The impact of clean energy consumption on economic growth and CO2 emissions in BRICS countries: Does the environmental Kuznets curve exist?

2020 ◽  
pp. e2126 ◽  
Author(s):  
Mallesh Ummalla ◽  
Phanindra Goyari
2022 ◽  
Author(s):  
Arshad Ali ◽  
Magdalena Radulescu ◽  
Daniel Balsalobre Lorente ◽  
Viet-Ngu (Vincent) Hoang

Abstract This study empirically estimates the impact of clean and non-clean energy consumption on economic growth and carbon dioxide emissions within the framework of the environmental Kuznets curve and pollution haven hypothesis in the case of PIMC countries from 1980 to 2019. The results of the panel cointegration test proposed by Westerlund (2007) show a long-term equilibrium relationship among the variables of each designated model. The long-term elasticities of economic growth and carbon emission estimated by AMG, CCEMG and MG estimators indicate that both clean and non-clean energy consumption have a significant impact on economic growth, while carbon emission hinders growth. The results also reveal that economic growth, non-clean energy consumption and interaction between trade openness and non-clean energy consumption have a driving effect on carbon dioxide emission, however, clean energy consumption is found to reduce carbon emission. In addition, the analysis confirms the existence of the inverted U-shaped environmental Kuznets curve and pollution haven hypothesis in the panel of PIMC economies. Finally, there is a one-way causality from non-clean energy consumption to economic growth, but no such causation exists between clean energy consumption and economic growth. The objective of sustained economic growth with a safe environment may be achieved by encouraging clean energy consumption in the PIMC economies.


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.


2020 ◽  
Author(s):  
Suleyman Yurtkuran

Abstract This study aims to investigate the dynamic relationship between income, clean energy consumption, exports, imports, urbanization and ecological footprint for Turkey from 1973 to 2015 using the environmental Kuznets curve hypothesis. The long-term coefficients derived from the ARDL approach demonstrate that import increase the ecological footprint, whereas urbanization and clean energy consumption do not have an impact on environmental pollution in the long-term. In addition, the 2001 dummy variable is negative and statistically significant. The crisis in 2001 slowed down the economic growth rate. This situation also caused reduction of environmental pollution. Moreover, the long run estimates indicate that the EKC hypothesis is valid in Turkey. However, the turning point of per capita income was calculated as $16,045 that outside of the analyzed period. As economic activities increase, human pressure on nature continues to increase. Consequently, the only factor that reduces the ecological footprint has been determined as exports. In contrast, economic growth and clean energy consumption cannot be used as a tool to reduce the ecological footprint. Turkey needs a higher level of per capita income than the threshold level to improve environmental quality.


2020 ◽  
Vol 12 (19) ◽  
pp. 7965
Author(s):  
Oluyomi A. Osobajo ◽  
Afolabi Otitoju ◽  
Martha Ajibola Otitoju ◽  
Adekunle Oke

This study explored the effect of energy consumption and economic growth on CO2 emissions. The relationship between energy consumption, economic growth and CO2 emissions was assessed using regression analysis (the pooled OLS regression and fixed effects methods), Granger causality and panel cointegration tests. Data from 70 countries between 1994–2013 were analysed. The result of the Granger causality tests revealed that the study variables (population, capital stock and economic growth) have a bi-directional causal relationship with CO2 emissions, while energy consumption has a uni-directional relationship. Likewise, the outcome of the cointegration tests established that a long-run relationship exists among the study variables (energy consumption and economic growth) with CO2 emissions. However, the pooled OLS and fixed methods both showed that energy consumption and economic growth have a significant positive impact on CO2 emissions. Hence, this study supports the need for a global transition to a low carbon economy primarily through climate finance, which refers to local, national, or transnational financing, that may be drawn from public, private and alternative sources of financing. This will help foster large-scale investments in clean energy, that are required to significantly reduce CO2 emissions.


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.


Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 812
Author(s):  
Mariola Piłatowska ◽  
Andrzej Geise

This study explores the impact of clean energy and non-renewable energy consumption on CO2 emissions and economic growth within two phases (formative and expansion) of renewable energy diffusion for three selected countries (France, Spain, and Sweden). The vector autoregression (VAR) model is estimated on the basis of annual data disaggregated into quarterly data. The Granger causality results reveal distinctive differences in the causality patterns across countries and two phases of renewables diffusion. Clean energy consumption contributes to a decline of emissions more clearly in the expansion phase in France and Spain. However, this effect seems to be counteracted by the increases in emissions due to economic growth and non-renewable energy consumption. Therefore, clean energy consumption has not yet led to a decoupling of economic growth from emissions in France and Spain; in contrast, the findings for Sweden evidence such a decoupling due to the neutrality between economic growth and emissions. Generally, the findings show that despite the enormous growth of renewables and active mitigation policies, CO2 emissions have not substantially decreased in selected countries or globally. Focused and coordinated policy action, not only at the EU level but also globally, is urgently needed to overhaul existing fossil-fuel economies into low-carbon economies and ultimately meet the relevant climate targets.


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.


2021 ◽  
Vol 9 ◽  
Author(s):  
Muhammad Imran Khan ◽  
Muhammad Kamran Khan ◽  
Vishal Dagar ◽  
Bahareh Oryani ◽  
Syeda Saba Akbar ◽  
...  

This study intends to examine the validity of the Environmental Kuznets Curve (EKC) in the United States of America (USA), considering the vital role of macroeconomic variables, such as economic growth, institutional quality, globalization, energy consumption, financial development, urbanization, and remittance from 1985 to 2020. The impact of positive/negative shock in a regressor on CO2 emissions keeps other regressors unchanged and has been investigated using the novel dynamic stimulated autoregressive distributed lag (ARDL) model. The empirical findings revealed the positive impact of economic growth and negative impact of the square economic growth on environmental degradation in the short- and long term. It indicates the validity of the EKC hypothesis in the case of the USA. Moreover, financial development, energy consumption, globalization, remittances inflow, and urbanization reduce the environmental quality. On the contrary, institutional quality improves the environmental quality by reducing CO2 emissions. The appropriate recommendations to design the inclusive economic-environment national energy policy were proposed.


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.


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