A survey dataset on the perception of public-sector corruption in Mauritius and a framework analysis of corruption court cases

• Main Authors: Sheilendra Peerthum, Rajendra Parsad Gunputh, Takesh Luckho
• Format: Article
• Language: English
• Published: Elsevier 2020-10-01
• Series: Data in Brief
• Subjects: Content analysis; Corruption; Independent commission against corruption (icac); Mauritius; Prevention of Corruption Act 2002
• Online Access: http://www.sciencedirect.com/science/article/pii/S2352340920309513

This data article provides research data on the perception of public-sector corruption in Mauritius, captured using a survey questionnaire as well as a thematic framework for the analysis of corruption court cases prosecuted by the national anti-corruption body, namely, the Independent Commission against Corruption (ICAC). A sequential mixed methods design was adopted. First, a quantitative approach was used, whereby a questionnaire was developed and administered on 600 persons to gauge public opinion on the perceived seriousness of the phenomenon of public-sector corruption in the country while at the same time recording citizens’ perceived effectiveness of the ICAC in its fight against public corruption in Mauritius. Second, to cross-validate the quantitative findings on the perceived effectiveness of the ICAC in fulfilling its mandate as an anti-corruption agency, a content analysis of court judgments prosecuted by ICAC from 2002 to 2018, was conducted to find out whether or not the respondents’ perceptions of the prosecutorial efficacy of the ICAC was justified. The questionnaire, the raw dataset as well as the analysis of court judgments can be downloaded from the Mendeley Data repository (https://data.mendeley.com/datasets/h8k5ghvhgh/1). The data may be reused for similar research in other parts of the world.The research findings have been published in The International Journal of Law, Crime, and Justice.