ESTABLISHING CRIMINOLOGICAL LAWS OF CRIMINALITY IN UKRAINE USING CORRELATION AND REGRESSION ANALYSIS
Objective: To explain, predict and counteract bribery in Russia and Ukraine. Methods: Analysis of time series of criminological data, including revealing trends and obtaining trend equations, calculating the central tendency and dispersion measures, calculating and analyzing the coefficient of bribe...
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| Format: | Article |
| Language: | English |
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Tatar Educational Center “Taglimat” Ltd.
2013-06-01
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| Series: | Russian Journal of Economics and Law |
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| Online Access: | https://www.rusjel.ru/jour/article/view/1231 |
| _version_ | 1797256007865335808 |
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| author | O. A. Ol’Kova |
| author_facet | O. A. Ol’Kova |
| author_sort | O. A. Ol’Kova |
| collection | DOAJ |
| description | Objective: To explain, predict and counteract bribery in Russia and Ukraine. Methods: Analysis of time series of criminological data, including revealing trends and obtaining trend equations, calculating the central tendency and dispersion measures, calculating and analyzing the coefficient of bribery variations, calculating the specific weight of bribery in the criminality structure, the least square method, the double regression analysis, calculating the approximation coefficients, building functions graphs, observation, comparative-legal method, formal-logical methods, historical method, using the probability laws of distribution. Results: 1) The criminal legislations of Russia and Ukraine are compared by the appropriate corpus delicti, their comparability is determined; 2) bribery trends in Russia and Ukraine are revealed and interpreted in Soviet and post-Soviet periods: а) in the Soviet period bribery in RSFSR and UkrSSR had similar indicators and dynamics of development; б) in post-Soviet period opposite trends are marked in bribery dynamics in Russia and Ukraine; 3) it is shown that bribery distribution by the Ukraine regions is close to normal one (Gauss distribution); 4) it is proved that both in Russia and Ukraine bribery has low specific weight in the criminality structure (does not exceed 0.5 % in Russia and 1 % in Ukraine). Scientific novelty: Obtaining trend equations of bribery in Russia and Ukraine, comparing bribery trends in Ukraine regions, revealing the forms of bribery distributions in Ukraine regions, researching the variations and central trend of time series of bribery coefficients in the compared countries, analysis of bribery coefficients, bribery variations and specific weight of bribery in Russia and Ukraine. Practical value: The obtained scientific results would be useful in analytical-staff work of Interior bodies, law-making activity of various state bodies aimed at corruption counteraction. |
| first_indexed | 2024-03-08T23:16:29Z |
| format | Article |
| id | doaj.art-79294c20f90844eead55bd4521596bfe |
| institution | Directory Open Access Journal |
| issn | 2782-2923 |
| language | English |
| last_indexed | 2024-04-24T22:14:54Z |
| publishDate | 2013-06-01 |
| publisher | Tatar Educational Center “Taglimat” Ltd. |
| record_format | Article |
| series | Russian Journal of Economics and Law |
| spelling | doaj.art-79294c20f90844eead55bd4521596bfe2024-03-20T08:16:45ZengTatar Educational Center “Taglimat” Ltd.Russian Journal of Economics and Law2782-29232013-06-01022652711229ESTABLISHING CRIMINOLOGICAL LAWS OF CRIMINALITY IN UKRAINE USING CORRELATION AND REGRESSION ANALYSISO. A. Ol’Kova0Surgut state university of Khanty-Mansi Autonomous district of YugraObjective: To explain, predict and counteract bribery in Russia and Ukraine. Methods: Analysis of time series of criminological data, including revealing trends and obtaining trend equations, calculating the central tendency and dispersion measures, calculating and analyzing the coefficient of bribery variations, calculating the specific weight of bribery in the criminality structure, the least square method, the double regression analysis, calculating the approximation coefficients, building functions graphs, observation, comparative-legal method, formal-logical methods, historical method, using the probability laws of distribution. Results: 1) The criminal legislations of Russia and Ukraine are compared by the appropriate corpus delicti, their comparability is determined; 2) bribery trends in Russia and Ukraine are revealed and interpreted in Soviet and post-Soviet periods: а) in the Soviet period bribery in RSFSR and UkrSSR had similar indicators and dynamics of development; б) in post-Soviet period opposite trends are marked in bribery dynamics in Russia and Ukraine; 3) it is shown that bribery distribution by the Ukraine regions is close to normal one (Gauss distribution); 4) it is proved that both in Russia and Ukraine bribery has low specific weight in the criminality structure (does not exceed 0.5 % in Russia and 1 % in Ukraine). Scientific novelty: Obtaining trend equations of bribery in Russia and Ukraine, comparing bribery trends in Ukraine regions, revealing the forms of bribery distributions in Ukraine regions, researching the variations and central trend of time series of bribery coefficients in the compared countries, analysis of bribery coefficients, bribery variations and specific weight of bribery in Russia and Ukraine. Practical value: The obtained scientific results would be useful in analytical-staff work of Interior bodies, law-making activity of various state bodies aimed at corruption counteraction.https://www.rusjel.ru/jour/article/view/1231criminologycriminalitycriminality lawsintended killingbriberyquintile coefficient of differentiation of the total gain of the populationquintile coefficient of fundspersonal disposable income per capitacorrelation analysisregression analysis |
| spellingShingle | O. A. Ol’Kova ESTABLISHING CRIMINOLOGICAL LAWS OF CRIMINALITY IN UKRAINE USING CORRELATION AND REGRESSION ANALYSIS Russian Journal of Economics and Law criminology criminality criminality laws intended killing bribery quintile coefficient of differentiation of the total gain of the population quintile coefficient of funds personal disposable income per capita correlation analysis regression analysis |
| title | ESTABLISHING CRIMINOLOGICAL LAWS OF CRIMINALITY IN UKRAINE USING CORRELATION AND REGRESSION ANALYSIS |
| title_full | ESTABLISHING CRIMINOLOGICAL LAWS OF CRIMINALITY IN UKRAINE USING CORRELATION AND REGRESSION ANALYSIS |
| title_fullStr | ESTABLISHING CRIMINOLOGICAL LAWS OF CRIMINALITY IN UKRAINE USING CORRELATION AND REGRESSION ANALYSIS |
| title_full_unstemmed | ESTABLISHING CRIMINOLOGICAL LAWS OF CRIMINALITY IN UKRAINE USING CORRELATION AND REGRESSION ANALYSIS |
| title_short | ESTABLISHING CRIMINOLOGICAL LAWS OF CRIMINALITY IN UKRAINE USING CORRELATION AND REGRESSION ANALYSIS |
| title_sort | establishing criminological laws of criminality in ukraine using correlation and regression analysis |
| topic | criminology criminality criminality laws intended killing bribery quintile coefficient of differentiation of the total gain of the population quintile coefficient of funds personal disposable income per capita correlation analysis regression analysis |
| url | https://www.rusjel.ru/jour/article/view/1231 |
| work_keys_str_mv | AT oaolkova establishingcriminologicallawsofcriminalityinukraineusingcorrelationandregressionanalysis |