Testing the role of oil production in the environmental Kuznets curve of oil producing countries : New insights from Method of Moments Quantile Regression

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Fiscal policy and CO2 emissions from heterogeneous fuel sources in Thailand : Evidence from multiple structural breaks cointegration test

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Environmental quality effects of income, energy prices and trade: The role of renewable energy consumption in G-7 countries

Renewable energy plays a vital role in achieving environmental sustainability, however, the mitigating effect varies across countries depending on the share of renewables in the energy mix. Herein, we analyze the effect of renewable energy consumption, energy prices, and trade on emissions in G-7 countries. The results demonstrate that renewable energy and energy prices exert negative pressure on CO2 emissions while trade volume exerts a robust positive pressure on CO2 emissions. The country-specific estimation results provide evidence of a negative effect of energy prices on CO2 emissions. While the environmental Kuznets curve hypothesis is validated at the panel and country-specific levels, the effect of renewable energy consumption and trade, are disparate across countries. The panel Granger causality shows a mono-directional causality flowing from energy prices, GDP, the quadratic term of GDP and trade to CO2 emissions. Renewable energy consumption, however, has no causal relationship with CO2 emissions but indirectly affects CO2 emissions through its direct effect on energy prices. Joint action on trade, energy prices, and country-specific renewable energy policies have implications for environmental sustainability and the attainment of the Sustainable Development Goals (SDGs).publishedVersionUnit Licence Agreemen

Towards mitigating ecological degradation in G-7 countries : accounting for economic effect dynamics, renewable energy consumption, and innovation

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Multiple novel prostate cancer susceptibility signals identified by fine-mapping of known risk loci among Europeans

Genome-wide association studies (GWAS) have identified numerous common prostate cancer (PrCa) susceptibility loci. We have fine-mapped 64 GWAS regions known at the conclusion of the iCOGS study using large-scale genotyping and imputation in 25 723 PrCa cases and 26 274 controls of European ancestry. We detected evidence for multiple independent signals at 16 regions, 12 of which contained additional newly identified significant associations. A single signal comprising a spectrum of correlated variation was observed at 39 regions; 35 of which are now described by a novel more significantly associated lead SNP, while the originally reported variant remained as the lead SNP only in 4 regions. We also confirmed two association signals in Europeans that had been previously reported only in East-Asian GWAS. Based on statistical evidence and linkage disequilibrium (LD) structure, we have curated and narrowed down the list of the most likely candidate causal variants for each region. Functional annotation using data from ENCODE filtered for PrCa cell lines and eQTL analysis demonstrated significant enrichment for overlap with bio-features within this set. By incorporating the novel risk variants identified here alongside the refined data for existing association signals, we estimate that these loci now explain ∼38.9% of the familial relative risk of PrCa, an 8.9% improvement over the previously reported GWAS tag SNPs. This suggests that a significant fraction of the heritability of PrCa may have been hidden during the discovery phase of GWAS, in particular due to the presence of multiple independent signals within the same regio

Fiscal policy and CO2 emissions from heterogeneous fuel sources in Thailand : Evidence from multiple structural breaks cointegration test

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Modelling the effect of energy consumption on different environmental indicators in the United States : The role of financial development and renewable energy innovations

This study offers new insights into the relationship between energy consumption and environmental degradation in the United States by controlling for financial development, renewable energy innovations, economic expansion, and trade policy uncertainty over the period 1985:Q1 to 2014:Q4. Based on the flexible autoregressive distributed lag model, our findings show that energy consumption deteriorates the environment, while renewable energy innovations reduce CO2 emissions but has no significant effect on ecological footprint. Furthermore, the environmental Kuznets curve hypothesis is valid only when ecological footprint is used as an environmental indicator. The causality results establish a feedback effect between CO2 emissions and renewable energy innovations, a unidirectional causal flow from financial development to CO2 emissions, energy consumption, and economic growth. Also discovered is a unidirectional causal flow from the ecological footprint to energy use and economic growth, and from renewable energy innovations and energy consumption to economic growth. Therefore, the policy implications for this study, among others, include the provision of grants and subsidies for research in renewable energy to enhance sustainable environmental quality.© 2021 Wiley. This is the peer reviewed version of the following article: Usman, O., Alola, A. A. & Ike, G. N. (2021). Modelling the effect of energy consumption on different environmental indicators in the United States: The role of financial development and renewable energy innovations. Natural Resources Forum 45(4), 441-463, which has been published in final form at https://doi.org/10.1111/1477-8947.12242. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.fi=vertaisarvioitu|en=peerReviewed

Testing the role of oil production in the environmental Kuznets curve of oil producing countries : New insights from Method of Moments Quantile Regression

publishedVersionUnit License Agreemen

Environmental quality effects of income, energy prices and trade: The role of renewable energy consumption in G-7 countries

Renewable energy plays a vital role in achieving environmental sustainability, however, the mitigating effect varies across countries depending on the share of renewables in the energy mix. Herein, we analyze the effect of renewable energy consumption, energy prices, and trade on emissions in G-7 countries. The results demonstrate that renewable energy and energy prices exert negative pressure on CO2 emissions while trade volume exerts a robust positive pressure on CO2 emissions. The country-specific estimation results provide evidence of a negative effect of energy prices on CO2 emissions. While the environmental Kuznets curve hypothesis is validated at the panel and country-specific levels, the effect of renewable energy consumption and trade, are disparate across countries. The panel Granger causality shows a mono-directional causality flowing from energy prices, GDP, the quadratic term of GDP and trade to CO2 emissions. Renewable energy consumption, however, has no causal relationship with CO2 emissions but indirectly affects CO2 emissions through its direct effect on energy prices. Joint action on trade, energy prices, and country-specific renewable energy policies have implications for environmental sustainability and the attainment of the Sustainable Development Goals (SDGs)

Towards mitigating ecological degradation in G-7 countries : accounting for economic effect dynamics, renewable energy consumption, and innovation

The 21(st) century economic growth is characterized by extensive production and consumption, which increases anthropogenic emissions. However, reducing emission levels require ecological sustainability through innovation and modern technological consideration. This paper investigated not only renewable energy-driven environmental quality but also captured innovation research investment in renewables within the framework of the environmental Kuznets curve (EKC) model for G-7 countries. The findings confirmed the presence of EKC hypothesis for G-7 countries. In addition, renewable energy and innovation were identified to exert negative effects on ecological footprint. To capture the entire conditional distribution of the ecological footprint, we applied the Method of Moments Quantile Regression with fixed-effects. The results affirmed the negative effects of renewable energy innovation. Besides, their effects were heterogeneous across the quantiles with evidence of diminishing effects from lower to higher quantiles, suggesting that countries with lower levels of ecological footprint are possibly more prone to the environmental deterioration effect of income growth. The results of the causality test support economic growth-induced ecological degradation, growth-induced renewables, and innovation-induced ecological conservation. The results further showed a feedback effect between renewables and ecological footprint, innovation, and income growth as well as innovation and renewables. These findings portend important implications for the realization of carbon-free economies in G-7 countries by 2100