This paper has investigated the impact of food production, school enrollment, inflation, population growth, per capita income and CO2 emissions on life expectancy for Sultanate of Oman. Time series data is used from 1970 to 2012. For examining the cointegration among the variables Autoregressive distributed (ARDL) lag approach is used. The estimated results reveal that food production, school e...

This study examines the dynamic impact of financial development, trade openness, and economic growth on carbon dioxide (CO₂) emissions in Saudi Arabia. We applied autoregressive distributed lag bound testing technique for period 1990–2019. The empirical results show a long-run cointegration relationship among variables. estimation results, however, reveal that, growth, openness have positive si...

This study has examined the impact of sectoral growth on CO2 emissions in case Pakistan from 1970 to 2019. ADF and PP unit root tests have been applied check stationarity data series, whereas Zivot-Andrew structural break test existence break. The results show there is mixed order integration among selected variables, also highlights point a series. autoregressive distributed lag model for chec...

In this research, non-linear inflationary dynamics based on the concept of missing money is studied using the threshold autoregressive models based on seasonal data of the time interval (1990:04-2016:07) for the economy of Iran. The finding of the research shows that simple and Divisia liquidity growth variables are determined as threshold variables, and inflation reacts to changes in the growt...

This study were examined relationship between bank credits and investment growth of agricultural sector in Iran during the period of 1982-2011 by auto regressive distribution lag bounds test approach. Basically, the growth investing of the agricultural sector in Iran is related to oil revenues, bank credits, value added of agriculture sector and capital stock. The results confirm the existence ...

Prediction of economic variables is a basic component not only for economic models, but also for many business decisions. But it is difficult to produce accurate predictions in times of economic crises, which cause nonlinear effects in the data. Such evidence appeared in the German automobile industry as a consequence of the financial crisis in 2008/09, which influenced exchange rates and a...

Human capital in general spurs economic growth. Female human terms of education and health particular is important for growth countries where poverty gender inequalities are pervasive, such as Sudan. This study aimed to investigate the role female Sudan, together with labor force participation women’s national parliament. The applied a basic autoregressive distributed lag model ARDL nonlinear (...