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Relation between Sectoral Distribution of Commercial Bank Credit and Economic Growth in Sri Lanka

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dc.contributor.author Muthusamy, V
dc.contributor.author Dewasiri, N. J.
dc.contributor.author Weerakoon, Y. K. B.
dc.contributor.author Amarasinghe, A. A. M. D.
dc.date.accessioned 2022-03-10T05:20:58Z
dc.date.available 2022-03-10T05:20:58Z
dc.date.issued 2018
dc.identifier.citation Muthusamy, V., et al.(2018). Relation between Sectoral Distribution of Commercial Bank Credit and Economic Growth in Sri Lanka, VJM 2018, Vol. 04(2) 51-69 en_US
dc.identifier.uri http://dr.lib.sjp.ac.lk/handle/123456789/10505
dc.description.abstract This study investigates the impact of sectoral distribution of commercial bank credit on economic growth in Sri Lanka based on data from 2005 to 2017. The Auto-regressive Distributed Lag (ARDL) model is used to investigate short and long run impact of sectoral distribution of commercial bank credit on Gross Domestic Product (GDP). The findings of the ARDL Error Correction model indicate that the commercial bank sectoral credit distribution is significantly explaining the short run economic growth. Moreover, ARDL long run form and bounds test shows that there is a long run relation between the variables. The industrial sector has a long run positive relationship with GDP while the other sectors are insignificant in explaining long run economic growth. According to the results, the government can motivate banks to distribute credit facilities to the industry sector to boost GDP in the long-run. This is the first study that discusses the sectoral distribution of commercial bank credit on economic growth of Sri Lanka as per the best of the authors‟ knowledge. en_US
dc.language.iso en en_US
dc.publisher Faculty of Management Studies and Commerce, University of Sri Jayewardenepura en_US
dc.subject Commercial bank, Credit, Economic growth, Gross Domestic Product en_US
dc.title Relation between Sectoral Distribution of Commercial Bank Credit and Economic Growth in Sri Lanka en_US
dc.type Article en_US
dc.identifier.doi https://doi.org/10.31357/vjm.v4i2.3628 en_US


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