Economy-related green-house gases emissions and validation of the environmental Kuznets curve for Sakha Republic (Yakutia)

Gavrilyeva, Tuyara; Sugimoto, Atsuko; Bochkarev, N.V.; Степанова, Н.Ю.; Nogovitcyn, Aleksandr; Семенова, Л.

doi:10.1016/j.polar.2020.100507

Cited by 9 publications

(6 citation statements)

References 8 publications

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“…This situation is not in line with the EKC and expresses a “U” link between the environment and economic growth. The same findings were obtained by Gavrilyeva et al ( 2020 ), indicating that EKC hypothesis is not acceptable for the Russian Federation. Furthermore, Rudenko and Skripnuk ( 2016 ) indicate a little evidence to support the existence of EKC for the Russian Arctic areas.…”

Section: Conclusion and Policy Implicationssupporting

confidence: 79%

“…The reduction in emissions is explained by several factors, such as changes in household consumption, the effectiveness of environmental policies, and important changes in the economy resulting from technological modernization (Gavrilyeva et al 2020 ). Therefore, the relationship between a nation’s economic development and its CO 2 emissions is regarded as empirically significant.…”

Section: Literature Reviewmentioning

confidence: 99%

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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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Section: Conclusion and Policy Implicationssupporting

confidence: 79%

Section: Literature Reviewmentioning

confidence: 99%

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

View full text Add to dashboard Cite

show abstract

“…This situation is not in line with the EKC and expresses a "U" link between the environment and economic growth. The same findings were obtained by Gavrilyeva et al (2020) indicates that EKC hypothesis is not acceptable for Russian Federation. Furthermore, Rudenko and Skripnuk (2016) ensure little evidence to support the existence of EKC for the Russian Arctic areas.…”

Section: Conclusion and Policy Implicationssupporting

confidence: 71%

“…The reduction in emissions is explained by several of factors, such as changes in household consumption, the effectiveness of environmental policies, and important changes in the economy resulting from technological modernization (Gavrilyeva et al 2020). Therefore, the relationship between a nation's economic development and its CO2 emissions is regarded as empirically significant.…”

Section: Literature Reviewmentioning

confidence: 99%

Validation of The Environmental Kuznets Curve Hypothesis And Role of Carbon Emission Policies In The Case of Russian Federation

Kilinc‐Ata

Likhachev

2022

Preprint

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Climate change currently observed and expected in the future is associated with risks to security and sustainable development as well as 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 CO2 emission and their key determinants such as economic growth, energy consumption, population, trade openness, and financial development for the Russian Federation using data from 1990 through 2020. Findings reveal that energy consumption, and population have a positive impact on CO2 emissions, while economic growth, financial development, and trade openness has been found to decrease CO2 emissions in the long term. The results of the paper show that there is a "U" shaped relationship between CO2 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.

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“…In contrast, the curvature is convex, which means higher land consumption levels for higher wealth levels. Gavrilyeva et al [10] analyze the environmental Kuznets curve hypothesis for the Republic of Sakha (Yakutia) 2013-2017. The results show that, unlike Russia, the environmental Kuznets curve model has not been confirmed for Yakutia.…”

Section: Introductionmentioning

confidence: 99%

The Ecological Footprint and Kuznets Environmental Curve in the USMCA Countries: A Method of Moments Quantile Regression Analysis

Gómez

Chávez

2020

Energies

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This article examines the environmental Kuznets curve for the member countries of the United States–Mexico–Canada Agreement (USMCA), using the ecological footprint as a measure of environmental degradation during 1980–2016. Panel data econometric methods are applied in this research, such as the cross-section dependence, unit root, cointegration and causality tests, and the new method of moments quantile regression (MMQR). The results suggest that the variables are characterized by a cross-section dependence, integrated of order one, and cointegrated. The fully modified ordinary least squares (FMOLS) method shows that renewable energy reduces environmental degradation, and the environmental Kuznets curve is validated. In contrast, patents and trade openness do not show a statistically significant relationship. These results are confirmed with the MMQR, where renewable energy reduces environmental degradation in quantiles from 4 to 6, while the environmental Kuznets curve hypothesis is valid in quantiles from 3 to 9, and patents and trade openness do not show a statistically significant relationship in any quantile. Therefore, it is essential to promote renewable energies, cleaner technologies, and environmental regulations to reduce polluting emissions.

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Economy-related green-house gases emissions and validation of the environmental Kuznets curve for Sakha Republic (Yakutia)

Cited by 9 publications

References 8 publications

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

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

Validation of The Environmental Kuznets Curve Hypothesis And Role of Carbon Emission Policies In The Case of Russian Federation

The Ecological Footprint and Kuznets Environmental Curve in the USMCA Countries: A Method of Moments Quantile Regression Analysis

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