The article outlines the need to identify appropriate explanations for various acts of deviant behaviour, mental illness and violent reactions in Romanian contemporary society which is facing a crisis of values and character. The objective of the article is to provide empirical evidence and raise awareness regarding the relationship between crime and socioeconomic factors in Romania over the period 1990-2014, based on statistics for testing co-integration theory and causal relationships. Specifically, the proposed analysis intends to capture the complexity of socioeconomic pressures on individuals and to clarify the ways in which the vitiation of modern society represents a manifestation of implemented economic mechanisms. By using data related to income, unemployment, inflation, inequality, development, education and population density as socioeconomic factors and also data on crime divided by region and type, the article supports the hypothesis of significant causality between socioeconomic factors and crime. Two directions can be considered for revealing the general result of the proposed analysis: one is that an increase in income inequality has a strong and robust effect regarding crime rates rising, and the second reveals that the place of residence is essential, the urban agglomeration being a generating factor for crime.
Economic growth is a complex process affected by many factors at different levels which is commonly proxied by health. In this study, the causal between health and financial development is investegated using heteregenuis panel causality test over the period 1991-2014. To this end, Principal component analysis is initially applied to construct indexes for each variable. Results show that health development indexgranger causes financial development index.
This paper examines the long run and causal relationship between health expenditures and economic growth in the in Eurasian Economic Union over the period 1995-2014. For this examination, panel cointegration and causality methodologies are utilized. Cointegration results which obtained from Pedroni and Kao tests support an evidence of a long run relationship among the variables under investigation. Long run elasticities indicate that health expenditures affect growth positively. Causality results, on the other side, provide a strong support of a bidirectional running between health expenditures and economic growth both in the short and in the long run.
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