我国大数据产业统计范畴的分析与探讨

发布时间：2018-04-15 05:17

本文选题：大数据产业 + 统计范畴　；参考：《调研世界》2017年12期

【摘要】：本文对大数据产业的统计范畴进行了分析与探讨,大数据产业包括核心活动和扩展活动两部分。大数据产业核心活动可以分成以下几个部门:一是由数据产生和数据采集组成的大数据生产部门;二是由数据传输和数据存储处理组成的大数据传输组织管理部门;三是由数据分析和数据展示及应用组成的大数据价值服务部门。大数据产业扩展活动可分为两类:一是指主产品中既包括大数据产品又包括其他产品的部门,即主业中与支撑大数据的产生、传输、组织管理及价值实现有关而未列入核心产业部门的单位;二是指利用大数据技术与传统行业的融合来改造提升行业价值的经济活动,包含大数据在各领域的应用。
[Abstract]:This paper analyzes and probes into the statistical category of big data industry, which includes two parts: core activity and expansion activity.Big data industrial core activities can be divided into the following departments: the first is a data generation and data collection of the big data production department, the other is the data transmission and data storage processing of the big data transmission organization and management department;Third, big data value service department is composed of data analysis and data display and application.Big data's industrial expansion activities can be divided into two categories: one is to point to the main products, which include big data products as well as other products, that is, the production and transmission of the main products and supporting big data.Organizational management and value realization are related to the units not included in the core industrial departments; the second refers to the economic activities in which big data's technology and traditional industries are used to transform and promote the value of the industry, including the application of big data in various fields.
【作者单位】：贵州理工学院经济管理学院;
【基金】：2016年度贵州省哲学社会科学规划课题一般项目:贵州省生态文明发展指数及提升研究(项目编号:16GZYB44) 2016年度贵州省软科学研究计划项目:贵州连片特困地区精准扶贫的贫困识别及绩效评估研究(项目编号:黔科合基础[2016]1512-1号)
【分类号】：F49

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