The relationship between macroeconomic factors and non-performing loans (NPLs) in Lao PDR: An application of the Vector Error Correction Model

Authors

Chintana Khouangvichit
University of Szeged

Synopsis

The role of the banking sector in driving economic development cannot be understated. Its stability is a critical factor that sets the pace for economic progress. Among the various indicators of financial stability, non-performing loans (NPLs) held by banks hold particular significance as they reflect asset quality, credit risk, and the efficient allocation of resources to productive sectors. NPLs have indeed been a subject of concern for the banking sector, with their prominence intensifying, especially after the 2008 financial crisis. This study investigates the relationship between Macroeconomic factors and non-performing loans in Lao PDR. The secondary data of four variables, namely, Interest Lending rate, CPI-Inflation, Nominal exchange rate, and Money supply from the first quarter of 2012 to the last quarter of 2021 have been collected in order to analyze the long-term relationship among economic factors and estimate the short-term adjustment toward the long-term equilibrium level. The Vector Error Correction Model (VECM) is applied to measure short-term adjustment toward the long-term equilibrium level. Based on the estimation results of the Vector Error Correction Model, two variables have a positive and significant effect on long-term non-performing loans, namely, lending interest rate, and money supply, and a significant inverse relationship with inflation, and exchange rate. Meanwhile, in the short term, only lending interest rates have a significant effect on non-performing loans.

 

Keywords: Non-performing loans, macroeconomic, Johansen Cointegration, Vector Error Correction Model

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Published

March 1, 2024

How to Cite

Khouangvichit, C. (2024). The relationship between macroeconomic factors and non-performing loans (NPLs) in Lao PDR: An application of the Vector Error Correction Model. In M. Sávai (Ed.), & W. Obwori Alwago, S. Prónay, R. Reicher, C. Rurong, Ágnes Siklósi, V. Siklósi, K. A. Sisa, D. Simon, Z. Széles, B. Tóth-Bozó, T. Ujházi, A. Veress, T. Pintér, Ágnes Maksimovic, S. Balla, Éva S. Bundság, E. Denich, B. Dorjnyambuu, S. Huszár, … Z. Majó-Petri, Green and Digital Transitions: Global Insights into Sustainable Solutions (pp. 154-173). University of Szeged Faculty of Economics and Business Administration. https://doi.org/10.14232/gtk.gdtgiss.2024.10