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The purpose of this study is to determine the direction of causality between the quality of education and technological development for the selected Northern European countries over the period 2006-2017. To this end, we employ the bootstrap panel causality test. The findings of our study indicate that the quality of education leads to changes in technological readiness in the long run. Interestingly, the reverse direction causal effect is not detected. These findings provide further evidence on -- other -- positive impacts of the Nordic educational system and are likely to stimulate the interest of policymakers in this field.

Summary: This paper sheds light on the causality linkages between economic growth and energy production, that is, natural gas, bioenergy and waste, coal, nuclear, petroleum, wind, solar and hydro for the United Kingdom over the period 1998Q1 to 2017Q4. To this end, we apply time‐domain causality tests—Toda‐Yamamoto causality test and gradual shift causality test, and frequency domain causality (FDC) test for empirical analysis to sort out the causality among the outlined variables under consideration. Empirical findings from the spectral BC causality test reveal that (a) changes in energy production from natural gas and petroleum spur significant changes in economic growth in the United Kingdom; (b) economic growth causes energy production from natural gas, petroleum, wind, solar, hydro and nuclear and (c) it is worthy of mentioning that time and FDC tests provide consistent outcomes at different significance and frequency levels. On the causality analysis, the hypothesis that natural gas triggers economic growth is valid, while the result also reveals a feedback causality the variables of concern. Similarly, economic growth drives nuclear energy production one‐way as well as total energy drives economic growth. These results provide policy implications for energy and environmental sustainability in the United Kingdom where renewable energy sources drive economic growth. Thus, necessitates the need to maintain the current trajectory for more renewable energy promotion in energy mix relative to fossil‐fuel energy sources. Highlights: Economic impact is revisited for the United Kingdom over the period 1998Q1 to 2017Q4.Toda‐Yamamoto, gradual shift and frequency domain causality tests were employed.Distinct roles of natural gas, fossil, nuclear and mix of renewables were explored.Changes in natural gas and petroleum significantly spur economic growth.Frequency domain causality tests offer consistent time and frequency changes. [ABSTRACT FROM AUTHOR]

The aim of this present study is to assess the causal link between nuclear energy consumption and economic growth in the United Kingdom using Toda Yamamoto causality and wavelet coherence tests with the objective of responding to the following questions: (a) Does consumption of nuclear energy lead to economic growth in the United Kingdom and/or does economic growth lead to the consumption of nuclear energy sources in the United Kingdom, and (b) if so, why? The findings from wavelet coherence reveal that changes in economic growth lead to changes in nuclear energy consumption in the United Kingdom at different frequencies, especially in the long‐run, and in different periods between 1998 and 2017. In addition, there is a positive correlation between nuclear energy consumption and economic growth between 2002 and 2006 in the short‐run. In this study, we also check the consistency of the findings from wavelet coherence which is confirmed by the outcomes of Toda Yamamoto causality test. Therefore, the present study is likely to attract great interest from the policy‐makers and researchers in this field. At the same time, it is likely to start a new debate. [ABSTRACT FROM AUTHOR]

The spread of the COVID-19 pandemic since the end of 2019 has forced an unprecedented lockdown worldwide, and environmental quality was significantly affected by the pandemic and its induced lockdown. The objective of this study is to examine the role of renewable energy, non-renewable energy and COVID-19 case on CO 2 emission in the context of United Kingdom. Several non-linear techniques such as Fourier ADL cointegration test, Non-Linear ARDL, Markov switching regression, and Breitung and Candelon (BC) causality test are employed to attain this objective. The result reveals that there is long run cointegration among the variables in this study. The results demonstrate that positive (negative) shift in renewable energy development decrease (increase) CO 2 emissions while positive (negative) shocks in fossil fuel energy increase CO 2 emissions. Moreover, negative (positive) variation in COVID case leads to a decrease (increase) in CO 2 emissions. Moreover, an uni-directional causal impact was found to run from all the variables – renewable energy, fossil fuel, and COVID-19 case to CO 2 emissions. Finally, several policy recommendations are provided. [Display omitted] [ABSTRACT FROM AUTHOR]