2017
DOI: 10.3126/ejon.v40i1-4.35946
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Nexus between Public Expenditure and Economic Growth in Nepal

Abstract: The article attempts to identify the relationship between public expenditure and economic growth in Nepal. Public expenditure is a fundamental element for the economic growth. On employing, ARDL bound test on data set for the period of 1975-2016, it is found that there in a long-run relationship between the public expenditure and economic growth. The bound test and error correction term clearly specify that there exists a long run relationship between government expenditure and economic growth in Nepalese econ… Show more

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Cited by 10 publications
(10 citation statements)
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“…Using the ARDL approach to cointegration has several benefits in comparison to other cointegration methods such as Engle-Granger (1987), Johansen (1988, and Johansen and Julius (1990) procedures (Shah and Bhusal, 2017). This technique is also considered a statistically more significant approach to ascertain the cointegrating relation in a small sample size too.…”
Section: Ardl Approach To Cointegrationmentioning
confidence: 99%
“…Using the ARDL approach to cointegration has several benefits in comparison to other cointegration methods such as Engle-Granger (1987), Johansen (1988, and Johansen and Julius (1990) procedures (Shah and Bhusal, 2017). This technique is also considered a statistically more significant approach to ascertain the cointegrating relation in a small sample size too.…”
Section: Ardl Approach To Cointegrationmentioning
confidence: 99%
“…This, in turn, will decrease economic growth (Ejigayehu, 2013). Shah and Bhusal (2017) used ARDL bound test to identify the relationship between public growth and economic growth in Nepal from 1975 to 2016. The bound test and error correction terms clearly show a long-run relationship between government expenditure and economic development in the Nepalese economy.…”
Section: Published Bymentioning
confidence: 99%
“…One of the extensively used and most appropriate approaches to examine the causal relationship between the underlying variables regardless of whether the variables are integrated of order zero (I 0 ), one (I 1 ), or mutually integrated is the ARDL model developed by Pesaran and Shin (1999) and Pesaran et al (2001). This model has several benefits in comparison to other cointegration methods such as Engle-Granger (1987), Johansen (1988, and Johansen and Julius (1990) procedures (Shah & Bhusal, 2017). This technique is also considered a statistically more significant approach to ascertain the cointegrating relation in a small sample size too.…”
Section: Econometric Analysismentioning
confidence: 99%