Purpose
The purpose of this paper is to examine the non-linear impact of defence spending on economic growth for the USA, the UK and Russia by using quarterly frequency from 1992 to 2014.
Design/methodology/approach
The unit root property is tested by ADF and PP unit root test. Further, BDS test is applied to test the linear independence. To verify the results of BDS test, we apply short and long-run symmetry test. The cointegration non-linear relationship is examined by NARDL approach. Further, Multipliers predict the speed of adjustments by considering the nonlinearity.
Findings
The short and long-run symmetry test confirms the existence of asymmetry in all countries. Further, asymmetric cointegration is confirmed through Wald statistics of Pesaran and Banerjee for all countries. The long-run asymmetric coefficient predicts negative and significant impact of defence spending on economic growth for the USA and the UK, but, these impacts were positive and significant in the case of Russia. The multiplier effect of defence spending on economic growth confirms the findings of NARDL model.
Originality/value
This study contributes in existing literature by applying newly developed non-linear ARDL approach, including a Wald test for long and short-run symmetry, asymmetric cointegration and asymmetric long run parameters in case of the USA, the UK and Russia.
This study investigates the impact of financial development on industrial production from 1972 to 2014 in Pakistan. We use the Bayer and Hanck (2013, Journal of Time Series Analysis 34(1), 83–95,) combined cointegration technique to predict the long-run relationship between financial development, saving and industrial production. The results predict three cointegration vectors which confirm the existence of a long-run relationship between underlying variables. The empirical evidence shows a positive impact of financial development and savings on industrial growth in the long run as well as in the short run. The result of the VECM (Vector Error Correction Model) Granger causality confirms the bidirectional causality between financial development and industrial production in the long run. The variance decomposition approach shows that financial development has major contributions in explaining industrial production. The impulse response function also confirms the results of variance decomposition. This research opens new insights for policymaking.
This article has estimated the impact of financial development on import demand over the period of 1986: Q1–2014: Q4 in case of Bangladesh. The long-run relationship between financial development, import demand and economic growth are investigated by combine cointegration. Error Correction Method (ECM) is applied to examine short-run phenomena. The unit root properties of variables are tested by augmented Dickey–Fuller test (ADF) and Philips–Perron (P–P) unit root test. Perron (1997) single structural break unit root test is also applied. The results of Bayer and Hanck (2013) combine cointegration test that reveal the existence of long-run relationship between import demand, financial development and economic growth. Financial development and economic growth have a positive and significant impact on import demand in long run as well as in short run. The lagged value of error correction method (ECMt-1) is –0.08 that is negative and significant. This indicates that change from equilibrium level of import demand is corrected by 8 per cent per quarter in a year. The results of Vector Error Correction Model (VECM) Granger causality explain that bidirectional causality exists between import demand and financial development in long run as well as short run. Similarly, bidirectional causality exists between import demand and economic growth in short run. Policymakers should focus on financial sector development for import of technology through adoption of the import substitution policy.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.