다 국가 패널자료를 이용한 부패와 농업소득과의 관계분석

An Analysis of the Relationship between Corruption and Agricultural Income using a Cross-Country Panel Data

This paper analyzes the relationship between corruption and agricultural income using data from 113 countries between 2005 and 2012. Using two measures of corruption, the Corruptions Perception Index (CPI) reported annually by Transparency International (TI), and the Control of Corruption Index (CCI) produced annually by the World Bank, we find a negative impact of corruption on agricultural income in general. However, the impacts are different depending on the income level of countries. In high-income countries, we show that there are statistically significant and bigger correlations between corruption and agricultural income. The empirical result suggests that a one-unit increase in CPI increases the agricultural income by about 18.9%, while a one-unit increase in CCI increases the agricultural income by about 33.9%. If South Korea has the same level of corruption compared with Japan, the agricultural income in South Korea would increase by 34% (based on CPI) and 39% (based on CCI) respectively.