Yazar "Murad, Md. Wahid" seçeneğine göre listele

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    Dynamics of technological innovation, energy consumption, energy price and economic growth in Denmark
    (WILEY, 2019) Murad, Md. Wahid; Alam, Md. Mahmudul; Noman, Abu Hanifa Md.; Öztürk, İlhan
    This study investigates the dynamic relationships between technological innovation, consumption of energy, energy price, and economic growth in Denmark during the period from 1970 until 2012, using multivariate setting to examine time-series data. The analysis employs the autoregressive distributed lag (ARDL) approach to co-integration to examine both the short and long run dynamics among the variables. Furthermore, the study uses the Granger procedure within the VAR framework to identify causality among the variables. The model used in this study is found to be sound, a diagnosis of the reliability of the model reached by testing normality, functional form, serial correlation, and heteroscedasticity, with stability of the model tested using a cumulative sum and cumulative sum square test, based on recursive regression residuals. The ARDL approach to co-integration reveals that real GDP growth positively influences energy consumption as well as significantly in both the short run and long run, while energy prices and technological innovation influence energy consumption negatively and significantly. The results ascertain that energy consumption and economic growth are independent of each other, and thus they support a neutral hypothesis for Denmark. Besides, both the technological innovation and energy prices are found to be Granger cause energy consumption. Therefore, the study suggests that Denmark should adopt conservative energy policy using technological innovation and energy prices as instruments to achieve energy security and protect the environment from pollution.
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    Relationships among carbon emissions, economic growth, energy consumption and population growth: Testing Environmental Kuznets Curve hypothesis for Brazil, China, India and Indonesia
    (ELSEVIER SCIENCE BV, 2016) Alam, Md. Mahmudul; Murad, Md. Wahid; Nornanc, Abu Hanifa Md.; Öztürk, İlhan
    This study examines the impacts of income, energy consumption and population growth on CO2 emissions by employing an annual time series data for the period 1970-2012 for India, Indonesia, China, and Brazil. The study used the Autoregressive Distributed Lag (ARDL) bounds test approach considering both the linear and non-linear assumptions for related time series data for the top CO2 emitter emerging countries in both the short run and long run. The results show that CO2 emissions have increased statistically significantly with increases in income and energy consumption in all four countries. While the relationship between CO2 emissions and population growth was found to be statistically significant for India and Brazil, it has been statistically insignificant for China and Indonesia in both the short run and long run. Also, empirical observations from the testing of environmental Kuznets curve (EKC) hypothesis imply that in the cases of Brazil, China and Indonesia, CO2 emissions will decrease over the time when income increases. So based on the EKC findings, it can be argued that these three countries should not take any actions or policies, which might have conservative impacts on income, in order to reduce their CO2 emissions. But in the case of India, where CO2 emissions and income were found to have a positive relationship, an increase in income over the time will not reduce CO2 emissions in the country. (C) 2016 Elsevier Ltd. All rights reserved.