Analisis Pembiayaan Sektor Pertanian pada BPRS dengan Perspektif Kesejahteraan dan Risiko
DOI:
https://doi.org/10.51805/jmbk.v3i2.69Keywords:
farmer welfare, financing risk, financingAbstract
This study aims to assess the effect of bias regret and overconfidence on cryptocurrency This study aims to examine the effect of two aspects that form the basis for the distribution of financing carried out by BPRS for the agricultural sector, namely farmer welfare and financing risk. This study uses a sample of 163 BPRS incorporated in the report published by the OJK with monthly data for the period 2016 to 2020. This study uses the PLS-SEM analysis method with a quantitative approach. The results of this study indicate that the welfare of farmers has a significant influence on the financing of the agricultural sector. Meanwhile, financing risk does not have a significant effect on financing the agricultural sector.
References
Adila, W. N., Regasari, R., & Nurwasito, H. (2018). Sistem Pendukung Keputusan (SPK) Pemilihan Tanaman Pangan Pada Suatu Lahan Berdasarkan Kondisi Tanah Dengan Metode ELECTRE dan TOPSIS. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer (JPTIIK) Universitas Brawijaya, 2(5), 2548–2964.
Anwar, M., Nidar, S. R., Komara, R., & Layyinaturrobaniyah, L. (2020). Rural bank efficiency and loans for micro and small businesses: evidence from West Java Indonesia. International Journal of Emerging Markets, 15(3), 587–610. https://doi.org/10.1108/IJOEM-11-2017-0494
Aziz, M. R. A., & Yusoff, M. M. (2014). Identifying risks of financing for agro Projects in Islamic banks. International Journal of Technical Research and Applications, 2(4), 29–33.
Badan Pusat Statistik. (2021). Konsep Nilai Tukar Petani.
Damanhur, Albra, W., Syamni, G., & Habibie, M. (2018). What is the determinant of non-performing financing in branch Sharia regional bank in Indonesia. Emerald Reach Proceedings Series, 1, 265–271. https://doi.org/10.1108/978-1-78756-793-1-00081
Fattach, A. (2018). Distribusi Pendapatan Kesejahteraan Menurut Konsep Ekonomi Islam. Jurnal Penelitian Ilmu Manajemen, 3(2), 728–746.
Feryanto, F. (2017). PEMBIAYAAN PERTANIAN DAN UPAYA MENINGKATKAN KESEJAHTERAAN PETANI: ANALISA DATA MAKRO. Agricore: Jurnal Agribisnis Dan Sosial Ekonomi Pertanian Unpad, 2(2).
Garson, G. D. (2016). Partial least squares. Regression and structural equation models. Statistical Publishing Associates.
Hamonangan. (2020). Analisis Penerapan Prinsip 5C Dalam Penyaluran Pembiayaan Pada Bank Muamalat KCU Padangsidempuan. Jurnal Ilmiah MEA (Manajemen, Ekonomi, & Akuntansi), 4(2), 454–466.
Kementerian Pertanian Indonesia. (2018). Sektor Pertanian Masih Menjadi Kekuatan Ekonomi di Indonesia.
Keumala, C. M., & Zainuddin, Z. (2018). Indikator kesejahteraan petani melalui nilai tukar petani (NTP) dan pembiayaan syariah sebagai solusi. Economica: Jurnal Ekonomi Islam, 9(1), 129–149.
Lailiyah, A. (2014). Urgensi Analisa 5C Pada Pemberian Kredit Perbankan Untuk Meminimalisir Resiko. Yuridika, 29(2), 217–232. https://doi.org/10.20473/ydk.v29i2.368
Larasati, P. P., Fitriyah, S., Widiastuti, T., & Berkah, D. (2017). Pembiayaan syariah di sektor pertanian: Solusi permasalahan riba dalam perspektif sosial dan ekonomi. Jurnal Ekonomi Dan Bisnis Islam| Journal of Economics and Business Islamic, 3(2), 139–157.
Mizan, M. S. Y. H. (2014). Pengaruh Pendapatan Nasabah Terhadap Pengajuan Pembiayaan Pada Bank Pembiayaan Rakyat Syariah Rahmah Hijrah Agung Lhokseumaw. Jurnal Ekonomi Dan Bisnis, 12(2), diakses, September, 20, 2021.
Nugraha, D. P., Karlina, S., & Ali, H. (2019). Analisis Pengaruh Simpanan, Tingkat Bagi Hasil, Dan Non Performing Financing (Npf) Terhadap Pembiayaan Pada Perbankan Syariah. SEGMEN-Jurnal Manajemen Dan Bisnis, 15(1).
Putri, A., & Wirman, W. (2021). Pengaruh CAR, ROA dan NPF Terhadap Pembiayaan Murabahah. COMPETITIVE Jurnal Akuntansi Dan Keuangan, 5(2), 83. https://doi.org/10.31000/competitive.v5i2.4237
Rahman, F. K. K., Tareq, M. A., Yunanda, R. A., & Mahdzir, A. (2017). Maqasid Al-Shari’ah-based performance measurement for Halal industry. Humanomics, 33(3), 357–370. https://doi.org/https://doi.org/10.1108/H-03-2017-0054
Sugiyono. (2017). Metode Penelitian Kuantitatif Kualitatif dan R & D. Alfabeta.
Widarjono, A., & Rudatin, A. (2021). The Determinants of Indonesian Islamic Rural Banks’ Non-Performing Financing. Global Review of Islamic Economics and Business, 9(1), 029. https://doi.org/10.14421/grieb.2021.091-03
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