Factors affecting non-performing finance in Islamic banking in Indonesia’s agricultural sector

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This study aims to analyze the factors affecting Islamic banks’ non-performing finance in financing Indonesia’s agricultural sector. It uses secondary data from the annual financial statements of 12 Islamic commercial banks from 2014–2022 obtained from the Indonesian Financial Services Authority. The analysis used the partial least squares-structural equation modeling method to test the relationship between independent variables: murabahah financing, mudharabah, number of bank offices, and profit-sharing non-profit investment, with non-performing finance as the dependent variable. The financing-to-deposit ratio is a mediation variable that helps understand indirect influence. The results show that financing with murabahah and mudharabah contracts does not directly influence non-performing finance but becomes significant when mediated by the financing-to-deposit ratio. In contrast, the number of bank offices and profit-sharing non-profit investments did not significantly influence non-performing finance, either directly or through financing to deposit ratio. These findings indicate that the financing-to-deposit ratio plays a key role in managing the financing risk of Islamic banks in the agricultural sector, so an optimal liquidity management strategy is essential for maintaining financial stability. The study’s implications show that Islamic banks need to manage the financing-to-deposit ratio more strategically to reduce the risk of non-performing financing. In addition, although murabahah and mudharabah financing can be the main instruments in supporting the agricultural sector, banks need to increase risk supervision so that non-performing finance remains under control. This study contributes to the Islamic banking literature by providing new insights into the role of financing-to-deposit ratio mediation in managing financing risk in the agricultural sector.

Acknowledgment
The authors would like to thank Akhmad Kusuma Wardhana from the Faculty of Environmental Management at Prince of Songkla University for helping analyze using the software and Kautsar Riza Salman from the Faculty of Economics and Business at Hayam Wuruk University for helping review so that the writing becomes better.

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    • Figure 1. Model variables of the study
    • Figure 2. Outer model result of analysis
    • Table 1. Definition of variables
    • Table 2. Result of descriptive analysis
    • Table 3. Direct effect between variables
    • Table 4. Hypothesis testing results
    • Table A1. List of Sharia commercial banks in Indonesia as of 2022 and their characteristics
    • Conceptualization
      Niswatin, Ivan Rahmat Santoso
    • Data curation
      Niswatin
    • Formal Analysis
      Niswatin, Ivan Rahmat Santoso
    • Funding acquisition
      Niswatin
    • Investigation
      Niswatin, Ivan Rahmat Santoso
    • Methodology
      Niswatin, Ivan Rahmat Santoso
    • Project administration
      Niswatin, Ivan Rahmat Santoso
    • Resources
      Niswatin
    • Software
      Niswatin, Ivan Rahmat Santoso
    • Supervision
      Niswatin
    • Validation
      Niswatin
    • Visualization
      Niswatin, Ivan Rahmat Santoso
    • Writing – original draft
      Niswatin, Ivan Rahmat Santoso
    • Writing – review & editing
      Niswatin, Ivan Rahmat Santoso