scholarly journals Does income inequality matter for CO2 emissions in Russian regions?

Equilibrium ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. 533-551
Author(s):  
Natalia Davidson ◽  
Oleg Mariev ◽  
Sophia Turkanova

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.

2019 ◽  
Vol 1 (3) ◽  
pp. 71
Author(s):  
Muhammad Fajri Setia Trianto ◽  
Evi Yulia Purwanti

The economy that continues to grow has the impact of environmental damage. This study aims to prove empirically the Environmental Kuznets Curve (EKC) hypothesis by analyzing the relationship of economic growth with environmental damage as measured by GDP per capita, and CO2 emissions. The data used are secondary data in the form of data on GDP per capita, CO2 emissions, population growth, inflation, and control of corruption in 10 countries in the ASEAN region in 2002-2016. Data analysis using the Fixed Effect model. The results show that there is a relationship between economic growth and environmental damage that forms an inverted U curve. Economic growth will initially have a positive effect on environmental damage so that at a point of economic growth negatively affects environmental damage. By adding control variables: population growth, inflation and corruption, inflation and corruption positively impact environmental damage, while population negatively affect environmental damage.


Author(s):  
Sakshi Gambhir

The relationship between economic growth and environmental quality has been much under dispute. According to the EKC (Environmental Kuznets Curve) hypothesis, environmental damage increases in the early stages of economic growth, but diminishes once nations reach higher levels of income. While the notion EKC is well established, there is controversy about its shape, incidence and determinants. In this paper, we model EKC with the variables of GDP and CO2 emissions (aggregate and per capita) using alternative model specifications to bridge the gap between conventional and modern EKC literature. We also place the theoretical construct of EKC into a policy-oriented framework by incorporating the impact of four global policy periods namely, liberalisation, globalisation, world recovery and global financial crisis. We substantiate a cubic form of EKC in the Indian context for the time period 1991 to 2014. With aggregate CO2 emissions as the dependent variable, the linear, quadratic and cubic terms are all significant with the expected signs, which confirm an N-shaped EKC for India. Even with per capita emissions as the dependent variable, existence of an N-shaped EKC is established. In this case however, evidence on the cubic term is rather weak which points towards the difference in socio-psychological factors that influence the revival of upturn in the case of India. The policy period analysis does not show any distinct results, which could be due to contradictory effects on different variables and volatility in these variables.


2020 ◽  
Vol 12 (21) ◽  
pp. 9117 ◽  
Author(s):  
Nutnaree Maneejuk ◽  
Sutthipat Ratchakom ◽  
Paravee Maneejuk ◽  
Woraphon Yamaka

This study aims to examine the relationship between economic development and environmental degradation based on the Environmental Kuznets Curve (EKC) hypothesis. The level of CO2 emissions is used as the indicator of environmental damage to determine whether or not greater economic growth can lower environmental degradation under the EKC hypothesis. The investigation was performed on eight major international economic communities covering 44 countries across the world. The relationship between economic growth and environmental condition was estimated using the kink regression model, which identifies the turning point of the change in the relationship. The findings indicate that the EKC hypothesis is valid in only three out of the eight international economic communities, namely the European Union (EU), Organization for Economic Co-operation and Development (OECD), and Group of Seven (G7). In addition, interesting results were obtained from the inclusion of four other control variables into the estimation model for groups of countries to explain the impact on environmental quality. Financial development (FIN), the industrial sector (IND), and urbanization (URB) were found to lead to increasing CO2 emissions, while renewable energies (RNE) appeared to reduce the environmental degradation. In addition, when we further investigated the existence of the EKC hypothesis in an individual country, the results showed that the EKC hypothesis is valid in only 9 out of the 44 individual countries.


2014 ◽  
Vol 623 ◽  
pp. 310-316
Author(s):  
Yan Zhang ◽  
Chang Wang

This article simply reviewed the carbon emission situation in Hebei province from 1996 to 2011, and tried to use environmental Kuznets curve to analysis the impact of the economic growth of CO2 emissions on the energy consumption. The regression results show that CO2 emissions and economic growth in line with the environmental Kuznets curve inverted U-shaped, but it is in the left hemisphere of the curve, namely, as the growth of the economy, the CO2 emissions will continue to increase, so the carbon emission reduction work in Hebei province is still very heavy, we should change the energy consumption situation actively in the environment, adjust the industrial structure, develop new technology vigorously, and promote the innovation of emission reduction.


2021 ◽  
Vol 13 (4) ◽  
pp. 1780
Author(s):  
Chima M. Menyelim ◽  
Abiola A. Babajide ◽  
Alexander E. Omankhanlen ◽  
Benjamin I. Ehikioya

This study evaluates the relevance of inclusive financial access in moderating the effect of income inequality on economic growth in 48 countries in Sub-Saharan Africa (SSA) for the period 1995 to 2017. The findings using the Generalised Method of Moments (sys-GMM) technique show that inclusive financial access contributes to reducing inequality in the short run, contrary to the Kuznets curve. The result reveals a negative effect of financial access on the relationship between income inequality and economic growth. There is a positive net effect of inclusive financial access in moderating the impact of income inequality on economic growth. Given the need to achieve the Sustainable Development Targets in the sub-region, policymakers and other stakeholders of the economy must design policies and programmes that would enhance access to financial services as an essential mechanism to reduce income disparity and enhance sustainable economic growth.


Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3415
Author(s):  
Bartosz Jóźwik ◽  
Antonina-Victoria Gavryshkiv ◽  
Phouphet Kyophilavong ◽  
Lech Euzebiusz Gruszecki

The rapid economic growth observed in Central European countries in the last thirty years has been the result of profound political changes and economic liberalization. This growth is partly connected with reducing carbon dioxide (CO2) emissions. However, the problem of CO2 emissions seems to remain unresolved. The aim of this paper is to test whether the Environmental Kuznets Curve (EKC) hypothesis holds true for Central European countries in an annual sample data that covers 1995–2016 in most countries. We examine cointegration by applying the Autoregressive Distributed Lag bound testing. This is the first study examining the relationship between CO2 emissions and economic growth in individual Central European countries from a long-run perspective, which allows the results to be compared. We confirmed the cointegration, but our estimates confirmed the EKC hypothesis only in Poland. It should also be noted that in all nine countries, energy consumption leads to increased CO2 emissions. The long-run elasticity ranges between 1.5 in Bulgaria and 2.0 in Croatia. We observed exceptionally low long-run elasticity in Estonia (0.49). Our findings suggest that to solve the environmental degradation problem in Central Europe, it is necessary to individualize the policies implemented in the European Union.


2018 ◽  
Vol 30 (3) ◽  
pp. 444-461 ◽  
Author(s):  
Caner Demir ◽  
Raif Cergibozan ◽  
Adem Gök

The aim of the study is to investigate the impact of income inequality on environmental quality in Turkey within the Environmental Kuznets Curve framework. In order to observe the short-run and long-run effects of income inequality on environmental quality, an autoregressive distributed lag bounds test on CO2 emission has been employed for the period 1963–2011 of Turkey. The results of the analysis reveal that there is a negative association between CO2 emission level and income inequality, which implies that increasing income inequality reduces environmental degradation in Turkey. Hence, a greater inequality in the society leads to less aggregate consumption in the economy due to lower propensity to emit in the richer households resulting in better environmental quality. The findings confirm an argument in the existing literature, which suggests that for developing countries, until a certain level of development, environmental degradation increases as income inequality in the society decreases. The results also confirm the Environmental Kuznets Curve hypothesis.


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