Expectations of individuals regarding the Ijara Forward contract: the case of healthcare financing

  • Received November 15, 2021;
    Accepted December 16, 2021;
    Published January 4, 2022
  • Author(s)
  • DOI
    http://dx.doi.org/10.21511/imfi.19(1).2022.01
  • Article Info
    Volume 19 2022, Issue #1, pp. 1-13
  • TO CITE АНОТАЦІЯ
  • Cited by
    2 articles
  • 926 Views
  • 467 Downloads

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

The health sector in Morocco is marked by many achievements, but also by large deficits, especially in terms of healthcare expenditures borne by individuals. With the introduction of Islamic banks (called participative banks) in Morocco, the study aims to determine the extent to which Ijara Forward, as an Islamic financial contract, is adapted to the expectations of Moroccans to finance their health expenditures.
The study sample consisted of 200 individuals. The univariate and bivariate analyses are used to identify possible relationships between the study variables. In addition, this paper proposes a model that will predict the demand for Ijara Forward based on the logistic regression method.
The results reveal that the financial characteristics of the Ijara Forward contract are in line with the financial expectations of Moroccan individuals. Furthermore, the cost of health services is the main factor that makes healthcare inaccessible. This factor influences the demand of Ijara Forward. In addition, this paper reveals that religious beliefs stimulate Ijara Forward’s demand and encourages people to pay a higher price for Ijara Forward.

view full abstract hide full abstract
    • Figure 1. The most used formula for financing health expenditure through Ijara Forward
    • Figure 2. Research model
    • Figure 3. Preliminary data
    • Figure 4. ROC curve
    • Figure 5. Final model
    • Table 1. Summary of the literature review
    • Table 2. Hypothesis verification
    • Table 3. Variables included in the binary logistic regression analysis
    • Table 4. Coefficients of the final logistic regression model
    • Table 5. Overall significance test and evaluation of the regression
    • Conceptualization
      Mustapha Ziky, Mohamed Tajeddine Elghabri
    • Data curation
      Mustapha Ziky, Mohamed Tajeddine Elghabri
    • Formal Analysis
      Mustapha Ziky, Mohamed Tajeddine Elghabri
    • Investigation
      Mustapha Ziky, Mohamed Tajeddine Elghabri
    • Methodology
      Mustapha Ziky, Mohamed Tajeddine Elghabri
    • Project administration
      Mustapha Ziky, Mohamed Tajeddine Elghabri
    • Resources
      Mustapha Ziky, Mohamed Tajeddine Elghabri
    • Software
      Mustapha Ziky, Mohamed Tajeddine Elghabri
    • Supervision
      Mustapha Ziky, Mohamed Tajeddine Elghabri
    • Validation
      Mustapha Ziky, Mohamed Tajeddine Elghabri
    • Visualization
      Mustapha Ziky, Mohamed Tajeddine Elghabri
    • Writing – original draft
      Mustapha Ziky, Mohamed Tajeddine Elghabri
    • Writing – review & editing
      Mustapha Ziky, Mohamed Tajeddine Elghabri