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Manufacturing (Co)Agglomeration in a Transition Country: Evidence from Russia

Author

Listed:
  • Ekaterina Aleksandrova

    (National Research University Higher School of Economics)

  • Kristian Behrens

    (National Research University Higher School of Economics)

  • Maria Kuznetsova

    (National Research University Higher School of Economics)

Abstract

We document geographic concentration patterns of Russian manufacturing using microgeographic data. About 42–52% of 4-digit and 63–75% of 3-digit industries are localized, with a higher share in the European part than in the Asian part. About 70% of 3-digit industry pairs are coagglomerated, especially those with stronger buyer-supplier links, more knowledge sharing, and lower transport costs. Pairs with a more similar workforce are, however, less coagglomerated, which points to impediments in labor mobility between regions and firms. Overall, the agglomeration forces are fairly similar to those operating in developed countries, with transportation likely to be a key driver.

Suggested Citation

  • Ekaterina Aleksandrova & Kristian Behrens & Maria Kuznetsova, 2018. "Manufacturing (Co)Agglomeration in a Transition Country: Evidence from Russia," HSE Working papers WP BRP 186/EC/2018, National Research University Higher School of Economics.
  • Handle: RePEc:hig:wpaper:186/ec/2018
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    References listed on IDEAS

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    Cited by:

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    2. Wenwen Wang, 2021. "The heterogeneity of agglomeration effect: Evidence from Chinese cities," Growth and Change, Wiley Blackwell, vol. 52(1), pages 392-424, March.
    3. 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.
    4. Zhiqiang Liu & Shitong Jia & Zixing Wang & Caiyun Guo & Yanqi Niu, 2022. "A Measurement Model and Empirical Analysis of the Coordinated Development of Rural E-Commerce Logistics and Agricultural Modernization," Sustainability, MDPI, vol. 14(21), pages 1-22, October.
    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. 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.
    8. 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.
    9. 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).
    10. 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.
    11. 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.
    12. 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.

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    More about this item

    Keywords

    agglomeration; coagglomeration; determinants of geographic concentration; manufacturing industries; Russia.;
    All these keywords.

    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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