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Competition among Russian Grocery Stores: Database on St. Petersburg, 2017–2021

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  • Dmitrii Tereshchenko

    (National Research University Higher School of Economics)

Abstract

The Russian grocery retail industry has developed dynamically over the past two decades. The accompanying changes in competition and consumer behaviour make it an interesting subject for analysis, but full-fledged empirical studies in this area have not yet been conducted. This is largely due to the difficulty of accessing data on retail, which are often subject to commercial secrecy. However, in recent years the situation has changed and some data have become available to researchers. In this paper, we describe the data we obtained for the study of the grocery retailing industry in St. Petersburg. Particularly, we describe three blocks of data, including (i) store location data, (ii) socioeconomic characteristics of local markets, and (iii) sales data. For each data block, we outline the stages of data collection and processing, and provide basic descriptive statistics and graphs. In addition, we discuss the potential uses of the collected data in further research.

Suggested Citation

  • Dmitrii Tereshchenko, 2022. "Competition among Russian Grocery Stores: Database on St. Petersburg, 2017–2021," HSE Working papers WP BRP 258/EC/2022, National Research University Higher School of Economics.
  • Handle: RePEc:hig:wpaper:258/ec/2022
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    References listed on IDEAS

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    1. A. Yeşim Orhun, 2013. "Spatial differentiation in the supermarket industry: The role of common information," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 3-37, March.
    2. Ting Zhu & Vishal Singh, 2009. "Spatial competition with endogenous location choices: An application to discount retailing," Quantitative Marketing and Economics (QME), Springer, vol. 7(1), pages 1-35, March.
    3. Paul B. Ellickson & Paul L.E. Grieco & Oleksii Khvastunov, 2020. "Measuring competition in spatial retail," RAND Journal of Economics, RAND Corporation, vol. 51(1), pages 189-232, March.
    4. Thomas J. Holmes, 2011. "The Diffusion of Wal‐Mart and Economies of Density," Econometrica, Econometric Society, vol. 79(1), pages 253-302, January.
    5. Mitsuru Igami & Nathan Yang, 2016. "Unobserved heterogeneity in dynamic games: Cannibalization and preemptive entry of hamburger chains in Canada," Quantitative Economics, Econometric Society, vol. 7(2), pages 483-521, July.
    6. Victor Aguirregabiria & Gustavo Vicentini, 2016. "Dynamic Spatial Competition Between Multi-Store Retailers," Journal of Industrial Economics, Wiley Blackwell, vol. 64(4), pages 710-754, December.
    7. Yang, Nathan, 2020. "Learning in retail entry," International Journal of Research in Marketing, Elsevier, vol. 37(2), pages 336-355.
    8. Pennerstorfer, Dieter & Yontcheva, Biliana, 2021. "Local market definition in competition analysis: An application to entry models," Economics Letters, Elsevier, vol. 198(C).
    9. V. Radaev., 2006. "The Evolution of Organizational Forms in Russian Retailing," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 10.
    10. Svetlana Avdasheva & Andrei Shastitko, 2011. "Russian anti-trust policy: power of enforcement versus quality of rules," Post-Communist Economies, Taylor & Francis Journals, vol. 23(4), pages 493-505, June.
    11. Liran Einav & Ephraim Leibtag & Aviv Nevo, 2010. "Recording discrepancies in Nielsen Homescan data: Are they present and do they matter?," Quantitative Marketing and Economics (QME), Springer, vol. 8(2), pages 207-239, June.
    12. Katja Seim, 2006. "An empirical model of firm entry with endogenous product‐type choices," RAND Journal of Economics, RAND Corporation, vol. 37(3), pages 619-640, September.
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    More about this item

    Keywords

    retail industries; grocery sector; market studies;
    All these keywords.

    JEL classification:

    • L0 - Industrial Organization - - General
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

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