Income inequality and CO2 emissions: Empirical evidence from Turkey

2018 ◽  
Vol 30 (3) ◽  
pp. 444-461 ◽  
Author(s):  
Caner Demir ◽  
Raif Cergibozan ◽  
Adem Gök
Keyword(s):  
Income Inequality ◽  
Environmental Degradation ◽  
Environmental Quality ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve ◽  
Aggregate Consumption ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Impact

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.

scholarly journals Analyzing the Impact of Energy, Export Variety, and FDI on Environmental Degradation in the Context of Environmental Kuznets Curve Hypothesis: A Case Study of India

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1076 ◽  
Author(s):  
Tijjani Adamu ◽  
Ihtisham Haq ◽  
Muhammad Shafiq
Keyword(s):  
Energy Consumption ◽  
Environmental Degradation ◽  
Carbon Emissions ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Long Run ◽  
Export Variety ◽  
Short Run ◽  
The Impact

The economic size of the Indian economy and its status as one of the major global emitters of carbon emissions makes the country a good place to study the determinants of environmental degradation in India. The study aims at analyzing the impact of energy, export variety, and foreign direct investment (FDI) on environmental degradation in India in the context of environmental Kuznets curve (EKC) hypothesis. The long run relationship was found between variables of the study through a cointegration test, whereas long run estimates were obtained through cointegration and dynamic ordinary least squares (DOLS). Results of the study reveal that energy consumption, export variety, FDI, and income positively contributed to environmental degradation in India. Results also unveil that the EKC hypothesis does not exist in India. Causality analyses document unidirectional causality from income and FDI to environmental degradation, and bidirectional causality was witnessed between energy consumption and environmental degradation and between export variety and environmental degradation in the long run. The long run and the short run causality highlight that India has to forego the short run economic growth in order to improve its environmental quality and reduce global carbon emissions; however, it will not affect its long term economic development process.

Does Nominal Devaluation Improve Income Distribution? Evidence from Bangladesh

2012 ◽  
Vol 19 (1) ◽  
pp. 61-77
Author(s):  
Muhammad Shahbaz ◽  
Mohammad Mafizur Rahman
Keyword(s):  
Income Inequality ◽  
Income Distribution ◽  
Trade Openness ◽  
Bounds Testing ◽  
Correction Model ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
The Impact

The article aims to investigate the impact of nominal devaluation on income distribution in Bangladesh both in short and long runs. In doing so, Auto Regressive Distributed Lag (ARDL) bounds testing has been employed for cointegration, and Error Correction Model (ECM) has been used for short-run dynamics. The empirical psychology has confirmed the existence of long-run relationship between the variables. Furthermore our estimated results reveal that nominal devaluation tends to decrease income inequality. Though economic growth appears to improve income distribution, non-linear link between both the variables, however, depicts Kuznets’ inverted-U curve (1955). Financial development causes further deterioration in income distribution. Trade openness contributes to income inequality as discussed in Leontief Paradox.

The Environmental Kuznets Curve and Effect Factors of CO2 Emissions in China: Dynamic Econometric Test Based on ARDL Model

2014 ◽  
Vol 962-965 ◽  
pp. 1670-1675 ◽  
Author(s):  
Qing Zou ◽  
Xun Chen ◽  
Jun Na Lv
Keyword(s):  
Environmental Kuznets Curve ◽  
Turning Point ◽  
Influencing Factor ◽  
Trade Openness ◽  
Kuznets Curve ◽  
Affecting Factors ◽  
Point Energy ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

For discussing the shape, turning point and influencing factors of Environmental Kuznets Curve (EKC) for Chinese CO2 emissions, by using data for 1960-2009, the dynamic relationship between income, other affecting factors and CO2 emissions was studied utilizing the Auto Regressive Distributed Lag - Error Correction Model (ARDL-ECM) and boundary test methodology. The results suggest the existence of cointegration relationship among variables and presence of an inverted-U shape relationship in both short and long-run, thus supporting the EKC hypothesis. At present China has not surpassed the curve’s turning point. Energy intensity is key influencing factor for CO2 emissions. Industry structure is positively correlated with CO2 emissions. However, trade openness has little influence on it. The short-run environmental negative effect of urbanization and long-run positive effect of population density are both significant, the regression coefficient of energy consumption structure is positive in long-run but negative in short-run.

Globalisation, Economic Growth and Income Inequality in Nigeria

2020 ◽  
Vol 14 (2) ◽  
pp. 202-212
Author(s):  
NWOSA Philip Ifeakachukwu
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Secondary Data ◽  
Vector Error Correction ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
The Impact ◽  
Financial Globalisation

This article examines the link between globalisation, economic growth and income inequality in Nigeria using annual secondary data over the period 1981–2018. Specifically, it attempts to examine the following questions: (a) What is the direction of causation among globalisation, economic growth and inequality? (b) What is the impact of globalisation and economic growth on inequality? (iii) Do trade globalisation and financial globalisation have differential impacts on inequality in Nigeria? The article used both vector error correction modelling (VECM) and auto-regressive distributed lag (ARDL) techniques. The VECM results show a unidirectional causality from inequality and globalisation to economic growth in the long run, whereas a unidirectional causation was observed from inequality to economic growth in the short run. The ARDL estimate shows that globalisation and economic growth are significant determinants of inequality in Nigeria. Furthermore, it is observed that trade and financial globalisation influenced income inequality differently. In the light of these findings, the article recommends that the foreign direct investment should be channelled towards empowering the poor, and the dividends of economic growth should be evenly distributed to reduce the income inequality gap.

The Economic Growth–Income Inequality–Poverty Nexus and Its Impact on Environmental Degradation: Empirical Evidence from India

2021 ◽  
pp. 097639962110238
Author(s):  
Geetilaxmi Mohapatra ◽  
Arun Kumar Giri
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Environmental Degradation ◽  
Poverty Reduction ◽  
Positive Impact ◽  
Universal Access ◽  
Causality Test ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

This study attempts to examine the main forces affecting short-run and long-run carbon emission patterns due to changes in economic growth, income inequality and poverty in India over the period 1982–2018. For this purpose, it uses the autoregressive distributed lag (ARDL) cointegration technique and the vector error correction model (VECM) based on Granger causality tests. The stationary properties of the variables are checked using the Ng–Perron test. The results of the ARDL bounds test confirm the long-run relationship among the variables. Further, the ARDL coefficient confirms that economic growth and poverty increase carbon emissions in both the short and long run. The empirical findings of the causality test indicate the presence of short-run causality running from economic growth and poverty reduction to environmental degradation. Hence, the study recommends that policymakers must devote more attention to alleviating poverty and reducing income inequalities through redistributing transfers, investing on universal access to health and education, implementing progressive taxation policies, empowering women and enforcing the Clean India mission, which will have a positive impact on reducing environmental degradation in India. Further, the study also recommends appropriate environmental regulations that can substantially stimulate innovations to increase energy efficiency and thereby reduce carbon dioxide (CO2) emissions.

Investigating the Presence of Environmental Kuznets Curve Hypothesis in India and China: An Autoregressive Distributive Lag Approach

2019 ◽  
Vol 8 (2) ◽  
pp. 194-210
Author(s):  
Ritu Rani ◽  
Naresh Kumar
Keyword(s):  
Economic Growth ◽  
Environmental Degradation ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve ◽  
Annual Growth Rate ◽  
Ekc Hypothesis ◽  
Causality Test ◽  
Long Run ◽  
Short Run ◽  
India And China

The Environmental Kuznets Curve (EKC) hypothesis advocates a reversed U-shaped association between different pollutants and per capita income. EKC postulates that speedy growth certainly results in environmental degradation due to glut use of natural resources and emission of pollutants. The study used carbon dioxide (CO2) emissions, economic growth, energy consumption, and the annual growth rate of population to investigate the EKC hypothesis in India and China for the period of 1971–2013. Furthermore, to explore the long-run and short-run relationship among competing variables, the autoregressive distributed lag model (ARDL) is used. Granger causality test is used to investigate the long-run and short-run causality between variables under study. The results support the EKC hypothesis in India and China, in both long-run and short-run, and inverse U-shaped association is found between CO2 emission and economic growth. Unidirectional causality seen in both countries in terms of economic growth and CO2 emissions. In addition, the coefficient of economic growth in a short-run model provides the evidence that there has been a gradual decline in environmental degradation (downward sloping of EKC) and the quality of the environment is gradually improving in China. Based on the findings, the study suggests that environmental policymakers, especially in India, should seriously address the issue of CO2 emissions as it has a tendency to move faster in the coming years.

scholarly journals Agriculture and Green Economy for Environmental Kuznets Curve Adoption in Developing Countries: Insights from Rwanda

2020 ◽  
Vol 12 (24) ◽  
pp. 10381
Author(s):  
Jean Niyigaba ◽  
Jessica Ya Sun ◽  
Daiyan Peng ◽  
Clemence Uwimbabazi
Keyword(s):  
Developing Countries ◽  
Environmental Kuznets Curve ◽  
Agricultural Sector ◽  
Developed Countries ◽  
Green Economy ◽  
Kuznets Curve ◽  
Conservation Policies ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

Development and climate change are crucial global concerns with significant contrasts between developed and developing nations. Contrary to several developing countries, Rwanda opted for a green growth policy pathway while struggling with its economic emergence through the alternative green sectors, including agriculture. No research has yet been conducted on the choice’s performance on emission sequestration or the country’s income, allowing the formulation of strategies accordingly. The environmental Kuznets curve (EKC), mostly adopted by developed countries, is applied for the Rwandese scenario to verify its adoption in developing countries. The within and between effects of the agricultural sector (AGRc) and gross domestic products (GDPc) on CO2 emission (CO2) are examined with an Autoregressive Distributed Lag (ARDL) cointegration and coupling methods in January 2008−December 2018 period. Results confirm the short-run and long-run cointegration relationships of variables, where CO2-GDPc and CO2-AGRc are relatively decoupling and absolute decoupling, respectively. The EKC adoption to CO2-GDPc relationship, and the significant negative causality from GDPc and AGRc to CO2, are confirmed. The performance resulted from the country’s environment conservation policies, and Rwanda is a learning example as a developing country. However, the green economy through the agro-economy is at a low level and should be reinforced.

scholarly journals Impact of Economic Structure on the Environmental Kuznets Curve (EKC) hypothesis in India

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Muhammed Ashiq Villanthenkodath ◽  
Mohini Gupta ◽  
Seema Saini ◽  
Malayaranjan Sahoo
Keyword(s):  
Environmental Degradation ◽  
Environmental Quality ◽  
Environmental Kuznets Curve ◽  
Economic Structure ◽  
Wald Test ◽  
Energy Structure ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Bounds Testing ◽  
The Impact

AbstractThis study aims to evaluate the impact of economic structure on the Environmental Kuznets Curve (EKC) in India. The present study deviates from the bulk of study in the literature with the incorporation of both aggregated and disaggregated measures of economic development on the environmental degradation function. For the empirical analysis, the study employed the Auto-Regressive Distributed Lag (ARDL) bounds testing approach of cointegration to analyse the long-run and short-run relationship during 1971–2014. Further, the direction of the causality is investigated through the Wald test approach. The results revealed that the conventional EKC hypothesis does not hold in India in both aggregated and disaggregated models since economic growth and its component have a U-shaped impact on the environmental quality in India. However, the effect of population on environmental quality is positive but not significant in the aggregated model. Whereas, in the disaggregated model, it is significantly affecting environmental quality. Hence, it is possible to infer that the population of the country increases, the demand for energy consumption increase tremendously, particularly consumption of fossil fuel like coal, oil, and natural gas, and is also evident from the energy structure coefficient from both models. This increase is due to the scarcity of renewable energy for meeting the needs of people. On the contrary, urbanization reduces environmental degradation, which may be due to improved living conditions in terms of efficient infrastructure and energy efficiency in the urban area leading to a negative relation between urbanization and environmental degradation.

Nigeria: Is There an Environmental Kuznets Curve for Fluorinated Gases?

2021 ◽  
Vol 4 (1) ◽  
pp. 57-71
Author(s):  
Emmanuel O. Okon
Keyword(s):  
Gross Domestic Product ◽  
Environmental Degradation ◽  
Environmental Kuznets Curve ◽  
Empirical Studies ◽  
Domestic Product ◽  
Kuznets Curve ◽  
Distributed Lag ◽  
Long Run ◽  
Per Capita ◽  
Environmental Kuznets Curve Hypothesis

Abstract The environmental Kuznets curve is a relationship between various indicators of environmental degradation and income per capita. Empirical studies have produced mixed results concerning Environmental Kuznets Curve hypothesis given the different indicators of environmental degradation used. But there has not been any validation of Environmental Kuznets Curve for powerful greenhouse gases like fluorinated gases that have a global warming effect up to 23 000 times greater than carbon dioxide (CO2), and their emissions are rising strongly. This paper aimed to test the applicability of the Environmental Kuznets Curve in Nigeria from 1970-2018 by deploying the Auto Regressive Distributed Lag methodology, the bounds test shows that there’s a long-run equilibrium relationship between Gross Domestic Product per capita, square of Gross Domestic Product per capita, alternative and nuclear energy, combustible renewable and waste, and adjusted savings: net forest depletion. Nonetheless, the results do not support the Environmental Kuznets Curve hypothesis both in the short-run and long-run and inverted U-shaped relationship was not found between fluorinated greenhouse gas emissions and growth in Nigeria. However, adopting fluorinated gas recycling and destruction processes, optimizing production to minimize emissions, and replacing these gases with alternatives are suggested for industrial users.

scholarly journals The Impact of Output Volatility on CO2 Emissions in Turkey: Testing EKC Hypothesis with Fourier Stationarity Test

2021 ◽  
Author(s):  
Murat Can Genç ◽  
Aykut Ekinci ◽  
Burchan Sakarya
Keyword(s):  
Economic Growth ◽  
Kuznets Curve ◽  
Output Volatility ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Real Gdp ◽  
Long Run ◽  
Short Run ◽  
Stationarity Test ◽  
The Impact

Abstract This study uses the environmental Kuznets curve (EKC) approach to determine the dynamic short- and long-term impacts of the volatility of economic growth (VOL) on carbon dioxide (CO2) emissions in Turkey from 1980 to 2016. The results of the Autoregressive Distributed Lag (ARDL) approach indicate that there is a long-run relationship between CO2, per capita real GDP, and VOL. The coefficients obtained from the ARDL estimation indicate that economic growth increases CO2 emissions, but VOL decreases CO2 emissions in the long run. However, the coefficients obtained from the ARDL error correction model show that VOL increases CO2 emissions in the short run. We also find that the EKC is valid in Turkey.

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