IDEAS home Printed from https://ideas.repec.org/a/agr/journl/vxxxiy2024i4(641)p53-66.html
   My bibliography  Save this article

A simple model of online marketing, production, profit and growth

Author

Listed:
  • Biswajit MANDAL

    (Visva-Bharati University, India)

  • Labani Roy CHAKRABORTY

    (Visva-Bharati University, India)

  • Alapan SANYAL

    (Visva-Bharati University, India)

Abstract

We build an optimization model to decipher the effects of digitalization in trading or marketing. The basic model uses Cobb -Douglas production function to argue that a shift from offline to online may induce increase in profit and subsequent economic growth. The factor-intensity of trading has a role in this context. Additionally, night time utilization due to digitalization further strengthens our results. The extended model with a CES production function gives similar results. However, revenue and cost implications are not same in these two cases. Nevertheless, the essence of the basic results holds true even in a more generalized case.

Suggested Citation

  • Biswajit MANDAL & Labani Roy CHAKRABORTY & Alapan SANYAL, 2024. "A simple model of online marketing, production, profit and growth," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(4(641), W), pages 53-66, Winter.
    • Handle: RePEc:agr:journl:v:xxxi:y:2024:i:4(641):p:53-66
    as

    Download full text from publisher

    File URL: http://store.ectap.ro/articole/1785.pdf
    Download Restriction: no
    File URL: http://www.ectap.ro/articol.php?id=1785&rid=157
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mandal, Biswajit & Marjit, Sugata, 2010. "Corruption and wage inequality?," International Review of Economics & Finance, Elsevier, vol. 19(1), pages 166-172, January.
    2. Alan V. Deardorff, 2014. "Local comparative advantage: Trade costs and the pattern of trade," International Journal of Economic Theory, The International Society for Economic Theory, vol. 10(1), pages 9-35, March.
    3. Gordon, Robert J., 2018. "Why Has Economic Growth Slowed When Innovation Appears To Be Accelerating?," CEPR Discussion Papers 13039, C.E.P.R. Discussion Papers.
    4. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation, and Work," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236, National Bureau of Economic Research, Inc.
    5. Robert J. Gordon, 2018. "Why Has Economic Growth Slowed When Innovation Appears to be Accelerating?," NBER Working Papers 24554, National Bureau of Economic Research, Inc.
    6. Falvey, Rodney E, 1976. "Transport Costs in the Pure Theory of International Trade," Economic Journal, Royal Economic Society, vol. 86(343), pages 536-550, September.
    7. Sugata Marjit & Biswajit Mandal, 2012. "Domestic trading costs and pure theory of international trade," International Journal of Economic Theory, The International Society for Economic Theory, vol. 8(2), pages 165-178, June.
    8. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    9. 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.
    10. Daniel McFadden, 1963. "Constant Elasticity of Substitution Production Functions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 30(2), pages 73-83.
    11. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
    12. Dixit, Avinash K & Stiglitz, Joseph E, 1977. "Monopolistic Competition and Optimum Product Diversity," American Economic Review, American Economic Association, vol. 67(3), pages 297-308, June.
    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. Mandal, Biswajit & Roy Chakraborty, Labani & Sanyal, Alapan, 2023. "A Hybrid Mode of Production, Transaction, and Economic Growth: Implication of Digitalization," MPRA Paper 116960, University Library of Munich, Germany.
    2. Biswajit Mandal & Sugata Marjit, 2012. "Capital inflow, vanishing sector and wage distribution in an economy with corruption related intermediation," Economics Bulletin, AccessEcon, vol. 32(3), pages 2128-2135.
    3. Kexu Wu & Zhiwei Tang & Longpeng Zhang, 2022. "Population Aging, Industrial Intelligence and Export Technology Complexity," Sustainability, MDPI, vol. 14(20), pages 1-24, October.
    4. Baqaee, David Rezza & Farhi, Emmanuel, 2018. "The Microeconomic foundations of Aggregate Production Functions," CEPR Discussion Papers 13362, C.E.P.R. Discussion Papers.
    5. Mutascu, Mihai, 2021. "Artificial intelligence and unemployment: New insights," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 653-667.
    6. Lei Xia & Qingjiang Han & Shui Yu, 2024. "RETRACTED ARTICLE: Sustainable manufacturing intelligence: pathways for high-quality and energy efficient economic growth," Economic Change and Restructuring, Springer, vol. 57(3), pages 1-30, June.
    7. Anna-Maria Kanzola, 2024. "The Knowledge Content of the Greek Production Structure in the Aftermath of the Greek Crisis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 936-957, March.
    8. repec:eur:ejesjr:364 is not listed on IDEAS
    9. Sasaki, Hiroaki, 2023. "Growth with automation capital and declining population," Economics Letters, Elsevier, vol. 222(C).
    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. 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.
    12. Geiger, Niels & Prettner, Klaus & Schwarzer, Johannes A., 2018. "Automatisierung, Wachstum und Ungleichheit," Hohenheim Discussion Papers in Business, Economics and Social Sciences 13-2018, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    13. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "Economic Policy for Artificial Intelligence," Innovation Policy and the Economy, University of Chicago Press, vol. 19(1), pages 139-159.
    14. Gregory Casey & Ryo Horii, 2019. "A Multi-factor Uzawa Growth Theorem and Endogenous Capital-Augmenting Technological Change," 2019 Meeting Papers 1458, Society for Economic Dynamics.
    15. Cerra,Valerie & Lama,Ruy & Loayza,Norman V., 2021. "Links between Growth, Inequality, and Poverty : A Survey," Policy Research Working Paper Series 9603, The World Bank.
    16. Zhu, Jun & Zhang, Jingting & Feng, Yiqing, 2022. "Hard budget constraints and artificial intelligence technology," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    17. Naudé, Wim, 2019. "The decline in entrepreneurship in the West: Is complexity ossifying the economy?," MERIT Working Papers 2019-030, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    18. Mandal, Biswajit & Marjit, Sugata, 2013. "Trade reform, intermediation and corruption," Economic Modelling, Elsevier, vol. 33(C), pages 741-746.
    19. Nils Grashof & Alexander Kopka, 2023. "Widening or closing the gap? The relationship between artificial intelligence, firm-level productivity and regional clusters," Bremen Papers on Economics & Innovation 2304, University of Bremen, Faculty of Business Studies and Economics.
    20. Ping Chen & Jiawei Gao & Zheng Ji & Han Liang & Yu Peng, 2022. "Do Artificial Intelligence Applications Affect Carbon Emission Performance?—Evidence from Panel Data Analysis of Chinese Cities," Energies, MDPI, vol. 15(15), pages 1-16, August.
    21. Naudé, Wim, 2019. "The Race against the Robots and the Fallacy of the Giant Cheesecake: Immediate and Imagined Impacts of Artificial Intelligence," IZA Discussion Papers 12218, Institute of Labor Economics (IZA).

    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:agr:journl:v:xxxi:y:2024:i:4(641):p:53-66. 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: Mircea Dinu (email available below). General contact details of provider: https://edirc.repec.org/data/agerrea.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.