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Spatial Externalities and Growth in a Mankiw-Romer-Weil World

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  • Manfred M. Fischer

Abstract

This article presents a theoretical growth model that accounts for technological interdependence among regions in a Mankiw-Romer-Weil world. The reasoning behind the theoretical work is that technological ideas cannot be fully appropriated by investors and these ideas may diffuse and increase the productivity of other firms. We link the diffusion of ideas to spatial proximity and allow ideas to flow to nearby regional economies. Through the magic of solving for the reduced form of the theoretical model and the magic of spatial autoregressive processes, the simple dependence on a small number of neighboring regions leads to a reduced form theoretical model and an associated empirical model where changes in a single region can potentially impact all other regions. This implies that conventional regression interpretations of the parameter estimates would be wrong. The proper way to interpret the model has to rely on matrices of partial derivatives of the dependent variable with respect to changes in the Mankiw-Romer-Weil variables, using scalar summary measures for reporting the estimates of the marginal impacts from the model. The summary impact measure estimates indicate that technological interdependence among the European regions works through physical rather than human capital externalities.

Suggested Citation

  • Manfred M. Fischer, 2018. "Spatial Externalities and Growth in a Mankiw-Romer-Weil World," International Regional Science Review, , vol. 41(1), pages 45-61, January.
  • Handle: RePEc:sae:inrsre:v:41:y:2018:i:1:p:45-61
    DOI: 10.1177/0160017616628602
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    References listed on IDEAS

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    1. James Lesage & Manfred Fischer, 2008. "Spatial Growth Regressions: Model Specification, Estimation and Interpretation," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(3), pages 275-304.
    2. Mark Setterfield (ed.), 2010. "Handbook of Alternative Theories of Economic Growth," Books, Edward Elgar Publishing, number 12814.
    3. Bernard Fingleton & Manfred Fischer, 2010. "Neoclassical theory versus new economic geography: competing explanations of cross-regional variation in economic development," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 44(3), pages 467-491, June.
    4. Manfred M. Fischer & Peter Nijkamp (ed.), 2014. "Handbook of Regional Science," Springer Books, Springer, edition 127, number 978-3-642-23430-9, December.
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    Cited by:

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    2. Cristian Incaltarau & Gabriela Carmen Pascariu & Adelaide Duarte & Peter Nijkamp, 2021. "Migration, regional growth and convergence: a spatial econometric study on Romania," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(3), pages 497-532, June.
    3. Ji Uk Kim, 2020. "Technology diffusion, absorptive capacity, and income convergence for Asian developing countries: a dynamic spatial panel approach," Empirical Economics, Springer, vol. 59(2), pages 569-598, August.
    4. Ioannatos, Petros E., 2021. "Systematic growth asymmetry in the Eurozone? Evidence from a natural experiment," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).
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    6. Sedithippa J. Balaji & Munisamy Gopinath, 2023. "Spatial growth and convergence in Indian agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 54(6), pages 761-777, November.
    7. Petros E. Ioannatos, 2021. "Brexit or Euro for the UK? Evidence from Panel Data," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 63(1), pages 117-138, March.

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