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Stepping on toes in the production of knowledge: a meta-regression analysis

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  • Tiago Neves Sequeira
  • Pedro Cunha Neves

Abstract

Decreasing returns to scale in physical resources in the knowledge production function have been widely considered in the economic growth literature. However, given the heterogeneity of empirical results, it is difficult to assess its magnitude. We provide a meta-analysis of the value of the decreasing returns to physical resources in the knowledge production function (stepping-on-toes effect). This has important policy implications regarding the subsidization of R&D activities and policy measures to enable the diffusion of knowledge. We conclude that there is some evidence of publication bias. Moreover, the average effect size is quite small, around 0.2, which implies a high stepping-on-toes effect. This value tends to be higher when variables related to international linkages are present, resources allocated to R&D are measured by labour, the knowledge pool is proxied by population, and instrumental variable estimation techniques are employed. On the contrary, the average returns to scale estimate decreases when resources allocated to R&D are measured by population and when only rich countries are included in the sample.

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  • Tiago Neves Sequeira & Pedro Cunha Neves, 2020. "Stepping on toes in the production of knowledge: a meta-regression analysis," Applied Economics, Taylor & Francis Journals, vol. 52(3), pages 260-274, January.
  • Handle: RePEc:taf:applec:v:52:y:2020:i:3:p:260-274
    DOI: 10.1080/00036846.2019.1644447
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    1. Stanley, T.D. & Doucouliagos, Chris & Jarrell, Stephen B., 2008. "Meta-regression analysis as the socio-economics of economics research," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(1), pages 276-292, February.
    2. James B. Ang & Jakob B. Madsen, 2011. "Can Second-Generation Endogenous Growth Models Explain the Productivity Trends and Knowledge Production in the Asian Miracle Economies?," The Review of Economics and Statistics, MIT Press, vol. 93(4), pages 1360-1373, November.
    3. Chris (hristos) Doucouliagos & Patrice Laroche, 2009. "Unions and Profits: A Meta-Regression Analysis," Post-Print hal-02138153, HAL.
    4. Marios Zachariadis, 2003. "R&D, innovation, and technological progress: a test of the Schumpeterian framework without scale effects," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 36(3), pages 566-586, August.
    5. Nicholas Bloom & Mark Schankerman & John Van Reenen, 2013. "Identifying Technology Spillovers and Product Market Rivalry," Econometrica, Econometric Society, vol. 81(4), pages 1347-1393, July.
    6. Kul B. Luintel & Mosahid Khan, 2009. "Heterogeneous ideas production and endogenous growth: an empirical investigation," Canadian Journal of Economics, Canadian Economics Association, vol. 42(3), pages 1176-1205, August.
    7. Jones, Charles I & Williams, John C, 2000. "Too Much of a Good Thing? The Economics of Investment in R&D," Journal of Economic Growth, Springer, vol. 5(1), pages 65-85, March.
    8. Laura Bottazzi & Giovanni Peri, 2007. "The International Dynamics of R&D and Innovation in the Long Run and in The Short Run," Economic Journal, Royal Economic Society, vol. 117(518), pages 486-511, March.
    9. Madsen, Jakob B., 2016. "Health, Human Capital Formation And Knowledge Production: Two Centuries Of International Evidence," Macroeconomic Dynamics, Cambridge University Press, vol. 20(4), pages 909-953, June.
    10. Jaffe, Adam B, 1989. "Real Effects of Academic Research," American Economic Review, American Economic Association, vol. 79(5), pages 957-970, December.
    11. 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.
    12. T. D. Stanley, 2005. "Beyond Publication Bias," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 309-345, July.
    13. Cabrer-Borras, Bernardi & Serrano-Domingo, Guadalupe, 2007. "Innovation and R&D spillover effects in Spanish regions: A spatial approach," Research Policy, Elsevier, vol. 36(9), pages 1357-1371, November.
    14. Ugur, Mehmet & Trushin, Eshref & Solomon, Edna & Guidi, Francesco, 2016. "R&D and productivity in OECD firms and industries: A hierarchical meta-regression analysis," Research Policy, Elsevier, vol. 45(10), pages 2069-2086.
    15. Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation And Productivity: An Econometric Analysis At The Firm Level," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 7(2), pages 115-158.
    16. Argentino Pessoa, 2005. "“Ideas” driven growth: the OECD evidence," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 4(1), pages 46-67, April.
    17. Chris Doucouliagos, 2005. "Publication Bias in the Economic Freedom and Economic Growth Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 367-387, July.
    18. Hu, Mei-Chih & Mathews, John A., 2005. "National innovative capacity in East Asia," Research Policy, Elsevier, vol. 34(9), pages 1322-1349, November.
    19. Furman, Jeffrey L. & Hayes, Richard, 2004. "Catching up or standing still?: National innovative productivity among 'follower' countries, 1978-1999," Research Policy, Elsevier, vol. 33(9), pages 1329-1354, November.
    20. Jakob Madsen, 2008. "Semi-endogenous versus Schumpeterian growth models: testing the knowledge production function using international data," Journal of Economic Growth, Springer, vol. 13(1), pages 1-26, March.
    21. Luintel, Kul B & Kahn, Mosahid, 2012. "Ideas Production in Emerging Economies," Cardiff Economics Working Papers E2012/6, Cardiff University, Cardiff Business School, Economics Section.
    22. Sylvie Charlot & Riccardo Crescenzi & Antonio Musolesi, 2015. "Econometric modelling of the regional knowledge production function in Europe," Journal of Economic Geography, Oxford University Press, vol. 15(6), pages 1227-1259.
    23. A. Minniti & F. Venturini, 2014. "R&D Policy and Schumpeterian Growth: Theory and Evidence," Working Papers wp945, Dipartimento Scienze Economiche, Universita' di Bologna.
    24. Crepon, B. & Duguet, E. & Mairesse, J., 1998. "Research Investment, Innovation and Productivity: An Econometric Analysis at the Firm Level," Papiers d'Economie Mathématique et Applications 98.15, Université Panthéon-Sorbonne (Paris 1).
    25. Hulya Ulku, 2007. "R&D, innovation and output: evidence from OECD and nonOECD countries," Applied Economics, Taylor & Francis Journals, vol. 39(3), pages 291-307.
    26. Card, David & Krueger, Alan B, 1995. "Time-Series Minimum-Wage Studies: A Meta-analysis," American Economic Review, American Economic Association, vol. 85(2), pages 238-243, May.
    27. Jaffe, Adam B, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits, and Market Value," American Economic Review, American Economic Association, vol. 76(5), pages 984-1001, December.
    28. Neves, Pedro Cunha & Sequeira, Tiago Neves, 2018. "Spillovers in the production of knowledge: A meta-regression analysis," Research Policy, Elsevier, vol. 47(4), pages 750-767.
    29. Michael E. Porter & Scott Stern, 2000. "Measuring the "Ideas" Production Function: Evidence from International Patent Output," NBER Working Papers 7891, National Bureau of Economic Research, Inc.
    30. Ang, James B. & Madsen, Jakob B., 2015. "What Drives Ideas Production Across The World?," Macroeconomic Dynamics, Cambridge University Press, vol. 19(1), pages 79-115, January.
    31. Furman, Jeffrey L. & Porter, Michael E. & Stern, Scott, 2002. "The determinants of national innovative capacity," Research Policy, Elsevier, vol. 31(6), pages 899-933, August.
    32. Venturini, Francesco, 2012. "Product variety, product quality, and evidence of endogenous growth," Economics Letters, Elsevier, vol. 117(1), pages 74-77.
    33. Jones, Charles I, 1995. "R&D-Based Models of Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 759-784, August.
    34. Jon Nelson & Peter Kennedy, 2009. "The Use (and Abuse) of Meta-Analysis in Environmental and Natural Resource Economics: An Assessment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 42(3), pages 345-377, March.
    35. Manuel A. Gómez & Tiago Neves Sequeira, 2014. "Should the US increase subsidies to R&D? Lessons from an endogenous growth theory," Oxford Economic Papers, Oxford University Press, vol. 66(1), pages 254-282, January.
    36. T. D. Stanley, 2001. "Wheat from Chaff: Meta-analysis as Quantitative Literature Review," Journal of Economic Perspectives, American Economic Association, vol. 15(3), pages 131-150, Summer.
    37. Hristos Doucouliagos & Patrice Laroche, 2009. "Unions and Profits: A meta-regression Analysis," Post-Print hal-00648569, HAL.
    38. Chris (hristos) Doucouliagos & Patrice Laroche & T.D. Stanley, 2005. "Publication Bias in Union-Productivity Research? [¿ Publicación tendenciosa en la investigación sobre la productividad sindical ?]," Post-Print hal-02138187, HAL.
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    Cited by:

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    JEL classification:

    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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