The impact of corruption on economic growth in Tunisia: application of ARDL approach

Hayet Kaddachi and Naceur Ben Zina

MPRA Paper from University Library of Munich, Germany

Abstract: This study investigates corruption's impact on economic growth in Tunisia. Using time series data to obtain relationships of an empirical nature. The World Development Indicators 2019 helps to gather data from 1998 to 2018. The processing of time series data starts with checking individual series, and ADF and Zivot and Andrews tests help identify variables' stationarity. The mixed order of integration levels recommends using ARDL to obtain the long-run relationships between the variables. The estimation results confirm that corruption demoralizes and discourages private investment in the short and long run. In both the long and short run, the indirect impact of corruption is negative and insignificant for public spending. However, the interaction between human capital and the corruption perception index is positive and insignificant in the short run but negative and significant in the long run.

Keywords: corruption; economic growth; Tunisia, time series, ARDL approach (search for similar items in EconPapers)
JEL-codes: A13 K29 O50 (search for similar items in EconPapers)
Date: 2022-10, Revised 2022-11
New Economics Papers: this item is included in nep-ara
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:114869

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