数字化转型.城市数字化转型呈现集中化趋势,地区间发展差异不断缩小;组间差异是造成城市间数字化转型水平差异的主要原因,城市数字化转型水平差异的主要结构来源为数字化转型基础差异.城市数字化转型水平的主要影响因子分别为公共服务、新兴产业、智能制造、新业态就业、劳动密集型产业发展、电子商务发展水平和创新水平.
Urban digital transformation is a crucial requirement for enhancing the level and core competitiveness of cities,as well as an effective approach to improving urban governance.This paper aims to construct an evaluation index system for urban digital transformation in China from economic digital transformation,lifestyle digital transformation,governance digital transformation,and digital transformation infrastructure.Based on a sample of 154 cities in China over the period 2012-2020,the entropy method is used to calculate the level of urban digital transformation.Furthermore,a systematic analysis is conducted on the dynamic evolution trend,source of differences,and influencing factors.The findings reveal that the level of urban digital transformation has been increasing with all sub-dimensions showing an upward trend.Moreover,the development of digital transformation infrastructure and economic digital transformation is the most prominent,followed by governance digital transformation.However,lifestyle digital transformation has a relatively lower level.Further,inter-group differences are the main reason for the differences in the level of digital transformation between cities,and the main sources of the differences in the level of digital transformation in cities is the difference in the foundation of digital transformation.The key influencing factors of China urban digital transformation include public services,emerging industries,intelligent manufacturing,new employment formats,development of labor-intensive industries,e-commerce development level and innovation level.
黄琼;许黎黎;杨燕
安徽建筑大学经济与管理学院,安徽合肥 230022
经济学
城市数字化转型水平测度动态演进熵权法
urban digital transformationlevel measurementdynamic evolutionentropy method
《重庆理工大学学报》 2024 (014)
90-102 / 13
国家社会科学基金后期资助项目"中国数字经济与制造业深度融合研究"(21FJYB045);安徽省高校人文社会科学重大项目"数字经济提升安徽城市韧性发展水平机理与路径研究"(2022AH040040)
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