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Do Business Visits Cause Productivity Growth?

Author

Listed:
  • Tani, Massimiliano

    (University of New South Wales)

  • Joyeux, Roselyne

    (Macquarie University, Sydney)

Abstract
The production and diffusion of knowledge have increasingly been seen as potential causes of the observed international differences in total factor productivity and, in turn, as possible sources of economic growth. This paper presents the results of a causality study between business visits and multifactor productivity using a unique database that covers 30 sectors for 17 countries over the period 1998-2007. The results suggest that there is a causal link in some of the most innovative sectors from business visits to productivity. Business visits emerge as a fundamental channel for the spread of knowledge.

Suggested Citation

  • Tani, Massimiliano & Joyeux, Roselyne, 2013. "Do Business Visits Cause Productivity Growth?," IZA Discussion Papers 7827, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp7827
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    File URL: https://docs.iza.org/dp7827.pdf
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    References listed on IDEAS

    as
    1. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    2. Georges Bresson & Badi H. Baltagi & Alain Pirotte, 2007. "Panel unit root tests and spatial dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 339-360.
    3. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    4. Wolfgang Keller, 2004. "International Technology Diffusion," Journal of Economic Literature, American Economic Association, vol. 42(3), pages 752-782, September.
    5. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    6. Massimiliano Tani, 2014. "Business Visits and the Quest for External Knowledge," Research in Labor Economics, in: Factors Affecting Worker Well-being: The Impact of Change in the Labor Market, volume 40, pages 293-324, Emerald Group Publishing Limited.
    7. Nune Hovhannisyan & Wolfgang Keller, 2015. "International business travel: an engine of innovation?," Journal of Economic Growth, Springer, vol. 20(1), pages 75-104, March.
    8. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    9. Darren Filson & April Franco, 2000. "Knowledge diffusion through employee mobility," Staff Report 272, Federal Reserve Bank of Minneapolis.
    10. April Mitchell Franco & Darren Filson, 2006. "Spin‐outs: knowledge diffusion through employee mobility," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 841-860, December.
    11. Mary O'Mahony & Marcel P. Timmer, 2009. "Output, Input and Productivity Measures at the Industry Level: The EU KLEMS Database," Economic Journal, Royal Economic Society, vol. 119(538), pages 374-403, June.
    12. Alfonso Gambardella & Myriam Mariani & Salvatore Torrisi, 2009. "How 'Provincial' Is Your Region? Openness and Regional Performance in Europe," Regional Studies, Taylor & Francis Journals, vol. 43(7), pages 935-947.
    13. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    14. Christophe Hurlin & Baptiste Venet, 2008. "Financial Development and Growth: A Re-Examination using a Panel Granger Causality Test," Working Papers halshs-00319995, HAL.
    15. Dahl, Michael S. & Pedersen, Christian O.R., 2004. "Knowledge flows through informal contacts in industrial clusters: myth or reality?," Research Policy, Elsevier, vol. 33(10), pages 1673-1686, December.
    16. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    17. Jasjit Singh, 2005. "Collaborative Networks as Determinants of Knowledge Diffusion Patterns," Management Science, INFORMS, vol. 51(5), pages 756-770, May.
    18. Park, Jungsoo, 2004. "International student flows and R&D spillovers," Economics Letters, Elsevier, vol. 82(3), pages 315-320, March.
    19. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    20. Dowrick, Steve & Tani, Massimiliano, 2011. "International business visits and the technology frontier," Economics Letters, Elsevier, vol. 110(3), pages 209-212, March.
    21. Eric von Hippel, 1994. ""Sticky Information" and the Locus of Problem Solving: Implications for Innovation," Management Science, INFORMS, vol. 40(4), pages 429-439, April.
    22. Meric S. Gertler, 2003. "Tacit knowledge and the economic geography of context, or The undefinable tacitness of being (there)," Journal of Economic Geography, Oxford University Press, vol. 3(1), pages 75-99, January.
    23. April Mitchell Franco & Darren Filson, 2006. "Spin‐outs: knowledge diffusion through employee mobility," RAND Journal of Economics, The RAND Corporation, vol. 37(4), pages 841-860, December.
    24. David Canning & Peter Pedroni, 2008. "Infrastructure, Long‐Run Economic Growth And Causality Tests For Cointegrated Panels," Manchester School, University of Manchester, vol. 76(5), pages 504-527, September.
    25. Thomas Andersen & Carl-Johan Dalgaard, 2011. "Flows of people, flows of ideas, and the inequality of nations," Journal of Economic Growth, Springer, vol. 16(1), pages 1-32, March.
    26. Peter Pedroni, 2001. "Purchasing Power Parity Tests In Cointegrated Panels," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 727-731, November.
    27. Zellner, Christian, 2003. "The economic effects of basic research: evidence for embodied knowledge transfer via scientists' migration," Research Policy, Elsevier, vol. 32(10), pages 1881-1895, December.
    28. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
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    Cited by:

    1. Iheanachor, Nkemdilim & David-West, Yinka & Umukoro, Immanuel Ovemeso, 2021. "Business model innovation at the bottom of the pyramid – A case of mobile money agents," Journal of Business Research, Elsevier, vol. 127(C), pages 96-107.
    2. Arif, Imran, 2019. "How Tall Are the Paper Walls? Barriers to International Mobility and Technology Diusion," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 49(2), October.

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    More about this item

    Keywords

    international business travels; panel data; causality tests;
    All these keywords.

    JEL classification:

    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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