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Neoclassical Theory versus New Economic Geography. Competing explanations of cross-regional variation in economic development

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  • Fingleton, Bernard
  • Fischer, Manfred M.

Abstract

This paper uses data for 255 NUTS-2 European regions over the period 1995-2003 to test the relative explanatory performance of two important rival theories seeking to explain variations in the level of economic development across regions, namely the neoclassical model originating from the work of Solow (1956) and the so-called Wage Equation, which is one of a set of simultaneous equations consistent with the short-run equilibrium of new economic geography (NEG) theory, as described by Fujita, Krugman and Venables (1999). The rivals are non-nested, so that testing is accomplished both by fitting the reduced form models individually and by simply combining the two rivals to create a composite model in an attempt to identify the dominant theory. We use different estimators for the resulting panel data model to account variously for interregional heterogeneity, endogeneity, and temporal and spatial dependence, including maximum likelihood with and without fixed effects, two stage least squares and feasible generalised spatial two stage least squares plus GMM; also most of these models embody a spatial autoregressive error process. These show that the estimated NEG model parameters correspond to theoretical expectation, whereas the parameter estimates derived from the neoclassical model reduced form are sometimes insignificant or take on counterintuitive signs. This casts doubt on the appropriateness of neoclassical theory as a basis for explaining cross-regional variation in economic development in Europe, whereas NEG theory seems to hold in the face of competition from its rival.

Suggested Citation

  • Fingleton, Bernard & Fischer, Manfred M., 2010. "Neoclassical Theory versus New Economic Geography. Competing explanations of cross-regional variation in economic development," MPRA Paper 77554, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:77554
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    Cited by:

    1. 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.
    2. Uwe Neumann & Rüdiger Budde & Christoph Ehlert, 2012. "Urban Economic Growth in Europe Between 2001 and 2008 – Gravitation or Dispersion?," Ruhr Economic Papers 0384, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    3. Fischer, Manfred M., 2015. "Spatial Externalities and Growth in a Mankiw-Romer-Weil World: Theory and Evidence," Working Papers in Regional Science 2015/04, WU Vienna University of Economics and Business.
    4. Andrzej Cieślik & Bartłomiej Rokicki, 2016. "European Integration and Spatial Wage Structure in Poland," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 107(4), pages 435-453, September.
    5. Thomas Y. Mathä & Allison Shwachman Kaminaga, 2017. "Regional wages and market potential in the enlarged EU: an empirical investigation," Applied Economics, Taylor & Francis Journals, vol. 49(4), pages 376-385, January.
    6. Doran, Justin & Jordan, Declan, 2013. "Decomposing European NUTS2 regional inequality from 1980 to 2009: national and European policy implications," MPRA Paper 44805, University Library of Munich, Germany.
    7. Henryk Gurgul & Łukasz Lach, 2011. "The impact of regional disparities on economic growth," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 21(2), pages 17-43.
    8. Neumann, Uwe, 2023. "Regional adaptability to digital change: May the Swabian force be with you," Ruhr Economic Papers 1004, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    9. Badi H. Baltagi & Bernard Fingleton & Alain Pirotte, 2014. "Estimating and Forecasting with a Dynamic Spatial Panel Data Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(1), pages 112-138, February.
    10. Huali Xiang & Jun Yang & Xi Liu & Jay Lee, 2019. "Balancing Population Distribution and Sustainable Economic Development in Yangtze River Economic Belt of China," Sustainability, MDPI, vol. 11(12), pages 1-15, June.
    11. Philipp vom Berge, 2013. "Search unemployment and new economic geography," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(3), pages 731-751, June.
    12. Hildegunn Stokke & Jörn Rattsö, 2011. "Income convergence, migration and geography: Distribution analysis of regions in Norway," ERSA conference papers ersa10p174, European Regional Science Association.
    13. Cazzuffi, Chiara & Pereira-López, Mariana & Soloaga, Isidro, 2017. "Local poverty reduction in Chile and Mexico: The role of food manufacturing growth," Food Policy, Elsevier, vol. 68(C), pages 160-185.
    14. Ceren Ozgen & Peter Nijkamp & Jacques Poot, 2010. "The effect of migration on income growth and convergence: Meta‐analytic evidence," Papers in Regional Science, Wiley Blackwell, vol. 89(3), pages 537-561, August.
    15. Manfred Fischer, 2011. "A spatial Mankiw–Romer–Weil model: theory and evidence," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(2), pages 419-436, October.
    16. Hassen Abda Wako, 2018. "Aid, institutions and economic growth in sub†Saharan Africa: Heterogeneous donors and heterogeneous responses," Review of Development Economics, Wiley Blackwell, vol. 22(1), pages 23-44, February.
    17. Roberts, Mark & Deichmann, Uwe & Fingleton, Bernard & Shi, Tuo, 2010. "On the road to prosperity ? The economic geography of China's national expressway network," Policy Research Working Paper Series 5479, The World Bank.
    18. Rhydian James & Peter Midmore & Dennis Thomas, 2012. "Public Sector Size and Peripherality," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(4), pages 447-460, December.
    19. repec:zbw:rwirep:0384 is not listed on IDEAS
    20. José M. Gaspar, 2018. "A prospective review on New Economic Geography," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(2), pages 237-272, September.
    21. Manfred M. Fischer, 2009. "Regions, Technological Interdependence And Growth In Europe," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 3(2), pages 1-17, DECEMBER.
    22. Fernando Bruna, 2015. "Why do empirical tests tend to accept the NEG? An alternative approach to the 'wage equation' in European regions," Working Papers 15-11, Asociación Española de Economía y Finanzas Internacionales.
    23. Neumann, Uwe & Budde, Rüdiger & Ehlert, Christoph, 2012. "Urban Economic Growth in Europe Between 2001 and 2008 – Gravitation or Dispersion?," Ruhr Economic Papers 384, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    24. Aurélien Fichet de Clairfontaine & Christoph Hammer, 2018. "Is the wage equation spatial enough? Evidence from a novel regional trade dataset," Review of International Economics, Wiley Blackwell, vol. 26(3), pages 610-633, August.
    25. Marta Sylla & Tadeusz Lasota & Szymon Szewrański, 2019. "Valuing Environmental Amenities in Peri-Urban Areas: Evidence from Poland," Sustainability, MDPI, vol. 11(3), pages 1-15, January.

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    More about this item

    Keywords

    New economic geography; augmented Solow model; panel data model; spatially correlated error components; spatial econometrics;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General

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