IDEAS home Printed from https://ideas.repec.org/a/spt/apfiba/v12y2022i6f12_6_1.html
   My bibliography  Save this article

Analysis on the Next Generation of Artificial Intelligence Development Plan and Digital Financial Inclusion: Evidence from China

Author

Listed:
  • Aili Zhang
  • Xinyu Sun

Abstract

In 2017, the State Council of China released the Next Generation Artificial Intelligence Development Plan in order to seize the opportunity to develop artificial intelligence. Based on a panel dataset from 31 regions in China from 2014-2019, this study utilizes a difference-in-difference model to examine the impact of the release of the Next Generation of Artificial Intelligence Development Plan on the development of digital financial inclusion, and then utilizes a spatial difference-in-difference model to examine the spatial spillover effect of the release of the plan. In this study, results demonstrate that the release of the Next Generation of Artificial Intelligence Development Plan had a significant impact on the promotion of the development of digital financial inclusion, as indicated predominantly by the depth of its use and digitalization. Additionally, the spatial difference-in-difference analysis shows that the impact of this plan has a significant spatial spillover effect, which promotes the development of digital financial inclusion in the region, as well as increases the level of digital financial inclusion in the surrounding areas. The development of digital financial inclusion has been accompanied by a spatial agglomeration. JEL classification numbers: O25, O33, R58. Keywords: Artificial Intelligence, Digital Financial Inclusion, Difference-in-Difference Model, Spatial Difference-in-Difference Model, Spatial Spillover Effect.

Suggested Citation

  • Aili Zhang & Xinyu Sun, 2022. "Analysis on the Next Generation of Artificial Intelligence Development Plan and Digital Financial Inclusion: Evidence from China," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 12(6), pages 1-1.
  • Handle: RePEc:spt:apfiba:v:12:y:2022:i:6:f:12_6_1
    as

    Download full text from publisher

    File URL: http://www.scienpress.com/Upload/JAFB%2fVol%2012_6_1.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jacobson, Louis S & LaLonde, Robert J & Sullivan, Daniel G, 1993. "Earnings Losses of Displaced Workers," American Economic Review, American Economic Association, vol. 83(4), pages 685-709, September.
    2. Vikrant Vig, 2013. "Access to Collateral and Corporate Debt Structure: Evidence from a Natural Experiment," Journal of Finance, American Finance Association, vol. 68(3), pages 881-928, June.
    3. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    4. Louis S. Jacobson & Robert J. LaLonde & Daniel G. Sullivan, 1993. "Long-term earnings losses of high-seniority displaced workers," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 17(Nov), pages 2-20.
    5. Philippe Aghion & Benjamin F. Jones & Charles I. Jones, 2018. "Artificial Intelligence and Economic Growth," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 237-282, National Bureau of Economic Research, Inc.
    6. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    7. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2018. "Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 23-57, National Bureau of Economic Research, Inc.
    8. Georg Graetz & Guy Michaels, 2015. "Robots at work: the impact on productivity and jobs," CentrePiece - The magazine for economic performance 447, Centre for Economic Performance, LSE.
    9. Jeffrey D. Sachs & Seth G. Benzell & Guillermo LaGarda, 2015. "Robots: Curse or Blessing? A Basic Framework," NBER Working Papers 21091, National Bureau of Economic Research, Inc.
    10. Chagas, André L.S. & Azzoni, Carlos R. & Almeida, Alexandre N., 2016. "A spatial difference-in-differences analysis of the impact of sugarcane production on respiratory diseases," Regional Science and Urban Economics, Elsevier, vol. 59(C), pages 24-36.
    11. Dubé, Jean & Legros, Diègo & Thériault, Marius & Des Rosiers, François, 2014. "A spatial Difference-in-Differences estimator to evaluate the effect of change in public mass transit systems on house prices," Transportation Research Part B: Methodological, Elsevier, vol. 64(C), pages 24-40.
    12. Yaqian Pan & Meng Yang & Shubing Li & Xinxin Chen & Shiqi Yu & Lijuan Yu, 2016. "The Impact of Mobile Payments on the Internet Inclusive Finance," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 6(4), pages 97-106, December.
    13. Sandra Planes-Satorra & Caroline Paunov, 2019. "The digital innovation policy landscape in 2019," OECD Science, Technology and Industry Policy Papers 71, OECD Publishing.
    14. Li Da Xu, 2021. "Special issue on system research on artificial intelligence," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(1), pages 187-187, January.
    15. Murillo Campello & Mauricio Larrain, 2016. "Enlarging the Contracting Space: Collateral Menus, Access to Credit, and Economic Activity," The Review of Financial Studies, Society for Financial Studies, vol. 29(2), pages 349-383.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jakub Growiec, 2019. "The Hardware–Software Model: A New Conceptual Framework of Production, R&D, and Growth with AI," Working Paper series 19-18, Rimini Centre for Economic Analysis.
    2. Yining Zhang & Zhong Wu, 2021. "Intelligence and Green Total Factor Productivity Based on China’s Province-Level Manufacturing Data," Sustainability, MDPI, vol. 13(9), pages 1-16, April.
    3. Naude, Wim, 2019. "The race against the robots and the fallacy of the giant cheesecake: Immediate and imagined impacts of artificial intelligence," MERIT Working Papers 2019-005, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    4. Wiljan van den Berge, 2019. "Automatic Reaction – What Happens to Workers at Firms that Automate?," CPB Discussion Paper 390, CPB Netherlands Bureau for Economic Policy Analysis.
    5. Abeliansky, Ana Lucia & Prettner, Klaus, 2017. "Automation and demographic change," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168215, Verein für Socialpolitik / German Economic Association.
    6. Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021. "Artificial intelligence and energy intensity in China’s industrial sector: Effect and transmission channel," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 276-293.
    7. Liu, Jun & Yang, Yuan-jun & Cao, Ya-ru & Forrest, Jeffrey Yi-Lin, 2021. "Stimulating effects of intelligent policy on the performance of listed manufacturing companies in China," Journal of Policy Modeling, Elsevier, vol. 43(3), pages 558-573.
    8. Dennis C. Hutschenreiter & Tommaso Santini & Eugenia Vella, 2022. "Automation and sectoral reallocation," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 13(1), pages 335-362, May.
    9. Basso, Henrique S. & Jimeno, Juan F., 2021. "From secular stagnation to robocalypse? Implications of demographic and technological changes," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 833-847.
    10. Venturini, Francesco, 2022. "Intelligent technologies and productivity spillovers: Evidence from the Fourth Industrial Revolution," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 220-243.
    11. Goos, Maarten & Rademakers, Emilie & Röttger, Ronja, 2021. "Routine-Biased technical change: Individual-Level evidence from a plant closure," Research Policy, Elsevier, vol. 50(7).
    12. Rui Ding & Fangcheng Sun, 2023. "Impact of River Chief System on Green Technology Innovation: Empirical Evidence from the Yangtze River Economic Belt," Sustainability, MDPI, vol. 15(8), pages 1-22, April.
    13. Prettner, Klaus & Strulik, Holger, 2020. "Innovation, automation, and inequality: Policy challenges in the race against the machine," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 249-265.
    14. Bernardo S Buarque & Ronald B Davies & Ryan M Hynes & Dieter F Kogler, 2020. "OK Computer: the creation and integration of AI in Europe," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 175-192.
    15. Hémous, David & Dechezleprêtre, Antoine & Olsen, Morten & Zanella, carlo, 2019. "Automating Labor: Evidence from Firm-level Patent Data," CEPR Discussion Papers 14249, C.E.P.R. Discussion Papers.
    16. Gregory, Terry & Salomons, Anna & Zierahn, Ulrich, 2016. "Racing With or Against the Machine? Evidence from Europe," VfS Annual Conference 2016 (Augsburg): Demographic Change 145843, Verein für Socialpolitik / German Economic Association.
    17. Yingying Lu & Yixiao Zhou, 2021. "A review on the economics of artificial intelligence," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1045-1072, September.
    18. Gries, Thomas & Naudé, Wim, 2021. "The Race of Man and Machine: Implications of Technology When Abilities and Demand Constraints Matter," IZA Discussion Papers 14341, Institute of Labor Economics (IZA).
    19. Miaomiao Tao & Pierre Failler & Lim Thye Goh & Wee Yeap Lau & Hanghang Dong & Liang Xie, 2022. "Quantify the Effect of China’s Emission Trading Scheme on Low-carbon Eco-efficiency: Evidence from China’s 283 Cities," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(6), pages 1-33, August.
    20. Du, Longzheng & Lin, Weifen, 2022. "Does the application of industrial robots overcome the Solow paradox? Evidence from China," Technology in Society, Elsevier, vol. 68(C).

    More about this item

    Keywords

    artificial intelligence; digital financial inclusion; difference-in-difference model; spatial difference-in-difference model; spatial spillover effect.;
    All these keywords.

    JEL classification:

    • O25 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Industrial Policy
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spt:apfiba:v:12:y:2022:i:6:f:12_6_1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Eleftherios Spyromitros-Xioufis (email available below). General contact details of provider: http://www.scienpress.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.