The Impact of Corruption on Economic Growth in Tunisia: An Application of ARDL Approach

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Author(s): Hayet Kaddachi (Faculty of Economics and Management, University of Sfax, Tunisia)and Naceur Benzina (Faculty of Economics and Management, University of Sfax, Tunisia)
Copyright: 2024
Pages: 25
Source title: Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization
Source Author(s)/Editor(s): Amandeep Singh (Chitkara Business School, Chitkara University, India), Sanjay Taneja (Graphic Era University (Deemed), India)and Pawan Kumar (Chandigarh University, India)
DOI: 10.4018/979-8-3693-1746-4.ch007

Keywords: Accounting and Finance / Algorithms / Business Science Reference / Computer Science & IT

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Abstract

This chapter aims to examine the impact of corruption on economic growth in Tunisia between the years 1998 and 2018.Using time series data to obtain relationships of an empirical nature. 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.

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The Impact of Corruption on Economic Growth in Tunisia: An Application of ARDL Approach

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