Energy consumption, finance, and climate change: Does policy uncertainty matter?

Atsu, Francis; Adams, Samuel

doi:10.1016/j.eap.2021.03.013

Cited by 93 publications

(49 citation statements)

References 63 publications

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“…For the countries in our sample, the economic contraction caused by high EPU overwhelms the neglected implementation of environmental regulations, reduced commitments on environmental protection by enterprises, and the higher use of cheaper but more polluting energy sources. Although these results confirm the significant environmental impact of EPU, it is different from the empirical literature that indicates a positive longrun relationship between the two variables (Adams et al 2020;Adedoyin et al 2021a;Anser et al 2021;Atsu and Adams 2021;Danish and Khan 2020;Sohail et al 2021;Yu et al 2021;Zakari et al 2021). The difference may be due to the choice of research sample.…”

Section: Main Results and Discussioncontrasting

confidence: 99%

Environmental quality and the role of economic policy uncertainty, economic complexity, renewable energy, and energy intensity: the case of G7 countries

Chu

2021

Environ Sci Pollut Res

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This study explores the environmental impacts of economic policy uncertainty, economic complexity, renewable energy, and energy intensity on the countries in the Group of Seven (G7) countries. To this end, the study employs fully modified ordinary least squares and a fixed effects model with Driscoll and Kraay, Rev Econ Stat 80:549-560, (1998) robust standard errors and a panel dataset from 1997 to 2015. The findings demonstrate a long-term relationship between the variables of interest and carbon dioxide emissions and the ecological footprint. Specifically, high energy intensity increases environmental pollution while high economic policy uncertainty and renewable energy reduces environmental degradation. The environmental Kuznet curve of economic complexity and environmental quality holds for G7 countries. Moreover, economic policy uncertainty strongly moderates the environmental effect of renewable energy, economic complexity, and energy intensity. Specifically, although economic policy uncertainty amplifies the beneficial environmental effects of renewable energy and economic complexity, it enlarges the harmful effect of energy intensity on environmental quality. These empirical outcomes allow us to draw useful implications for policy makers to mitigate the environmental degradation.

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Section: Main Results and Discussioncontrasting

confidence: 99%

Environmental quality and the role of economic policy uncertainty, economic complexity, renewable energy, and energy intensity: the case of G7 countries

Chu

2021

Environ Sci Pollut Res

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“…We hypothesize that different patterns of urbanization depending on social and economic circumstances have distinct impacts on the environment. In addition, there is consensus in the research community that increased fossil fuel consumption is coupled with increased CO 2 emissions [31,43], which this study confirms as well. Finally, this study revealed that increased trade openness is associated with reduction in CO 2 emissions, which agrees with the work by Chen et al [25] on data from G20 countries and by Dogan and Turkekul [31] on USA, and disagrees with another work on 64 countries [44].…”

Section: Discussionsupporting

confidence: 78%

Using Quantile Regression to Analyze the Relationship between Socioeconomic Indicators and Carbon Dioxide Emissions in G20 Countries

Alotaibi

Alajlan

2021

Sustainability

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Numerous studies addressed the impacts of social development and economic growth on the environment. This paper presents a study about the inclusive impact of social and economic factors on the environment by analyzing the association between carbon dioxide (CO2) emissions and two socioeconomic indicators, namely, Human Development Index (HDI) and Legatum Prosperity Index (LPI), under the Environmental Kuznets Curve (EKC) framework. To this end, we developed a two-stage methodology. At first, a multivariate model was constructed that accurately explains CO2 emissions by selecting the appropriate set of control variables based on model quality statistics. The control variables include GDP per capita, urbanization, fossil fuel consumption, and trade openness. Then, quantile regression was used to empirically analyze the inclusive relationship between CO2 emissions and the socioeconomic indicators, which revealed many interesting results. First, decreasing CO2 emissions was coupled with inclusive socioeconomic development. Both LPI and HDI had a negative marginal relationship with CO2 emissions at quantiles from 0.2 to 1. Second, the EKC hypothesis was valid for G20 countries during the study period with an inflection point around quantile 0.15. Third, the fossil fuel consumption had a significant positive relation with CO2 emissions, whereas urbanization and trade openness had a negative relation during the study period. Finally, this study empirically indicates that effective policies and policy coordination on broad social, living, and economic dimensions can lead to reductions in CO2 emissions while preserving inclusive growth.

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“…The project then derives the findings using provincial panel data from the panel study-GCMS data from 1995 and later data from 2017 to conduct empirical research on the small sample population theory (or systematic-GCMS) implications. By significantly extending the study of the results, this current research will contribute to the advancement of the sustainable development theory (Atsu and Adams 2021).…”

Section: Technological Progress and Environmental Regulationmentioning

confidence: 91%

Evaluating green innovation and performance of financial development: mediating concerns of environmental regulation

Hsu

Ngo

Chien

et al. 2021

Environ Sci Pollut Res

252

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This research measures the relationship between green innovation and the performance of financial development by using an econometric estimation during the year of 2000 to 2018 in 28 Chinese provinces. It is intended to explore the relative role of green technological innovation in driving green financial development in the west and central China, as well as how it influences economic growth in these regions. Ordinary least square (OLS) framework was utilized in mainland China to perform empirical studies by using an econometric estimation. This study claims that China has adopted research-based education system, while those for economic growth and expenditure in the regions while the innovation parts results shows that the tertiary education were 12.42% and 13.53% versus the 10.50% and 10.6% in the eastern area. The research-based education increases the patents in green innovation and boosts the environmental policy. The financial development led to green technological development and innovation. Green innovation and financial development decrease the emissions, and it is apparent that as environmental regulations stimulate technical development, the superiority of human resources increases. The findings indicate that green financing reduces short-term lending, thus limiting clean energy overinvestment, while the long-term loans have little impact on renewable energy overinvestment, and the intermediary effect is unmaintainable. Meanwhile, the green financial growth will reduce renewable energy overinvestment and increase renewable energy investment productivity to certain amount.

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Energy consumption, finance, and climate change: Does policy uncertainty matter?

Cited by 93 publications

References 63 publications

Environmental quality and the role of economic policy uncertainty, economic complexity, renewable energy, and energy intensity: the case of G7 countries

Environmental quality and the role of economic policy uncertainty, economic complexity, renewable energy, and energy intensity: the case of G7 countries

Using Quantile Regression to Analyze the Relationship between Socioeconomic Indicators and Carbon Dioxide Emissions in G20 Countries

Evaluating green innovation and performance of financial development: mediating concerns of environmental regulation

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