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Manufacturing (co)agglomeration in a transition country: Evidence from Russia

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  • Ekaterina Aleksandrova
  • Kristian Behrens
  • Maria Kuznetsova

Abstract

We document the geographic concentration patterns of Russian manufacturing using detailed microgeographic data. About 80% of three‐digit industries are significantly agglomerated, and a similar share of three‐digit industry pairs is significantly coagglomerated. Industry pairs with stronger buyer–supplier links—as measured using Russian input–output tables—tend to be slightly more coagglomerated. This result is robust to instrumental variable estimation using either Canadian or US instruments. Using Canadian ad valorem transport costs as a proxy for transport costs in Russia, we further find that industries with higher transport costs are more dispersed, and industry pairs with higher transport costs are less coagglomerated.

Suggested Citation

  • Ekaterina Aleksandrova & Kristian Behrens & Maria Kuznetsova, 2020. "Manufacturing (co)agglomeration in a transition country: Evidence from Russia," Journal of Regional Science, Wiley Blackwell, vol. 60(1), pages 88-128, January.
    • Handle: RePEc:bla:jregsc:v:60:y:2020:i:1:p:88-128
    DOI: 10.1111/jors.12436
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    4. Sugam Agarwal & Smruti Ranjan Behera, 2022. "Geographical concentration of knowledge and technology-intensive industries in India: empirical evidence from establishment-level analysis," Indian Economic Review, Springer, vol. 57(2), pages 513-552, December.
    5. Yao, Yongling & Pan, Haozhi & Cui, Xiaoyu & Wang, Zhen, 2022. "Do compact cities have higher efficiencies of agglomeration economies? A dynamic panel model with compactness indicators," Land Use Policy, Elsevier, vol. 115(C).
    6. Andreas Behr & Christoph Schiwy & Lucy Hong, 2023. "Do high local customer and supply densities foster firm growth? [Fördern hohe lokale Kunden- und Lieferantendichten das Unternehmenswachstum?]," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 43(2), pages 265-289, August.
    7. Edilberto Tiago Almeida & Raul Mota Silveira Neto & Jaime Macedo Brito Bastos & Rubens Lopes Pereira Silva, 2021. "Location patterns of service activities in large metropolitan areas: the Case of São Paulo," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(2), pages 451-481, October.
    8. Rulong Zhuang & Kena Mi & Zhangwei Feng, 2021. "Industrial Co-Agglomeration and Air Pollution Reduction: An Empirical Evidence Based on Provincial Panel Data," IJERPH, MDPI, vol. 18(22), pages 1-19, November.
    9. S. Usai & Frederick Guy & A. Tidu, 2022. "Measuring spatial dispersion: an experimental test on the M-index," Working Paper CRENoS 202206, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    10. Éric Marcon & Florence Puech, 2023. "Mapping distributions in non-homogeneous space with distance-based methods [Cartographie des distributions dans un espace non homogène à l'aide de méthodes basées sur la distance]," Post-Print hal-04345149, HAL.
    11. A. Tidu & S. Usai & Frederick Guy, 2021. "Agglomeration in manufacturing and services: an experimental application of a distance-based measure to Sardinia," Working Paper CRENoS 202110, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    12. Éric Marcon & Florence Puech, 2023. "Mapping distributions in non-homogeneous space with distance-based methods," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-16, December.
    13. Steijn, Mathieu P.A. & Koster, Hans R.A. & Van Oort, Frank G., 2022. "The dynamics of industry agglomeration: Evidence from 44 years of coagglomeration patterns," Journal of Urban Economics, Elsevier, vol. 130(C).
    14. Wenwen Wang, 2021. "The heterogeneity of agglomeration effect: Evidence from Chinese cities," Growth and Change, Wiley Blackwell, vol. 52(1), pages 392-424, March.
    15. Sowjanya Dhulipala & Gopal R. Patil, 2021. "Identification of freight generating industry complexes: A descriptive spatial analysis," Growth and Change, Wiley Blackwell, vol. 52(4), pages 2680-2712, December.
    16. Edilberto Tiago de Almeida & Raul da Mota Silveira Neto & Roberta de Moraes Rocha, 2023. "The spatial scope of agglomeration economies in Brazil," Journal of Regional Science, Wiley Blackwell, vol. 63(4), pages 820-863, September.

    More about this item

    JEL classification:

    • 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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