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A Comparison of Russian Practices in Industrial Statistics with Un Recommendations: Similarities and Differences in Classifications, Data Items and Indicators

Author

Listed:
  • Liudmila Kitrar

    (National Research University Higher School of Economics)

  • Georgy Ostapkovich

    (National Research University Higher School of Economics)

  • Tamara Lipkind

    (National Research University Higher School of Economics)

  • Kateryna Gumeniuk

    (United Nations Industrial Development Organization)

  • Liudmila Katorgina

    (Federal State Statistic Services)

Abstract

This study compares Russian state information systems of industry with UN international recommendations. The harmonization of the Russian information system with successful international practices is necessary for measuring the main industrial indicator levels and dynamics in comparison with the information analogues of both cross-border and strategically important countries. This allows the estimation of the efficiency and competitiveness of Russian industry and the best decisions to be made at all levels of governance in Russia including in the technology and innovation policy sphere. The study shows that a significant number of annual, quarterly, monthly and weekly reporting forms within the Russian statistical system in the absence of a single questionnaire for obtaining comprehensive information from an enterprise and unified methodological recommendations do not solve the information gap problem. The available disaggregated information is not sufficient to analyse the quality and effectiveness of industrial policy, especially in comparison with global levels and tendencies of re-industrialization. The state statistical system needs modernization to reduce the reporting burden on enterprises and improve information transparency and comparability at the detailed level.

Suggested Citation

  • Liudmila Kitrar & Georgy Ostapkovich & Tamara Lipkind & Kateryna Gumeniuk & Liudmila Katorgina, 2017. "A Comparison of Russian Practices in Industrial Statistics with Un Recommendations: Similarities and Differences in Classifications, Data Items and Indicators," HSE Working papers WP BRP 72/STI/2017, National Research University Higher School of Economics.
    • Handle: RePEc:hig:wpaper:72sti2017
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    References listed on IDEAS

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    1. Sinn, Hans-Werner, 2012. "Casino Capitalism: How the Financial Crisis Came About and What Needs to be Done Now," OUP Catalogue, Oxford University Press, number 9780199659883, Decembrie.
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    Cited by:

    1. Brock, Gregory, 2019. "A remote sensing look at the economy of a Russian region (Rostov) adjacent to the Ukrainian crisis," Journal of Policy Modeling, Elsevier, vol. 41(2), pages 416-431.

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    More about this item

    Keywords

    industrial statistics; statistical unit; economic activities classification;
    All these keywords.

    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other

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