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The Three-Dimensional Analytical and Governance Logic of China’s Digital Divide Bridging Policy

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  • Meng Qi

    (School of Public Administration, Yanshan University, Qinhuangdao 066004, China
    College of Marxism, Shandong University of Science and Technology, Qingdao 266590, China
    Hebei Public Policy Evaluation and Research Center, Qinhuangdao 066004, China)

  • Bei Zhang

    (Hebei Public Policy Evaluation and Research Center, Qinhuangdao 066004, China
    Institute of Marxism, Shandong University, Jinan 250100, China)

  • Junjie Li

    (School of Public Administration, Yanshan University, Qinhuangdao 066004, China
    Hebei Public Policy Evaluation and Research Center, Qinhuangdao 066004, China)

  • Bangfan Liu

    (School of Public Administration, Yanshan University, Qinhuangdao 066004, China
    Hebei Public Policy Evaluation and Research Center, Qinhuangdao 066004, China)

Abstract

In the digital era, digital technology enables political, economic and social fields. However, while the digital divide is pervasive due to the influence of population, geography, the economy and other factors, blindly pushing digital change often leads to the further expansion of the risks of social inequality. This paper constructed a three-dimensional analytical framework of digital gap-bridging policies from the perspective of policy objectives, policy tools and policy effectiveness. Based on this framework, this paper used the content analysis method to conduct a quantitative analysis of 81 digital gap-bridging policies published in China and selected the PMC index model for policy evaluation. The result shows that the policy goal of bridging the digital divide in China mainly focuses on bridging the material access gap and the technology gap, while inadequate attention was paid to the attitude gap and the use gap; in terms of policy tools, there exists an unbalanced situation regarding supply tools, environment and demand tools, with the first one being emphasized more than the others; there is still policy “fatigue” regarding weak feedback and less incentive, though the internal consistency level of the policy is good and the policy structure is reasonable. Therefore, we should optimize policy objectives and policy tools to bridge the digital divide. We should not only consider whether there is “or not” on the equipment and whether there is “or not” on the technology, but also consider whether we want to “or not” on the attitude and feel “or not” on the use; we should not only “give” unilaterally through supply-oriented policies but also “cooperate” with each other through demand-oriented and environment-oriented tools to release the maximum potential of digital empowerment.

Suggested Citation

  • Meng Qi & Bei Zhang & Junjie Li & Bangfan Liu, 2023. "The Three-Dimensional Analytical and Governance Logic of China’s Digital Divide Bridging Policy," Sustainability, MDPI, vol. 15(9), pages 1-24, April.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7220-:d:1133469
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    References listed on IDEAS

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    1. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    2. Sanjeev Dewan & Dale Ganley & Kenneth L. Kraemer, 2010. "Complementarities in the Diffusion of Personal Computers and the Internet: Implications for the Global Digital Divide," Information Systems Research, INFORMS, vol. 21(4), pages 925-940, December.
    3. Jauhiainen, Jussi S. & Eyvazlu, Davood & Junnila, Johanna & Virnes, Ada, 2022. "Digital divides,the Internet and social media uses among Afghans in Iran," Technology in Society, Elsevier, vol. 70(C).
    4. Nicole Zillien & Eszter Hargittai, 2009. "Digital Distinction: Status‐Specific Types of Internet Usage," Social Science Quarterly, Southwestern Social Science Association, vol. 90(2), pages 274-291, June.
    5. Leif Anders Thorsrud, 2020. "Words are the New Numbers: A Newsy Coincident Index of the Business Cycle," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 393-409, April.
    6. Amer Mutrik Sayaf & Mahdi M. Alamri & Mohammed Ayid Alqahtani & Waleed Mugahed Alrahmi, 2022. "Factors Influencing University Students’ Adoption of Digital Learning Technology in Teaching and Learning," Sustainability, MDPI, vol. 14(1), pages 1-18, January.
    7. Margarita Billón & Roberto Ezcurra & Fernando Lera-López, 2008. "The Spatial Distribution of the Internet in the European Union: Does Geographical Proximity Matter?," European Planning Studies, Taylor & Francis Journals, vol. 16(1), pages 119-142, January.
    8. Kwok-Kee Wei & Hock-Hai Teo & Hock Chuan Chan & Bernard C. Y. Tan, 2011. "Conceptualizing and Testing a Social Cognitive Model of the Digital Divide," Information Systems Research, INFORMS, vol. 22(1), pages 170-187, March.
    9. Jun Wen & Hadi Hussain & Renai Jiang & Junaid Waheed, 2023. "Overcoming the Digital Divide With ICT Diffusion: Multivariate and Spatial Analysis at China’s Provincial Level," SAGE Open, , vol. 13(1), pages 21582440231, March.
    10. Silva, Diego S. & Yamashita, Gabrielli Harumi & Cortimiglia, Marcelo Nogueira & Brust-Renck, Priscila G. & ten Caten, Carla Schwengber, 2022. "Are we ready to assess digital readiness? Exploring digital implications for social progress from the Network Readiness Index," Technology in Society, Elsevier, vol. 68(C).
    11. Xose Picatoste & Anabela Mesquita & Fernando González-Laxe, 2023. "Gender wage gap, quality of earnings and gender digital divide in the European context," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(2), pages 301-321, May.
    12. Jamil, Sadia, 2021. "From digital divide to digital inclusion: Challenges for wide-ranging digitalization in Pakistan," Telecommunications Policy, Elsevier, vol. 45(8).
    13. Ruiz Estrada, Mario Arturo, 2011. "Policy modeling: Definition, classification and evaluation," Journal of Policy Modeling, Elsevier, vol. 33(4), pages 523-536, July.
    14. Vicente, María Rosalía, 2022. "ICT for healthy and active aging: The elderly as first and last movers," Telecommunications Policy, Elsevier, vol. 46(3).
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