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A spatial Mankiw–Romer–Weil model: theory and evidence

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Abstract

This paper presents a theoretical growth model that extends the Mankiw–Romer–Weil (MRW) model by accounting for technological interdependence among regional economies. Interdependence is assumed to work through spatial externalities caused by disembodied knowledge diffusion. The transition from theory to econometrics leads to a reduced-form empirical spatial Durbin model specification that explains the variation in regional levels of per worker output at steady state. A system of 198 regions across 22 European countries over the period from 1995 to 2004 is used to empirically test the model. Testing is performed by assessing the importance of cross-region technological interdependence and measuring direct and indirect (spillover) effects of the MRW determinants on regional output.

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References

  • Anselin L (1988) Spatial econometrics: methods and models. Kluwer, Dordrecht

    Google Scholar 

  • Anselin L, Bera AK (1998) Spatial dependence in linear regression models with an introduction to spatial econometrics. In: Ullah A, Giles D (eds) Handbook of applied economic statistics. Marcel Dekker, New York, pp 237–289

    Google Scholar 

  • Benhabib J, Spiegel MM (1994) The role of human capital in economic development. Evidence from aggregate cross-country data. J Monet Econ 34(2): 143–173

    Article  Google Scholar 

  • Cliff A, Ord JK (1981) Spatial processes: models and applications. Pion, London

    Google Scholar 

  • Davidson R, MacKinnon J (1993) Estimation and inference in econometrics. Oxford University Press, New York

    Google Scholar 

  • Durlauf S (2001) Manifesto for a growth econometrics. J Econom 100(1): 65–69

    Article  Google Scholar 

  • Durlauf SN, Johnson PA (1995) Multiple regimes and cross-country growth behaviour. J Appl Econom 10(4): 365–384

    Article  Google Scholar 

  • Durlauf SN, Quah DT (1999) The new empirics of economic growth. In: Taylor JB, Woodford M (eds) Handbook of macroeconomics, vol 1. Elsevier, Amsterdam, pp 235–308

    Google Scholar 

  • Ertur C, Koch W (2006) Convergence, human capital and international spillovers. Working paper, LEG 2006-03. Université de Bourgogne, France

  • Ertur C, Koch W (2007) Growth, technological interdependence and spatial externalities: theory and evidence. J Appl Econom 22(6): 1033–1062

    Article  Google Scholar 

  • Ertur C, Koch W (2008) The role of human capital and technological interdependence in growth and convergence processes: international evidence. Working paper, LEG 2008-12. Université de Bourgogne, France

  • Fingleton B (2001) Equilibrium and economic growth: spatial econometric models and simulations. J Reg Sci 41(1): 117–147

    Article  Google Scholar 

  • Fingleton B, Fischer MM (2009) Neoclassical theory versus new economic geography: competing explanations of cross-regional variation in economic development. Ann Reg Sci 43. doi:10.1007/s00168-008-0278-z

  • Fischer MM, Stirböck C (2006) Pan-European regional income growth and club-convergence. Ann Reg Sci 40(4): 693–721

    Article  Google Scholar 

  • Fischer MM, Varga A (2003) Spatial knowledge spillovers and university research. Ann Reg Sci 37(2): 303–322

    Article  Google Scholar 

  • Fischer MM, Scherngell T, Jansenberger E (2006) The geography of knowledge spillovers between high-technology firms in Europe. Geogr Anal 38(3): 288–309

    Article  Google Scholar 

  • Fischer MM, Scherngell T, Reismann M (2009) Knowledge spillovers and total factor productivity. Evidence using a spatial panel data model. Geogr Anal 41(2): 204–220

    Article  Google Scholar 

  • Getis A (2005) Spatial pattern analysis. In: Kempp-Leonard K (eds) Encyclopedia of social measurement. Academic Press, Amsterdam, pp 627–632

    Chapter  Google Scholar 

  • Griffith DA (1995) Some guidelines for specifying the geographic weights matrix contained in spatial statistics models. In: Arlinghaus SL, Griffith DA, Arlinghaus WC, Drake WD, Nystrom JD (eds) Practical handbook of spatial analysis. CRC Press, Boca Raton, pp 65–82

    Google Scholar 

  • Griliches Z (2000) R&D, education, and productivity. A retrospective. Harvard University Press, Cambridge

    Google Scholar 

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

    Google Scholar 

  • Hall RE, Jones C (1999) Why do some countries produce so much more output per worker than others. Q J Econ 114(1): 83–116

    Article  Google Scholar 

  • Islam N (1995) Growth empirics: a panel data approach. Q J Econ 110(4): 1127–1170

    Article  Google Scholar 

  • Keller W (2002) Geographic localization of international technology diffusion. Am Econ Rev 92(1): 120–142

    Article  Google Scholar 

  • LeSage JP, Fischer MM (2008) Spatial growth regressions: model specification, estimation and interpretation. Spatial Econ Anal 3(3): 275–304

    Article  Google Scholar 

  • LeSage JP, Pace RK (2009) Introduction to spatial econometrics. CRC Press, Boca Raton

    Book  Google Scholar 

  • LeSage JP, Pace RK (2010) Spatial econometric models. In: Fischer MM, Getis A (eds) Handbook of applied spatial data analysis. Springer, Berlin, pp 359–380

    Google Scholar 

  • Levine R, Renelt D (1992) A sensitivity analysis of cross-country growth regressions. Am Econ Rev 82(4): 942–963

    Google Scholar 

  • López-Bazo E, Fingleton B (2006) Empirical growth models with spatial effects. Papers Reg Sci 85(2): 177–198

    Article  Google Scholar 

  • López-Bazo E, Vayá E, Artís M (2004) Regional externalities and growth: evidence from European regions. J Reg Sci 44(1): 43–73

    Article  Google Scholar 

  • Mankiw NE, Romer D, Weil DN (1992) A contribution to the empirics of economic growth. Q J Econ 107(2): 407–437

    Article  Google Scholar 

  • Ord JK (1975) Estimation methods for models of spatial interaction. J Am Stat Assoc 70(349): 120–126

    Article  Google Scholar 

  • Pritchett L (2001) Where has all the education gone. World Bank Econ Rev 15(3): 367–391

    Article  Google Scholar 

  • Romer PM (1986) Increasing returns and long run growth. J Political Econ 94(5): 1002–1037

    Article  Google Scholar 

  • Stiroh KJ (2003) Growth and innovation in the new economy. In: Jones DC (eds) New economy handbook. Academic Press, Amsterdam, pp 723–751

    Google Scholar 

  • Temple JRW (1998) Robustness tests of the augmented Solow model. J Appl Econom 13(4): 361–375

    Article  Google Scholar 

Download references

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Correspondence to Manfred M. Fischer.

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Fischer, M.M. A spatial Mankiw–Romer–Weil model: theory and evidence. Ann Reg Sci 47, 419–436 (2011). https://doi.org/10.1007/s00168-010-0384-6

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  • DOI: https://doi.org/10.1007/s00168-010-0384-6

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