中国地区性数字鸿沟社会经济成因与治理研究
Investigation into the Socioeconomic Determinants and Mitigation Strategies of the Regional Digital Divide in China
李宏 1孙钰婷1
作者信息
- 1. 东北财经大学 公共管理学院,大连 116025
- 折叠
摘要
从互联网发展地区差距出发,结合"普及率"和"基础资源"两个维度,针对 21 世纪以来中国大陆 31 个省市自治区,以动态面板模型系统 GMM方法,进行经济增长、人口统计、居民收入、基础设施、政府干预、对外开放、科技和城镇化发展水平等一系列基本社会经济因素影响分析,并进行各因素影响的相对重要性分析和稳健性检验.结果表明,居民收入与经济增长等因素,对现阶段国内地区性数字鸿沟的形成与演化的确有显著影响;同时,还发现现阶段中国地区性数字鸿沟演化发展的循环累积特性、不同类别因素影响程度的差异,以及不同区域间和不同发展阶段上互联网发展水平受社会经济因素影响的显著差异性.消弭地区性数字鸿沟的关键,主要在于加快基础设施建设、保护弱势群体和深化互联网治理等三个方面.
Abstract
This article investigates the regional disparities in internet usage across regions and combines the dimen-sions of"penetration rate"and"basic resources."It examines the socioeconomic factors affecting 31 provinces,mu-nicipalities,and autonomous regions of Mainland China since the 21st century,employing a dynamic panel model and the System GMM approach.The analysis covers various fundamental socioeconomic factors such as economic growth,demographics,household income,infrastructure,government intervention,openness to foreign investment,technology,and the level of urbanization,while also assessing the relative importance and robustness of each factor's impact.Results indicate that factors such as household income and economic growth have a significant impact on the formation and evolution of the regional digital divide within the country at the current stage.Additionally,the study identifies the cyclical cumulative characteristics of the regional digital divide's evolution,the varying degrees of impact from different types of factors,and the significant variations in the influence of socioeconomic factors on internet de-velopment across different regions and stages of development.Finally,the paper proposes that the key to eradicating the regional digital divide lies in accelerating infrastructure development,protecting vulnerable groups,and deepe-ning internet governance.
关键词
地区性数字鸿沟/社会经济因素/动态面板/系统GMM/面板分位数回归Key words
regional digital divide/socioeconomic factors/dynamic panel/System GMM/panel quantile regression引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据