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Firm-level analysis of information network use and productivity in Japan

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  • Motohashi, Kazuyuki

Abstract

This paper shows firm level micro analysis of information network use and its impact on firm's productivity. New evidences on economic impacts of IT by type of its application are provided, based on METI's firm level data of Japanese manufacturers and distributors. It is found that productivity impact of information network use is different, depending on application of network. In addition, due to rapid progress of information technology, economic implications of information network are different also by the timing of its introduction. METI's datasets covers information on network use by its type, as well as firm's IT use throughout the period of 1990's. Detail analysis of information network use at Japanese firms can shed a new light on heterogeneous and dynamic nature of firm level IT use and its performance.
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  • Motohashi, Kazuyuki, 2007. "Firm-level analysis of information network use and productivity in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 21(1), pages 121-137, March.
    • Handle: RePEc:eee:jjieco:v:21:y:2007:i:1:p:121-137
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    as
    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. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
    3. Berndt, Ernst R. & Morrison, Catherine J., 1995. "High-tech capital formation and economic performance in U.S. manufacturing industries An exploratory analysis," Journal of Econometrics, Elsevier, vol. 65(1), pages 9-43, January.
    4. Robert J. Gordon, 2000. "Does the "New Economy" Measure Up to the Great Inventions of the Past?," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 49-74, Fall.
    5. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
    6. Brynjolfsson, Erik. & Hitt, Lorin M., 1994. "Information technology as a factor of production : the role of differences among firms," Working papers 3715-94. CCSTR ; #173., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    7. Mark Doms & Timothy Dunne & Kenneth R. Troske, 1997. "Workers, Wages, and Technology," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 253-290.
    8. Dale W. Jorgenson, 2001. "Information Technology and the U.S. Economy," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 5(1), pages 3-34.
    9. B.K. Atrostic & Sang V. Nguyen, 2002. "Computer Networks and U.S. Manufacturing Plant Productivity: New Evidence from the CNUS Data," Working Papers 02-01, Center for Economic Studies, U.S. Census Bureau.
    10. Jorgenson, Dale W. & Motohashi, Kazuyuki, 2005. "Information technology and the Japanese economy," Journal of the Japanese and International Economies, Elsevier, vol. 19(4), pages 460-481, December.
    11. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    12. J. Yannis Bakos & Erik Brynjolfsson, 1997. "From Vendors to Partners: Information Technology and Incomplete Contracts in Buyer-Supplier Relationships," Working Paper Series 154, MIT Center for Coordination Science.
    13. Bresnahan, Timothy F, 1999. "Computerisation and Wage Dispersion: An Analytical Reinterpretation," Economic Journal, Royal Economic Society, vol. 109(456), pages 390-415, June.
    14. Ichniowski, Casey & Shaw, Kathryn & Prennushi, Giovanna, 1997. "The Effects of Human Resource Management Practices on Productivity: A Study of Steel Finishing Lines," American Economic Review, American Economic Association, vol. 87(3), pages 291-313, June.
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    3. Jorgenson, Dale W. & Motohashi, Kazuyuki, 2005. "Information technology and the Japanese economy," Journal of the Japanese and International Economies, Elsevier, vol. 19(4), pages 460-481, December.
    4. Yunhee Kim & Jae Young Choi & Yeonbae Kim, 2009. "Complementarity and Contextuality in the Adoption of Information Systems in Korean Firms," TEMEP Discussion Papers 200919, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Oct 2009.
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    6. Miroslav Titze, 2015. "Netradičná menová politika a kvantitatívne uvolňovanie Centrálnej banky Japonska v rokoch 2001-2006 [Unconvenional Monetary Policy and Quantitative Easing in Japan 2001-2006]," Politická ekonomie, Prague University of Economics and Business, vol. 2015(5), pages 603-623.
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    9. Ouaida, Fadila & El Hajjar, Samer, 2018. "Assessing e-commerce productivity for French micro firms using propensity score matching," Economics Discussion Papers 2018-66, Kiel Institute for the World Economy (IfW Kiel).
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    14. Yunhee Kim & Jae Young Choi & Yeonbae Kim, 2011. "Complementarity and contextuality in the adoption of information systems," Applied Economics Letters, Taylor & Francis Journals, vol. 18(16), pages 1613-1618.
    15. Derya Findik & Aysit Tansel, 2015. "​ Intangible Investment and Technical Efficiency: The Case of Software-Intensive Manufacturing Firms in Turkey," Working Papers 2015/11, Turkish Economic Association.
    16. Seema Sangita, 2021. "Higher Education, Vocational Training and Performance of Firms," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 15(1), pages 122-148, February.
    17. Quirós Romero, Cipriano & Rodríguez Rodríguez, Diego, 2010. "E-commerce and efficiency at the firm level," International Journal of Production Economics, Elsevier, vol. 126(2), pages 299-305, August.
    18. Takuji Fueki & Takuji Kawamoto, 2008. "Does Information Technology Raise Japan's Productivity?," Bank of Japan Working Paper Series 08-E-8, Bank of Japan.
    19. Tomohiro MACHIKITA & Masatsugu TSUJI & Yasushi UEKI, 2010. "How ICTs Raise Manufacturing Performance: Firm-level Evidence in Southeast Asia," Working Papers DP-2010-07, Economic Research Institute for ASEAN and East Asia (ERIA).
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    More about this item

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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