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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. 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..
    3. 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.
    4. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Philippe Aghion, 2004. "Growth and Development: A Schumpeterian Approach," Annals of Economics and Finance, Society for AEF, vol. 5(1), pages 1-25, May.
    16. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. 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.
    2. 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.
    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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