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All Journal Jurnal Gaussian Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan Jambura Journal of Mathematics Pontianak Nutrition Journal (PNJ) JIIP (Jurnal Ilmiah Ilmu Pendidikan) JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Jurnal Ekonomi Syariah Pelita Bangsa Journal of Communication Studies Research in the Mathematical and Natural Sciences Mutanaqishah: Journal of Islamic Banking Jeksyah Communication and Information Journal Journal of Principles Management and Bussines Computer & Science Industrial Engineering Journal
Ningsih, Setia
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Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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Journal : Jeksyah

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Contribution of Islamic Banking Towards Economic Growth in Indonesia With Data Panel Regression Approach Dukalang, Hendra H.; Ningsih, Setia
Jeksyah: Islamic Economics Journal Vol. 4 No. 02 (2024): September 2024 Edition
Publisher : Fakultas Ekonomi dan Bisnis Islam _ IAIN Sultan Amai Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54045/jeksyah.v4i02.1804

Abstract

This study uses a panel data regression approach to analyze the contribution of Islamic banking to economic growth. The variables in this study consist of one dependent variable and three independent variables. The dependent variable is Economic Growth Income. while the independent variable consists of 3 variables, namely: Total assets, third party funds and Islamic financing. The population and samples used in this study were all provinces in Indonesia in 2014-2020. In this study, the panel data regression models used are the Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). Selection of panel data regression estimation models using tests, namely the Chow Test and the Hausman Test. Based on the statistical methods used, the best model is obtained with the random effect model. The Fixed effect model above has an R-squared of 0.4742 or in other words the predictor variable is able to explain 47.42% of the response variable.
Co-Authors Agus Setyawan Akolo, Ingka Rizkyani Alamri, Fahima anggitasarihasibuan, putri Anita Dewi, Anita Arlina Arlina, Arlina Armayani Arsal Djihad Wungguli Dukalang, Hendra Ellbert Hutabri, Ellbert Farida Nur Isnaeni Fehbrina, Novia Hendra H. Dukalang Ismail Djakaria K. Hasan, Isran Lili Puspita Sari Madonsa, Muhammad Rifai Mahmud, Sri Lestari Muwazif , Shofwan Agil Neliwati Puspitasari, Dyah Intan Rahman, Supandi Saif, Muhammad Salmun K. Nasib Setiyaningrum, Zulia Sipahutar, Nurhasanah Teguh Ansori Yetty, Fitri Zulham, Zulham