The purpose of this study is to measure the impact of bank credit on economic growth in Vietnam. The data used in this study are annual frequency time series data collected from 1992 to 2021. Using an autoregressive distributed lag (ARDL) model, the findings show that bank credit is positively related to short-run and long-run economic growth in Vietnam. Specifically, if bank credit growth increases by 1.0%, GDP will grow by 0.021% in the short term. Similarly, if bank credit growth increases by 1.0%, GDP will grow by 0.023% in the long run. In addition, the error correction model (ECM) estimation results show that the shocks that caused short-run imbalances among variables in the study model were revised downward by 81.7% in the following year to achieve long-run equilibrium.
Tạp chí: 6th International Conference on Contemporary Issues in Economics, Management and Business, National Economics University; 23-24/12/2023, Ha Noi-Viet Nam
Tạp chí: National Conference on GIS Application 2022: GIS and Remote Sensing Applications for Environment and Resource Management 11/11/2022 - 12/11/2022 Ho Chi Minh City, Vietnam
Tạp chí khoa học Trường Đại học Cần Thơ
Lầu 4, Nhà Điều Hành, Khu II, đường 3/2, P. Xuân Khánh, Q. Ninh Kiều, TP. Cần Thơ
Điện thoại: (0292) 3 872 157; Email: tapchidhct@ctu.edu.vn
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