The Interactive Effects of Corruption and Institutional Quality on Economic Performance
International Journal of Management, Economics and Social Sciences
2022, Vol. 11(2/3), pp. 120 – 139.
ISSN 2304 – 1366
https://www.ijmess.com
DOI: 10.32327/IJMESS/11.2-3.2022.6

 

The Interactive Effects of Corruption and Institutional Quality on Economic Performance

 

Azuka Elvis Ozegbe1
Ikechukwu Kelikume2
1Dept. of Economics, Lagos State University, Lagos, Nigeria
2Lagos Business School, Lagos, Nigeria

 

ABSTRACT

This study was motivated by the quest to investigate how the interaction between corruption and institutional quality affects Nigeria's economic performance by testing the validity of the “sand the wheels” and “grease the wheels” corruption hypothesis through the Barro-type endogenous growth model from the Nigerian perspective which has been ignored by extant studies. Annual time series data obtained from the World Development Indicators (WDI), the Transparency International(TI),and the Central Bank of Nigeria (CBN) from 1970 to 2020 were used to conduct the study's analysis. The study employed the Autoregressive Distributed Lag (ARDL) approach to determine the interactive effects of corruption and institutional quality on economic performance. The study revealed that corruption-institutional quality interaction exerts a negative and significant impact on economic performance. This supports the assertion that institutional quality in Nigeria is feeble and overwhelmed by the magnitude of corruption and the level of individual influences. The trajectory of Nigeria's economic performance is impeded by high level of corruption and weak institutional quality. Therefore, it is imperative for policy interventions to focus on tackling the incidence of corruption, improving institutional qualities which would have ripple positive effects on Nigeria's economic performance.


Keywords: Corruption, institutional quality, economic performance, endogenous growth model, Autoregressive Distributed Lag (ARDL)
JEL: C10, H10, K10

 



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