Analysis of the intention to use loan facilities from formal financial institutions for large chili farmers through the theory of planned behavior approach
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DOIhttp://dx.doi.org/10.21511/imfi.20(2).2023.12
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Article InfoVolume 20 2023, Issue #2, pp. 137-148
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Creative Commons Attribution 4.0 International License
This study analyzes and examines the factors influencing the intention to use loan facilities from formal financial institutions. This study was carried out quantitatively using the Structural Equation Modeling (SEM) method with the population of large chili farmers in 19 districts in Jember Regency as the region with the best large chili productivity in Indonesia. The results obtained from 116 respondents indicate that the construct of situational temptation does not affect subjective norms. In addition, formal financial institution financing positively affects attitudes toward behavior and subjective norm on intention to use loan facilities, but not on the perceived behavior. Meanwhile, the intention was positively influenced by attitude, subjective norm, and perceived behavior control. The factor with the most significant effect on the intention is perceived behavior control (t-statistics = 4.940). This shows that control of perceived behavior towards intention to use loan facilities from formal financial institutions has the most significant influence among other variables.
Acknowledgment
The authors would like to thank the Directorate of Research, Technology, and Community Service from the Ministry of Education, Culture, Research, and Technology of the Republic of Indonesia, which provided research grants, namely Higher Education Excellence Basic Research (Penelitian Dasar Unggulan Perguruan Tinggi/PDUPT) in 2022-2024.
- Keywords
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JEL Classification (Paper profile tab)E22, G21, Q14
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References54
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Tables5
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Figures3
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- Figure 1. Hypotheses equation model
- Figure 2. Structural model
- Figure 3. Outer loading results after eliminating several indicators
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- Table 1. Indicators with loading factors < 0.5 (invalid)
- Table 2. AVE (average variance extracted)
- Table 3. Composite reliability
- Table 4. R-square
- Table 5. Hypotheses testing results
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