IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v117y2012i1p280-282.html
   My bibliography  Save this article

On international spillovers

Author

Listed:
  • Bianco, Dominique
  • Niang, Abdou-Aziz

Abstract

This study investigates the role of international spillovers in generating productivity gains for a panel of 24 OECD countries during the period between 1971 and 2004. We use recent techniques developed in a common factor framework to characterize the global interdependence implied by international spillovers and the diffusion mechanisms involved. Consistently with some recent studies in this field, the evidence suggests that there are substantial cross-country spillovers mainly related to R&D and human capital variables, which contribute significantly to productivity.

Suggested Citation

  • Bianco, Dominique & Niang, Abdou-Aziz, 2012. "On international spillovers," Economics Letters, Elsevier, vol. 117(1), pages 280-282.
    • Handle: RePEc:eee:ecolet:v:117:y:2012:i:1:p:280-282
    DOI: 10.1016/j.econlet.2012.05.026
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176512002947
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econlet.2012.05.026?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Markus Eberhardt & Christian Helmers & Hubert Strauss, 2013. "Do Spillovers Matter When Estimating Private Returns to R&D?," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 436-448, May.
    2. Mr. Elhanan Helpman & Mr. David T. Coe & Mr. Willy A Hoffmaister, 1994. "North-South RandD Spillovers," IMF Working Papers 1994/144, International Monetary Fund.
    3. 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.
    4. López-Pueyo, Carmen & Barcenilla-Visús, Sara & Sanaú, Jaime, 2008. "International R&D spillovers and manufacturing productivity: A panel data analysis," Structural Change and Economic Dynamics, Elsevier, vol. 19(2), pages 152-172, June.
    5. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    6. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    7. Lucas, Robert E, Jr, 1993. "Making a Miracle," Econometrica, Econometric Society, vol. 61(2), pages 251-272, March.
    8. John Van Reenen & Rupert Harrison & Rachel Griffith, 2006. "How Special Is the Special Relationship? Using the Impact of U.S. R&D Spillovers on U.K. Firms as a Test of Technology Sourcing," American Economic Review, American Economic Association, vol. 96(5), pages 1859-1875, December.
    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. Coe, David T. & Helpman, Elhanan, 1995. "International R&D spillovers," European Economic Review, Elsevier, vol. 39(5), pages 859-887, May.
    11. Barro, Robert J & Lee, Jong-Wha, 2001. "International Data on Educational Attainment: Updates and Implications," Oxford Economic Papers, Oxford University Press, vol. 53(3), pages 541-563, July.
    12. Cem Ertur & Wilfried Koch, 2007. "Growth, technological interdependence and spatial externalities: theory and evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1033-1062.
    13. Benoit Perron & Hyungsik Roger Moon, 2007. "An empirical analysis of nonstationarity in a panel of interest rates with factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 383-400.
    14. Bai, Jushan & Ng, Serena, 2006. "Evaluating latent and observed factors in macroeconomics and finance," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 507-537.
    15. Lin, Jianhao & Wang, Meijin & Cai, Lingfeng, 2012. "Are the Fama–French factors good proxies for latent risk factors? Evidence from the data of SHSE in China," Economics Letters, Elsevier, vol. 116(2), pages 265-268.
    16. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Carolina Guevara & Corinne Autant-Bernard, 2015. "Technological interdependence between South American countries: a spatial panel data growth model," Revue d'économie régionale et urbaine, Armand Colin, vol. 0(1), pages 181-210.
    2. Fracasso, Andrea & Vittucci Marzetti, Giuseppe, 2015. "International trade and R&D spillovers," Journal of International Economics, Elsevier, vol. 96(1), pages 138-149.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Markus Eberhardt & Francis Teal, 2011. "Econometrics For Grumblers: A New Look At The Literature On Cross‐Country Growth Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 109-155, February.
    2. Tim Buyse & Freddy Heylen & Ruben Schoonackers, 2015. "On The Role Of Public Policies And Wage Formation For Private Investment In R&D: A Long-Run Panel Analysis," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 15/911, Ghent University, Faculty of Economics and Business Administration.
    3. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
    4. Capolupo, Rosa, 2009. "The New Growth Theories and Their Empirics after Twenty Years," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-72.
    5. Ugur, Mehmet & Churchill, Sefa Awaworyi & Luong, Hoang M., 2020. "What do we know about R&D spillovers and productivity? Meta-analysis evidence on heterogeneity and statistical power," Research Policy, Elsevier, vol. 49(1).
    6. Luh, Yir-Hueih & Jiang, Wun-Ji & Huang, Szu-Chi, 2016. "Trade-related spillovers and industrial competitiveness: Exploring the linkages for OECD countries," Economic Modelling, Elsevier, vol. 54(C), pages 309-325.
    7. Glawe, Linda & Wagner, Helmut, 2020. "China in the middle-income trap?," China Economic Review, Elsevier, vol. 60(C).
    8. Afonso, Oscar, 2013. "Diffusion and directed technological knowledge, human capital and wages," Economic Modelling, Elsevier, vol. 31(C), pages 370-382.
    9. Fulvio Castellacci, 2007. "Technological regimes and sectoral differences in productivity growth ," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 16(6), pages 1105-1145, December.
    10. Durlauf, Steven N. & Quah, Danny T., 1999. "The new empirics of economic growth," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 4, pages 235-308, Elsevier.
    11. 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.
    12. Gong, Guan & Keller, Wolfgang, 2003. "Convergence and polarization in global income levels: a review of recent results on the role of international technology diffusion," Research Policy, Elsevier, vol. 32(6), pages 1055-1079, June.
    13. Gioldasis, Georgios & Musolesi, Antonio & Simioni, Michel, 2023. "Interactive R&D spillovers: An estimation strategy based on forecasting-driven model selection," International Journal of Forecasting, Elsevier, vol. 39(1), pages 144-169.
    14. Klenow, Peter J. & Rodriguez-Clare, Andres, 2005. "Externalities and Growth," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 11, pages 817-861, Elsevier.
    15. Andrea Bonaccorsi & Daniele Biancardi & Mabel Sanchez Barrioluengo & Federico Biagi, 2019. "Study on Higher Education Institutions and Local Development," JRC Research Reports JRC117272, Joint Research Centre.
    16. Fatma M. Utku-İsmihan, 2019. "Knowledge, technological convergence and economic growth: a dynamic panel data analysis of Middle East and North Africa and Latin America," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 713-733, March.
    17. Ioannis Bournakis & Dimitris Christopoulos & Sushanta Mallick, 2015. "Knowledge Spillovers, absorptive capacity and growth: An Industry-level Analysis for OECD Countries," Working Papers 57, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    18. Kul Luintel & Mosahid Khan & Konstantinos Theodoridis, 2014. "On the robustness of R&D," Journal of Productivity Analysis, Springer, vol. 42(2), pages 137-155, October.
    19. Nicola Cortinovis & Frank van Oort, 2017. "Between spilling over and boiling down: network-mediated spillovers, absorptive capacity and productivity in European regions," Tinbergen Institute Discussion Papers 17-118/VI, Tinbergen Institute.
    20. Edwin Goni & William F. Maloney, 2014. "Why don’t Poor Countries do R&D?," Documentos CEDE 11947, Universidad de los Andes, Facultad de Economía, CEDE.

    More about this item

    Keywords

    Productivity; Spillovers; R&D; Human capital; Common factors;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecolet:v:117:y:2012:i:1:p:280-282. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.