Modeling the causal linkages between nuclear energy, renewable energy and economic growth in developed and developing countries

Omri, Anis; Mabrouk, Nejah Ben; Sassi-Tmar, Amel

doi:10.1016/j.rser.2014.10.046

Cited by 197 publications

(98 citation statements)

References 42 publications

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“…However, using the same model to simulate the relationship between renewable energy development and economic growth, Kahia et al [17] showed that long-term and short-term two-way causality between them may exist. This suggests that when studying the relationship between energy structure and economic development in different countries, even with the same research methods and models, the results are significantly different [18,19]. The main reason is that economic phenomena are complex and variable, leading to nonlinear relationships between economic variables.…”

Section: Literature Reviewmentioning

confidence: 99%

Does Renewable Energy Consumption Successfully Promote the Green Transformation of China’s Industry?

Han

Feng

et al. 2020

Energies

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The trade-off between economic growth and ecological improvement has always become an important and difficult issue for many countries, especially for developing countries. Due to a long-term extensive economic growth pattern, the regional resource allocation deviates from the optimal, especially the existence of energy misallocation, which hinders the maximization of economic output. Therefore, considering the characteristics and heterogeneity of resource endowments in different regions and increasing renewable energy consumption, that is, promoting energy transition, is it capable of sustainable development under China’s actual conditions? The exploration of the issue is a core step in the research of the impact of renewable energy on industrial green transformation. Based on the panel data of 30 regions in China from 2009 to 2016, this paper constructs a threshold model from the perspective of regional energy misallocation and empirically tests the nonlinear mechanism of renewable energy consumption to promote industrial green transformation. The results show that China’s energy allocation efficiency is low, there is a certain misallocation phenomenon, and the improvement effect in recent years is not satisfactory. Further, the relationship between renewable energy consumption and industrial green transformation is not a simple linear relationship, but a double threshold effect due to regional energy misallocation. In areas with severe energy misallocation, renewable energy consumption does not have a significant boost to industrial green transformation. Finally, this paper proposes the policy enlightenment of promoting industrial green transformation from the aspects of performance evaluation, market reform, and factor flow.

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Section: Literature Reviewmentioning

confidence: 99%

Does Renewable Energy Consumption Successfully Promote the Green Transformation of China’s Industry?

Han

Feng

et al. 2020

Energies

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“…Looking at the investment climate for publicly traded alternative energy companies, Henriques and Sadorsky (2008) find that stock prices of those companies respond more to a shock affecting technology stock prices (or a technology index) than to oil prices. Sadorsky (2009a), Salim and Rafiq (2012) and Omri et al (2015) use oil prices as a determinant of 2914…”

Section: Crude Oil and Renewable Energymentioning

confidence: 99%

A robust analysis of the relationship between renewable energy consumption and its main drivers

2015

Self Cite

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We provide a comprehensive and robust analysis of the drivers of renewable energy consumption for a panel of 64 countries, using both the static (Pooled OLS, Panel Fixed and Random Effects) and dynamic (difference and system GMM) panel data estimation approaches. We show that the dynamic panel data model provides more efficient estimators than the static ones and that increases in per capita CO 2 emissions and per capita trade with foreign partners mainly drive the changes in per capita renewable energy consumption. We also find limited evidence of oil price effects on renewable energy consumption, which reflects the fact that renewable energy is just a complement and not a perfect substitute of crude oil, at least in the short run.

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“…For example, through empirical analysis of the energy structure and economic growth of the G20 countries, Sikder et al [29] have suggested that renewable energy has different effects on the economic output of different countries; clean energy use can significantly boost gain in countries such as Argentina, Italy, and the US. Similarly, by comparing the fossil energy and non-fossil energy consumption in countries with an economic difference, Omri et al [30] proposed that there is a one-way causal relationship between renewable energy consumption and economic growth in developed countries such as Japan and the Netherlands.…”

Section: Can the Development Of Clean Energy Promote Economic Growth?mentioning

confidence: 99%

Application of Threshold Regression Analysis to Study the Impact of Clean Energy Development on China’s Carbon Productivity

Han

Feng

et al. 2020

IJERPH

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Facing the pressures of international carbon emission reduction, the transformation into a low-carbon economy has become a common issue of all countries. The core of developing a low-carbon economy is to increase carbon productivity, which can be measured as the economic benefits of unit carbon emissions. Therefore, using province-level panel data in China from 2009 to 2017, we analyze the carbon productivity level of each region, and empirically investigate the threshold effect of clean energy development on carbon productivity under different technological innovation levels. The results show that the carbon productivity is rising, and China’s economic development pattern has been shifting towards low-carbon and sustainable development. Furthermore, the driving force of clean energy development on carbon productivity is not monotonously increasing (decreasing) but is a “double threshold effect” of technological innovation capability. Finally, based on the research conclusions and realistic requirements of China’s low-carbon economic transformation, this paper proposes improving carbon productivity from the aspects of innovation capability improvement and institutional guarantee.

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Modeling the causal linkages between nuclear energy, renewable energy and economic growth in developed and developing countries

Cited by 197 publications

References 42 publications

Does Renewable Energy Consumption Successfully Promote the Green Transformation of China’s Industry?

Does Renewable Energy Consumption Successfully Promote the Green Transformation of China’s Industry?

A robust analysis of the relationship between renewable energy consumption and its main drivers

Application of Threshold Regression Analysis to Study the Impact of Clean Energy Development on China’s Carbon Productivity

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