IDEAS home Printed from https://ideas.repec.org/p/ags/pugtwp/333441.html

Impact of Digital Economy Agreements on ASEAN Development: Estimates from a CGE Model

Author

Listed:
  • Lim, Jing Zhi
  • Toh, Mun-Heng
  • Xie, Taojun

Abstract

Technology strategy and governance have turned from a priority to an imperative for firms and governments alike in today's digital economy. Paving the way for the future, ASEAN has entered discussions for an ASEAN Digital Masterplan in 2025 to improve economic integration, and promote inclusive, sustainable growth for the region. We conduct a computable general equilibrium analysis of the impacts of the DEA on the signatories' economies, the ASEAN region, and the world. We find that DEAs will positively increase the output of the ICT sector and has downstream benefits for the business services & financial sector, increasing their output by an average of 6.78%. The DEAs which aim to improve the interoperability of digital systems between countries will also increase inter-regional trade by an average of 7.27%. Data localization clauses that are overly restrictive may be counterproductive and decrease the ICT sector's sectoral output. We also find that countries with a higher proportion of unskilled labor would see the most considerable growth in demand for skilled labor in ICT, reiterating the importance of reskilling the workforce.

Suggested Citation

  • Lim, Jing Zhi & Toh, Mun-Heng & Xie, Taojun, 2022. "Impact of Digital Economy Agreements on ASEAN Development: Estimates from a CGE Model," Conference papers 333441, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
  • Handle: RePEc:ags:pugtwp:333441
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/333441/files/11140.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David G Tarr, 2014. "Applied Trade Policy Modeling in 16 Countries:Insights and Impacts from World Bank CGE Based Projects," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 8942, March.
    2. Charles I. Jones & Christopher Tonetti, 2020. "Nonrivalry and the Economics of Data," American Economic Review, American Economic Association, vol. 110(9), pages 2819-2858, September.
    3. Julia M. Puaschunder, 2019. "Artificial Intelligence Market Disruption," Proceedings of the 13th International RAIS Conference, June 10-11, 2019 01 JP, Research Association for Interdisciplinary Studies.
    4. Flaig, Dorothee & Lopez Gonzalez, Javier & Messent, James & Jouanjean, Marie-Agnès, 2016. "Modelling data localisation measures," Conference papers 332763, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    5. Erwin Corong & Thomas Hertel & Robert McDougall & Marinos Tsigas & Dominique van der Mensbrugghe, 2017. "The Standard GTAP Model, version 7," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 2(1), pages 1-119, June.
    6. Don Gunasekera & Ernesto Valenzuela, 2020. "Adoption of Blockchain Technology in the Australian Grains Trade: An Assessment of Potential Economic Effects," Economic Papers, The Economic Society of Australia, vol. 39(2), pages 152-161, June.
    7. Fugazza, Marco & Maur, Jean-Christophe, 2008. "Non-tariff barriers in CGE models: How useful for policy?," Journal of Policy Modeling, Elsevier, vol. 30(3), pages 475-490.
    8. Javier López González & Marie-Agnes Jouanjean, 2017. "Digital Trade: Developing a Framework for Analysis," OECD Trade Policy Papers 205, OECD Publishing.
    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. Sebastian Doerr & Leonardo Gambacorta & José María Serena Garralda, 2021. "Big data and machine learning in central banking," BIS Working Papers 930, Bank for International Settlements.
    2. Zamani, Omid & Chibanda, Craig & Pelikan, Janine, 2021. "Investigating Alternative Poultry Trade Policies in the Context of African Countries: Evidence from Ghana," 2021 Conference, August 17-31, 2021, Virtual 315173, International Association of Agricultural Economists.
    3. Yan Liu & Qiuju He, 2024. "Digital transformation, external financing, and enterprise resource allocation efficiency," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(4), pages 2321-2335, June.
    4. Saka Jimoh Olakunle, 2023. "Digital Technology and Trade Performance in Sub-Saharan Africa," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 22(3), pages 480-496.
    5. Jeffrey Wagner & Zachary Grzelka, 2024. "Constellation IP and environmental quality," Letters in Spatial and Resource Sciences, Springer, vol. 17(1), pages 1-9, December.
    6. Beck, Ulrik R. & Kruse-Andersen, Peter K. & Stewart, Louis B., 2023. "Carbon leakage in a small open economy: The importance of international climate policies," Energy Economics, Elsevier, vol. 117(C).
    7. Charlotte Emlinger & Houssein Guimbard, 2024. "VIP Pass to Markets: When Customs Certification Helps Firms to Face NTMs," Working Papers 2024-11, CEPII research center.
    8. Laura Abrardi & Carlo Cambini & Laura Rondi, 2022. "Artificial intelligence, firms and consumer behavior: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 969-991, September.
    9. Lan, Sen & Cui, Maosheng, 2024. "Enterprise digital transformation and employment: Spillover effect within supply chains," Finance Research Letters, Elsevier, vol. 67(PB).
    10. Bo Xiong & John Beghin, 2017. "Disentangling Demand-Enhancing And Trade-Cost Effects Of Maximum Residue Regulations," World Scientific Book Chapters, in: John Christopher Beghin (ed.), Nontariff Measures and International Trade, chapter 6, pages 105-108, World Scientific Publishing Co. Pte. Ltd..
    11. Philippidis, George & M'Barek, Robert & Urban-Boysen, Kirsten & Van Zeist, Willem-Jan, 2023. "Exploring economy-wide sustainable conditions for EU bio-chemical activities," Ecological Economics, Elsevier, vol. 210(C).
    12. Murat Genç & David Law, 2014. "A Gravity Model of Barriers to Trade in New Zealand," Treasury Working Paper Series 14/05, New Zealand Treasury.
    13. Avi Collis & Ananya Sen & Joy Wu, 2022. "Demand for Privacy from Data Brokers," Working Papers 22-09, NET Institute.
    14. Julia M. Puaschunder, 2020. "On Freedom in the Artificial Age," Proceedings of the 16th International RAIS Conference, March 30-31, 2020 0011jp, Research Association for Interdisciplinary Studies.
    15. Diane Coyle & Luca Gamberi, 2024. "A real options approach to data valuation," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 59(4), pages 227-234, October.
    16. Yiquan Gu & Leonardo Madio & Carlo Reggiani, 2022. "Data brokers co-opetition [The impact of big data on firm performance: an empirical investigation]," Oxford Economic Papers, Oxford University Press, vol. 74(3), pages 820-839.
    17. Koski, Heli & Fornaro, Paolo, 2024. "Digitalization and Resilience: Data Assets and Firm Productivity Growth During the COVID-19 Pandemic," ETLA Working Papers 113, The Research Institute of the Finnish Economy.
    18. Gang Chen & Xue Dong & Patrick Minford & Guanhua Qiu & Yongdeng Xu & Zequn Xu, 2022. "Computable General Equilibrium Models of Trade in the Modern Trade Policy Debate," Open Economies Review, Springer, vol. 33(2), pages 271-309, April.
    19. Beckman, Jayson & Burfisher, Mary & Mitchell, Lorraine & Arita, Shawn, 2021. "Hidden obstacles to trade: The case of the EU’s Ban on beef hormones," Journal of Policy Modeling, Elsevier, vol. 43(6), pages 1332-1343.
    20. Aikaterini Kavallari & Marie-Luise Rau & Martine Rutten, 2013. "Economic Growth in the Euro-Med Area through Trade Integration: Focus on Agriculture and Food. Regional impact analysis," JRC Research Reports JRC84800, Joint Research Centre.

    More about this item

    Keywords

    ;
    ;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:pugtwp:333441. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/gtpurus.html .

    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.