This study aims at investigating the nature of the causal relationship between immigration and two macroeconomic indicators, GDP per capita and unemployment, in Sweden using autoregressive distributed lag (ARDL) bounds testing procedure and Granger-causality within vector error correction model (VECM) based on annual data spanning the period between 1980 and 2004. Results of the ARDL bounds tes...

This paper investigates the relationship between electricity consumption and economic growth by using Autoregressive Distributed Lag (ARDL) bounds testing approach and vector error-correction models (VECM) in Cameroon, Cote D'Ivoire, Congo, Ethiopia, Gabon, Ghana, Guatemala, Kenya, Senegal, Togo and Zambia for period 1970-2010. The ARDL results show that there is cointegration relation between ...

In this paper, we use daily administrative data from January 25, 2020 to December 31, examine the relationship between job losses and Malaysian lockdown measures. The Auto Regressive Distributed Lag (ARDL) approach is used estimate both long-run short-run models. results of Bounds F-test for cointegration reveal that there a link government measures (both linear non-linear). positive associatio...

This study aimed to determine the threshold level of public external debt-to-GDP ratio for Guinea and compared it with current evolution debt. The authors used an autoregressive distributed lag (ARDL) approach test hypothesis long-term relationship among variables interest data ranged from 1990 2018. results revealed that External per capita GDP are positively related. Moreover, null no co-inte...

It is a global challenge to reduce environmental pollution and enhance sustainable economic growth. This study explores the role of financial development as an instrument in reducing enhancing Pakistan for period 1980-2020. The Non-linear Autoregressive Distributed Lag (NARDL) econometrics technique has been utilized find association between pollution, growth, development. results show that pos...

motion analysis and quality assessment of human sperm cell is of great importance for clinical applications of male infertility. sperm tracking is quite complex due to cell collision, occlusion and missed detection. the goal of this study is simultaneous tracking of multiple human sperm cells. in the first step in this research the frame difference algorithm is used for background subtraction. ...

this study compared the use of five different models to describe the growth from birth to 20 weeks of age of kids from both genders of nondescript goats. fifty nine (59) nondescript kids were weighed weekly at the university of maiduguri livestock teaching and research farm, nigeria and the live weights were modeled. biologically relevant variables were estimated for each kid from the logistic,...

in this paper, we consider non-linear ginsburg-pitaevski-gross equation with the rosen-morse and modifiedwoods-saxon potentials which is corresponding to the quantum vortices and has important applications in turbulence theory. we use the runge- kutta-fehlberg approximation method to solve the resulting non-linear equation.

Abstract The literature reveals that linear models do not accurately represent the asymmetric relationship between economic growth and energy consumption (EC). To fill this gap, we examined EC in a non-linear panel autoregressive distributed lag (ARDL) framework of 85 countries as whole sample Brazil, Russia, India, China, South Africa (BRICS), Next Eleven, Big Four Western Europe, Asia-Pacific...

Several researchers have studied the relationship between poverty and environmental degradation, as these concerns are remained at top priority in achieving Sustainable Development Goals (SDGs). However, symmetric asymmetric impact of income inequality along with population economic growth on carbon emissions (CO 2 e) has not been case Pakistan. For this purpose, short long-run poverty, inequal...