首页    期刊浏览 2024年12月05日 星期四
登录注册

文章基本信息

  • 标题:Data-Driven Coordinated Development of the Digital Economy and Logistics Industry
  • 本地全文:下载
  • 作者:Guo, Yuxia ; Mao, Huiying ; Ding, Heping
  • 期刊名称:Sustainability
  • 印刷版ISSN:2071-1050
  • 出版年度:2022
  • 卷号:14
  • 期号:14
  • 页码:1-18
  • DOI:10.3390/su14148963
  • 语种:English
  • 出版社:MDPI, Open Access Journal
  • 摘要:With a renewed global scientific and technological revolution and industrial reform, the digital economy, with data resources as the key element, has rapidly developed. This study proposes a data-driven measurement and evaluation method to promote the coordinated development of the digital economy and logistics industry. An evaluation index system is constructed, which comprehensively considers the index dimensions that reflect the development level of the digital economy and logistics industry. A Z-score standardisation method is applied to data processing, to carry out dimensionless standardisation processing of the original index data. A collaborative degree model is constructed to evaluate the collaborative development level of the digital economy and logistics industry composite system. We demonstrate the implementation process of these models using data from Anhui province from 2013 to 2020. The results verify the feasibility of the research method and emphasise that the development level of the composite system of the digital economy and logistics industry in Anhui province shows a fluctuating growth trend, with variations between the types and degrees of collaboration policy; suggestions are made accordingly. This study provides theoretical and methodological support for the coordinated development of the regional digital economy and logistics industry.
  • 关键词:data-driven; digital economy; logistics industry; collaborative model; degree of collaboration; coordinated development
国家哲学社会科学文献中心版权所有