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从制度创新视角看我国分享经济统计工作存在的问题及解决对策 被引量:2

Problems and countermeasures for Chinese sharing economy statistics in the perspective of system innovation
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摘要 分享经济发展离不开制度的创新和完善,分享经济统计工作作为指导我国分享经济运行的重要工具,在国家宏观调控、产业发展、行业监管等方面发挥着积极作用,然而,当前我国分享经济统计工作面临着统计方法落后、经济结构难以衡量、缺少有效合作机制、行业分类归属混乱、大数据方法运用不够等突出问题,严重制约了未来我国分享经济的发展。基于此,从统计制度创新的视角出发,提出建立统一标准方法,加强保障制度建设、数据合作交流及统计人才培养等对策建议。 The development of sharing economy is infeasible without system innovation and improvement. The statistical work of sharing economy as an important tool to guide its operation in China plays a positive role in the national macroecononmic regulation and control, industry development and industry supervision. However, this work is presently faced with serious problems such as inappropriate statistical method, difficulty in measuring the economic strutting, lack of effective cooperation mechanism, confusion of industry categories and inadequate big data approaches, which will seriously restrict the future development of sharing economy in China. In view of this, this paper proposes countemleasurs from the perspective of statistical system innovation as to establish a unified standard method, strengthen the construction of a guarantee system, encourage data cooperation and exchange as well as train statistics personnel.
作者 白云朴 朱承亮 BAI Yunpu;ZHU Chengliang(Institute of China ICT Development and Strategy, Nanjing University of Posts and Teleconununications, Nanjing 210023, China;Institute of Quantitative and Technical Economics, Chinese Academy of Social Sciences, Beijing 100732, China)
出处 《南京邮电大学学报(社会科学版)》 2018年第2期51-57,共7页 Journal of Nanjing University of Posts and Telecommunications(Social Science Edition)
基金 国家社会科学基金青年项目"大众创业对中国经济发展的影响研究"(16CJL017) 南京邮电大学引进人才项目"中国互联网竞争力研究体系的构建"(NYY215012)
关键词 分享经济 统计制度 制度创新 大数据 sharing economy statistical system institutional innovation big data
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  • 1姚海明.评威茨曼的分享经济制度[J].南京政治学院学报,1999,15(5):43-47. 被引量:8
  • 2中国互联网络信息中心.中国互联网络发展状况统计报告,2014.
  • 3Steve Lohr. The Age of Big Data[ N]. The New York Times, 2012 -02 -11.
  • 4张小彦.大数据与社会管理[A].2012年清华大学大数据论坛.
  • 5McKinsey Global Institute. China' s digital transformation: The Intemet' s impact on productivity and growth [ J ]. 2014 (7).
  • 6陈辉.智能数据时代的技术准备[J].阿里商业评论,2014(3).
  • 7MeKinsey Global Institute. Open data: Unlocking innovation and performance with liquid information.
  • 8沈阳机床:跨界融合打造中国“智”造业航母[EB/OL].[2016-02-29].http://www.maiCNC.net/News/281190504111556htm.
  • 9阿里淘工厂:东莞占全省1/10[E8/OL].[2016-02-29].httP://f.sun0769.C0m/news/dg/201501/t20150107-4920342.shtml.
  • 10阿里商业评论“淘工厂”促进制造业柔性化加速[EB/OL].[2016-02-29].http://wwwaliresearch.com/blog/article/detaiI/id/20383.html.

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