The spatiotemporal evolution and formation mechanism of the digital economic gap: Based on the case of China

We analyzed the formation mechanism of digital economic gap (DEG), measured the DEGs at four levels (the gaps in information and communication technology accessibility, application skill, digital economic outcome, and efficiency), and explored its spatiotemporal evolution in China by using DEA–Malmquist index method, Gini Coefficent method, Kernel density, and Geodetector. Data from 263 cities in China between 2011 and 2019 were collected. The results demonstrated that (1) The four levels of DEGs showed different trends. The first-, second- and third- level DEGs showed ceiling effects, and the fourth-level DEG oscillated upward. (2) The distribution location of the four levels of DEGs varied. The first- and second-level DEGs shifted at a stable low degree. The third-level DEG increased steadily and polarized. The fourth-level DEG increased steadily and formed a multi-polarization trend, with one strong polar. (3) The long-term transfer trend of the DEGs at four levels changed little, an..., A total of 263 cities in 30 provinces (cities or regions) in China were selected as the study subjects. Data were obtained from the China Statistical Yearbook, China Science and Technology Statistical Yearbook, Provincial and City Statistical Yearbooks, White Paper on China City DE Index, and the Mark Data website (https://www.macrodatas.cn/). The expedition period for this study was from 2011 to 2019. , , The dataset -- data.dta (city = 263, year = 8) -- was compiled from the peer-reviewed literature. This was from study sites in 263 cities, China. The dataset was compiled by co-authors Shujuan Wu ([[e-mail]](mailto:[e-mail])), Jinting Li ([[e-mail]](mailto:[e-mail])), Daqian Huang ([[e-mail]](mailto:[e-mail])), Jianhua Xiao ([[e-mail]](mailto:[e-mail])) of Wuyi University. For any questions regarding the dataset, please send an email to Shujuan Wu [([e-mail])](mailto:\([e-mail]\)) and Jinting Li ([[e-mail]](mailto:[e-mail])). --- Filename: data.dta ◈year: The year of the data ◈city: City No. ◈region: The No. Of the region ◈rndexp: R&D expenditure (10000 Yuan) ◈exgebudget:Total financial expenditure (10000 Yuan) ◈fixass:  Fixed asset investment (10000 Yuan) ◈fstdeg: First-level of digital economy (/) ◈library: The collection of books in public libraries per capi...本研究解析了数字经济差距（Digital Economic Gap, DEG）的形成机制，从信息通信技术可及性、应用技能、数字经济产出与效率四个维度测度了数字经济差距，并采用DEA-Malmquist指数法、基尼系数法、核密度估计与地理探测器，探究了2011-2019年中国263个城市的数字经济差距时空演化特征。研究采集了中国2011至2019年263个城市的相关数据。 研究结果表明：（1）四类维度的数字经济差距演化趋势各异：一、二、三级数字经济差距均呈现趋顶效应，四级数字经济差距则呈震荡上行态势。（2）四类数字经济差距的分布位置存在差异：一、二级数字经济差距以稳定的低位小幅偏移；三级数字经济差距稳步提升并出现极化现象；四级数字经济差距持续攀升，形成多极化分布格局且存在一个强极化中心。（3）四类数字经济差距的长期转移趋势变化较小，…… 本研究选取中国30个省份（直辖市、自治区）的263个城市作为研究样本，数据来源于《中国统计年鉴》《中国科技统计年鉴》、各省市统计年鉴、《中国城市数字经济指数白皮书》以及宏观数据网（https://www.macrodatas.cn/），研究时段为2011至2019年。 本数据集data.dta（涵盖263个城市、8年时序数据）源自同行评议文献，数据采集自中国263个城市的研究站点。本数据集由五邑大学合著者吴淑娟（[e-mail]）、李锦婷（[e-mail]）、黄大乾（[e-mail]）、肖建华（[e-mail]）整理编制。若对本数据集有任何疑问，请致信吴淑娟（[e-mail]）与李锦婷（[e-mail]）。 --- 文件名：data.dta • year：数据对应的年份 • city：城市编号 • region：区域编号 • rndexp：研发经费支出（单位：万元） • exgebudget：财政总支出（单位：万元） • fixass：固定资产投资额（单位：万元） • fstdeg：一级数字经济差距（无量纲） • library：人均公共图书馆藏书量（per capi...）