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Agglomeration Externalities in Germany

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  • Eckhardt Bode

Abstract

Several recent econometric investigations found externalities related to the density of economic activity to account for one fifth to one half of total regional variations in average labor productivity in the U.S. and big European countries, including Germany. The present paper shows for German NUTS 3 regions, first, that this result is not robust against a more extensive control for private returns that may be correlated with economic density. The paper presents, second, evidence of various types of agglomeration economies, including labor-market pooling, human-capital externalities, localized R&D spillovers, gains from the variety of intermediate goods, to affect regional productivity significantly. Although the productivity effects of these externalities within regions cannot be identified because they are observationally equivalent to individual returns, they can be identified by exploiting the spatial dimension of the data. Keywords: productivity, agglomeration externalities, spatial econometrics JEL: C21, R12

Suggested Citation

  • Eckhardt Bode, 2004. "Agglomeration Externalities in Germany," ERSA conference papers ersa04p120, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa04p120
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    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa04/PDF/120.pdf
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    References listed on IDEAS

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    2. Ciccone, Antonio, 2002. "Agglomeration effects in Europe," European Economic Review, Elsevier, vol. 46(2), pages 213-227, February.
    3. Francisco L. Rivera-Batiz & Luis A. Rivera-Batiz, 2018. "Increasing Returns, Monopolistic Competition, and Agglomeration Economies in Consumption and Production," World Scientific Book Chapters, in: Francisco L Rivera-Batiz & Luis A Rivera-Batiz (ed.), International Trade, Capital Flows and Economic Development, chapter 6, pages 141-176, World Scientific Publishing Co. Pte. Ltd..
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    5. Dekle, Robert & Eaton, Jonathan, 1999. "Agglomeration and Land Rents: Evidence from the Prefectures," Journal of Urban Economics, Elsevier, vol. 46(2), pages 200-214, September.
    6. Audretsch, David B. & Feldman, Maryann P., 2004. "Knowledge spillovers and the geography of innovation," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 61, pages 2713-2739, Elsevier.
    7. Rui Baptista, 2003. "Productivity and the Density of Local Clusters," Advances in Spatial Science, in: Johannes Bröcker & Dirk Dohse & Rüdiger Soltwedel (ed.), Innovation Clusters and Interregional Competition, chapter 9, pages 163-181, Springer.
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    10. Gordon H. Hanson, 2000. "Scale Economies and the Geographic Concentration of Industry," NBER Working Papers 8013, National Bureau of Economic Research, Inc.
    11. Eckhardt Bode, 2004. "The spatial pattern of localized R&D spillovers: an empirical investigation for Germany," Journal of Economic Geography, Oxford University Press, vol. 4(1), pages 43-64, January.
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    Cited by:

    1. Marcus Berliant & Chia-Ming Yu, 2015. "Locational Signaling And Agglomeration," Journal of Regional Science, Wiley Blackwell, vol. 55(5), pages 757-773, November.
    2. Azari, Mehdi & Kim, Hakkon & Kim, Jun Yeup & Ryu, Doojin, 2016. "The effect of agglomeration on the productivity of urban manufacturing sectors in a leading emerging economy," Economic Systems, Elsevier, vol. 40(3), pages 422-432.

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    More about this item

    Keywords

    productivity; agglomeration externalities; spatial econometrics jel: c21; r12;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • 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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