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Assessing agglomeration economies in a spatial framework with endogenous regressors

Author

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  • Michael J. Artis

    (Department of Economics, University of Swansea)

  • Ernest Miguélez

    (Faculty of Economics, University of Barcelona)

  • Rosina Morenos

    (Faculty of Economics, University of Barcelona)

Abstract

This paper is concerned with the influence of agglomeration economies on economic outcomes across British regions. The concentration of economic activity in one place can foster economic performance due to the reduction in transportation costs, the ready availability of customers and suppliers, and knowledge spillovers. However, the concentration of several types of intangible assets can boost productivity as well. Thus, using an interesting dataset which proxies regional productivity, we will assess the relative importance of agglomeration and other assets, controlling for endogeneity, spatial autocorrelation and heteroscedasticity at the same time. Our results suggest that agglomeration has a definite positive influence on productivity, although our estimates of its effect are dramatically reduced when spatial dependence and other hitherto omitted variables proxying intangible assets are controlled for.

Suggested Citation

  • Michael J. Artis & Ernest Miguélez & Rosina Morenos, 2011. "Assessing agglomeration economies in a spatial framework with endogenous regressors," IREA Working Papers 201112, University of Barcelona, Research Institute of Applied Economics, revised Jul 2011.
    • Handle: RePEc:ira:wpaper:201112
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    Cited by:

    1. Michael Artis & Declan Curran & Marianne Sensier, 2011. "Investigating Agglomeration Economies in a Panel of European Cities and Regions," SERC Discussion Papers 0078, Centre for Economic Performance, LSE.
    2. Konstantinos A. Melachroinos & Nigel Spence, 2013. "Intangible Investment and Regional Productivity in Great Britain," Regional Studies, Taylor & Francis Journals, vol. 47(7), pages 1048-1064, July.
    3. Hashiguchi, Yoshihiro & Chen, Kuang-hui, 2012. "Assessing agglomeration economies in the Yangzi River Delta, China : a bayesian spatial econometric approach," IDE Discussion Papers 339, Institute of Developing Economies, Japan External Trade Organization(JETRO).

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    More about this item

    Keywords

    Agglomeration economies; intangible assets; endogeneity; spatial autocorrelation; spatial HAC estimation. JEL classification:C21; J24; R10; R11; R12.;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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