Data-Driven Coordinated Development of the Digital Economy and Logistics Industry

Yuxia Guo, Huiying Mao, Heping Ding, Xue Wu, Yujia Liu, Hongjun Liu and Shuling Zhou
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Yuxia Guo: Business School, Suzhou University, Suzhou 234000, China
Huiying Mao: Business School, Suzhou University, Suzhou 234000, China
Heping Ding: Business School, Suzhou University, Suzhou 234000, China
Xue Wu: Business School, Suzhou University, Suzhou 234000, China
Yujia Liu: Business School, Suzhou University, Suzhou 234000, China
Hongjun Liu: Business School, Suzhou University, Suzhou 234000, China
Shuling Zhou: Business School, Suzhou University, Suzhou 234000, China

Sustainability, 2022, vol. 14, issue 14, 1-18

Abstract: 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.

Keywords: data-driven; digital economy; logistics industry; collaborative model; degree of collaboration; coordinated development (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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