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ID:
121192
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| Publication |
2013.
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| Summary/Abstract |
The article investigates the impacts of imports and foreign capital inflows on economic growth of Pakistan over the period 1990 to 2010. We have applied the structural break autoregressive distributed lag (ARDL) bounds testing approach to cointegration to examine the long-run relationship between the variables. The vector error correction model (VECM) Granger causality multivariate framework is used to investigate the causal relationship between the series. Empirical analysis in this article confirms the long-run relationship between foreign capital inflows, imports and economic growth. The results indicate that foreign capital inflows and imports have positive and significant effect on economic growth in case of Pakistan. Causality analysis reveals the bidirectional causality between the variables, but strong causal relation is running from foreign capital inflows and imports to economic growth.
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| 2 |
ID:
135153
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| Summary/Abstract |
The article aims to investigate the impact of nominal devaluation on income distribution in Bangladesh both in short and long runs. In doing so, Auto Regressive Distributed Lag (ARDL) bounds testing has been employed for cointegration, and Error Correction Model (ECM) has been used for short-run dynamics. The empirical psychology has confirmed the existence of long-run relationship between the variables. Furthermore our estimated results reveal that nominal devaluation tends to decrease income inequality. Though economic growth appears to improve income distribution, non-linear link between both the variables, however, depicts Kuznets’ inverted-U curve (1955). Financial development causes further deterioration in income distribution. Trade openness contributes to income inequality as discussed in Leontief Paradox.
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| 3 |
ID:
142827
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| Summary/Abstract |
This study examines the relationship between academics’ use of the Internet for academic purposes and their research performance using cross-sectional data collected from academics of the University of Southern Queensland (USQ), Australia, during the period February–March 2014. In this study, a system of simultaneous equation models is used to control the potential bias associated with simultaneity between the use of the Internet and academics’ research performances. The simultaneity, a potential econometric problem, was overlooked in past studies. A finding of this study is that academics’ use of the Internet is a statistically significant contributor to research output in an Australian university. The estimated elasticity of research output is 0.16 with respect to changes in Internet use.
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