The environmental Kuznets curve in the case of Russia

Ketenci, Natalya

doi:10.3897/j.ruje.4.28482

Cited by 26 publications

(28 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results show that the sampled variables are cointegrated and the long-run relationship between the variables exists in the Russian case. The obtained results are in line with the results ofKetenci (2018).…”

supporting

confidence: 91%

“…Given the heterogeneity of the obtained results on the EKC hypothesis, discussed in the previous section, we aim to fill the gap by enquiring into the nature of the relationship between CO 2 emission and agriculture as a share of GDP in the EKC framework. Following methodology for the Russian case, proposed by Ketenci (2018), the basic EKC hypothesis then can be presented as follows:…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Does Agriculture Matter for Environmental Kuznets Curve in Russia: Evidence from the ARDL Bounds Tests Approach

Burakov¹

2019

AOL

View full text Add to dashboard Cite

This study explores the relationship between carbon dioxide emissions and their main determinants, which include real income and energy consumption in Russia, employing data for the period 1990-2016. The hypothesis of agriculture being an important determinant of environmental quality in Russia is also tested. For estimating the short-run and long-run relationships the ARDL bounds test approach is employed in this study. The results are consistent with the Environmental Kuznets Curve (EKC) hypothesis and show that the real income and energy consumption have a statistically significant positive impact on the carbon emission and its square has a significant negative effect on the carbon emissions both in the short-run and long-run. Agricultural sector is found to be a relatively important statistically significant determinant of carbon emission in Russia as well. The pairwise Granger causality test also reveals unidirectional causality running from agriculture to the carbon emissions.

show abstract

supporting

confidence: 91%

Section: Methodsmentioning

confidence: 99%

Does Agriculture Matter for Environmental Kuznets Curve in Russia: Evidence from the ARDL Bounds Tests Approach

Burakov¹

2019

AOL

View full text Add to dashboard Cite

show abstract

“…At the regional level, economic growth, energy intensity, energy structure, industrialization, and urbanization are found to affect CO2 emissions in the provinces of China for the period 1990-2014, based on quantile regression method (Xu, 2016). There are articles on the regions of Russia devoted to the determinants of CO2 emissions that have confirmed the EKC hypothesis (Ivanova, 2019;Ketenci, 2018;Mariev et al, 2020). Moreover, researchers found that modern technologies decrease CO2 emissions and mitigate emissions from energy consumption, while environmental policy is effective in decreasing CO2 emissions (Sohag et al, 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

“…New technologies are found to decrease CO2 emissions; moreover, if urbanization is accompanied with new technologies, it is found to decrease CO2 emissions (Mariev et al, 2020). Energy consumption, real income, education, and urbanization are significant for CO2 emissions in the Russian regions (Ketenci, 2018). Regional environmental efficiency (the ratio of commodities not based on natural resources to labor, capital, natural resources expenditures and to environmental costs) has been growing since 2003 due to the development of the services sector of the economy and the progressive closure of traditional polluting enterprises.…”

Section: Literature Reviewmentioning

confidence: 99%

Does income inequality matter for CO2 emissions in Russian regions?

Davidson

Mariev

Turkanova

2021

View full text Add to dashboard Cite

Research background: Intensive economic growth in Russian regions during recent decades has been associated with numerous environmental issues, particularly increasing CO2 emissions, as well as income inequality. To achieve sustainable development, it is necessary to resolve these issues. Purpose of the article: To shed light on the impact of income inequality on CO2 emissions based on Russian regional data covering the years 2004?2018. Methods: Gini index and decile dispersion ratio are used to measure income inequality. To study the impact of income inequality on CO2 emissions in the Russian regions, we estimate econometric models with fixed and random effects and apply GMM method. We test the hypothesis of the environmental Kuznets curve to determine the impact of economic growth on CO2 emissions. Findings & value added: The results show that CO2 emissions increase in tandem with growth in income inequality between 10% of people with the lowest income and 10% of people with the highest income. Simultaneously, CO2 emissions decrease with growth of Gini coefficient. The hypothesis of the Environmental Kuznets Curve was confirmed based on GMM method. Our findings underscore that the activities of the extraction and manufacturing sectors, as well as energy consumption, increase CO2 emissions. The chief significance of this paper is the finding that large income gap between extremely rich and extremely poor population cohorts increases CO2 emissions. This implies that economic policy aimed at reducing income inequality in Russian regions will also reduce CO2 emissions, especially if accompanied by increased use of environmentally friendly technologies. From the international perspective, our research can be extended to study other countries and regions.

show abstract

“…Following the Kuznets model, the pattern of non-linear relationships Kuznet (1955) examined the impact of the growth of the economy on the disparity of income generated by the inverted U-shaped curve of Kuznets. The model also was developed the Kuznets curve with a distinct framework-like (Balaguer & Cantavella 2018;Ketenci 2018;Ridzuan 2019;Usman et al 2019) which examined the environmental Kuznets curve pattern relationship. This method was also used by (Bazillier & Sirven 2008) to evaluate the social Kuznets curve pattern relationship.…”

Section: Introductionmentioning

confidence: 99%

Measuring the Inequality in Education: Educational Kuznets Curve

2020

JEM

View full text Add to dashboard Cite

This study aims to measure the inequality of education. The study examines the pattern in the educational Lorenz curve as a way to investigate the impact of education experience, per capita income, and poverty on educational inequality. Using Banten Province secondary data series over 1996 -2016, the unbalanced panel unit root were tested for the educational Kuznets curve. The regression results shows that the educational Kuznets curve does not exist. While we found that the educational experience reduce the educational inequality, the per capita income and poverty were not significant.

show abstract

The environmental Kuznets curve in the case of Russia

Cited by 26 publications

References 70 publications

Does Agriculture Matter for Environmental Kuznets Curve in Russia: Evidence from the ARDL Bounds Tests Approach

Does Agriculture Matter for Environmental Kuznets Curve in Russia: Evidence from the ARDL Bounds Tests Approach

Does income inequality matter for CO2 emissions in Russian regions?

Measuring the Inequality in Education: Educational Kuznets Curve

Contact Info

Product

Resources

About