IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/3415.html
   My bibliography  Save this paper

Coopération en R&D et croissance économique : Une analyse par les données de panel dynamique
[R&D Cooperation and economic growth: A dynamic panel data analysis]

Author

Listed:
  • Sadraoui, Tarek
  • Ben Zina, Naceur

Abstract

Dans ce papier, on se propose d’étudier la relation entre la coopération en R&D et la croissance économique. Nous essayerons d’apporter quelques éclairages théoriques sur les relations de coopération technologique en s’intéressant à l’émergence de la coopération entant que nouveau mode de coordination des activités économiques. Notre étude empirique se base sur différentes méthodes d’estimations développées récemment dans le cadre des panels dynamiques pour un échantillon de 23 pays sur la période 1992-2004. Nous utiliserons la méthode des GMM d’Arellano et Bond (1992), les tests de causalité et de racine unitaire appliqués sur donnée de panel. Les conclusions totales suggèrent une relation positive et significative.

Suggested Citation

  • Sadraoui, Tarek & Ben Zina, Naceur, 2007. "Coopération en R&D et croissance économique : Une analyse par les données de panel dynamique [R&D Cooperation and economic growth: A dynamic panel data analysis]," MPRA Paper 3415, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:3415
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/3415/1/MPRA_paper_3415.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    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. Crepon, Bruno & Kramarz, Francis & Trognon, Alain, 1997. "Parameters of interest, nuisance parameters and orthogonality conditions An application to autoregressive error component models," Journal of Econometrics, Elsevier, vol. 82(1), pages 135-156.
    3. Cozzi, Guido, 1999. "R&D Cooperation and Growth," Journal of Economic Theory, Elsevier, vol. 86(1), pages 17-49, May.
    4. 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.
    5. 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.
    6. Claude Crampes & David Encaoua, 2005. "Microéconomie de l'innovation," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00185310, HAL.
    7. d'Aspremont, Claude & Jacquemin, Alexis, 1990. "Cooperative and Noncooperative R&D in Duopoly with Spillovers: Erratum," American Economic Review, American Economic Association, vol. 80(3), pages 641-642, June.
    8. Davidson, Russell & MacKinnon, James G., 1992. "Regression-based methods for using control variates in Monte Carlo experiments," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 203-222.
    9. Geroski, P A, 1992. "Vertical Relations between Firms and Industrial Policy," Economic Journal, Royal Economic Society, vol. 102(410), pages 138-147, January.
    10. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    11. Richard C. Levin & Alvin K. Klevorick & Richard R. Nelson & Sidney G. Winter, 1987. "Appropriating the Returns from Industrial Research and Development," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 18(3, Specia), pages 783-832.
    12. Michael L. Katz & Janusz A. Ordover, 1990. "R&D Cooperation and Competition," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 21(1990 Micr), pages 137-203.
    13. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    14. Baumol, William J, 1992. "Horizontal Collusion and Innovation," Economic Journal, Royal Economic Society, vol. 102(410), pages 129-137, January.
    15. Hagedoorn, John & Schakenraad, Jos, 1992. "Leading companies and networks of strategic alliances in information technologies," Research Policy, Elsevier, vol. 21(2), pages 163-190, April.
    16. repec:bla:jindec:v:46:y:1998:i:2:p:207-33 is not listed on IDEAS
    17. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    18. David J. Teece, 2003. "Competition, Cooperation, and Innovation Organizational Arrangements for Regimes of Rapid Technological Progress," World Scientific Book Chapters, in: Essays In Technology Management And Policy Selected Papers of David J Teece, chapter 16, pages 447-474, World Scientific Publishing Co. Pte. Ltd..
    19. Beath, John & Poyago-Theotoky, Joanna & Ulph, David, 1998. "Organization Design and Information-Sharing in a Research Joint Venture with Spillovers," Bulletin of Economic Research, Wiley Blackwell, vol. 50(1), pages 47-59, January.
    20. Irwin, Douglas A. & Klenow, Peter J., 1996. "High-tech R&D subsidies Estimating the effects of Sematech," Journal of International Economics, Elsevier, vol. 40(3-4), pages 323-344, May.
    21. Bruno Cassiman & Reinhilde Veugelers, 2002. "R&D Cooperation and Spillovers: Some Empirical Evidence from Belgium," American Economic Review, American Economic Association, vol. 92(4), pages 1169-1184, September.
    22. Baumol, William J., 1997. "Pareto Optimal Sizes of Innovation Spillovers," Working Papers 97-42, C.V. Starr Center for Applied Economics, New York University.
    23. Michael L. Katz, 1986. "An Analysis of Cooperative Research and Development," RAND Journal of Economics, The RAND Corporation, vol. 17(4), pages 527-543, Winter.
    24. Lee Branstetter & Mariko Sakakibara, 1998. "Japanese Research Consortia: A Microeconometric Analysis of Industrial Policy," Journal of Industrial Economics, Wiley Blackwell, vol. 46(2), pages 207-233, June.
    25. Levin, Richard C & Cohen, Wesley M & Mowery, David C, 1985. "R&D Appropriability, Opportunity, and Market Structure: New Evidence on Some Schumpeterian Hypotheses," American Economic Review, American Economic Association, vol. 75(2), pages 20-24, May.
    26. von Hippel, Eric, 1987. "Cooperation between rivals: Informal know-how trading," Research Policy, Elsevier, vol. 16(6), pages 291-302, December.
    27. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    Full references (including those not matched with items on IDEAS)

    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. Barbara ERMINI & Raffaella SANTOLINI, 2013. "Does globalization matter on fiscal decentralization of OECD?," Working Papers 390, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    2. Yongfu Huang, 2011. "Private investment and financial development in a globalized world," Empirical Economics, Springer, vol. 41(1), pages 43-56, August.
    3. Maria Elena Bontempi & Roberto Golinelli, 2012. "The effect of neglecting the slope parameters’ heterogeneity on dynamic models of corporate capital structure," Quantitative Finance, Taylor & Francis Journals, vol. 12(11), pages 1733-1751, November.
    4. Ronald MacDonald & Flávio Vieira, "undated". "A panel data investigation of real exchange rate misalignment and growth," Working Papers 2010_13, Business School - Economics, University of Glasgow.
    5. Revoredo-Giha, Cesar & Leat, Philip M.K. & Renwick, Alan W., 2012. "The relationship between output and unemployment in Scotland: A regional analysis," Working Papers 131465, Scotland's Rural College (formerly Scottish Agricultural College), Land Economy & Environment Research Group.
    6. MAÏ ASSAN CHEDI, Maman, 2022. "Does Defence Expenditure Affect Education and Health expenditures in Saharan Africa?," African Journal of Economic Review, African Journal of Economic Review, vol. 10(4), September.
    7. Sloboda, Brian W. & Sissoko, Yaya, 2020. "Determinants of Economic Growth in ECOWAS Countries: An Empirical Investigation," African Journal of Economic Review, African Journal of Economic Review, vol. 8(2), July.
    8. Sung, Bongsuk & Song, Woo-Yong & Park, Sang-Do, 2018. "How foreign direct investment affects CO2 emission levels in the Chinese manufacturing industry: Evidence from panel data," Economic Systems, Elsevier, vol. 42(2), pages 320-331.
    9. Skare, Marinko & Ozturk, Ilhan & Porada-Rochoń, Małgorzata & Stjepanovic, Sasa, 2024. "Energy as the new frontier: Dynamic panel data analysis revealing energy's transformative role in economic growth and technological progress," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    10. Jaunky, Vishal Chandr, 2012. "Is there a material Kuznets curve for aluminium? evidence from rich countries," Resources Policy, Elsevier, vol. 37(3), pages 296-307.
    11. Alessio Ciarlone, 2019. "The relationship between financial development and growth: the case of emerging Europe," Questioni di Economia e Finanza (Occasional Papers) 521, Bank of Italy, Economic Research and International Relations Area.
    12. Béreau, Sophie & Villavicencio, Antonia López & Mignon, Valérie, 2010. "Nonlinear adjustment of the real exchange rate towards its equilibrium value: A panel smooth transition error correction modelling," Economic Modelling, Elsevier, vol. 27(1), pages 404-416, January.
    13. Ciarreta Antuñano, Aitor & Zárraga Alonso, Ainhoa, 2008. "Economic Growth and Electricity Consumption in 12 European Countries: A Causality Analysis Using Panel Data," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    14. Costantini, Valeria & Martini, Chiara, 2010. "The causality between energy consumption and economic growth: A multi-sectoral analysis using non-stationary cointegrated panel data," Energy Economics, Elsevier, vol. 32(3), pages 591-603, May.
    15. Jin, Taeyoung & Kim, Jinsoo, 2018. "What is better for mitigating carbon emissions – Renewable energy or nuclear energy? A panel data analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 464-471.
    16. Jaewon Lim & DooHwan Won, 2019. "Impact of CARB’s Tailpipe Emission Standard Policy on CO 2 Reduction among the U.S. States," Sustainability, MDPI, vol. 11(4), pages 1-15, February.
    17. Ramiz Rahmanov, 2015. "Banking Sector Development and Household Saving in Emerging Eastern Europe," William Davidson Institute Working Papers Series wp1089, William Davidson Institute at the University of Michigan.
    18. Amri, Fethi, 2016. "The relationship amongst energy consumption, foreign direct investment and output in developed and developing Countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 694-702.
    19. Kaiser, Ulrich & Kuhn, Johan M., 2012. "Long-run effects of public–private research joint ventures: The case of the Danish Innovation Consortia support scheme," Research Policy, Elsevier, vol. 41(5), pages 913-927.
    20. Dehghan Shabani, Zahra & Shahnazi, Rouhollah, 2019. "Energy consumption, carbon dioxide emissions, information and communications technology, and gross domestic product in Iranian economic sectors: A panel causality analysis," Energy, Elsevier, vol. 169(C), pages 1064-1078.

    More about this item

    Keywords

    Coopération en R&D; Croissance économique; Données de panel dynamique; Externalités technologiques;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:3415. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.