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VARIETY, COMPETITION, AND POPULATION IN ECONOMIC GROWTH: THEORY AND EMPIRICS

Published online by Cambridge University Press:  23 December 2019

Alberto Bucci ,
Lorenzo Carbonari  and
Giovanni Trovato
Alberto Bucci
Affiliation:
University of Milan
Lorenzo Carbonari*
Affiliation:
University of Rome “Tor Vergata”
Giovanni Trovato
Affiliation:
University of Rome “Tor Vergata”
*
Address correspondence to: Lorenzo Carbonari, Department of Economics and Finance, University of Rome “Tor Vergata”, Via Columbia 2, 00133Rome, Italy. e-mail: [email protected]. Phone: +39 7259 5708
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Abstract

We provide aggregate macroeconomic evidence on how, in the long run, a diverse degree of complexity in production may affect not only the rate of economic growth, but also the correlation between the latter, population growth and the monopolistic (intermediate) markups. For a sample of Organisation for Economic Co-operation and Development (OECD) countries, we find that the impact of population change on economic growth is slightly positive. According to our theoretical model, this implies that the losses due to more complexity in production are lower than the corresponding specialization gains. Using a finite mixture model, we also classify the countries in the sample and verify for each cluster the impact that the population growth rate and the intermediate sector’s markups exert on the 5-year average real gross domestic product (GDP) growth rate.

Keywords

Economic GrowthPopulation GrowthVariety-ExpansionSpecializationComplexityProduct Market Competition
Type
Articles
Information
Macroeconomic Dynamics , Volume 25 , Issue 5 , July 2021 , pp. 1303 - 1330
Copyright
© Cambridge University Press 2019

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Footnotes

We thank the two anonymous reviewers of this Journal and seminar participants at the 2017 Royal Economic Society Annual Conference (University of Bristol, March 2017) and the Finance and Economic Growth in the Aftermath of the Crisis (University of Milan, September 2017) for their comments and suggestions. Lorenzo Carbonari gratefully acknowledges financial support from the University of Rome “Tor Vergata” (Grant Consolidate the Foundations). The usual disclaimer applies.

References

REFERENCES

Aghion, P. and Griffith, R. (2005) Competition and Growth: Reconciling Theory and Evidence. Cambridge, MA: MIT Press.Google Scholar
Aghion, P. and Howitt, P. (1992) A model of growth through creative destruction. Econometrica 60(2), 323–351.CrossRefGoogle Scholar
Aghion, P. and Howitt, P. (1998) Endogenous Growth Theory. Cambridge, MA: The MIT Press.Google Scholar
Aitkin, M. (1997) Contribution to the discussion paper by Richardson, S. and Green, P.J.. Journal of The Royal Statistical Society B 59, 764–768.Google Scholar
Alfò, M., Trovato, G. and Waldmann, R. J. (2008) Testing for country heterogeneity in growth models using a finite mixture approach. Journal of applied econometrics 23, 487–514.CrossRefGoogle Scholar
Barro, R. J. and Sala-i-Martin, X. (2004) Economic Growth. MA: MIT Press.Google Scholar
Benassy, J.-P. (1996a) Taste for variety and optimum production patterns in monopolistic competition. Economics Letters 52(1), 41–47.CrossRefGoogle Scholar
Benassy, J.-P. (1996b) Monopolistic competition, increasing returns to specialization and output persistence. Economics Letters 52(2), 187–191.CrossRefGoogle Scholar
Benassy, J.-P. (1998) Is there always too little research in endogenous growth with expanding product variety? European Economic Review 42(1), 61–69.CrossRefGoogle Scholar
Blundell, R., Griffith, R. and van Reenen, J. (1995) Dynamic count data models of technological innovation. Economic Journal 105, 333–344.CrossRefGoogle Scholar
Blundell, R., Griffith, R. and van Reenen, J. (1999) Market share, market value and innovation in a panel of British manufacturing firms. Review of Economic Studies 66(3), 529–554.CrossRefGoogle Scholar
Bruce, N. and Turnovsky, S. J. (2013) Demography and growth: A unified treatment of overlapping generations. Macroeconomic Dynamics 17, 1605–1637.CrossRefGoogle Scholar
Bucci, A. (2013) Returns to specialization, competition, population, and growth. Journal of Economic Dynamics and Control 37(10), 2023–2040.CrossRefGoogle Scholar
Bucci, A. (2015) Product proliferation, population, and economic growth. Journal of Human Capital 9(2), 170–197.CrossRefGoogle Scholar
Bucci, A. and Raurich, X. (2017) Population and economic growth under different growth engines. German Economic Review 18(2), 182–211.CrossRefGoogle Scholar
Christopoulou, R. and Vermeulen, P. (2012) Markups in the Euro area and the US over the period 1981–2004: A comparison of 50 sectors. Empirical Economics 42, 53–77.CrossRefGoogle Scholar
Dempster, A., Laird, N. and Rubin, D. B. (1977) Maximum likelihood estimation from incomplete data via the EM algorithm (with discussion). Journal of Royal Statistical Society, B 39, 1–38.Google Scholar
Ethier, W. J. (1982) National and international returns to scale in the modern theory of international trade. American Economic Review 72(3), 389–405.Google Scholar
Ferrarini, B. and Scaramozzino, P. (2016) Complexity, specialization and growth. Structural Change and Economic Dynamics 37, 52–61.CrossRefGoogle Scholar
Galor, O. (2011) Unified Growth Theory. Princeton: Princeton University Press.Google Scholar
Griffith, R., Harrison, R. and Macartney, G. (2007) Product market reforms, labour market institutions and unemployment. Economic Journal 117, 142–166.CrossRefGoogle Scholar
Grossman, G. and Helpman, E. (1991) Innovation and Growth in the Global Economy. MA: MIT Press.Google Scholar
Heckman, J. and Singer, B. (1984) A method for minimizing the impact of distributional assumptions in econometric models for duration data. Econometrica 52(2), 271–320.CrossRefGoogle Scholar
Herzer, D., Strulik, H. and Vollmer, S. (2012) The long-run determinants of fertility: One century of demographic change 1900–1999. Journal of Economic Growth 17(4), 357–385.CrossRefGoogle Scholar
Jones, C. I. (1995a) R&D-based models of economic growth. Journal of Political Economy 103, 759–784.CrossRefGoogle Scholar
Jones, C. I. (1995b) Time series tests of endogenous growth models. Quarterly Journal of Economics 110(2), 495–525.CrossRefGoogle Scholar
Jones, C. I. (2005) Growth and ideas. In: Aghion, P. and Durlauf, S. N. (eds.), Handbook of Economic Growth, Chapter 16, pp. 1063–1111. Amsterdam: Elsevier-North Holland.Google Scholar
Jones, C. I. and Vollrath, D. (2013) Introduction to Economic Growth, 3rd ed. New York: W.W. Norton & Company.Google Scholar
Kelley, A. C. and Schmidt, R. M. (1995) Aggregate population and economic growth correlations: The role of the components of demographic change. Demography 32, 543–555.CrossRefGoogle ScholarPubMed
Klette, T. J. (1999) Market power, scale economies and productivity: Estimates from a panel of establishment data. Journal of Industrial Economics 47(4), 451–476.CrossRefGoogle Scholar
Kremer, M. (1993) The O-ring theory of economic development. Quarterly Journal of Economics 108(3), 551–575.CrossRefGoogle Scholar
Lafay, G. (1992) The measurement of revealed comparative advantage. In: Dagenais, M. G. and Muet, P.-A. (eds.), International Trade Modelling. London: Chapman & Hall.Google Scholar
Laird, N. (1978) Nonparametric maximum likelihood estimation of a mixing distribution. Journal of the American Statistical Association 73, 805–811.CrossRefGoogle Scholar
Li, H. and Zhang, J. (2007) Do high birth rates hamper economic growth? Review of Economics and Statistics 89, 110–117.CrossRefGoogle Scholar
Maggioni, D., Turco, A. L. and Gallegati, M. (2016) Does product complexity matter for firms’ output volatility? Journal of Development Economics 121, 94–109.CrossRefGoogle Scholar
McCullagh, P. and Nelder, J. A. (1989) Generalized Linear Models. London: Chapman & Hall, London.CrossRefGoogle Scholar
McLachlan, G. J. and Krishnan, T. (1997) The EM Algorithm and Extensions. New Jersey: John Wiley & Sons Inc.Google Scholar
McLachlan, G. J., and Peel, D. (2000) Finite Mixture Models. New Jersey: John Wiley & Sons Inc.CrossRefGoogle Scholar
Nekarda, C. J. and Ramey, V. A. (2013) The Cyclical Behavior of the Price-Cost Markup. NBER Working Paper: No. 19099.CrossRefGoogle Scholar
Neves Sequeira, T., Gil, P. M. and Afonso, Ó. (2018) Endogenous growth and entropy. Journal of Economic Behavior and Organization 154, 100–120.CrossRefGoogle Scholar
Nickell, S. J. (1996) Competition and corporate performance. Journal of Political Economy 104(4), 724–746.CrossRefGoogle Scholar
Prettner, K. (2013) Population aging and endogenous economic growth. Journal of Population Economics 26(2), 811–834.CrossRefGoogle ScholarPubMed
Prettner, K. (2014) The non-monotonous impact of population growth on economic prosperity. Economics Letters 124(1), 93–95.CrossRefGoogle Scholar
Roeger, W. (1995) Can imperfect competition explain the difference between primal and dual productivity measures? Estimates for US manufacturing. Journal of Political Economy 103, 316–330.CrossRefGoogle Scholar
Romer, P. M. (1990) Endogenous technological change. Journal of Political Economy 98(5), 71–102.CrossRefGoogle Scholar
Sala-i-Martin, X., Doppelhofer, G. and Miller, R. I. (2004) Determinants of long-term growth: A Bayesian averaging of classical estimates (BACE) approach. American Economic Review 94(4), 813–835.CrossRefGoogle Scholar
Smith, A. (1776) The Wealth of Nations. London: Strahan, W. and Cadell, T..Google Scholar
Strulik, H. (2005) The role of human capital and population growth in R&D-based models of economic growth. Review of International Economics 13(1), 129–145.CrossRefGoogle Scholar
Timmer, M., van Moergastel, T., Stuivenwold, E. and Gerard Ypma, M. (2007) EUKLEMS Growth and Productivity Accounts. Part I: Methodology, The Netherlands: University of Groningen & University of Birmingham.Google Scholar
Williamson, J. G. (2003) Demographic change, economic growth, and inequality. In: Birdsall, N., Kelley, A. C. and Sinding, S. (eds.), Population Matters: Demographic Change, Economic Growth, and Poverty in the Developing World. New York: Oxford University Press.Google Scholar
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