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A contribution to the theory and empirics of Schumpeterian growth with worldwide interactions

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Abstract

This paper proposes an integrated theoretical and methodological framework characterized by technological interactions to explain growth processes from a Schumpeterian perspective. Global interdependence implied by international R&D spillovers needs to be taken into account in both the theoretical and empirical models. For this task, spatial econometrics is the appropriate tool. The econometric model we propose includes the neoclassical growth model as a particular case. We can therefore explicitly test the role of R&D investment in the long-run growth process against the Solow growth model. Finally, the properties of our spatial econometric specification allow the explicit evaluation of the impact of home and foreign R&D spillovers.

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References

  • Acemoglu D., Aghion P., Zilibotti F. (2006) Distance to frontier, selection, and economic growth. Journal of the European Economic Association 4: 37–74

    Article  Google Scholar 

  • Aghion P., Howitt P. (1992) A model of growth through creative destruction. Econometrica 60: 323–351

    Article  Google Scholar 

  • Aghion P., Howitt P. (1998) Endogenous growth theory. MIT Press, Cambridge, MA

    Google Scholar 

  • Aghion P., Howitt P., Mayer-Foulkes D. (2005) The effect of financial development on convergence: Theory and evidence. Quarterly Journal of Economics 120: 173–222

    Google Scholar 

  • Akerlof G. A. (1997) Social distance and social decision. Econometrica 65: 1005–1027

    Article  Google Scholar 

  • Anselin L. (1988) Spatial econometrics: Methods and models. Kluwer Academic Publishers, Dordrecht

    Google Scholar 

  • Anselin L. (2006) Spatial econometrics. In: Mills T. C., Patterson K. (eds) Palgrave handbook of econometrics volume I: Econometric theory. Palgrave Macmillan, New York

    Google Scholar 

  • Anselin L., Bera A. K. (1998) Spatial dependence in linear regression models with an introduction to spatial econometrics. In: Ullah A., Giles D. E. A. (eds) Handbook of applied economics and statistics. Marcel Dekker, New York

    Google Scholar 

  • Barro, & Sala-I-Martin. (2003) Economic Growth (2nd ed.). MIT Press.

  • Benhabib J., Spiegel M. M. (1994) The role of human capital in economic development: Evidence from aggregate cross-country data. Journal of Monetary Economics 34: 143–174

    Article  Google Scholar 

  • Benhabib J., Spiegel M. M. (2005) Human capital and technology diffusion. In: Aghion P., Durlauf S. (eds) Handbook of economic growth. Elsevier, North-Hollan

    Google Scholar 

  • Behrens, K., Ertur, C., & Koch, W. (2011). ‘Dual gravity’: Using spatial econometrics to control for multilateral resistance. Journal of Applied Econometrics. doi:10.1002/jae.1231; Forthcoming.

  • Behrens K., Thisse J.-F. (2007) Regional economics: A new economic geography perspective. Regional Science and Urban Economics 37: 457–465

    Article  Google Scholar 

  • Blume L., Durlauf S. N. (2005) Identifying social interactions: A review. In: Oakes J. M., Kaufman J. (eds) Methods in social epidemiology. Jossey-Bass, San Francisco

    Google Scholar 

  • Brock W. A., Durlauf S. N. (2001) Growth empirics and reality. The World Bank Economic Review 15: 229–272

    Article  Google Scholar 

  • Caballero, R. J., & Jaffe, A. B. (1993). How high are the giants’ shoulders: An empirical assessment of knowledge spillovers and creative destruction in a model of economic growth. In NBER macroeconomics annual (pp. 15–74). Cambridge, MA: MIT Press.

  • Caselli F. (2005) Accounting for cross-country income differences. In: Aghion P., Durlauf S. (eds) Handbook of economic growth. Elsevier, North-Holland

    Google Scholar 

  • Coe D., Helpman E. (1995) International R&D spillovers. European Economic Review 39: 859–897

    Article  Google Scholar 

  • Coe D., Helpman E., Hoffmaister A. (1997) North-South spillovers. Economic Journal 107: 134–149

    Article  Google Scholar 

  • Cohen D., Soto M. (2007) Growth and human capital: Good data, good results. Journal of Economic Growth 12: 51–76

    Article  Google Scholar 

  • Conley T. G., Ligon E. (2002) Economic distance and cross-country spillovers. Journal of Economic Growth 7: 157–187

    Article  Google Scholar 

  • Debarsy N., Ertur C. (2010) Testing for spatial autocorrelation in a fixed effects panel data model. Regional Science and Urban Economics 40: 453–470

    Article  Google Scholar 

  • De Long J. B., Summers L. H. (1991) Equipment investment and economic growth. Quarterly Journal of Economics 106: 445–502

    Article  Google Scholar 

  • Dinopoulos E., Thompson P. (2000) Endogenous growth in a cross-section of countries. Journal of International Economics 51: 335–362

    Article  Google Scholar 

  • Durlauf S. N., Johnson P., Temple J. (2005) Growth empirics. In: Aghion P., Durlauf S. (eds) Handbook of economic growth. Elsevier, North-Holland

    Google Scholar 

  • Durlauf S. N., Quah D. (1999) The new empirics of economic growth. In: Taylor J., Woodford M. (eds) Handbook of macroeconomics. Elsevier, North-Holland

    Google Scholar 

  • Eaton J., Kortum S. (1996) Trade in ideas patenting and productivity in the OECD. Journal of International Economics 40: 251–276

    Article  Google Scholar 

  • Ertur C., Koch W. (2007) Growth, technological interdependence and spatial externalities: Theory and evidence. Journal of Applied Econometrics 22: 1033–1062

    Article  Google Scholar 

  • Evans P. (1996) Using cross-country variances to evaluate growth theories. Journal of Economic Dynamics and Control 20: 1027–1049

    Article  Google Scholar 

  • Gerschenkron A. (1952) Economic backwardness in historical perspective. In: Hoselitz B. F. (eds) The progress of underdeveloped areas. University of Chicago Press, Chicago

    Google Scholar 

  • Grossman G. M., Helpman E. (1991) Innovation and growth in the global economy. MIT Press, Cambridge, MA

    Google Scholar 

  • Ha J., Howitt P. (2007) Accounting for trends in productivity and R&D: A Schumpeterian critique of semi-endogenous growth theory. Journal of Money, Credit and Banking 39(4): 733–774

    Article  Google Scholar 

  • Hall R. E., Jones C. (1999) Why do some countries produce so much more output per worker than others?.   Quarterly Journal of Economics 114: 83–116

    Article  Google Scholar 

  • Heston, A., Summers, R., & Aten, B. (2006). Penn world table version 6.2. Philadelphia: Center for International Comparisons of Production, Income and Prices, University of Pennsylvania.

  • Howitt P. (1999) Steady endogenous growth with population and R&D inputs growing. Journal of Political Economy 107: 715–730

    Article  Google Scholar 

  • Howitt P. (2000) Endogenous growth and cross-country income differences. American Economic Review 90(4): 829–846

    Article  Google Scholar 

  • Howitt P., Aghion P. (1998) Capital accumulation and innovation as complementary factors in growth. Journal of Economic Growth 3: 111–130

    Article  Google Scholar 

  • Howitt P., Mayer-Foulkes D. (2005) R&D, Implementation and stagnation: A Schumpeterian theory of convergence clubs. Journal of Money, Credit and Banking 37: 147–177

    Article  Google Scholar 

  • Jones C. I. (1995) R&D-based models of economic growth. Journal of Political Economy 103: 759–784

    Article  Google Scholar 

  • Keller W. (2002) Geographic localization of international technology diffusion. American Economic Review 92: 120–142

    Article  Google Scholar 

  • Kelejian H. H., Prucha I. R. (1998) A generalized spatial two-stages least squares procedure for estimating a spatial autoregressive model with autoregressive disturbances. Journal of Real Estate Finance and Economics 17: 99–121

    Article  Google Scholar 

  • Kelejian H. H., Prucha I. R. (2010) Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances. Journal of Econometrics 157: 53–67

    Article  Google Scholar 

  • Keller W. (2004) International technology diffusion. Journal of Economic Literature 42: 752–782

    Article  Google Scholar 

  • Klenow P. J., Rodriguez-Clare A. (2005) Externalities and growth. In: Aghion P., Durlauf S. (eds) Handbook of economic growth. Elsevier, North-Holland

    Google Scholar 

  • Lee L. F. (2003) Best spatial two-stages least squares estimation for a spatial autoregressive model with autoregressive disturbances. Econometric Reviews 22: 307–335

    Article  Google Scholar 

  • Lee L. F. (2004) Asymptotic distributions of quasi-maximum likelihood estimators for spatial autoregressive models. Econometrica 72: 1899–1925

    Article  Google Scholar 

  • LeSage J., Pace K. (2009) Introduction to spatial econometrics. CRC Press, London

    Book  Google Scholar 

  • Lucas R. E. (1993) Making a miracle. Econometrica 61(2): 251–271

    Article  Google Scholar 

  • Lumenga-Neso O., Olarreaga M., Schiff M. (2005) On ‘indirect’ trade-related R&D spillovers. European Economic Review 49: 1785–1798

    Article  Google Scholar 

  • Madsen J. B. (2008) Semi-endogenous versus Schumpeterian growth models: Testing the knowledge production function using international data. Journal of Economic Growth 13: 1–26

    Article  Google Scholar 

  • Mankiw N. G. (1995) The growth of nations. Brookings Papers of Economic Activity 25: 275–310

    Article  Google Scholar 

  • Mankiw N. G., Romer D., Weil D. N. (1992) A contribution to the empirics of economic growth. Quarterly Journal of Economics 107: 407–437

    Article  Google Scholar 

  • Manski C. (1993) Identification of endogenous social effects: The reflection problem. Review of Economic Studies 60: 531–542

    Article  Google Scholar 

  • Manski C. (2000) Economic analysis of social interactions. Journal of Economic Perspectives 14: 115–136

    Article  Google Scholar 

  • Moreno R., Trehan B. (1997) Location and growth of nations. Journal of Economic Growth 2: 399–418

    Article  Google Scholar 

  • Nelson R. R., Phelps E. S. (1966) Investment in humans, technological diffusion, and economic growth. American Economic Review 56(2): 69–75

    Google Scholar 

  • Ord J. K. (1975) Estimation methods for models of spatial interaction. Journal of American Statistical Association 70: 120–126

    Article  Google Scholar 

  • Quah D. (1996) Regional convergence clusters across Europe. European Economic Review 40: 951–958

    Article  Google Scholar 

  • Rey, S. J., & Le Gallo, J. (2009). Spatial analysis of economic convergence. In T. Mills & K. Patterson (Eds.), Palgrave handbook of econometrics: Applied econometrics (Vol. 2, pp. 1251–1292). Hampshire: MacMillan

  • Romer P. M. (1990) Endogenous technological change. Journal of Political Economy 98: S71–S102

    Article  Google Scholar 

  • Solow R. M. (1956) A contribution to the theory of economic growth. Quarterly Journal of Economics 70: 65–94

    Article  Google Scholar 

  • Spolaore E., Wacziarg R. (2009) The diffusion of technology. Quarterly Journal of Economics 124: 469–529

    Article  Google Scholar 

  • Temple J. (1999) The new growth evidence. Journal of Economic Literature 37: 112–156

    Article  Google Scholar 

  • United Nations Conference on Trade and Development. (2005). World investment report, transnational corporations and the internationalization of R&D. New York and Geneva: United Nations.

  • White H. (1980) A heteroscedasticity consistent covariance matrix estimator and a direct test for heteroscedasticity. Econometrica 48: 817–838

    Article  Google Scholar 

  • Zachariadis M. (2003) R&D, innovation, and technological progress: A test of the Schumpeterian framework without scale effects. Canadian Journal of Economics 36: 566–586

    Article  Google Scholar 

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Authors and Affiliations

  1. LEO, Université d’Orléans, Orléans Cedex 2, France

    Cem Ertur

  2. Département des Sciences Economiques, Université du Québec à Montréal (UQAM), Montreal, QC, Canada

    Wilfried Koch

  3. CIRPÉE, Montreal, QC, Canada

    Wilfried Koch

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  1. Cem Ertur
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  2. Wilfried Koch
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Correspondence to Cem Ertur.

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Ertur, C., Koch, W. A contribution to the theory and empirics of Schumpeterian growth with worldwide interactions. J Econ Growth 16, 215–255 (2011). https://doi.org/10.1007/s10887-011-9067-0

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