IDEAS home Printed from https://ideas.repec.org/p/mlb/wpaper/890.html
   My bibliography  Save this paper

Modelling the Impact of Network Social Capital on Business and Technological Innovations

Author

Listed:
  • Yuan K. Chou

Abstract

In this paper, we construct a macroeconomic growth model where social capital embedded in collaborative networks of firms (such as corporate partnerships and research consortia) increase the rate of technological and business innovations in high-tech industries. Social capital is created via network-building activities and through “learning-by-doing”. We derive the optimal quantity of resources that should be channelled away from pure production into activities that build network social capital, and study both the comparative statics and transitional dynamics of the model. We also examine the implications of the model for policymakers interested in formulating innovation policies.

Suggested Citation

  • Yuan K. Chou, 2003. "Modelling the Impact of Network Social Capital on Business and Technological Innovations," Department of Economics - Working Papers Series 890, The University of Melbourne.
  • Handle: RePEc:mlb:wpaper:890
    as

    Download full text from publisher

    File URL: http://www.economics.unimelb.edu.au/downloads/wpapers-03/890.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Routledge, Bryan R. & von Amsberg, Joachim, 2003. "Social capital and growth," Journal of Monetary Economics, Elsevier, vol. 50(1), pages 167-193, January.
    2. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    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. Schreiner, Lena & Madlener, Reinhard, 2022. "Investing in power grid infrastructure as a flexibility option: A DSGE assessment for Germany," Energy Economics, Elsevier, vol. 107(C).
    2. Grimaud, Andre & Rouge, Luc, 2003. "Non-renewable resources and growth with vertical innovations: optimum, equilibrium and economic policies," Journal of Environmental Economics and Management, Elsevier, vol. 45(2, Supple), pages 433-453, March.
    3. Canavire-Bacarreza, Gustavo & Martínez-Vázquez, Jorge & Vulovic, Violeta, 2013. "Taxation and Economic Growth in Latin America," IDB Publications (Working Papers) 4583, Inter-American Development Bank.
    4. Luis Garicano & Thomas N. Hubbard, 2016. "The Returns to Knowledge Hierarchies," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 32(4), pages 653-684.
    5. Jati Sengupta, 2002. "Economics of efficiency measurement by the DEA approach," Applied Economics, Taylor & Francis Journals, vol. 34(9), pages 1133-1139.
    6. Fabio Sabatini, 2006. "Social Capital and Labour Productivity in Italy," Working Papers 2006.30, Fondazione Eni Enrico Mattei.
    7. Grimaud, Andre & Rouge, Luc, 2005. "Polluting non-renewable resources, innovation and growth: welfare and environmental policy," Resource and Energy Economics, Elsevier, vol. 27(2), pages 109-129, June.
    8. B. Bhaskara Rao & Arusha Cooray, 2012. "How useful is growth literature for policies in the developing countries?," Applied Economics, Taylor & Francis Journals, vol. 44(6), pages 671-681, February.
    9. Berthelemy, Jean-claude & Soderling, Ludvig, 2001. "The Role of Capital Accumulation, Adjustment and Structural Change for Economic Take-Off: Empirical Evidence from African Growth Episodes," World Development, Elsevier, vol. 29(2), pages 323-343, February.
    10. Alessandro STERLACCHINI, 2006. "Innovation, Knowledge and Regional Economic Performances: Regularities and Differences in the EU," Working Papers 260, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    11. Alex Bell & Raj Chetty & Xavier Jaravel & Neviana Petkova & John Van Reenen, 2019. "Who Becomes an Inventor in America? The Importance of Exposure to Innovation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(2), pages 647-713.
    12. Galiani, Sebastian & Jaitman, Laura & Weinschelbaum, Federico, 2020. "Crime and durable goods," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 146-163.
    13. Maurice Schiff & Yanling Wang, 2010. "North-South Technology Spillovers: The Relative Impact of Openness and Foreign R&D," International Economic Journal, Taylor & Francis Journals, vol. 24(2), pages 197-207.
    14. Weiss, Yoram, 1995. "Growth and Labor Mobility," Foerder Institute for Economic Research Working Papers 275600, Tel-Aviv University > Foerder Institute for Economic Research.
    15. Ufuk Akcigit & Sina T. Ates & Giammario Impullitti, 2018. "Innovation and Trade Policy in a Globalized World," NBER Working Papers 24543, National Bureau of Economic Research, Inc.
    16. Bauernschuster, Stefan & Falck, Oliver & Heblich, Stephan, 2010. "Social capital access and entrepreneurship," Journal of Economic Behavior & Organization, Elsevier, vol. 76(3), pages 821-833, December.
    17. David B. Audretsch & Martin A. Carree & Adriaan J. Van Stel & A. Roy Thurik, 2002. "Impeded Industrial Restructuring: The Growth Penalty," Kyklos, Wiley Blackwell, vol. 55(1), pages 81-98.
    18. Sanchez-Pages Santiago & Straub Stéphane, 2010. "The Emergence of Institutions," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(1), pages 1-38, September.
    19. Tappeiner, Gottfried & Hauser, Christoph & Walde, Janette, 2008. "Regional knowledge spillovers: Fact or artifact?," Research Policy, Elsevier, vol. 37(5), pages 861-874, June.
    20. Rongrong Xu & Yongxiang Wu & Ming Chen & Xuan Zhang & Wei Wu & Long Tan & Gaoxu Wang & Yi Xu & Bing Yan & Yuedong Xia, 2019. "Calculation of the contribution rate of China’s hydraulic science and technology based on a feedforward neural network," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-22, September.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

    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:mlb:wpaper:890. 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: Dandapani Lokanathan (email available below). General contact details of provider: https://edirc.repec.org/data/demelau.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.