IDEAS home Printed from https://ideas.repec.org/p/wpa/wuwpge/0409007.html
   My bibliography  Save this paper

A Second-Order Approximation to Technology Choices

Author

Listed:
  • Orlando Gomes

    (Escola Superior de Comunicação Social)

Abstract

Resources used in scientific activities are, as any other, scarce. Hence, the economic system has, in every time moment, to choose how to allocate technological inputs. A technology choices model is developed, where scarce scientific resources are alternatively allocated to basic science activities and to applied technology uses. We find that saddle path stability holds for a not too high intertemporal discount rate. The accomplished result is found for a generic quadratic objective function, that is, for a second-order Taylor series approximation of a felicity function regarding technology development goals.

Suggested Citation

  • Orlando Gomes, 2004. "A Second-Order Approximation to Technology Choices," GE, Growth, Math methods 0409007, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpge:0409007
    Note: Type of Document - pdf; pages: 11
    as

    Download full text from publisher

    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/ge/papers/0409/0409007.pdf
    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 & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    3. Galor, Oded & Tsiddon, Daniel, 1997. "Technological Progress, Mobility, and Economic Growth," American Economic Review, American Economic Association, vol. 87(3), pages 363-382, June.
    4. Pierpaolo Benigno & Michael Woodford, 2004. "Optimal Monetary and Fiscal Policy: A Linear-Quadratic Approach," NBER Chapters, in: NBER Macroeconomics Annual 2003, Volume 18, pages 271-364, National Bureau of Economic Research, Inc.
    5. Adam B. Jaffe & Manuel Trajtenberg, 2005. "Patents, Citations, and Innovations: A Window on the Knowledge Economy," MIT Press Books, The MIT Press, edition 1, volume 1, number 026260065x, April.
    6. Orlando Gomes, 2004. "The Optimal Control of Technology Choices," GE, Growth, Math methods 0409008, University Library of Munich, Germany.
    7. Charles I. Jones, "undated". "Population and Ideas: A Theory of Endogenous Growth," Working Papers 98014, Stanford University, Department of Economics.
    8. Richard R. Nelson & Edmond S. Phelps, 1965. "Investment in Humans, Technological Diffusion and Economic Growth," Cowles Foundation Discussion Papers 189, Cowles Foundation for Research in Economics, Yale University.
    9. Philippe Aghion, 2002. "Schumpeterian Growth Theory and the Dynamics of Income Inequality," Econometrica, Econometric Society, vol. 70(3), pages 855-882, May.
    10. Nancy L. Stokey, 1995. "R&D and Economic Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 62(3), pages 469-489.
    11. Daron Acemoglu, 2002. "Directed Technical Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(4), pages 781-809.
    12. Alain Alcouffe & Thomas Kuhn, 2004. "Schumpeterian endogenous growth theory and evolutionary economics," Journal of Evolutionary Economics, Springer, vol. 14(2), pages 223-236, June.
    13. Segerstrom, Paul S & Anant, T C A & Dinopoulos, Elias, 1990. "A Schumpeterian Model of the Product Life Cycle," American Economic Review, American Economic Association, vol. 80(5), pages 1077-1091, December.
    14. Peter Howitt, 1999. "Steady Endogenous Growth with Population and R & D Inputs Growing," Journal of Political Economy, University of Chicago Press, vol. 107(4), pages 715-730, August.
    15. 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. Oscar Afonso & Alvaro Aguiar, 2003. "Non-Scale Effects of North-South Trade on Economic Growth," DEGIT Conference Papers c008_013, DEGIT, Dynamics, Economic Growth, and International Trade.
    2. Joseph Zeira, 2011. "Innovations, patent races and endogenous growth," Journal of Economic Growth, Springer, vol. 16(2), pages 135-156, June.
    3. Daron Acemoglu & Veronica Guerrieri, 2008. "Capital Deepening and Nonbalanced Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 116(3), pages 467-498, June.
    4. Daron Acemoglu, 2007. "Equilibrium Bias of Technology," Econometrica, Econometric Society, vol. 75(5), pages 1371-1409, September.
    5. Etro, Federico, 2017. "Research in economics and macroeconomics," Research in Economics, Elsevier, vol. 71(3), pages 373-383.
    6. Diana Dimitrova, 2018. "The 2018 Nobel Prize in Economics," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 98-152.
    7. Jones, Charles I., 2005. "Growth and Ideas," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 16, pages 1063-1111, Elsevier.
    8. Zoltán J. Ács & Pontus Braunerhjelm & David B. Audretsch & Bo Carlsson, 2015. "The knowledge spillover theory of entrepreneurship," Chapters, in: Global Entrepreneurship, Institutions and Incentives, chapter 7, pages 129-144, Edward Elgar Publishing.
    9. Zeng, Jinli, 2003. "Reexamining the interaction between innovation and capital accumulation," Journal of Macroeconomics, Elsevier, vol. 25(4), pages 541-560, December.
    10. Maurizio Iacopetta, 2009. "Technological progress and inequality: an ambiguous relationship," Springer Books, in: Uwe Cantner & Jean-Luc Gaffard & Lionel Nesta (ed.), Schumpeterian Perspectives on Innovation, Competition and Growth, pages 181-201, Springer.
    11. Martin Zagler & Georg Dürnecker, 2003. "Fiscal Policy and Economic Growth," Journal of Economic Surveys, Wiley Blackwell, vol. 17(3), pages 397-418, July.
    12. 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.
    13. Orlando Gomes, 2007. "Space, growth and technology: an integrated dynamic approach," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 24(4), pages 248-265, October.
    14. Zbigniew Mogila, 2015. "Conceptual model of the concept of the territorial cohesion," Working Papers 1517, Instytut Rozwoju, Institute for Development.
    15. Holger Strulik, 2005. "The Role of Human Capital and Population Growth in R&D‐based Models of Economic Growth," Review of International Economics, Wiley Blackwell, vol. 13(1), pages 129-145, February.
    16. Daron Acemoglu, 2010. "When Does Labor Scarcity Encourage Innovation?," Journal of Political Economy, University of Chicago Press, vol. 118(6), pages 1037-1078.
    17. Jörg Bühnemann, 2012. "Lissabon 2010 - Eine F&E-orientierte Konzeption neuer Förderregionen," FEMM Working Papers 120008, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    18. Huw Lloyd-Ellis & Joanne Roberts, 2000. "Twin Engines of Growth," Cahiers de recherche CREFE / CREFE Working Papers 118, CREFE, Université du Québec à Montréal.
    19. Luca Spinesi, 2022. "The Environmental Tax: Effects on Inequality and Growth," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(3), pages 529-572, July.
    20. Óscar Afonso & Álvaro Aguiar, 2005. "Price-Channel Effects of North-South Trade on the Direction of Technological Knowledge and Wage Inequality," FEP Working Papers 170, Universidade do Porto, Faculdade de Economia do Porto.

    More about this item

    Keywords

    Technology; Optimal control; Transitional dynamics; Saddle- path stability; Taylor-series expansion;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:wpa:wuwpge:0409007. 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: EconWPA (email available below). General contact details of provider: https://econwpa.ub.uni-muenchen.de .

    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.