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Measuring Knowledge Spillovers: A Non-appropriable Returns Perspective

Author

Listed:
  • Jian Li

    (Department of International Economics and Trade, School of Economics, Nanjing University
    Department of Economics, School of Economics and Management, Tsinghua University)

  • Kunrong Shen

    (School of Economics, Nanjing Univerisity)

  • Ru Zhang

    (Department of Economics, University of California)

Abstract

A new approach is developed to measure knowledge spillovers by means of proportion of non-appropriable returns to social returns, assuming no specific forms of production and knowledge functions. It is complicated theoretically, but very simple and practical empirically. Using PWT 6.3, we find that: 1. the measure of spillovers is nonlinear to income; 2. spillovers do not exist when income is low, but do exist in higher income groups; 3. the elasticity of knowledge is nonlinear to income; 4. spillovers exist even when the elasticity of output to capital is roughly close to direct measure of capital's share.

Suggested Citation

  • Jian Li & Kunrong Shen & Ru Zhang, 2011. "Measuring Knowledge Spillovers: A Non-appropriable Returns Perspective," Annals of Economics and Finance, Society for AEF, vol. 12(2), pages 265-293, November.
    • Handle: RePEc:cuf:journl:y:2011:v:12:i:2:p:265-293
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    References listed on IDEAS

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    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. Edwin Mansfield & John Rapoport & Anthony Romeo & Samuel Wagner & George Beardsley, 1977. "Social and Private Rates of Return from Industrial Innovations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 91(2), pages 221-240.
    3. Jeffrey Sachs & Wing Thye Woo & Xiaokai Yang, 2000. "Economic Reforms and Constitutional Transition," Annals of Economics and Finance, Society for AEF, vol. 1(2), pages 423-479, November.
    4. Chihwa Kao & Min-Hsien Chiang, 1997. "On the Estimation and Inference of a Cointegrated Regression in Panel Data," Econometrics 9703001, University Library of Munich, Germany.
    5. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    6. Philippe Aghion, 2004. "Growth and Development: A Schumpeterian Approach," Annals of Economics and Finance, Society for AEF, vol. 5(1), pages 1-25, May.
    7. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    8. Lang, Guenter, 2009. "Measuring the returns of R&D--An empirical study of the German manufacturing sector over 45 years," Research Policy, Elsevier, vol. 38(9), pages 1438-1445, November.
    9. Charles I. Jones & John C. Williams, 1998. "Measuring the Social Return to R&D," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1119-1135.
    10. Xiaokai Yang & Dingsheng Zhang, 2005. "Endogenous Structure Of The Division Of Labor, Endogenous Trade Policy Regime, And A Dual Structure In Economic Development," World Scientific Book Chapters, in: An Inframarginal Approach To Trade Theory, chapter 17, pages 383-406, World Scientific Publishing Co. Pte. Ltd..
    11. 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.
    12. Bresnahan, Timothy F, 1986. "Measuring the Spillovers from Technical Advance: Mainframe Computers inFinancial Services," American Economic Review, American Economic Association, vol. 76(4), pages 742-755, September.
    13. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    14. Kaiser, Ulrich, 2002. "Measuring knowledge spillovers in manufacturing and services: an empirical assessment of alternative approaches," Research Policy, Elsevier, vol. 31(1), pages 125-144, January.
    15. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 407-437.
    16. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    17. Badi H. Baltagi & Chihwa Kao, 2000. "Nonstationary Panels, Cointegration in Panels and Dynamic Panels: A Survey," Center for Policy Research Working Papers 16, Center for Policy Research, Maxwell School, Syracuse University.
    18. Nelson, Andrew J., 2009. "Measuring knowledge spillovers: What patents, licenses and publications reveal about innovation diffusion," Research Policy, Elsevier, vol. 38(6), pages 994-1005, July.
    19. Harris, Richard D. F. & Tzavalis, Elias, 1999. "Inference for unit roots in dynamic panels where the time dimension is fixed," Journal of Econometrics, Elsevier, vol. 91(2), pages 201-226, August.
    20. Trajtenberg, Manuel, 1989. "The Welfare Analysis of Product Innovations, with an Application to Computed Tomography Scanners," Journal of Political Economy, University of Chicago Press, vol. 97(2), pages 444-479, April.
    21. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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    Cited by:

    1. Matthias Firgo & Peter Mayerhofer, 2015. "Wissens-Spillovers und regionale Entwicklung - welche strukturpolitische Ausrichtung optimiert des Wachstum?," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 144, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    2. Matthias Firgo & Peter Mayerhofer, 2015. "Wissensintensive Unternehmensdienste, Wissens-Spillovers und regionales Wachstum. Teilprojekt 1: Wissens-Spillovers und regionale Entwicklung – Welche strukturpolitische Ausrichtung optimiert das Wach," WIFO Studies, WIFO, number 58342.
    3. Andrea Bonaccorsi & Cinzia Daraio, 2013. "Knowledge spillover effects at the sub-regional level. Theory and estimation," DIAG Technical Reports 2013-13, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".

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    More about this item

    Keywords

    Knowledge spillovers; Measure; Non-appropriable returns; Capital's share; Dynamic OLS;
    All these keywords.

    JEL classification:

    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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