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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).

Suggested Citation

  • 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. 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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