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Empirical Analysis of an Augmented Schumpeterian Endogenous Growth Model

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  • Ejike Udeogu (a) , Uzochukwu Amakom (b) and Shampa Roy-Mukherjee (a)

    ((a) University of East London, United Kingdom; (b) University of Nigeria, Nigeria)

Abstract

This study conducts an empirical analysis of an augmented Schumpeterian endogenous growth theory using aggregate-level data from 1981 to 2017 for 31 OECD countries. Despite a considerable number of studies analysing endogenous growth, cross-country analyses utilising estimators robust to endogeneity-bias and controlling for the macroeconomic effect of institutions are still rare. In this paper, we employ a relatively consistent estimator to analyse an augmented neoclassical production function that links output per worker to capital accumulation, technological progress, and institutions. Our results from the extended system of generalised method of momentS estimation align with the mainstream consensus that capital accumulation and technological progress or innovation, in the form of R&D activities, determine the level of output per worker in the long run. But in addition, we find that effective institutions underlie the innovation effect. On average, the impact of R&D activities on output per worker is higher in countries with more effective institutions.

Suggested Citation

  • Ejike Udeogu (a) , Uzochukwu Amakom (b) and Shampa Roy-Mukherjee (a), 2021. "Empirical Analysis of an Augmented Schumpeterian Endogenous Growth Model," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 46(1), pages 53-84, March.
  • Handle: RePEc:jed:journl:v:46:y:2021:i:1:p:53-84
    DOI: 10.35866/caujed.2021.46.1.003
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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. Zvi Griliches, 1998. "Comparing Productivity Growth: An Exploration of French and U.S. Industrial and Firm Data," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 157-186, National Bureau of Economic Research, Inc.
    3. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    4. Zvi Griliches, 1998. "Productivity and R&D at the Firm Level," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 100-133, National Bureau of Economic Research, Inc.
    5. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    6. Robert J. Barro, 1998. "Determinants of Economic Growth: A Cross-Country Empirical Study," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262522543, April.
    7. Charles I. Jones, 1995. "Time Series Tests of Endogenous Growth Models," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 495-525.
    8. John Van Reenen & Rupert Harrison & Rachel Griffith, 2006. "How Special Is the Special Relationship? Using the Impact of U.S. R&D Spillovers on U.K. Firms as a Test of Technology Sourcing," American Economic Review, American Economic Association, vol. 96(5), pages 1859-1875, December.
    9. Zvi Griliches, 1984. "R&D, Patents, and Productivity," NBER Books, National Bureau of Economic Research, Inc, number gril84-1.
    10. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    11. Zvi Griliches, 1998. "Productivity Growth and R&D at the Business Level: Results from the PIMS Data Base," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 134-156, National Bureau of Economic Research, Inc.
    12. Hall, Bronwyn H. & Mairesse, Jacques & Mohnen, Pierre, 2010. "Measuring the Returns to R&D," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 1033-1082, Elsevier.
    13. 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.
    14. Richard Blundell & Stephen Bond & Frank Windmeijer, 2000. "Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator," IFS Working Papers W00/12, Institute for Fiscal Studies.
    15. Dietmar Harhoff, 1998. "R&D and Productivity in German Manufacturing Firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 6(1), pages 29-50.
    16. Emmanuel Duguet, 2006. "Innovation height, spillovers and tfp growth at the firm level: Evidence from French manufacturing," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(4-5), pages 415-442.
    17. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    18. Ross Levine & Norman Loayza & Thorsten Beck, 2002. "Financial Intermediation and Growth: Causality and Causes," Central Banking, Analysis, and Economic Policies Book Series, in: Leonardo Hernández & Klaus Schmidt-Hebbel & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Se (ed.),Banking, Financial Integration, and International Crises, edition 1, volume 3, chapter 2, pages 031-084, Central Bank of Chile.
    19. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
    20. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    21. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    22. Rebelo, Sergio, 1991. "Long-Run Policy Analysis and Long-Run Growth," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 500-521, June.
    23. Jacques Mairesse & Bronwyn H. Hall, 1996. "Estimating the Productivity of Research and Development: An Exploration of GMM Methods Using Data on French & United States Manufacturing Firms," NBER Working Papers 5501, National Bureau of Economic Research, Inc.
    24. Zvi Griliches, 1998. "Interindustry Technology Flows and Productivity Growth: A Reexamination," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 241-250, National Bureau of Economic Research, Inc.
    25. Arellano, Manuel, 1989. "A note on the Anderson-Hsiao estimator for panel data," Economics Letters, Elsevier, vol. 31(4), pages 337-341, December.
    26. Bond, Stephen & Harhoff, Dietmar & Van Reenen, John, 2003. "Corporate R&D and productivity in Germany and the United Kingdom," LSE Research Online Documents on Economics 770, London School of Economics and Political Science, LSE Library.
    27. Guido W. Imbens, 1997. "One-Step Estimators for Over-Identified Generalized Method of Moments Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(3), pages 359-383.
    28. Mohnen, Pierre & Lepine, Normand, 1991. "R&D, R&D spillovers and payments for technology: Canadian evidence," Structural Change and Economic Dynamics, Elsevier, vol. 2(1), pages 213-228, June.
    29. Philippe Cuneo & Jacques Mairesse, 1984. "Productivity and R&D at the Firm Level in French Manufacturing," NBER Chapters, in: R&D, Patents, and Productivity, pages 375-392, National Bureau of Economic Research, Inc.
    30. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
    31. Hall, Bronwyn H. & Mairesse, Jacques, 1995. "Exploring the relationship between R&D and productivity in French manufacturing firms," Journal of Econometrics, Elsevier, vol. 65(1), pages 263-293, January.
    32. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    33. Christopher F Baum, 2006. "An Introduction to Modern Econometrics using Stata," Stata Press books, StataCorp LP, number imeus, March.
    34. Michael Rothschild & Joseph Stiglitz, 1976. "Equilibrium in Competitive Insurance Markets: An Essay on the Economics of Imperfect Information," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 90(4), pages 629-649.
    35. Dominique Guellec & Bruno Van Pottelsberghe De La Potterie, 2003. "The impact of public R&D expenditure on business R&D," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 12(3), pages 225-243.
    36. Link, Albert N, 1981. "Basic Research and Productivity Increase in Manufacturing: Additional Evidence," American Economic Review, American Economic Association, vol. 71(5), pages 1111-1112, December.
    37. Parisi, Maria Laura & Schiantarelli, Fabio & Sembenelli, Alessandro, 2006. "Productivity, innovation and R&D: Micro evidence for Italy," European Economic Review, Elsevier, vol. 50(8), pages 2037-2061, November.
    38. Scherer, F M, 1982. "Inter-Industry Technology Flows and Productivity Growth," The Review of Economics and Statistics, MIT Press, vol. 64(4), pages 627-634, November.
    39. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    40. Jong-Rong Chen & Chih-Hai Yang, 2005. "Technological knowledge, spillover and productivity: evidence from Taiwanese firm level panel data," Applied Economics, Taylor & Francis Journals, vol. 37(20), pages 2361-2371.
    41. Dajin Li, 2002. "Is the AK model still alive? The long-run relation between growth and investment re-examined," Canadian Journal of Economics, Canadian Economics Association, vol. 35(1), pages 92-114, February.
    42. Andrews, Donald W. K. & Lu, Biao, 2001. "Consistent model and moment selection procedures for GMM estimation with application to dynamic panel data models," Journal of Econometrics, Elsevier, vol. 101(1), pages 123-164, March.
    43. John W. Kendrick & Beatrice N. Vaccara, 1980. "New Developments in Productivity Measurement and Analysis," NBER Books, National Bureau of Economic Research, Inc, number kend80-1.
    44. Hirotugu Akaike, 1969. "Fitting autoregressive models for prediction," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 21(1), pages 243-247, December.
    45. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    46. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    47. Liu, Zhenjuan & Stengos, Thanasis, 1999. "Non-linearities in Cross-Country Growth Regressions: A Semiparametric Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 527-538, Sept.-Oct.
    48. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
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    More about this item

    Keywords

    Endogenous Growth Theory; Capital Accumulation; Generalised Method of Moments (GMM); Institutions; Neoclassical Production Function; OECD; Research & Development; Technical Progress;
    All these keywords.

    JEL classification:

    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

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