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      Coupled and Coordinated Development of the Data-Driven Logistics Industry and Digital Economy: A Case Study of Anhui Province

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          Abstract

          The digital transformation of the logistics industry is the current trend of development. In order to promote the integrated development of the logistics industry (LI) and the digital economy (DE), we propose a data-driven method which can be used to measure, evaluate, and identify the coupled and coordinated development (CCD) of the LI and DE. On the basis of data collection, we use the entropy weight method to measure the comprehensive development level of the LI and DE. A coordination model is then used to evaluate their CCD level. Finally, an obstacle degree model (ODM) is used to identify the key factors inhibiting the coordinated development (CD) of the two. This method is then applied to gauge the integration development of the LI and DE in Anhui Province. The results show that energy consumption and the lack of logistics employees are the main obstacles to the development of the LI in Anhui Province. The main obstacles to the development of the DE are the low development level of the electronic communications equipment manufacturing industry and the limited digitization of enterprises. Accordingly, this study puts forward corresponding countermeasures and suggestions to provide decision support for the CCD of the LI and DE.

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          Digital economy: An innovation driver for total factor productivity

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            Coupling coordination degree measurement and spatiotemporal heterogeneity between economic development and ecological environment ----Empirical evidence from tropical and subtropical regions of China

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              Coupling and coordinated development of new urbanization and agro-ecological environment in China

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                Author and article information

                Contributors
                Journal
                PROCCO
                Processes
                Processes
                MDPI AG
                2227-9717
                October 2022
                October 09 2022
                : 10
                : 10
                : 2036
                Article
                10.3390/pr10102036
                a456ed5c-2ac2-4278-b3c0-671141598897
                © 2022

                https://creativecommons.org/licenses/by/4.0/

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