Exploring the nexuses of disintegrated energy consumption, structural change, and financial development on environmental sustainability in BRICS: Modulating roles of green innovations and regulatory quality

Ibrahim, Ridwan Lanre; Öztürk, İlhan; Al‐Faryan, Mamdouh Abdulaziz Saleh; Al‐mulali, Usama

doi:10.1016/j.seta.2022.102529

Cited by 42 publications

(39 citation statements)

References 32 publications

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“…The outcomes demonstrate the negative association (cold color) in the long-run domain as predicted (frequencies of 16–32). These findings are consistent with those of Ibrahim et al, 77 who showed a negative long-run connection between COVID-19 and oil prices. Because of this reduction, oil consumption decreased, which reduced barrel prices.…”

Section: Empirical Results and Discussionsupporting

confidence: 93%

Effect of green bonds, oil prices, and COVID-19 on industrial CO₂ emissions in the USA: Evidence from novel wavelet local multiple correlation approach

Adebayo

Kartal

2023

Energy & Environment

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This study explores the effect of green bonds, oil prices, and the coronavirus disease 2019 (COVID-19) pandemic on industrial carbon dioxide (CO2) emissions. In this context, this study examines the United States of America (USA), which is the biggest economy in the world, uses weekly data between March 6, 2020 and September 30, 2022, and applies a novel wavelet local multiple correlation (WLMC) approach under time-varying and frequency-varying perspective. The novel empirical findings shows that (i) there is a strong negative (positive) co-movement between industrial CO2 emissions and green bonds in the short-run (long-run); (ii) there is a strong positive (negative) co-movement between industrial CO2 emissions and oil price in the medium-run (long-run); (iii) there is a strong negative (positive) co-movement between industrial CO2 emissions and the COVID-19 pandemic in the medium-run (long-run); (iv) the oil price is the dominant factor, whereas there are changing effect of the variables on each other at different times and frequencies; and (vi) overall, there are long-run asymmetric and dynamic correlations between industrial CO2 emissions and variables. Hence, the empirical results highlight the asymmetric, time-varying, and frequency-varying effects of green bonds, oil prices, and the COVID-19 pandemic on industrial CO2 emissions by presenting fresh and novel evidence. Moreover, the study proposes policy implications for the USA government.

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Section: Empirical Results and Discussionsupporting

confidence: 93%

Effect of green bonds, oil prices, and COVID-19 on industrial CO₂ emissions in the USA: Evidence from novel wavelet local multiple correlation approach

Adebayo

Kartal

2023

Energy & Environment

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“…The estimation coefficient of green development lags by one period to the current science and technology finance level. The level of coupling and coordination is significantly positive, indicating that green development is at a higher level, requiring a higher level of science and technology finance development to serve it (Ibrahim et al, 2022). It is more conducive to coordination and progress between the two.…”

Section: Analysis Of Pvar Model Resultsmentioning

confidence: 99%

Coupling and interaction between science and technology finance and green development: Based on coupling coordination degree model and panel vector autoregression model

Gao

Cao²,

Wen³

et al. 2023

Front. Environ. Sci.

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Exploring the coupling and coordination between science and technology finance and green development is a critical action that needs to be addressed in achieving high-quality development in China. Based on the coupling coordination degree model and panel vector autoregression (PVAR) model, this paper uses the relevant data of 274 cities in China from 2003 to 2020 to study the relationship between science and technology finance and green development. The results show that: 1) The relationship between science and technology finance and green development has changed from low coupling coordination to medium coupling coordination in the sample period. 2) The Beijing-Tianjin-Hebei, Yangtze River Delta, and Pearl River Delta regions are at a relatively high level of coupling and coordination as a whole, while other regions are at a relatively low level of coupling and coordination. 3) Through the analysis of the spatial characteristics of the coupling coordination degree, it is found that the coupling coordination degree of China’s urban science and technology finance and green development is generally positive spatial autocorrelation. Spatial correlations continue to strengthen over time. 4) By establishing a PVAR model, we examined the interaction between science and technology finance, green development, and their coupling coordination. Science and technology finance, green development and their coupling coordination degree are themselves affected. We have comprehensively and objectively grasped the matching status of China’s urban science and technology finance and green development, providing a reference for promoting the adaptation of science and technology finance to green development.

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“…Additionally, disregarding slope heterogeneity and CD when estimating CO 2 emissions may be the root of biased and unreliable estimates. The parameter estimators may also be inefficient and unreliable if a CD problem exists in the panel data and this condition is disregarded (Ibrahim et al, 2022).…”

Section: Literature Gapsmentioning

confidence: 99%

Towards unlocking the chain of sustainable development in the BRICS economies: Analysing the role of economic complexity and financial risk

Adebayo

2023

Geological Journal

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In response to the mounting risks posed by climate change, innovation and mitigation of pollution have emerged as key drivers of sustainable growth and the environment. This research aims to explore the effect of economic complexity and financial risk on the load capacity factor. The research employed a series of second-generation techniques such as a method of moment quantile regression and Dumitrescu Hurlin panel causality covering the period between 1990 and 2018. The findings provided convincing evidence of cointegration. The long-run analysis showed that renewable energy use, economic complexity and financial risk contribute to ecological quality.However, non-renewable energy and economic progress threaten ecological quality by lessening the load capacity factor. The research revealed causality from financial risk, economic growth, disintegrated energy and economic complexity to load capacity factor. Lastly, a policy framework is proposed based on the study findings to accomplish the sustainable development goals (SDGs) 7, 13 and 17.

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Exploring the nexuses of disintegrated energy consumption, structural change, and financial development on environmental sustainability in BRICS: Modulating roles of green innovations and regulatory quality

Cited by 42 publications

References 32 publications

Effect of green bonds, oil prices, and COVID-19 on industrial CO₂ emissions in the USA: Evidence from novel wavelet local multiple correlation approach

Effect of green bonds, oil prices, and COVID-19 on industrial CO₂ emissions in the USA: Evidence from novel wavelet local multiple correlation approach

Coupling and interaction between science and technology finance and green development: Based on coupling coordination degree model and panel vector autoregression model

Towards unlocking the chain of sustainable development in the BRICS economies: Analysing the role of economic complexity and financial risk

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Exploring the nexuses of disintegrated energy consumption, structural change, and financial development on environmental sustainability in BRICS: Modulating roles of green innovations and regulatory quality

Cited by 42 publications

References 32 publications

Effect of green bonds, oil prices, and COVID-19 on industrial CO2 emissions in the USA: Evidence from novel wavelet local multiple correlation approach

Effect of green bonds, oil prices, and COVID-19 on industrial CO2 emissions in the USA: Evidence from novel wavelet local multiple correlation approach

Coupling and interaction between science and technology finance and green development: Based on coupling coordination degree model and panel vector autoregression model

Towards unlocking the chain of sustainable development in the BRICS economies: Analysing the role of economic complexity and financial risk

Contact Info

Product

Resources

About

Effect of green bonds, oil prices, and COVID-19 on industrial CO₂ emissions in the USA: Evidence from novel wavelet local multiple correlation approach

Effect of green bonds, oil prices, and COVID-19 on industrial CO₂ emissions in the USA: Evidence from novel wavelet local multiple correlation approach