Analysis of Influence of Social–Economic Indices to Criminality in Lithuania
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Abstract
One of the most sensitive indicators of a moral and social state of society is criminality. The paper examines causes of criminality in Lithuania and compares criminality in Lithuania with criminal situation in others East European countries.
Estimating causes of criminality we have to perform an analysis of social–economic indices and to determine their influence to tendencies of criminality. A gross national product, unemployment and economical strata in population are the main social–economical indices. Results of investigation corroborate the main worldwide tendencies. The number of crimes does not have tendency to decrease depending directly on changes for the better in economical situation. The social justice level of society always has had the great influence to criminality. The number of crimes decreases when economical product is distributed more evenly between strata of population.
General tendencies of criminality in Lithuania are the same as in Bulgaria, Hungary or Poland. Dynamic series allows to decrease differences in crime registration systems and to distinguish the main trends in the rate of criminality. The analysis of differences between the criminality in Lithuania and the average criminality rates in Bulgaria, Hungary and Poland is fulfilled using linear regression model.
Estimating causes of criminality we have to perform an analysis of social–economic indices and to determine their influence to tendencies of criminality. A gross national product, unemployment and economical strata in population are the main social–economical indices. Results of investigation corroborate the main worldwide tendencies. The number of crimes does not have tendency to decrease depending directly on changes for the better in economical situation. The social justice level of society always has had the great influence to criminality. The number of crimes decreases when economical product is distributed more evenly between strata of population.
General tendencies of criminality in Lithuania are the same as in Bulgaria, Hungary or Poland. Dynamic series allows to decrease differences in crime registration systems and to distinguish the main trends in the rate of criminality. The analysis of differences between the criminality in Lithuania and the average criminality rates in Bulgaria, Hungary and Poland is fulfilled using linear regression model.
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Please see Copyright and Licence Agreement for further details.
