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Implementation of Performance Management in Regional Government in Russia: Evidence of Data Manipulation

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  • Alexander Kalgin

Abstract

Public sector performance measurement may be affected by data manipulation. This study empirically explores strategies of data manipulation used by civil servants at the regional level in Russia. Twenty-five civil servants from three regional governments were interviewed. Two strategies were identified: 'prudent' bureaucrats kept a low profile by reporting 'more-normal-than-real' figures; 'reckless' bureaucrats aimed at inflating figures to maximize credit. Systematic application of these strategies produced a detectable bias in the overall performance data which were estimated using a nation-wide performance data set covering the period 2007-2011 (with a unified list of over 300 indicators from 83 regional governments).

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  • Alexander Kalgin, 2016. "Implementation of Performance Management in Regional Government in Russia: Evidence of Data Manipulation," Public Management Review, Taylor & Francis Journals, vol. 18(1), pages 110-138, January.
    • Handle: RePEc:taf:pubmgr:v:18:y:2016:i:1:p:110-138
    DOI: 10.1080/14719037.2014.965271
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    Cited by:

    1. David Karpa & Torben Klarl & Michael Rochlitz, 2021. "Artificial Intelligence, Surveillance, and Big Data," Papers 2111.00992, arXiv.org.
    2. Briviba, Andre & Frey, Bruno & Moser, Louis & Bieri, Sandro, 2024. "Governments manipulate official Statistics: Institutions matter," European Journal of Political Economy, Elsevier, vol. 82(C).
    3. Oana CHIRICA & Mihai-Alexandru GHIGIU, 2024. "Revenue Sources in the Budgets of Public Higher Education Institutions. An Empirical Examination of Financial and Non-Financial Performance Criteria," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 5(2), pages 58-73, February.
    4. Mihai-Alexandru Ghigiu, 2024. "Budgets and Performance Metrics in Modern Organizations. Preliminary Insights into the Budgeting Process of Higher Education Institutions," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 58-63.
    5. David Karpa & Torben Klarl & Michael Rochlitz, 2021. "Artificial Intelligence, Surveillance, and Big Data," Bremen Papers on Economics & Innovation 2108, University of Bremen, Faculty of Business Studies and Economics.

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