IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/116837.html
   My bibliography  Save this paper

E-Commerce in Asia: A Study of Its Economic Impact on the Region

Author

Listed:
  • Dayal Saraswat, Kinshuk

Abstract

In Asia, e-commerce has the potential to generate considerable economic benefits due to the significant opportunities it offers. Recent years have seen a significant development in the global economy that has been referred to as e-commerce (electronic commerce). In order for the Asian countries to be able to take advantage of the opportunities presented by this global trend of growth, they will still have to make progress in areas such as connectivity, services, rules and regulations, as well as labour skills. As a result of government policy, the market can be assisted to maximize the benefits of the information revolution, and to mitigate the risk of potential market failure, as well as to facilitate market mechanisms that will facilitate the transition. E-commerce has the potential to play a significant role in the development of Asia and the Pacific as a whole. Over the last few years, the Asia Pacific region has grown at the fastest pace compared to any other region of the global business-to-consumer e-commerce market, making up the majority of the global e-commerce market in the business-to-consumer segment. It is expected that Asian and Pacific countries will have a 25% share of e-commerce in their Gross Domestic Product by the end of 2025, according to the World Bank. Among the many advantages of e-commerce for small and medium-sized businesses, one of the most notable is the ability to reach global markets and to compete at a global level.

Suggested Citation

  • Dayal Saraswat, Kinshuk, 2021. "E-Commerce in Asia: A Study of Its Economic Impact on the Region," MPRA Paper 116837, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:116837
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/116837/1/MPRA_paper_116837.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ralph L. Keeney, 1999. "The Value of Internet Commerce to the Customer," Management Science, INFORMS, vol. 45(4), pages 533-542, April.
    2. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    3. Kozinets, Robert V., 1999. "E-tribalized marketing?: the strategic implications of virtual communities of consumption," European Management Journal, Elsevier, vol. 17(3), pages 252-264, June.
    4. E. Burton Swanson, 1994. "Information Systems Innovation Among Organizations," Management Science, INFORMS, vol. 40(9), pages 1069-1092, September.
    5. Vulkan, Nir, 1999. "Economic Implications of Agent Technology and E-Commerce," Economic Journal, Royal Economic Society, vol. 109(453), pages 67-90, February.
    6. James R. Hines & Eric M. Rice, 1994. "Fiscal Paradise: Foreign Tax Havens and American Business," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(1), pages 149-182.
    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. Rajiv D. Banker & Robert J. Kauffman, 2004. "50th Anniversary Article: The Evolution of Research on Information Systems: A Fiftieth-Year Survey of the Literature in Management Science," Management Science, INFORMS, vol. 50(3), pages 281-298, March.
    2. Milan Kumar Das & Anindya Goswami, 2019. "Testing of binary regime switching models using squeeze duration analysis," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 6(01), pages 1-20, March.
    3. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    4. David Andolfatto & Paul Gomme, 2003. "Monetary Policy Regimes and Beliefs," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(1), pages 1-30, February.
    5. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    6. Perron, Pierre & Wada, Tatsuma, 2016. "Measuring business cycles with structural breaks and outliers: Applications to international data," Research in Economics, Elsevier, vol. 70(2), pages 281-303.
    7. Nemati, Mehdi & Saghaian, Sayed H., 2016. "Dynamics of Price Adjustment in Qualitatively Differentiated Markets in the U.S.: The Case of Organic and Conventional Apples," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229950, Southern Agricultural Economics Association.
    8. Flavin, Thomas J. & Panopoulou, Ekaterini & Unalmis, Deren, 2008. "On the stability of domestic financial market linkages in the presence of time-varying volatility," Emerging Markets Review, Elsevier, vol. 9(4), pages 280-301, December.
    9. Shyh-Wei Chen, 2008. "Non-stationarity and Non-linearity in Stock Prices: Evidence from the OECD Countries," Economics Bulletin, AccessEcon, vol. 3(11), pages 1-11.
    10. David Bolder & Shudan Liu, 2007. "Examining Simple Joint Macroeconomic and Term-Structure Models: A Practitioner's Perspective," Staff Working Papers 07-49, Bank of Canada.
    11. Candelon, Bertrand & Lieb, Lenard, 2013. "Fiscal policy in good and bad times," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2679-2694.
    12. Francesco Bianchi, 2013. "Regime Switches, Agents' Beliefs, and Post-World War II U.S. Macroeconomic Dynamics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(2), pages 463-490.
    13. Céline Azemar & Grégory Corcos & Andrew Delios, 2006. "Taxation and the international strategy of Japanese multinational enterprises," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00590421, HAL.
    14. Niels Johannesen & Thomas Tørsløv & Ludvig Wier, 2016. "Are less developed countries more exposed to multinational tax avoidance? Method and evidence from micro-data," WIDER Working Paper Series 010, World Institute for Development Economic Research (UNU-WIDER).
    15. Saki Bigio & Eduardo Zilberman, 2020. "Speculation-Driven Business Cycles," Working Papers Central Bank of Chile 865, Central Bank of Chile.
    16. René Garcia & Richard Luger & Eric Renault, 2000. "Asymmetric Smiles, Leverage Effects and Structural Parameters," Working Papers 2000-57, Center for Research in Economics and Statistics.
    17. Muñoz, Mª Pilar & Márquez, María Dolores & Sánchez, Josep A., 2011. "Contagion between United States and european markets during the recent crises," MPRA Paper 35993, University Library of Munich, Germany.
    18. Garcia, Rene, 1998. "Asymptotic Null Distribution of the Likelihood Ratio Test in Markov Switching Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(3), pages 763-788, August.
    19. Ning, Ye & Zhang, Lingxiang, 2018. "Modeling dynamics of short-term international capital flows in China: A Markov regime switching approach," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 193-203.
    20. Matthias Krapf & David Staubli, 2020. "The Corporate Elasticity of Taxable Income: Event Study Evidence from Switzerland," CESifo Working Paper Series 8715, CESifo.

    More about this item

    Keywords

    global economy; intergovernmental cooperation; e-transactions; cybersecurity; big data analytics; the internet of things (IoT); artificial intelligence (AI); augmented reality (AR); virtual reality (VR); and blockchain technology;
    All these keywords.

    JEL classification:

    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • L8 - Industrial Organization - - Industry Studies: Services
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

    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:pra:mprapa:116837. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.