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Towards a Multiregional NEG Framework: Comparing Alternative Modelling Strategies

In: Complexity and Geographical Economics

Author

Listed:
  • Pasquale Commendatore

    (University of Naples “Federico II”)

  • Valerio Filoso

    (University of Naples “Federico II”)

  • Theresa Grafeneder-Weissteiner

    (University of Vienna)

  • Ingrid Kubin

    (Vienna University of Economics and Business)

Abstract

This chapter reviews the New Economic Geography (NEG) models that explain the uneven distribution of economic activity across space employing endogenous agglomeration processes, and the interplay of agglomeration and dispersion forces. Unlike the two-region models that have a restricted applicability, this chapter focuses on the multiregional NEG models recently developed in the literature, reviews their contributions systematically and compares different modelling strategies. As unifying framework, we use the footloose entrepreneur model considering the role and nature of transport costs, and the welfare properties of the spatial equilibria and the design of optimal economic policies.

Suggested Citation

  • Pasquale Commendatore & Valerio Filoso & Theresa Grafeneder-Weissteiner & Ingrid Kubin, 2015. "Towards a Multiregional NEG Framework: Comparing Alternative Modelling Strategies," Dynamic Modeling and Econometrics in Economics and Finance, in: Pasquale Commendatore & Saime Kayam & Ingrid Kubin (ed.), Complexity and Geographical Economics, edition 127, pages 13-50, Springer.
    • Handle: RePEc:spr:dymchp:978-3-319-12805-4_2
    DOI: 10.1007/978-3-319-12805-4_2
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    Cited by:

    1. Commendatore, Pasquale & Kubin, Ingrid & Mossay, Pascal & Sushko, Iryna, 2015. "Dynamic agglomeration patterns in a two-country new economic geography model with four regions," Chaos, Solitons & Fractals, Elsevier, vol. 79(C), pages 2-17.
    2. Pasquale Commendatore & Ingrid Kubin & Pascal Mossay & Iryna Sushko, 2017. "The role of centrality and market size in a four-region asymmetric new economic geography model," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 1095-1131, November.

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