IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-08o30012.html
   My bibliography  Save this article

Scale effect on endogenous growth: an evaluation

Author

Listed:
  • francesco schettino

    (Università di roma La Sapienza)

Abstract

The aim of this paper is to empirically evaluate the “scale effect” as in Segerstrom (1998). To this end, we firstly build a new concordance table between SIC and USPCS codes. Then we analyze the difficulty index of each U.S. manufacturing industry using the patents forward citations data. Finally we evaluate by SUR method the relation between the difficulty index and the number of S&E by industry. Our investigation concludes showing that in the traditional sectors the “scale effect” is lower than in the new ones.

Suggested Citation

  • francesco schettino, 2009. "Scale effect on endogenous growth: an evaluation," Economics Bulletin, AccessEcon, vol. 29(1), pages 205-213.
    • Handle: RePEc:ebl:ecbull:eb-08o30012
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2009/Volume29/EB-09-V29-I1-P21.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bronwyn H. Hall & Adam B. Jaffe & Manuel Trajtenberg, 2001. "The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools," NBER Working Papers 8498, National Bureau of Economic Research, Inc.
    2. Segerstrom, Paul S, 1998. "Endogenous Growth without Scale Effects," American Economic Review, American Economic Association, vol. 88(5), pages 1290-1310, December.
    3. Romer, Paul M., 1990. "Human capital and growth: Theory and evidence," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 32(1), pages 251-286, January.
    4. Francesco Schettino, 2005. "The Role of Anti-Spying Acts on R&D Patents Dynamics," Rivista di Politica Economica, SIPI Spa, vol. 95(5), pages 125-142, September.
    5. Francesco Schettino, 2007. "Us Patent Citations Data And Industrial Knowledge Spillovers," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 16(8), pages 595-633.
    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. Francesco Schettino, 2005. "An empirical analysis of endogenous growth without scale effect," GE, Growth, Math methods 0505006, University Library of Munich, Germany.
    2. Gancia, Gino & Bonfiglioli, Alessandra, 2008. "North-South trade and directed technical change," Journal of International Economics, Elsevier, vol. 76(2), pages 276-295, December.
    3. Impullitti, Giammario & Akcigit, Ufuk & Ates, Sina T., 2018. "Innovation and Trade Policy in a Globalized World," CEPR Discussion Papers 15804, C.E.P.R. Discussion Papers.
    4. Drivas, Kyriakos & Economidou, Claire & Karamanis, Dimitrios & Sanders, Mark, 2020. "Mobility of highly skilled individuals and local innovation activity," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    5. Jakub Growiec & Ingmar Schumacher, 2013. "Technological opportunity, long-run growth, and convergence," Oxford Economic Papers, Oxford University Press, vol. 65(2), pages 323-351, April.
    6. Benjamin F. Jones, 2009. "The Burden of Knowledge and the "Death of the Renaissance Man": Is Innovation Getting Harder?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(1), pages 283-317.
    7. Minniti, A. & Parello, C. & Segerstrom, P. S., 2008. "A Schumpeterian Growth Model with Heterogenous Firms," MPRA Paper 13674, University Library of Munich, Germany.
    8. Drivas, Kyriakos & Economidou, Claire & Karkalakos, Sotiris & Tsionas, Efthymios G., 2016. "Mobility of knowledge and local innovation activity," European Economic Review, Elsevier, vol. 85(C), pages 39-61.
    9. Minniti, Antonio & Venturini, Francesco, 2017. "The long-run growth effects of R&D policy," Research Policy, Elsevier, vol. 46(1), pages 316-326.
    10. Wonchang Hur, 2017. "The patterns of knowledge spillovers across technology sectors evidenced in patent citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 595-619, May.
    11. Oluremi Ogun, 2015. "A Fundamental-based Approach to Productivity Growth," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 43(3), pages 383-392, September.
    12. George Messinis, 2011. "Triadic citations, country biases and patent value: the case of pharmaceuticals," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 813-833, December.
    13. Angus Chu, 2009. "Effects of blocking patents on R&D: a quantitative DGE analysis," Journal of Economic Growth, Springer, vol. 14(1), pages 55-78, March.
    14. Alessandro Caiani, 2017. "Innovation Dynamics and Industry Structure Under Different Technological Spaces," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 307-341, November.
    15. Дементьев В.Е., 2013. "Структурные Факторы Технологического Развития," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 49(4), pages 33-46, октябрь.
    16. Igna, Ioana A., 2018. "The effects of educational mismatch on inventor productivity. Evidence from Sweden, 2003-2010," Papers in Innovation Studies 2018/8, Lund University, CIRCLE - Centre for Innovation Research.
    17. A. Minniti & F. Venturini, 2014. "R&D Policy and Schumpeterian Growth: Theory and Evidence," Working Papers wp945, Dipartimento Scienze Economiche, Universita' di Bologna.
    18. Venturini, Francesco, 2012. "Looking into the black box of Schumpeterian growth theories: An empirical assessment of R&D races," European Economic Review, Elsevier, vol. 56(8), pages 1530-1545.
    19. Chen, Derek H. C. & Dahlman, Carl J., 2004. "Knowledge and development : a cross-section approach," Policy Research Working Paper Series 3366, The World Bank.
    20. Antonio Minniti & Carmelo Parello & Paul Segerstrom, 2013. "A Schumpeterian growth model with random quality improvements," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 52(2), pages 755-791, March.

    More about this item

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

    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:ebl:ecbull:eb-08o30012. 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: John P. Conley (email available below). General contact details of provider: .

    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.