Impact of Corruption on Economic Development: Case of Tunisia

Zouaoui, Azzouz; Qudah, Anas Al; Aoun, C. El; Arab, Mounira Ben; Eleuch, Hichem

doi:10.18576/amis/120221

Cited by 5 publications

(2 citation statements)

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“…The economic impact of corruption has been a controversial subject for a long time. For example, it has been argued that poor regulation, corruption and weak institutions are detrimental to economic growth and, therefore, development, per se Zouaoui et al (2018), Rose- Ackerman and Palifka (2016), Treisman (2000), Tanzi (1998) and Mauro (1995). The emphasis is these studies is that corruption and poor regulations might discourage private and foreign investment by raising the cost of doing business, or by injecting uncertainty into investment environments.…”

Section: Research Background and Literature Reviewmentioning

confidence: 99%

Does corruption adversely affect economic growth in Tunisia? ARDL approach

Qudah

Zouaoui

AboElsoud

2020

JMLC

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Purpose This study aims to better understand the phenomenon of corruption in Tunisia in relation to its impact on economic development. The period of study is 1995 to 2014. The auto-regressive distributed lag (ARDL) model is adopted to examine the existence of a long-term relationship between the above-mentioned variables and also the direct and indirect consequences of corruption on economic development in Tunisia. Design/methodology/approach The study uses a modern econometric technique to estimating the long-term relationship (e.g. the co-integration) between corruption and economic development; using this technique also allows us to investigate the impact of corruption on economic growth. Findings The empirical results show that corruption has a negative effect on per capita gross domestic product (GDP) in Tunisia for the period under review. This effect is described as a direct effect of corruption in the long term; specifically, declines are observed in per capita GDP, over the long run, by almost 1 per cent, following a 1 per cent increase in the level of corruption. The results also show that corruption has indirect effects via transmission channels, such as investment in physical capital, which is positively significant in the presence of corruption. The same observation is made at the level of government expenditure during the previous year, while for those of the current year, the coefficient becomes negative but not significant. With respect to human capital, the impact of corruption on education expenditures is insignificant. Originality/value The paper begins with an overview of previous literature in this area. Given the nature of corruption and the differences in the meanings attributed to it, from one country to another and from one culture to another, the paper moves on to study the impact of corruption in Tunisia as a case study for one country with one socio-cultural environment. The authors then propose several methods and possible solutions, which could be implemented to deal with this problem.

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Section: Research Background and Literature Reviewmentioning

confidence: 99%

Does corruption adversely affect economic growth in Tunisia? ARDL approach

Qudah

Zouaoui

AboElsoud

2020

JMLC

View full text Add to dashboard Cite

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“…Es difícil encontrar información real y objetiva sobre corrupción (Reinikka & Svensson, 2005), esa información de hecho depende del sistema legal en lo que concierne a control, seguimiento procesamiento e incluso castigo de la corrupción (Lambsdorff & Cornelius, 2000). Los datos que se dicen objetivos normalmente se desprenden de estudios anti-corrupción (Badawi & AlQudah, 2014;Zouaoui et al, 2017). Un problema más complejo de resolver para hablar sobre percepciones es la definición misma que cada individuo pueda tener sobre corrupción.…”

Section: Revisión De Literatura Y Marco De Estudiounclassified

Probabilidad para el pago de soborno: aproximación multi-país para América Latina y el Caribe

Lombana¹,

Cabeza²

2022

I+D Revista de Investigaciones

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El soborno como temática se ha centrado en análisis de causalidad e impacto y en muchos de los casos supeditado como una tipología más de la corrupción. A partir de los microdatos del Barómetro de Corrupción Global de Transparency International se busca determinar para un conjunto de países seleccionados de América Latina y el Caribe, las variables dependientes para predecir la probabilidad de pagar soborno al tener contacto con las personas, empresas o entidades que le prestan servicio. Se utilizan técnicas de estadística inferencial, como la regresión logística aplicando el método de máxima verosimilitud y proceso iterativo hasta encontrar el mejor modelo. De una encuesta inicial con 117 variables, resultaron 11 que explican mejor la probabilidad de pagar un soborno. Variables como el grado de escolaridad y la influencia de funcionarios y políticos afectan la disposición de las personas a pagar un soborno. Tópicos significativos de este estudio como la retaliación para favorecer votaciones y los favores sexuales para recibir beneficios, aunque incipientes en su estudio, valen su profundización investigativa. Este trabajo sirve de base para motivar estudios con microdatos que ayuden a entender mejor y de manera específica las tipologías de corrupción a través de modelos que predicen comportamientos del ciudadano del común.

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