大数据背景下老龄产业统计的新途径探讨  

A Study on New Statistics Approach of Aging Industry in Age of Big Data

作　　者：郭正模[1] 孔令阳[1] GUO Zhengmo KONG Lingyang(Institute of Economics, Sichuan Academy of Social Sciences, Chengdu 610072, Sichuan Province, China)

机构地区：[1]四川省社会科学院经济研究所,成都610072

出　　处：《老龄科学研究》2016年第6期56-65,共10页Scientific Research on Aging

基　　金：国家社会科学研究基金经济理论项目"我国老龄产业的弱质特征;发展方略与扶持政策研究"(编号:13BJL080)的阶段性成果

摘　　要：统计是老龄产业成长与发展必不可少的基础性工作之一。但该产业在现行统计制度下面临统计途径缺乏、数据采集困难、统计渠道不畅等问题。大数据的发展对传统统计模式而言是一次革新,其为老龄产业统计提供了一个新的途径。根据老龄产业的跨行业与按年龄段界定的特征,大数据老龄产业统计应当选择经济活动的最终消费端来获取有关信息,大数据老龄产业统计可以依照消费者居民身份证上的年龄信息进行识别与认定。要加强大数据与经济普查和抽样调查等其他统计途径的有机结合,以解决我国老龄产业发展的统计基础问题。Statistics is essential for the development of aging industry. However, the aging industry is faced with many problems, such as lack of statistical approach, difficulties in data collection and stoppage of statistical channels in the current statistical system. Development of ＂big data＂ is an innovation fo r the traditional statistical method, and it provides a new way for the statistics of aging industry. Aging industry statistics via big data should collect information from the end consumer, then select statistical data in accordance with the consumers＇ age information. In conclusion, the combination of big data and other statistical approaches such as economic census and sample surveys will solve the basic problems of aging industry statistics.

关 键 词：老龄产业 老龄产业统计 大数据 统计途径 

分 类 号：D669.6[政治法律—政治学]