National culture and challenges ahead of development with emphasis on Corruption (Variable-Oriented Comparative Analysis)

Document Type : Original Article

Authors

1 social science, university of mazandaran

2 university of mazandaran

3 Faculty of Sociology, Islamic Azad University, Babol Branch, Mazandaran

10.22034/scs.2023.412977.1485

Abstract

Today's, development plans confront with serious challenges specially in developing countries. corruption is one of them.all counties suffer from some level of corruption. These Causes Integrated with Together to Bring Different Type of Corruption in Society. In Between Role of Culture in Increase and Decrease in Corruption Between Theorists Caused Controversy Issue. This Article Tries to Investigate of Indicators of National Culture on Corruption perception in Target Countries.The aim of the research is to investigate the impact of national culture categories on the perception of corruption among selected countries, emphasizing Hofstede's theory.Method of This survey is Variable- Orinated Comparative Analysis.In This research, Secondary Data of 80 Countries were used.The Results of the Correlation Test Between the Indicators of National Culture and Perception of Corruption Indicate the Significance of the Variable Relationship Between Power Distance and Individualism and Futurism and Self – Restraint and certainty, with the Perception of Corruption in the Studied Countries. Also, no significant Relationship Between Masculinity Index and Perception of Corruption Was Observed.Multivariate Analysis Shows that Power Distance (BETA/0.42) and futurism (BETA/-0.36) Variables have the Greatest Impact and uncertainty has the least impact on the perception of corruption. Finally, the used Cultural Variables Have been Able to Explain 66% of the Changes in the Dependent Variable
The Results of this Research showed that although national culture is a central category in the decrease of development challenges specially the problem of corruption, it is necessary to pay attention to other variable, including economic variables and their simultaneous impact.

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