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Open Data as an Infrastructure ?Impact of Availability of Government Data as Open Data on the Japanese Economy?

Author

Listed:
  • Hideyuki Tanaka

    (Professor, Interfaculty Initiative in Information Studies/ Graduate School of Interdisciplinary Information Studies, The University of Tokyo)

  • Soichiro Takagi

    (Associate Professor, Center for Global Communications, International University of Japan Visiting Associate Professor, Interfaculty Initiative in Information Studies, The University of Tokyo)

Abstract

This study regards the data owned by national and local governments (public data) as infrastructure that will support the future development of Japanese society and economy. This article estimated the volume of public and private database assets and the impact of the provision of public sector data as open data on Japanese macro-economy. The study estimated the value of data stocks owned by administrative bodies as well as private corporations by regarding them as gdatabase assets h, and simulated the impact of the provision of public data as open data on Japanese macro-economy. The estimated value of data assets comes to about 2.7 trillion yen for private sector data and about 3.7 trillion yen for public sector data. The provision of public data as open data was estimated to boost up GDP by 158.6 billion yen to 701 billion yen, depending on the assumed parameters. The study clarified the potential of public data to be used as a new type of infrastructure and showed the effect of such use quantitatively by estimates based on published data, thereby could contribute to the related fields of study.

Suggested Citation

  • Hideyuki Tanaka & Soichiro Takagi, 2016. "Open Data as an Infrastructure ?Impact of Availability of Government Data as Open Data on the Japanese Economy?," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 12(1), pages 23-46, March.
    • Handle: RePEc:mof:journl:ppr012_01b
    as

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    References listed on IDEAS

    as
    1. Nicky J. Welton & Howard H. Z. Thom, 2015. "Value of Information," Medical Decision Making, , vol. 35(5), pages 564-566, July.
    2. Sydler, Renato & Haefliger, Stefan & Pruksa, Robert, 2014. "Measuring intellectual capital with financial figures: Can we predict firm profitability?," European Management Journal, Elsevier, vol. 32(2), pages 244-259.
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    More about this item

    Keywords

    Open data; public data; infrastructure;
    All these keywords.

    JEL classification:

    • E65 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Studies of Particular Policy Episodes
    • H49 - Public Economics - - Publicly Provided Goods - - - Other
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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