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      Digital economy drives regional industrial structure upgrading: Empirical evidence from China’s comprehensive big data pilot zone policy

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      PLOS ONE
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          Abstract

          With the development of the digital economy, industrial structure upgrading plays an important role in realizing high-quality development. Exploiting the quasi-natural experimental setting provided by the Big Data Comprehensive Pilot Zone (BDCPZ) policy in China in 2016, this study evaluates the impacts of the BDCPZ policies on regional industrial structure upgrading using a combination of propensity score matching and difference-in-differences (PSM-DID) with panel data of 30 regions for the period 2008–2021. The results are as follows: (1) BDCPZ policies significantly promote regional industrial structure upgrading. This finding holds after conducting the placebo test and replacing explained variables. (2) BDCPZ policies enhance upgrading through technological innovation and financial deepening. (3) Heterogeneity analysis shows that the promotional effect of BDCPZ policies on industrial structure upgrading is more obvious in economically developed regions, megacities, and east-central regions; overall, regions with high industrialization benefit more. These findings have important implications: First, they provide new empirical evidence from the perspective of policy evaluation on how the digital economy affects industrial structure upgrading. Second, this study sheds light on the mechanism underlying this relationship, helping us understand how the digital economy can further affect the development of the industrial structure. Third, the policy effect is heterogenous, providing a scientific basis for the government to formulate differentiated implementation policies for different regions. This can help local industrial transformation and upgrading, and economic development in these regions through the implementation of big data and digital technologies.

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          Most cited references52

          • Record: found
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          The central role of the propensity score in observational studies for causal effects

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            • Article: not found

            Increasing Returns and Long-Run Growth

            Paul Romer (1986)
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              • Article: not found

              The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations.

              In this article, we attempt to distinguish between the properties of moderator and mediator variables at a number of levels. First, we seek to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating, both conceptually and strategically, the many ways in which moderators and mediators differ. We then go beyond this largely pedagogical function and delineate the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena, including control and stress, attitudes, and personality traits. We also provide a specific compendium of analytic procedures appropriate for making the most effective use of the moderator and mediator distinction, both separately and in terms of a broader causal system that includes both moderators and mediators.
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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: Writing – original draft
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                8 December 2023
                2023
                : 18
                : 12
                : e0295609
                Affiliations
                [1 ] School of Economics, Guizhou University of Finance and Economics, Guiyang, Guizhou, China
                [2 ] Guizhou Vocational College of Economics and Business, Duyun, Guizhou, China
                Shanghai University of Electric Power, CHINA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0009-0009-7614-4776
                Article
                PONE-D-23-27543
                10.1371/journal.pone.0295609
                10707681
                38064468
                cea8533e-a6a6-4e47-97f4-8065006504d6
                © 2023 Caihong Yang

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 26 August 2023
                : 25 November 2023
                Page count
                Figures: 2, Tables: 7, Pages: 25
                Funding
                The author(s) received no specific funding for this work.
                Categories
                Research Article
                Social Sciences
                Economics
                Finance
                People and Places
                Geographical Locations
                Asia
                China
                Social Sciences
                Economics
                Development Economics
                Economic Development
                Earth Sciences
                Geography
                Human Geography
                Urban Geography
                Cities
                Social Sciences
                Human Geography
                Urban Geography
                Cities
                Science Policy
                Science Policy and Economics
                Social Sciences
                Economics
                Development Economics
                Economic Growth
                Computer and Information Sciences
                Information Technology
                Engineering and Technology
                Structural Engineering
                Built Structures
                Custom metadata
                All relevant data are within the paper and its Supporting information files.

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