Environmental Kuznets Curve of greenhouse gas emissions including technological progress and substitution effects

Liobikienė, Genovaitė; Butkus, Mindaugas

doi:10.1016/j.energy.2017.06.120

Cited by 82 publications

(32 citation statements)

References 67 publications

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“…Meanwhile, the main determinants that lowered GHG emissions were a higher share of renewable energy consumption and a decrease in fossil energy consumption and energy intensity. These findings are in line with a lot of studies [43,[71][72][73][74][75][76][77][78][79][80]. Therefore, in seeking the mitigation of climate change, the improvement of technological progress, which helps to reduce fossil energy consumption, and the promotion of renewable energy consumption are essential tools in climate policy.…”

Section: Discussion and Policy Implicationssupporting

confidence: 85%

The Contribution of Energy Taxes to Climate Change Policy in the European Union (EU)

2019

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Energy taxes are one of the main market-based tools directed toward mitigating climate change in the European Union (EU). Therefore, the aim of this article was to analyze whether energy taxes really contribute to the reduction of greenhouse gas (GHG) emissions and the successful implementation of climate change policy. Applying the Granger causality test on time series and using panel data analysis, the direct and indirect (via the reduction of fossil energy consumption (FEC) and energy intensity (EI), as well as the increase of renewable energy consumption (REN)) impacts of energy taxes on GHG emissions in EU countries were analyzed in the present study. The results showed that energy taxes did not Granger-cause fossil energy consumption, energy intensity, renewable energy consumption, and GHG emissions in almost all EU countries. Regarding the panel data analysis, the results showed that energy taxes did not, directly and indirectly, influence GHG emissions. Therefore, this paper shows that generally, energy tax policy in EU countries is ineffective. Thus, tax policy should be reformed and matched with an emissions trading system in seeking climate change mitigation.

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Section: Discussion and Policy Implicationssupporting

confidence: 85%

The Contribution of Energy Taxes to Climate Change Policy in the European Union (EU)

2019

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“…They find that technological progress restrains carbon emissions during its increasing stage and accelerates its decrease during the decreasing stage. Liobikienė and Butkus [35] reveal that an increase in technological progress (energy efficiency) by 1% could lead to a 0.87% direct reduction of Green House Gas, and a 0.18% indirect increase through induced economic growth.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Thus, technological progress induced by R&D investment is the underlying cause of carbon emissions change along with the economic development, which can make carbon emissions reach the turning point earlier. Therefore, we modify the EKC function by replacing the quadratic of income with the interaction of income and R&D investment, to investigate the moderating effects of R&D investment on the relationship between income and carbon emissions [35], shown as…”

Section: Panel Data Modelmentioning

confidence: 99%

The Moderating Effect of R&D Investment on Income and Carbon Emissions in China: Direct and Spatial Spillover Insights

Peng

Tan

2019

Sustainability

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R&D investment plays a great role in achieving China’s low-carbon economy goals, which has a moderating effect on the relationship between income and carbon emissions. Furthermore, such a moderating effect may have spatial differences, given the possible spatial dependence of carbon emissions. Therefore, this paper explores the direct and spatial spillover moderating effects of R&D investment by adopting the panel spatial Durbin model and data of 30 provinces in China during 1998–2015. The empirical results firstly indicate that R&D investment moderates the positive impact of income on local carbon emissions for both the non-spatial and spatial model, and that more R&D investment can make carbon emissions reach the turning point earlier. Secondly, R&D investment in the local province increases the positive influence of local income on neighboring carbon emissions, which mainly results from the transfer effect of carbon emissions rather than the knowledge spillovers effect. The results are indicated to be robust by three types of robustness analyses. Finally, FDI and patents are the main constrained forces of local and neighboring carbon emissions; coal consumption is the main driver of local carbon emissions.

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“…Reference [28] studied the importance of developing new technologies in decreasing costs and implementing more innovative and practical approaches to energy management. Additionally, reference [29] showed that the increase in energy efficiency and promotion of renewable energy consumption are the main tools to achieve the Environmental Kuznets Curve (EKC), emphasizing the negative relationship between pollution and output growth occurrence at the world level. Otherwise, the authors concluded that the relationship between greenhouse gas emissions and total production output would be monotonically positive.…”

Section: A Simple Model Explanationmentioning

confidence: 99%

Education and Energy Intensity: Simple Economic Modelling and Preliminary Empirical Results

Sequeira¹,

Santos²

2018

Sustainability

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Abstract:The ratio of energy use to Gross Domestic Product (defined as energy intensity) is a major determinant of environmental hazard and an indicator of eco-efficiency. This paper explains why education can have an effect in reducing the energy intensity thus affecting eco-efficiency. We devise a stylized economic model with simple and widely accepted assumptions that highlights the role of education in decreasing energy intensity worldwide. In an empirical application that is robust to the features of the data, we show that primary schooling contributes to a decrease in energy intensity which has a very significant effect, even accounting for the other well-known determinants of energy intensity. Additionally, when schooling is taken into account, income is no longer a negative determinant of energy intensity.

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Environmental Kuznets Curve of greenhouse gas emissions including technological progress and substitution effects

Cited by 82 publications

References 67 publications

The Contribution of Energy Taxes to Climate Change Policy in the European Union (EU)

The Contribution of Energy Taxes to Climate Change Policy in the European Union (EU)

The Moderating Effect of R&D Investment on Income and Carbon Emissions in China: Direct and Spatial Spillover Insights

Education and Energy Intensity: Simple Economic Modelling and Preliminary Empirical Results

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