In collaboration with Payame Noor University and Iranian Association for Energy Economics (IRAEE)

Document Type : ORIGINAL ARTICLE

Authors

1 Ph.D. Student, Department of Economics, Arak Branch, Islamic Azad University, Arak.

2 Assistant Professor, Department of Economics, Arak Branch, Islamic Azad University, Arak, Iran.

3 Associate Professor, Department of Economics, Arak Branch, Islamic Azad University, Arak, Iran.

Abstract

Economic growth is affected by the speed of and innovation. This is possible due to the rapid evolution of technology, shorter product life cycle. Corruption is also one of the most important challenges affecting the development prospects of countries at the national and international levels. Corruption is affected by several factors, such as innovation, population, volume of government activities, human development index, degree of commercial openness, rent of natural resources, etc. Also, corruption is influenced by international conditions and spillover from other regions, especially neighboring countries. Countries with common borders have similar characteristics and lead to similar behaviors that can affect corruption. The purpose of the current research is to investigate the factors affecting corruption with an emphasis on innovation for the country of Iran and six neighboring countries with a land border with Iran, using a dynamic spatial panel approach in the time period of 2008-2022. The results show that innovation and human development index have a negative effect on corruption in Iran and neighboring countries in the short and long term. The variable of the ratio of government expenditure to GDP in the short and long term has a positive relationship with corruption. The variables of corruption interval, spatial interval of corruption, population and rent of natural resources have a positive effect on corruption in Iran and neighboring countries, but they have different short-term and long-term effects on corruption.

Keywords

Main Subjects

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