Heterogeneous effects of energy efficiency, oil price, environmental pressure, R&amp;D investment, and policy on renewable energy -- evidence from the G20 countries

Wang, Qiang; Li, Shuyu; Pisarenko, Zhanna

doi:10.1016/j.energy.2020.118322

Cited by 125 publications

(38 citation statements)

References 71 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This goes in line with the Porter effect for the case of China. Our findings are also in line with majority of the existing literatures, for example, (Hodson et al, 2018), (Galeotti et al, 2020), (Wang et al, 2020), (Yu and Wang, 2021).…”

Section: Econometric Modeling and Variable Selection 431 The Dynamic Panel Data Model Effectsupporting

confidence: 93%

Nexus Between Energy Policy and Environmental Performance in China: The Moderating Role of Renewable Energy Patents.

Mg¹,

Zhuquan²,

Bashir³

et al. 2021

Preprint

View full text Add to dashboard Cite

The socioeconomic and environmental considerations of energy production have become crucial due to the increasing complexity of the relationship between energy and the environment. In this context, this study aims to develop possible mechanisms for perspectives of energy policy on environmental by exploring the mediating role of renewable energy patents. The study used a non-radial data envelopment analysis (DEA) model and panel data model for 30 Chinese provinces by taking the panel data from 2010 to 2017. The results show that the overall environmental performance index (EPI) of Chinese areas is improved by 9.88% from 2010 to 2017. Further, The econometric model findings offer evidence that provincial renewable energy policies and emission reduction policies positively impact the enhancement of EPI. The results also show that the P values of the single-threshold model and the double-threshold model both passed the 1% significance test, so it can be concluded that there is a double-threshold effect. Finally, the research findings posed several policy implications based on the research findings.

show abstract

Section: Econometric Modeling and Variable Selection 431 The Dynamic Panel Data Model Effectsupporting

confidence: 93%

Nexus Between Energy Policy and Environmental Performance in China: The Moderating Role of Renewable Energy Patents.

Mg¹,

Zhuquan²,

Bashir³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Legislation and policy play critical roles in the dispersion of renewable energy technologies [50,51]. Bangladesh published its renewable energy policy in December 2008 and this policy incorporates modalities and systems, financial and other incentives and tariff regulations [13].…”

Section: Recommendation To Diffuse Biogas In Bangladeshmentioning

confidence: 99%

Drivers and barriers to the implementation of biogas technologies in Bangladesh

Hasan

Kabir²,

Hoq

et al. 2020

Biofuels

View full text Add to dashboard Cite

“…This implies in turn that any convergence or divergence results cannot be traced back to these natural endowments, which are essentially fixed over time. The country-specific effects will also capture the fact that some countries host long-standing non-renewable energy sectors, which deter government support to renewable energy R&D (following lobbying activity) (Wang, Li, and Pisarenko 2020;Furlan and Mortarino 2018). Moreover, the profitability of the fossil fuel sectors will be influenced by global fossil fuel prices, and such common influences are captured by the time-specific effects.…”

Section: Randd-based Knowledge Stocks and The Conditional Convergence Modelmentioning

confidence: 99%

Government support to renewable energy R&D: drivers and strategic interactions among EU Member States

Grafström

Söderholm

Gawel

et al. 2020

Economics of Innovation and New Technology

View full text Add to dashboard Cite

Although the climate challenge requires proactive policies that spur innovation in the renewable energy sector, various countries commit vastly different levels of support for renewable energy R&D. This paper addresses the question why this may be the case. Specifically, the objective is to analyse the determinants of government support to renewable energy R&D in the European Union (EU), and, in doing this, we devote particular attention to the question of whether the level of this support tends to converge or diverge across EU Member States. The investigation relies on a data set of 12 EU Member States and a bias-corrected dynamic panel data estimator. We test for the presence of conditional β-convergence, and the impacts of energy dependence and electricity regulation on government R&D efforts. The findings display divergence in terms of government support to renewable energy R&D, and this result is robust across various model specifications and key assumptions. The analysis also indicates that countries with a low energy-import dependence and deregulated electricity markets tend to experience lower growth rates in government renewable energy R&D. The paper ends by discussing some implications of the results, primarily from an EU perspective.

show abstract

Heterogeneous effects of energy efficiency, oil price, environmental pressure, R&D investment, and policy on renewable energy -- evidence from the G20 countries

Cited by 125 publications

References 71 publications

Nexus Between Energy Policy and Environmental Performance in China: The Moderating Role of Renewable Energy Patents.

Nexus Between Energy Policy and Environmental Performance in China: The Moderating Role of Renewable Energy Patents.

Drivers and barriers to the implementation of biogas technologies in Bangladesh

Government support to renewable energy R&D: drivers and strategic interactions among EU Member States

Contact Info

Product

Resources

About