The present research assesses the influence of globalization and technological innovation on CO2 emissions in South Korea as well taking into account role renewable energy consumption utilizing datasets between 1980 2018. autoregressive distributed lag (ARDL) bounds testing method is utilized to assess long-run cointegration. outcome ARDL test confirmed cointegration among series. Furthermore, ...

Electricity consumption is the primary source of carbon dioxide (CO2) emissions in Australia. Hence, this research study aims to analyse role clean energy on CO2 and electricity Australia by making use yearly data, 1980–2014 a battery time series econometric techniques. The autoregressive distributed lag (ARDL) method employed investigate short- long-run estimates, while Bayer Hanck (2013) test...

Abstract Urbanization has been argued to be having an impact on several other development challenges. To this end, paper aims contribute the empirical literature by exploring effect of urbanization and its' magnitude poverty, both in short run long Nigeria. The macroeconomic analysis was conducted using data from 1982 2017 which obtained World Bank. Bound Test autoregressive distributed-lag (AR...

Abstract The paper examines the long-run relationship between poverty reduction, economic growth, and tourism development in Kazakhstan during period of 2001–2017. We expand basic model by including other determinants such as inequality, unemployment, spending on health. use Autoregressive Distributed Lag (ARDL) approach to test co-integration variables, ARDL bound is less restrictive provides ...

Abstract This paper investigates the effect of renewable energy on economic growth in Croatia for period 1996-2018. The Autoregressive Distributed Lag (ARDL) technique is used to find long run relationships between energy, consumption and growth. empirical analysis indicates that has a positive significant short run. These findings indicate Croatian government can continue boost investment with...

Experts believe that by lowering the interest rate on bank accounts, total cost of goods and services decreases, and secondly, investment production increases,  both of which lead to lower inflation and provide stable employment field, on the other hand, are concerned about the negative effects of lowering the interest rate without lowering inflation and know the underlying requirement of nomin...

This paper uses an innovative method through combining autoregressive distributed lag model and a quantile regression, called a quantile autoregressive distributed lag model, to examine the dynamic long-run equilibrium and short-run causal relationship between the stock price of China and the RMB/USD exchange rate from January 1994 to June 2016. The results indicate that there is long-run coint...

China is currently the country with largest carbon emissions in world, to which, power industry contributes greatest share. To reduce emissions, reliable and timely forecasting measures are important necessary. By using different frequency variables, this study, we used mixed-data sampling (MIDAS) regression model forecast annual of China’s compared a benchmark model. It was found that MIDAS ha...

background: injuries and deaths from road traffic crashes are one of the main public health problems throughout the world. this study aimed to identify determinants of fatality traffic accident in iran for the twenty-span year from 1991 to 2011. methods: a time series analysis (1991-2011) was used to examine the effects of some of the key explanatory factors (gdp per capita, number of doctors p...