IDEAS home Printed from
   My bibliography  Save this article

Interrelationship among institutional infrastructure, technological innovation and growth. An empirical evidence


  • Gregorio Gimenez
  • Jaime Sanau


This paper uses a multi-equation model to achieve an overall study of two key factors which explain growth, technology and institutions. The paper focuses on the process of the accumulation of these factors and the interrelationship arising among them. A theoretical model is given, together with empirical evidence for the joint impact of these factors on economic growth in a wide-ranging sample of countries between 1985 and 1997. This paper also contributes certain novel aspects in the variables employed. Thus, an indicator of human capital and an index reflecting institutional infrastructure have been used. The human capital indicator considers health, formal education, informal education and accumulated experience. It embraces a wider range of factors than the variables conventionally used in empirical studies. As to the institutional infrastructure index, it has been constructed on the basis of six institutional sub-indices, comprising voice and accountability, political stability, government effectiveness, regulatory quality, rule of law and control of corruption. Thus, the index constructed captures a greater wealth of the items commonly covered by the concept of institutions.

Suggested Citation

  • Gregorio Gimenez & Jaime Sanau, 2007. "Interrelationship among institutional infrastructure, technological innovation and growth. An empirical evidence," Applied Economics, Taylor & Francis Journals, vol. 39(10), pages 1267-1282.
  • Handle: RePEc:taf:applec:v:39:y:2007:i:10:p:1267-1282
    DOI: 10.1080/00036840500438988

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

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

    References listed on IDEAS

    1. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(01), pages 122-150, February.
    2. Chris Brooks & Olan T. Henry & Gita Persand, 2002. "The Effect of Asymmetries on Optimal Hedge Ratios," The Journal of Business, University of Chicago Press, vol. 75(2), pages 333-352, April.
    3. Tae H. Park & Lorne N. Switzer, 1995. "Bivariate GARCH estimation of the optimal hedge ratios for stock index futures: A note," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 15(1), pages 61-67, February.
    4. Anil K. Bera & Philip Garcia & Jae-Sun Roh, 1997. "Estimation of Time-Varying Hedge Ratios for Corn and Soybeans: BGARCH and Random Coefficient Approaches," Finance 9712007, EconWPA.
    5. Baillie, Richard T & Myers, Robert J, 1991. "Bivariate GARCH Estimation of the Optimal Commodity Futures Hedge," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(2), pages 109-124, April-Jun.
    6. Ederington, Louis H, 1979. "The Hedging Performance of the New Futures Markets," Journal of Finance, American Finance Association, vol. 34(1), pages 157-170, March.
    7. repec:cup:etheor:v:11:y:1995:i:1:p:122-50 is not listed on IDEAS
    8. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    9. Alizadeh, Amir H. & Nomikos, Nikos K. & Pouliasis, Panos K., 2008. "A Markov regime switching approach for hedging energy commodities," Journal of Banking & Finance, Elsevier, vol. 32(9), pages 1970-1983, September.
    10. H. N. E. BystrOm, 2003. "The hedging performance of electricity futures on the Nordic power exchange," Applied Economics, Taylor & Francis Journals, vol. 35(1), pages 1-11.
    11. Gagnon, Louis & Lypny, Gregory J. & McCurdy, Thomas H., 1998. "Hedging foreign currency portfolios," Journal of Empirical Finance, Elsevier, vol. 5(3), pages 197-220, September.
    12. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
    13. Hamilton, James D. & Susmel, Raul, 1994. "Autoregressive conditional heteroskedasticity and changes in regime," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 307-333.
    14. Figlewski, Stephen, 1984. " Hedging Performance and Basis Risk in Stock Index Futures," Journal of Finance, American Finance Association, vol. 39(3), pages 657-669, July.
    Full references (including those not matched with items on IDEAS)


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

    Cited by:

    1. Ugur, Mehmet, 2012. "Market Power, Governance and Innovation: OECD Evidence," MPRA Paper 44141, University Library of Munich, Germany.
    2. repec:ucm:wpaper:05-13 is not listed on IDEAS
    3. Isabel Álvarez González & Romilio Labra, 2013. "Identifying the role of natural resources in knowledge-based strategies of development," Working Papers del Instituto Complutense de Estudios Internacionales 1305, Universidad Complutense de Madrid, Instituto Complutense de Estudios Internacionales.
    4. López, Santiago M. & Molero, José & Santos-Arteaga, Francisco J., 2011. "Poverty traps in a frictionless world: The effects of learning and technology assimilation," Structural Change and Economic Dynamics, Elsevier, vol. 22(2), pages 106-115, June.
    5. Galinato, Gregmar I. & Galinato, Suzette P., 2013. "The short-run and long-run effects of corruption control and political stability on forest cover," Ecological Economics, Elsevier, vol. 89(C), pages 153-161.
    6. Ugur, Mehmet, 2012. "Governance, Regulation and Innovation: Introducing New Studies," MPRA Paper 44151, University Library of Munich, Germany, revised Jan 2013.
    7. Gregmar Galinato & Suzette Galinato, 2010. "The Effects of Corruption Control and Political Stability on the Environmental Kuznets Curve of Deforestation-Induced Carbon Dioxide Emissions," Working Papers 2010-9, School of Economic Sciences, Washington State University.

    More about this item


    Access and download statistics


    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:taf:applec:v:39:y:2007:i:10:p:1267-1282. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.