中国产业数字化水平测度及空间特征研究  

Research on the Measurement and Spatial Characteristics of China's Industrial Digitalization Level

作　　者：杨雪婷 张丹宁[1] YANG Xueting;ZHANG Danning(School of Economics,Liaoning University,Shenyang 110136,China)

机构地区：[1]辽宁大学经济学院,辽宁沈阳110136

出　　处：《辽宁大学学报（哲学社会科学版）》2023年第3期27-40,共14页Journal of Liaoning University(Philosophy and Social Sciences Edition)

基　　金：国家自然科学基金项目“产业集群社会责任的建设机理及聚合测度指数研究”(71803073);教育部人文社会科学研究项目“产业集群社会责任指数的构建与应用研究”(18YJC790211)。

摘　　要：产业数字化是数字经济与实体经济深度融合的关键途径。文章在归纳其演进过程的基础上,阐释其内涵特征;从基础支撑、场景应用、政策支撑三个层面构建产业数字化水平指标体系,并基于客观序贯分析法进行指标赋权;用线性聚合方法计算其水平;通过核密度估计明晰其分布动态,用莫兰指数(Moran’s I)测度其全局(局部)空间自相关,用Lisa图描绘其局部空间自相关,用(空间)马尔科夫链测度其转移概率。结果显示,中国产业数字化水平逐年提高,呈现强烈的空间自相关集聚状态,随着空间滞后水平的上升,产业数字化向更高水平转移的概率变大。Industrial digitization is the key way of deep integration of digital economy and real economy.On the basis of summarizing its evolution process,it explains its connotation characteristics.The index system of industrial digital development level is constructed from three aspects of basic support,scene application and policy support,and the index weight is determined with objective sequential analysis method,and the level is calculated by linear aggregation method.With the distribution dynamics clarified through kernel density estimation,Moran's I measures its global(local) spatial autocorrelation,Lisa diagram describes its local spatial autocorrelation,and(spatial) Markov chain measures its transition probability.The results show that the level of industrial digitalization in China has increased year by year,showing a strong spatial autocorrelation agglomeration state.With the increase of spatial lag level,the probability of industrial digitalization transferring to a higher-level increase.

关 键 词：产业数字化 演进阶段 水平测度 空间特征 

分 类 号：F49[经济管理—产业经济] F429.9