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The Evaluation of Impacts of Knowledge-Based Economy Factors on the Improvement of Total Factor Productivity (a Comparative Study of Emerging and G7 Economies)

Author

Listed:
  • Abolfazl Shahabadi

    (Bu-Ali Sina University)

  • Fatemeh Kimiaei

    (Institute for Humanities and Cultural Studies)

  • Mohammad Arbab Afzali

    (Monetary and Banking Research Institute (MBRI))

Abstract

This essay evaluates the impacts of knowledge-based economy factors on the total factor productivity (TFP) of emerging economies (the countries known as emerging economies are Brazil, Russia, India, China, South Korea, South Africa, and Singapore) and compares them with G7 economies using panel data analysis during 1996–2013. The results indicate that the ratio of ICT capital stock to GDP and the ratio of foreign R&D capital stock to GDP have the greatest positive impact on TFP, respectively, in emerging economies. But the ratio of domestic R&D capital stock to GDP and the ratio of education costs to GDP in emerging economies comparing to the developed countries of G7 have a less influential impact on TFP. However, in these countries, we see the positive effect of foreign R&D stock through the acquisition of commercial partners’ technologies via imports and customizing them according to local needs and using this factor beside domestic R&D activities which provides a proper atmosphere for improvement of TFP and approaching a knowledge-based economy.

Suggested Citation

  • Abolfazl Shahabadi & Fatemeh Kimiaei & Mohammad Arbab Afzali, 2018. "The Evaluation of Impacts of Knowledge-Based Economy Factors on the Improvement of Total Factor Productivity (a Comparative Study of Emerging and G7 Economies)," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(3), pages 896-907, September.
  • Handle: RePEc:spr:jknowl:v:9:y:2018:i:3:d:10.1007_s13132-016-0379-3
    DOI: 10.1007/s13132-016-0379-3
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    References listed on IDEAS

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    1. Antonio Musolesi, 2007. "R&D and productivity in 16 OECD countries: some heterogeneous panel estimations," Applied Economics Letters, Taylor & Francis Journals, vol. 14(7), pages 493-496.
    2. Mr. David T. Coe & Mr. Willy A Hoffmaister, 1999. "Are There International R&D Spillovers Among Randomly Matched Trade Partners? A Response to Keller," IMF Working Papers 1999/018, International Monetary Fund.
    3. Coe, David T. & Helpman, Elhanan, 1995. "International R&D spillovers," European Economic Review, Elsevier, vol. 39(5), pages 859-887, May.
    4. Mendi, Pedro, 2007. "Trade in disembodied technology and total factor productivity in OECD countries," Research Policy, Elsevier, vol. 36(1), pages 121-133, February.
    5. 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.
    6. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    7. Shiu, Alice & Heshmati, Almas, 2006. "Technical Change and Total Factor Productivity Growth for Chinese Provinces: A Panel Data Analysis," Ratio Working Papers 98, The Ratio Institute.
    8. Schiff, Maurice & Wang, Yanling, 2009. "North-South Trade-related Technology Diffusion, Brain Drain and Productivity Growth: Are Small States Different?," Policy Research Working Paper Series 4828, The World Bank.
    9. Coe, David T. & Helpman, Elhanan & Hoffmaister, Alexander W., 2009. "International R&D spillovers and institutions," European Economic Review, Elsevier, vol. 53(7), pages 723-741, October.
    10. Paul M. Romer, 1987. "Crazy Explanations for the Productivity Slowdown," NBER Chapters, in: NBER Macroeconomics Annual 1987, Volume 2, pages 163-210, National Bureau of Economic Research, Inc.
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    Cited by:

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    2. Shumaila Zeb, 2022. "The role of knowledge economy in Asian business," Future Business Journal, Springer, vol. 8(1), pages 1-13, December.

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    More about this item

    Keywords

    Total factor productivity (TFP); Research and development (R&D); Human capital; Knowledge-based economy;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production

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