IDEAS home Printed from https://ideas.repec.org/a/ttu/rebcee/75.html
   My bibliography  Save this article

Complex Endogenous Growth Model and Its Applications

Author

Listed:
  • Robert Kitt

Abstract

In this paper, social complex systems are applied to the endogenous economic growth model. It is discussed that the economic growth put forward in Romer’s endogenous growth model is not continuous, but is rather in the functional shape of the bifurcations known to the natural sciences. The author has proposed that the level of development (factor A in a classic growth model) should be the superposition of the structures of science and real economy in the observed country. The conclusion is drawn that closer correspondence between business and R&D results in (i) higher economic output for the country; and (ii) a greater resilience to external shocks. This is especially important for small open economies with distinct cultures and languages (e.g. Estonia), that should simultaneously increase its citizens well-being, but must account for exogenous economic and technological factors. It is concluded that under the assumptions of complexity, a state’s economic growth model should (i) strive for horizontally and vertically diversified risks, as well as (ii) assume that none of its society’s members is left behind in terms of education, employment, and general wellbeing.

Suggested Citation

  • Robert Kitt, 2016. "Complex Endogenous Growth Model and Its Applications," Research in Economics and Business: Central and Eastern Europe, Tallinn School of Economics and Business Administration, Tallinn University of Technology, vol. 8(1).
    • Handle: RePEc:ttu:rebcee:75
    as

    Download full text from publisher

    File URL: http://www.rebcee.eu/index.php/REB/article/download/75/61
    Download Restriction: no
    File URL: http://www.rebcee.eu/index.php/REB/article/view/75
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Aghion, Philippe & Akcigit, Ufuk & Howitt, Peter, 2014. "What Do We Learn From Schumpeterian Growth Theory?," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 0, pages 515-563, Elsevier.
    3. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    4. Tönu Puu, 2015. "Arts, Sciences, and Economics," Springer Books, Springer, edition 2, number 978-3-662-44130-5, July.
    5. Peter Howitt, 2007. "Innovation, Competition and Growth: A Schumpeterian Perspective on Canada’s Economy," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 246, February.
    6. Elsner, Wolfram, 2015. "Policy Implications of Economic Complexity and Complexity Economics," MPRA Paper 63252, University Library of Munich, Germany.
    7. Steven N. Durlauf, 2012. "Complexity, economics, and public policy," Politics, Philosophy & Economics, , vol. 11(1), pages 45-75, February.
    8. Stanley, H. Eugene & Plerou, Vasiliki & Gabaix, Xavier, 2008. "A statistical physics view of financial fluctuations: Evidence for scaling and universality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(15), pages 3967-3981.
    9. Tacchella, A. & Cristelli, M. & Caldarelli, G. & Gabrielli, A. & Pietronero, L., 2013. "Economic complexity: Conceptual grounding of a new metrics for global competitiveness," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1683-1691.
    10. 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)

    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. Jeon, Heesang, 2015. "Knowledge and Contemporary Capitalism in Light of Marx's Value Theory," Thesis Commons g5njk, Center for Open Science.
    2. Gros, Daniel & Alcidi, Cinzia, 2014. "The Global Economy in 2030: Trends and Strategies for Europe," CEPS Papers 9142, Centre for European Policy Studies.
    3. Jeon, Heesang, 2015. "Knowledge and Contemporary Capitalism in Light of Marx's Value Theory," Thesis Commons g5njk_v1, Center for Open Science.
    4. Michaël Assous & Muriel Dal Pont Legrand & Harald Hagemann, 2016. "Business cycles and growth," Chapters, in: Gilbert Faccarello & Heinz D. Kurz (ed.), Handbook on the History of Economic Analysis Volume III, chapter 4, pages 27-39, Edward Elgar Publishing.
    5. Amavilah, Voxi Heinrich, 2014. "Knowledge = Technology + Human Capital and the Lucas and Romer Production Functions," MPRA Paper 58847, University Library of Munich, Germany.
    6. Rao, B. Bhaskara, 2010. "Estimates of the steady state growth rates for selected Asian countries with an extended Solow model," Economic Modelling, Elsevier, vol. 27(1), pages 46-53, January.
    7. Carine Nourry, 2012. "Dasgupta, D.: Modern growth theory," Journal of Economics, Springer, vol. 105(1), pages 97-100, January.
    8. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 1996. "The Poverty of Nations: A Quantitative Exploration," NBER Working Papers 5414, National Bureau of Economic Research, Inc.
    9. Wilson, E.J. & Chaudhri, D.P., 2000. "Endogeneity, Knowledge and Dynamics of Long Run Capitalist Economic Growth," Economics Working Papers wp00-03, School of Economics, University of Wollongong, NSW, Australia.
    10. Philippe Michel & Antoine d'Autume, 1993. "Hystérésis et piège du sous-développement dans un modèle de croissance endogène," Revue Économique, Programme National Persée, vol. 44(2), pages 431-450.
    11. Dekle, Robert & Eaton, Jonathan, 1999. "Agglomeration and Land Rents: Evidence from the Prefectures," Journal of Urban Economics, Elsevier, vol. 46(2), pages 200-214, September.
    12. Carlino, Gerald & Kerr, William R., 2015. "Agglomeration and Innovation," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 349-404, Elsevier.
    13. Mori, Tomoya & Sakaguchi, Shosei, 2018. "Collaborative knowledge creation: Evidence from Japanese patent data," MPRA Paper 88716, University Library of Munich, Germany.
    14. van de Klundert, Theo & Smulders, Sjak, 1995. "Strategies for Growth in a Macroeconomic Setting," The Manchester School of Economic & Social Studies, University of Manchester, vol. 63(4), pages 388-411, December.
    15. ?gel de la Fuente, "undated". "Convergence Across Countries And Regions: Theory And Empirics," UFAE and IAE Working Papers 447.00, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    16. Julio Dávila, 2023. "Bequests or education," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 75(4), pages 1039-1069, May.
    17. Pop Silaghi, Monica Ioana & Alexa, Diana & Jude, Cristina & Litan, Cristian, 2014. "Do business and public sector research and development expenditures contribute to economic growth in Central and Eastern European Countries? A dynamic panel estimation," Economic Modelling, Elsevier, vol. 36(C), pages 108-119.
    18. Jun, Bogang & Kim, Tai-Yoo, 2015. "A neo-Schumpeterian perspective on the analytical macroeconomic framework: The expanded reproduction system," Hohenheim Discussion Papers in Business, Economics and Social Sciences 11-2015, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    19. Zhang, Xiaobei & Wang, Xiaojun, 2021. "Measures of human capital and the mechanics of economic growth," China Economic Review, Elsevier, vol. 68(C).

    More about this item

    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:ttu:rebcee:75. 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: Anneli Kalm (email available below). General contact details of provider: https://edirc.repec.org/data/fettuee.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.