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Types of Municipalities in Russian Federation by Economic Structure and Position in Settlement Pattern

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  • A. A. Romashina

    (Infrastructure Economics Center
    Lomonosov Moscow State University, Faculty of Geography)

Abstract

The article considers methodological approaches to the typology of Russian Federation municipalities and it’s practical application in spatial policy. The proposed typology is based on two groups of criteria: municipalities’ position in settlement pattern and economic structure, estimated via employment structure. The study is based on lower-level territorial division data. The article defines the term “agglomeration” important for settlement pattern studies. As a result, each municipality was classified according to it’s socioeconomic and spatial trajectory. It makes possible to estimate the spatial inequality of socioeconomic development at the municipal level. Factors affecting the trajectory of this development was assumed it the article. The results make it possible to consider the specifics of territories for effective policy. Focus transition to the level of municipalities makes it possible to take into account the potential of territories to develop effective spatial policy measures at the federal and regional levels and open additional opportunities for the results evaluation.

Suggested Citation

  • A. A. Romashina, 2020. "Types of Municipalities in Russian Federation by Economic Structure and Position in Settlement Pattern," Regional Research of Russia, Springer, vol. 10(2), pages 164-171, April.
    • Handle: RePEc:spr:rrorus:v:10:y:2020:i:2:d:10.1134_s2079970520020112
    DOI: 10.1134/S2079970520020112
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    References listed on IDEAS

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    1. Pierre‐Philippe Combes & Gilles Duranton & Laurent Gobillon & Diego Puga & Sébastien Roux, 2012. "The Productivity Advantages of Large Cities: Distinguishing Agglomeration From Firm Selection," Econometrica, Econometric Society, vol. 80(6), pages 2543-2594, November.
    2. Ciccone, Antonio, 2002. "Agglomeration effects in Europe," European Economic Review, Elsevier, vol. 46(2), pages 213-227, February.
    3. A. G. Makhrova & P. L. Kirillov & A. N. Bochkarev, 2017. "Work commuting of the population in the Moscow agglomeration: Estimating commuting flows using mobile operator data," Regional Research of Russia, Springer, vol. 7(1), pages 36-44, January.
    4. repec:hal:pseose:hal-00812695 is not listed on IDEAS
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    Cited by:

    1. T. G. Nefedova & A. I. Treivish & A. V. Sheludkov, 2022. "Spatially Uneven Development in Russia," Regional Research of Russia, Springer, vol. 12(1), pages 4-19, March.

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