Beyond the environmental Kuznets Curve in E7 economies: Accounting for the combined impacts of institutional quality and renewables

Bekun, Festus Vıctor; Gyamfi, Bright Akwasi; Onifade, Stephen Taiwo; Agboola, Mary Oluwatoyin

doi:10.1016/j.jclepro.2021.127924

Cited by 226 publications

(66 citation statements)

References 67 publications

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“…Studies relating to the nexus of environmental quality with energy use, fossil fuel consumption, and renewable energy use have been on the increase in recent times (Shahbaz et al 2020a;Alola and Ozturk 2021;Onifade et al 2021a;Sadik-Zada and Ferrari 2020;Alola and Joshua 2020;Bekun et al 2021b;Onifade et al 2021b). Some of the studies in the growing literature have focused on China as a sample country (Hao et al 2015;Sarkodie et al 2020;Xia and Wang 2020;Shahbaz et al 2020b;Li et al 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

Examining the dynamics of ecological footprint in China with spectral Granger causality and quantile-on-quantile approaches

Alola

Adebayo

Onifade

2021

International Journal of Sustainable Development & World Ec

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154

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With 2.5 global hectares (gha) per capita against 2.7 gha per capita, China's ecological footprint is desirably below the world's average ecological footprint per capita. Undesirably, the country's per person ecological footprint outweighs the world's average biocapacity per person of 1.7 gha, thus signifying an enormous pressure on the country's ecological capacity. This reason accounts for the motivation to explore the dynamics of ecological footprint for China over the period 1971-2016 by employing a series of empirical techniques that include quantile-onquantile regression (QQR), spectral Granger causality (SGC), and quantile regression. Indicatively, the empirical findings are in folds. First, from the QQR, economic growth exerts a positive effect on (i) ecological footprint especially in the middle quantile (0.4-0.7) and (ii) all quantiles (0.01-0.95) of economic growth. Second, both fossil fuel and primary energy utilization exert a positive impact on (i) all quantiles (0.01-0.95) of ecological footprint and (ii) all quantiles (0.01-0.95) of the two energy profiles. Third, it is surprising to see renewable energy utilization exerting a positive effect on ecological footprint at the lower tail (0.1-0.40) and on renewable energy use at the higher tail (0.70-0.95). Additionally, the SGC result revealed Granger causality from primary energy use and economic growth to the ecological footprint in the long-run without reverse. Additionally, without reverse, there is a Granger causality from renewable energy use to the ecological footprint in the short-, medium-, and long-term. Importantly, the overall policy implication suggests a more drastic decoupling of the country's growth from the supply side (ecological pressure and environmental deprivation).

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Section: Literature Reviewmentioning

confidence: 99%

Examining the dynamics of ecological footprint in China with spectral Granger causality and quantile-on-quantile approaches

Alola

Adebayo

Onifade

2021

International Journal of Sustainable Development & World Ec

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154

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“…In addition, certain studies are related to regional and industry-based heterogeneity and spatial spillovers (Zhang et al, 2016;Liu and Liu, 2019). Despite various studies explored the effect of urbanization on CO 2 emissions and the mechanism to achieve the coordination of economic growth and carbon mitigation (Bekun et al, 2019;Bekun et al, 2021a), two limitations continue to restrict our understanding of sustainable development. First, the mechanism of the effect of land urbanization on CO 2 emissions reduction has not yet been thoroughly explored, which limits the possibility to achieve a win-win situation of economic development and carbon mitigation through land use optimization and industrial structure adjustment.…”

Section: Introductionmentioning

confidence: 99%

How Does Land Urbanization Promote CO2 Emissions Reduction? Evidence From Chinese Prefectural-Level Cities

Tang

2021

Front. Environ. Sci.

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The process of land urbanization may result in a great change in land use structure, land use intensity, and efficiency, which could further lead to an increase in carbon dioxide (CO2) emissions. Despite rich literature on the link between urbanization and CO2 emissions, the mechanism through which land urbanization promotes CO2 emissions reductions has not been fully investigated. To address this gap, this study theoretically and empirically explores the mechanism of land urbanization’s influence on CO2 emissions by integrating land use optimization and high-quality industrial development into a unified framework. Firstly, the theoretical mechanism analysis indicates that low-level industrial development and land use management promote the increase of CO2 emissions per unit of land at the extensive land use stage; however, high-quality industrial development and land use optimization lower CO2 emissions per unit of land at the intensive land use stage. Subsequently, a STIRPAT model and a spatial adaptive semi-parametric model are employed to verify the relationship between the land urbanization rate and total CO2 emissions. The results indicate that the land urbanization rate and total CO2 emissions present an inverted U-shaped relationship. In addition, the mediating mechanism of the advanced industrial structure, CO2 emissions per unit of GDP, and CO2 emissions per unit of land, are studied using the mediating effect model. Results indicate that CO2 emissions reduction can be achieved by promoting the advanced industrial structure, reducing CO2 emissions per unit of GDP or reducing CO2 emissions per unit of land. Ultimately, this study showed that the Chinese government may reduce CO2 emissions by promoting land use structure optimization, land use intensity regulation, land use efficiency improvement, and adjusting energy consumption structure, upgrading industrial structure, and promoting emission efficiency technologies.

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“…While both financial development and renewable energy show a negative relationship with CO 2 emissions, fossil fuel has a positive relationship with emissions Bekun et al ( 2021a ) EU-27 Countries 1990–2017 Cointegration test technique and Granger causality The findings confirm the correctness of the EKC hypothesis for EU-27 countries. Environmental quality is based on GDP growth Bekun et al ( 2021b ) E7 Countries 1995–2016 Panel causality analysis The results confirm the EKC hypothesis for E7 countries. The study emphasizes the importance of economic expansion in the quality of the environment Aziz et al ( 2021 ) MINT Countries 1995–2018 Moments Quantile Regression The findings confirm the EKC curve between economic growth and carbon emissions for these countries Isik et al ( 2021a , b , c ) 8 OECD Countries 1962–2015 Fixed-effect regression model The empirical findings support the EKC hypothesis for 4 out of 8 countries of the model with an undecomposed series of GDP per capita Ahmad et al ( 2021 ) 31 Chinese provinces 2004–2017 STIRPAT model The intensity of non-renewable energy use with economic development is found to be inverted U-shaped Isik et al ( 2021a , b , c ) 50 US States 1990–2017 Armey curve model The results show that it has the ability to test the EKC hypothesis for 7 US states Adebayo et al ( 2021 ) MINT Countries 1990–2018 Moments quantile regression …”

Section: Appendixmentioning

confidence: 54%

Validation of the environmental Kuznets curve hypothesis and role of carbon emission policies in the case of Russian Federation

Kilinc‐Ata

Likhachev

2022

Environ Sci Pollut Res

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Climate change currently observed and expected in the future is associated with risks to security and sustainable development and natural and irreversible consequences. To minimize these risks, it is necessary to adapt the public administration, economic sectors, and regional infrastructure to the changing climate conditions. This paper discovers the links between CO 2 emissions and their key determinants such as economic growth, energy consumption, population, trade openness, and financial development including the period from 1990 to 2020 to test the environmental Kuznets curve (EKC) hypothesis by using ARDL bound test for the Russian Federation. Findings reveal that energy consumption and population have a positive impact on CO 2 emissions, while economic growth, financial development, and trade openness have been found to decrease CO 2 emissions in the long term. The results of this paper show that there is a “U”-shaped relationship between CO 2 emissions and economic growth in the Russian Federation. This shows that EKC is valid up to a certain income level in the Russian Federation, and when this income level is exceeded, a positive relationship will begin between economic growth and environmental degradation. As a policy implementation, policymakers must implement clean energy technology policies to achieve the 2060 net zero carbon target. Policies such as fossil-based energy use and reducing energy intensity should be adopted.

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Beyond the environmental Kuznets Curve in E7 economies: Accounting for the combined impacts of institutional quality and renewables

Cited by 226 publications

References 67 publications

Examining the dynamics of ecological footprint in China with spectral Granger causality and quantile-on-quantile approaches

Examining the dynamics of ecological footprint in China with spectral Granger causality and quantile-on-quantile approaches

How Does Land Urbanization Promote CO2 Emissions Reduction? Evidence From Chinese Prefectural-Level Cities

Validation of the environmental Kuznets curve hypothesis and role of carbon emission policies in the case of Russian Federation

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