DETERMINANTS OF ADOPTING ISLAMIC INSURANCE IN JIGAWA STATE: A LOGISTIC REGRESSION APPROACH

The study examined the influential factors for the adoption of Islamic insurance in Jigawa state, Nigeria using logistic approach. The study collected survey data from household heads using Taro Yammane (1976) statistical sampling formula to distribute 400 questionnaires across the two local government areas in the state of which 87% was fully returned. A simple random sampling technique was used in distributing the self-administered questionnaires. Descriptive statistics and logistic regression were used for the data analysis. The descriptive analysis was used for the socioeconomic characteristics of the respondents and the prospects of adopting takaful. Cronbach Alpha was used for the reliability test of the questionnaire after a pilot test and the result shows that the instrument was reliable for the model employed in the study. The result from the logistic regression shows Sharia compliance, Social influence, and Relative advantage are statistically significant as the factors that influence the adoption of takaful while awareness is statistically not significant. It is recommended that Islamic insurance companies open branches in Dutse and Hadejia local government areas since the result shows it is prospective. DOI: 10.24191/JIPSF/v6n22024_47-57

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Journal
Journal of Islamic Philanthropy and Social Finance
Published
2024-10-04
DOI
https://doi.org/10.24191/jipsf/v6n22024_47-57
Primary Topic
Agriculture, Water, and Health
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article
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article

DETERMINANTS OF ADOPTING ISLAMIC INSURANCE IN JIGAWA STATE: A LOGISTIC REGRESSION APPROACH

Gambo Babandi Gumel, Lawal Abubakar, Usman Sa’ad
Journal of Islamic Philanthropy and Social Finance
Agriculture, Water, and Health
article

DETERMINANTS OF ADOPTING ISLAMIC INSURANCE IN JIGAWA STATE: A LOGISTIC REGRESSION APPROACH

Gambo Babandi Gumel, Lawal Abubakar, Usman Sa’ad
article en

Abstract

The study examined the influential factors for the adoption of Islamic insurance in Jigawa state, Nigeria using logistic approach. The study collected survey data from household heads using Taro Yammane (1976) statistical sampling formula to distribute 400 questionnaires across the two local government areas in the state of which 87% was fully returned. A simple random sampling technique was used in distributing the self-administered questionnaires. Descriptive statistics and logistic regression were used for the data analysis. The descriptive analysis was used for the socioeconomic characteristics of the respondents and the prospects of adopting takaful. Cronbach Alpha was used for the reliability test of the questionnaire after a pilot test and the result shows that the instrument was reliable for the model employed in the study. The result from the logistic regression shows Sharia compliance, Social influence, and Relative advantage are statistically significant as the factors that influence the adoption of takaful while awareness is statistically not significant. It is recommended that Islamic insurance companies open branches in Dutse and Hadejia local government areas since the result shows it is prospective. DOI: 10.24191/JIPSF/v6n22024_47-57

Journal of Islamic Philanthropy and Social FinanceVol. 6(2)
Federal Institute for Education Development (RU)
Openalex Percentile: Top 72%
Agriculture, Water, and Health
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DETERMINANTS OF ADOPTING ISLAMIC INSURANCE IN JIGAWA STATE: A LOGISTIC REGRESSION APPROACH — Gambo Babandi Gumel, Lawal Abubakar, et al. · Journal of Islamic Philanthropy and Social Finance (2024) | TGRS Research Map | TGRS