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The productivity paradox: A Meta-analysis

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  • Petr Polák

    (Institute of Economic Studies, Faculty of Social Sciences, Charles University in Prague, Smetanovo nábreží 6, 111 01 Prague 1, Czech Republic)

Abstract

The impact of ICT (information and communication technology) on economic performance has been the subject of academic research for several decades, and despite the remarkable and significant innovation in computer technology, usage, and investments, only a small growth in productivity was observed. This observations has been coined the productivity paradox. This paper meta-analytical methods to examine publication bias and size of ICT elasticity. The empirical part is based on a collection of more than 800 estimates of IT payoff effects from almost 70 studies written in the last 20 years. The metaanalysis reveals strong presence of publication bias within ICT productivity literature and using mixed effect multilevel model estimates the ICT elasticity to be only 0.3%, which is more than ten times smaller than what was reported by previous meta-analysis 10 years ago.

Suggested Citation

  • Petr Polák, 2014. "The productivity paradox: A Meta-analysis," Working Papers IES 2014/28, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2014.
  • Handle: RePEc:fau:wpaper:wp2014_28
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    Cited by:

    1. Stanley, T. D. & Doucouliagos, Chris & Steel, Piers, 2015. "Does ICT generate economic growth? A meta-regression analysis," Working Papers eco_2015_9, Deakin University, Department of Economics.
    2. Bozeman, Barry & Youtie, Jan & Jung, Jiwon, 2020. "Robotic Bureaucracy and Administrative Burden: What Are the Effects of Universities’ Computer Automated Research Grants Management Systems?," Research Policy, Elsevier, vol. 49(6).
    3. Karim, Mohammed Shamsul & Nahar, Sharmin & Demirbag, Mehmet, 2022. "Resource-Based Perspective on ICT Use and Firm Performance: A Meta-analysis Investigating the Moderating Role of Cross-Country ICT Development Status," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    4. Hidemichi Fujii & Akihiko Shinozaki & Shigemi Kagawa & Shunsuke Managi, 2019. "How Does Information and Communication Technology Capital Affect Productivity in the Energy Sector? New Evidence from 14 Countries, Considering the Transition to Renewable Energy Systems," Energies, MDPI, vol. 12(9), pages 1-16, May.
    5. T. D. Stanley & Hristos Doucouliagos & Piers Steel, 2018. "Does Ict Generate Economic Growth? A Meta†Regression Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 32(3), pages 705-726, July.
    6. Stefan Schweikl & Robert Obermaier, 2020. "Lessons from three decades of IT productivity research: towards a better understanding of IT-induced productivity effects," Management Review Quarterly, Springer, vol. 70(4), pages 461-507, November.
    7. Michal Franta & Tibor Hledik & Jan Vlcek & Michal Dvorak & Zlatuse Komarkova & Adam Kucera & Vaclav Broz & Michal Hlavacek, 2018. "Interest Rates," Occasional Publications - Edited Volumes, Czech National Bank, edition 2, volume 16, number rb16/2 edited by Jan Babecky & Volha Audzei.
    8. Olivera Kostoska & Ljupco Kocarev, 2019. "A Novel ICT Framework for Sustainable Development Goals," Sustainability, MDPI, vol. 11(7), pages 1-31, April.
    9. Khanna, Rupika & Sharma, Chandan, 2018. "Testing the effect of investments in IT and R&D on labour productivity: New method and evidence for Indian firms," Economics Letters, Elsevier, vol. 173(C), pages 30-34.
    10. Vaclav Broz & Dominika Kolcunova & Simona Malovana & Lukas Pfeifer, 2018. "Risk-Sensitive Capital Regulation," Occasional Publications - Edited Volumes, Czech National Bank, edition 1, volume 16, number rb16/1 edited by Simona Malovana & Jan Frait.
    11. Aleksandra Parteka & Aleksandra Kordalska, 2022. "Artificial intelligence and productivity: global evidence from AI patent and bibliometric data," GUT FME Working Paper Series A 67, Faculty of Management and Economics, Gdansk University of Technology, revised Sep 2022.
    12. Roland W. Scholz & Eric J. Bartelsman & Sarah Diefenbach & Lude Franke & Arnim Grunwald & Dirk Helbing & Richard Hill & Lorenz Hilty & Mattias Höjer & Stefan Klauser & Christian Montag & Peter Parycek, 2018. "Unintended Side Effects of the Digital Transition: European Scientists’ Messages from a Proposition-Based Expert Round Table," Sustainability, MDPI, vol. 10(6), pages 1-48, June.
    13. Khanna, Rupika & Sharma, Chandan, 2021. "Do technological investments promote manufacturing productivity? A firm-level analysis for India," Economic Modelling, Elsevier, vol. 105(C).
    14. Fabio Pieri & Michela Vecchi & Francesco Venturini, 2017. "Modelling the joint impact of R and D and ICT on productivity: A frontier analysis approach," DEM Working Papers 2017/13, Department of Economics and Management.

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    More about this item

    Keywords

    meta-analysis; meta-regression analysis; publication bias; productivity paradox; Solow paradox; productivity; firm; ICT elasticity; IT payoff; information technology;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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