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Cloud computing and its impact on the Japanese macroeconomy–its oligopolistic market characteristics and social welfare

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  • Ozu, Atsushi
  • Kasuga, Norihiro
  • Morikawa, Hiroyuki

Abstract

The cloud computing market is rapidly expanding and changing the nature of ICT across all sectors; cloud computing transforms ICT from a tool dependent upon investment and physical ownership to one that can easily make use of outside resources. On the other hand, cloud computing services are being provided not only for simple data storage, but for many purposes through several different service models, such as SaaS (Software as a Service), PaaS (Platform as a Service) and IaaS (Infrastructure as a Service). Due to, among other factors, the nature of its network externalities, the market seems to be gradually shifting to a market with oligopolistic characteristics in which the services are provided by a limited number of big-name firms. In this paper, the impact of the shift of the cloud computing market to a market with oligopolistic characteristics on utility-based social welfare is quantitatively estimated and analyzed utilizing DSGE (Dynamic Stochastic General Equilibrium) model-based simulation. The main objectives of the paper, rather than to ascertain the exact change of utility-based social welfare, are (1) to determine whether there is a (realistic) shifting path of macroeconomic variables in Japan’s case, under the shift and (2) to illustrate the dynamic interaction of the macroeconomic variables. Utility-based social welfare is chosen, because for the purpose of evaluating policy measures it would be more suitable than GDP. Also, several kinds of policy measures for the sound development of the cloud computing market that the industry and government can take are discussed in a sense related to a market with oligopolistic characteristics.

Suggested Citation

  • Ozu, Atsushi & Kasuga, Norihiro & Morikawa, Hiroyuki, 2020. "Cloud computing and its impact on the Japanese macroeconomy–its oligopolistic market characteristics and social welfare," Telecommunications Policy, Elsevier, vol. 44(1).
  • Handle: RePEc:eee:telpol:v:44:y:2020:i:1:s0308596118302672
    DOI: 10.1016/j.telpol.2019.101852
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    1. Bresnahan, Timothy F. & Trajtenberg, M., 1995. "General purpose technologies 'Engines of growth'?," Journal of Econometrics, Elsevier, vol. 65(1), pages 83-108, January.
    2. Tom Holden, 2010. "Products, patents and productivity persistence: A DSGE model of endogenous growth," Economics Series Working Papers 512, University of Oxford, Department of Economics.
    3. Florin O. Bilbiie & Fabio Ghironi & Marc J. Melitz, 2012. "Endogenous Entry, Product Variety, and Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 120(2), pages 304-345.
    4. F. Etro, 2009. "The Economic Impact of Cloud Computing on Business Creation, Employment and Output in Europe. An application of the Endogenous Market Structures Approach to a GPT innovation," Review of Business and Economic Literature, Intersentia, vol. 54(2), pages 179-209, June.
    5. Colciago, Andrea & Etro, Federico, 2010. "Real business cycles with Cournot competition and endogenous entry," Journal of Macroeconomics, Elsevier, vol. 32(4), pages 1101-1117, December.
    6. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    7. Matteo Iacoviello & Stefano Neri, 2010. "Housing Market Spillovers: Evidence from an Estimated DSGE Model," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(2), pages 125-164, April.
    8. Caterina Mendicino & Andrea Pescatori, 2004. "Credit Frictions, housing prices and optimal monetary policy Rules," Departmental Working Papers of Economics - University 'Roma Tre' 0042, Department of Economics - University Roma Tre.
    9. Ng, Eric C.Y., 2015. "Housing market dynamics in China: Findings from an estimated DSGE model," Journal of Housing Economics, Elsevier, vol. 29(C), pages 26-40.
    10. Eric Mayer & Johannes Gareis, 2013. "What Drives Ireland’s Housing Market? A Bayesian DSGE Approach," Open Economies Review, Springer, vol. 24(5), pages 919-961, November.
    11. Kuroda, Sachiko & Yamamoto, Isamu, 2008. "Estimating Frisch labor supply elasticity in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 22(4), pages 566-585, December.
    12. Hou, Keqiang & Mountain, Dean C. & Wu, Ting, 2016. "Oil price shocks and their transmission mechanism in an oil-exporting economy: A VAR analysis informed by a DSGE model," Journal of International Money and Finance, Elsevier, vol. 68(C), pages 21-49.
    13. F. Etro, 2009. "The Economic Impact of Cloud Computing on Business Creation, Employment and Output in Europe. An application of the Endogenous Market Structures Approach to a GPT innovation," Review of Business and Economic Literature, Intersentia, vol. 0(2), pages 179-209, June.
    14. Marcelo Sánchez, 2011. "Oil shocks and endogenous markups: results from an estimated euro area DSGE model," International Economics and Economic Policy, Springer, vol. 8(3), pages 247-273, September.
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    1. Lim, Chulmin & Kim, Seongcheol, 2022. "Why would the users of Google's cloud services intend to switch to alternative services?," 31st European Regional ITS Conference, Gothenburg 2022: Reining in Digital Platforms? Challenging monopolies, promoting competition and developing regulatory regimes 265653, International Telecommunications Society (ITS).

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