This paper examines the factors affecting the number of registered corruption crimes in the regions of Russia. There are many anti-corruption measures and programs in Russia, but the number of corruption crimes remains high. The study of the factors that affect the number of these crimes can increase the efficiency of anti-corruption policy.The study is based on the data of 81 Russian Regions for 10 years (from 2008 to 2017). As a measure of corruption, we use the official statistics on number of registered giving and receiving bribes. The study method is a regression analysis of panel data. The study is focused on the duality of studied variables. On the one hand, variables reflect the level of corruption in the regions, on the other hand, they reflect efforts of police and local authorities in reducing corruption. As a result, several conclusions were made. The number of registered corruption crimes depends on inflation (positive influence) and income inequality (positive influence). The GRP per capita also has a significant (but controversial) influence on the number of corruption crimes. One of the most interesting findings is that the share of citizens with higher education has a positive influence on the registered number of receiving bribes. In can be explained by the fact that educated people has a higher demand for the investigation of anti-corruption crimes. We haven’t found significant impact of unemployment, urbanization, the share of civil servants and the election of the governor to the level of corruption in the regions. These results can be used to improve anti-corruption policy in Russian regions.
Translated title of the contributionECONOMETRIC ANALYSIS OF THE FACTORS OF THE NUMBER OF REGISTERED CORRUPTION CRIMES IN THE REGIONS OF RUSSIA
Original languageRussian
Pages (from-to)87-98
Number of pages12
JournalИзвестия Дальневосточного федерального университета. Экономика и управление
Issue number2 (98)
Publication statusPublished - 2021

    Level of Research Output

  • VAK List

    GRNTI

  • 00.00.00 SOCIAL SCIENCES IN GENERAL

ID: 29729312