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Despite its vital importance in economic analysis and policy recommendation, the spatial effects of corruption as well as its contagiousness were less addressed in the literature of corruption. Hence, the purpose of this study was to investigate the spatial effects of corruption in Asian countries during the period from 2012 to 2019 using dynamic spatial autoregressive (SAR) models. According to the results, the existence of positive spatial spillover effects of corruption in Asian countries was confirmed; meaning that the increase of the corruption indicators in neighbouring countries had a positive effect on the corruption in one country. Moreover, the level of corruption in the previous periods had a positive and significant effect on the current level of corruption in the studied countries. On the other hand, the existence of a U‐inverted relationship between GDP and corruption was confirmed in Asian countries. Finally, the results of the study indicated that the increase of the government size in Asian countries increases the level of corruption.

However, urbanization can have positive effects on the labor force and economic growth in urban areas the unplanned and rapid pace of urbanization process can ultimately lead to unpleasant consequences including marginalization, unemployment, poverty, the emergence of slums and shanty towns and the prevalence of crime in urban areas. Therefore, the objective of this study was to investigate the spatial spillover effects of urbanization on crime in 30 Iranian provinces during the period from 2006 to 2015 using dynamic spatial panel data models. The results of the study revealed that urbanization had a positive and statistically significant impacts on crime per capita in Iranian provinces indicating an increase in urbanization enhances the crime level. In addition, unemployment rate, and human capital had significant and negative effects on crime in Iranian provinces, respectively. Finally, the crime per capita in a previous period exerted a significant positive effect on the current crime which stablished the dynamic nature of this phenomenon. Moreover, the results of the study demonstrated that increasing crime per capita in neighboring provinces could elevate the crime in a given province.

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