scholarly journals The Nexus between Environmental Degradation, Income and Energy Consumption in Emerging Countries

2016 ◽  
Author(s):  
Cengiz Aytun ◽  
Cemil Serhat Akın ◽  
Neşe Algan
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Environmental Pollution ◽  
Environmental Degradation ◽  
Emerging Economies ◽  
Carbon Dioxide Emissions ◽  
Environmental Kuznets Curve ◽  
Estimation Methods ◽  
Kuznets Curve ◽  
Environmental Kuznets Curve Hypothesis

Today, especially in developing countries, environmental pollution threatens human life. Environmental quality is one of the most important sources of human welfare. Therefore, it is becoming increasingly important to understand the relationship between environmental degradation, income and energy consumption. The aim of this study is to investigate the nature of relationships among the carbon dioxide emissions, economic growth and energy consumption for emerging economies. For this purpose, Environmental Kuznets Curve hypothesis have been tested for 10 emerging economies for the years from 1980 to 2010. Data were brought together from the World Bank development indicators database. In order to test of Environmental Kuznets Curve hypothesis IPS panel unit root, Pedroni panel cointegration and FMOLS estimation methods are used. Results indicate that energy consumption has a positive and significant effect on carbon dioxide emissions. Results indicate that energy consumption has a positive and significant effect on carbon dioxide emissions. The findings also show that per capita GDP follows an inverted U-shape pattern associated with the Environmental Kuznets Curve hypothesis. This situation validates the policies which assert that environmental pollution decreases with income growth.

Economic Growth And Carbon Dioxide Emissions: The Environmental Kuznets Curve Hypothesis In Yemen

2021 ◽  
Vol 2021 (68) ◽  
pp. 42-58
Author(s):  
Essa Alhannom ◽  
Ghaleb Mushabab
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Dioxide Emissions ◽  
Environmental Kuznets Curve ◽  
Trade Openness ◽  
Kuznets Curve ◽  
Per Capita ◽  
Environmental Kuznets Curve Hypothesis

Abstract This study investigates the validity of the Environmental Kuznets Curve hypothesis in Yemen and the causal relationships between Carbon dioxide emissions, per capita income, energy consumption, trade openness, and industrial share to GDP. ARDL bounds testing approach to cointegration, Error Correction Model, and Toda-Yamamoto procedure to Granger causality techniques were employed on annual data covering the period from 1990 to 2010. long run relationship between CO2 emissions and its determinants with significant effects for per capita GDP and trade openness, whereas, energy consumption and trade openness appear to be important determinants of CO2 emissions in the short run. Besides, based on Narayan and Narayan (2010) approach, it is found that the EKC hypothesis does not hold in Yemen and therefore the effect of per capita income on CO2 emissions is monotonically increasing. Toda-Yamamoto causality test proved the existence of bidirectional causal relationships between economic growth and CO2 emissions, between energy consumption and economic growth, and between trade openness and energy consumption

scholarly journals Assessment on the Applicability of Environmental Kuznets Curve Hypothesis on the Macroeconomic Factors Driving Carbon Dioxide Emissions in the Philippines

2022 ◽  
Vol 4 (1) ◽  
pp. 76-92
Author(s):  
Peña, Elij Maridaine S ◽  
Jon Salvador Reyes ◽  
Gonzalez, Andrew N.
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Environmental Kuznets Curve ◽  
The Philippines ◽  
Empirical Literature ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Long Run ◽  
Per Capita ◽  
Environmental Kuznets Curve Hypothesis

Since there is a lack of empirical literature in the Philippines that focuses on studying the validity of the Environmental Kuznets Curve Hypothesis, this study aims to build on succeeding studies testing the validity of the EKC hypothesis in the country. In the current study, we empirically investigate the long-run relationship between the annual Philippine Carbon Dioxide (CO2) emissions as the proxy variable for Environmental Degradation, Gross Domestic Product per capita, net inflows of Foreign Direct Investment, Renewable Energy per capita, specifically for the period of 1981 - 2019. This paper also observed the Johansen Cointegration results in critically assessing whether the variables were conclusive to test in the long-run measure. For that reason, we investigated the validity of the EKC hypothesis by utilizing the ARDL long bound approach. Thus, our results revealed that a long-run relationship exists, but interestingly, the Environmental Kuznets Curve Hypothesis does not exist in the Philippines.  

scholarly journals Validating and Forecasting Carbon Emissions in the Framework of the Environmental Kuznets Curve: The Case of Vietnam

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3144
Author(s):  
Anh-Tu Nguyen ◽  
Shih-Hao Lu ◽  
Phuc Thanh Thien Nguyen
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Carbon Dioxide Emissions ◽  
Environmental Kuznets Curve ◽  
Back Propagation ◽  
Kuznets Curve ◽  
Causality Test ◽  
Distributed Lag ◽  
Long Run

This paper examines the environmental Kuznets curve (EKC) in Vietnam between 1977 and 2019. Using the autoregressive distributed lag (ARDL) approach, we find an inverted N-shaped relation between economic growth and carbon dioxide emissions in both the long- and short-run. The econometric results also reveal that energy consumption and urbanization statistically positively impact pollution. The long-run Granger causality test shows a unidirectional causality from energy consumption and economic growth to pollution while there is no causal relationship between energy consumption and economic growth. These suggest some crucial policies for curtailing emissions without harming economic development. In the second step, we also employed the back-propagation neural networks (BPN) to compare the work of econometrics in carbon dioxide emissions forecasting. A 5-4-1 multi-layer perceptron with BPN and learning rate was set at 0.1, which outperforms the ARDL’s outputs. Our findings suggest the potential application of machine learning to notably improve the econometric method’s forecasting results in the literature.

scholarly journals Drivers of CO2-Emissions in Fossil Fuel Abundant Settings: (Pooled) Mean Group and Nonparametric Panel Analyses

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3956 ◽  
Author(s):  
Elkhan Richard Sadik-Zada ◽  
Wilhelm Loewenstein
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Environmental Kuznets Curve ◽  
Fixed Effects ◽  
Fossil Fuel ◽  
Substantial Reduction ◽  
Resource Curse ◽  
Time Interval ◽  
Kuznets Curve ◽  
Per Capita

The present inquiry addresses the income-environment relationship in oil-producing countries and scrutinizes the further drivers of atmospheric pollution in the respective settings. The existing literature that tests the environmental Kuznets curve hypothesis within the framework of the black-box approaches provides only a bird’s-eye perspective on the long-run income-environment relationship. The aspiration behind this study is making the first step toward the disentanglement of the sources of carbon dioxide emissions, which could be employed in the pollution mitigation policies of this group of countries. Based on the combination of two strands of literature, the environmental Kuznets curve conjecture and the resource curse, the paper at hand proposes an augmented theoretical framework of this inquiry. To approach the research questions empirically, the study employs advanced panel cointegration techniques. To avoid econometric misspecification, the study also employs for the first time a nonparametric time-varying coefficient panel data estimator with fixed effects (NPFE) for the dataset of 37 oil-producing countries in the time interval spanning between 1989 and 2019. The empirical analysis identifies the level of per capita income, the magnitude of oil rents, the share of fossil fuel-based electricity generation in the energy mix, and the share of the manufacturing sector in GDP as essential drivers of carbon dioxide emissions in the oil-rich countries. Tertiarization, on the contrary, leads to a substantial reduction of emissions. Another striking result of this study is that level of political rights and civil liberties are negatively associated with per capita carbon emissions in this group of countries. Furthermore, the study decisively rejects an inverted U-shaped income-emission relationship and validates the monotonically or exponentially increasing impact of average income on carbon dioxide emissions.

Technology Innovation Based on Environmental Kuznets Curve Hypothesis

2012 ◽  
Vol 573-574 ◽  
pp. 831-835 ◽  
Author(s):  
Yu Wei He ◽  
Jin Rong Jiang
Keyword(s):  
Energy Consumption ◽  
Environmental Kuznets Curve ◽  
Technology Innovation ◽  
Added Value ◽  
Kuznets Curve ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Environmental Kuznets Curve Hypothesis ◽  
The Relationship ◽  
Carbon Economy

Low-carbon economy was an inevitable choice in response to climate warming. With the deep analysis of the environmental Kuznets curve (EKC), this paper used two models to analyze the relationship between the growth of a country’s economic and the quantity of pollutants produced in the process. The empirical study compare the two groups of samples, which described energy consumption per unit of industrial added value, each group contains five symbolic provinces or municipalities in coastal and western areas. The outcome proved the positive significance of technology innovation.

scholarly journals Testing the Environmental Kuznets Curve Hypothesis for Turkey: The Role of Clean Energy Consumption and Ecological Footprint

2020 ◽  
Author(s):  
Suleyman Yurtkuran
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Capita Income ◽  
Environmental Kuznets Curve ◽  
Ecological Footprint ◽  
Clean Energy ◽  
Kuznets Curve ◽  
Per Capita ◽  
Environmental Kuznets Curve Hypothesis

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.

scholarly journals Interrelationships Among Carbon Emission, Economic Growth, Energy Consumption and Foreign Direct Investment in Eurasian Countries

2021 ◽  
Author(s):  
Özge Yüksel
Keyword(s):  
Foreign Direct Investment ◽  
Energy Consumption ◽  
Unit Root ◽  
Environmental Kuznets Curve ◽  
Direct Investment ◽  
Carbon Emission ◽  
Carbon Dioxide Emission ◽  
Kuznets Curve ◽  
Environmental Kuznets Curve Hypothesis ◽  
The Impact

The main aim of this study is to empirically investigate the impact of energy consumption and foreign direct investments on carbon emissions and the validity of the Environmental Kuznets Curve hypothesis in Eurasian countries over the period of 1993-2013. In this context, firstly cross-section dependency and homogeneity tests were applied for the the panel. The existence of unit root was investigated by one of the second-generation unit root test CIPS. The cointegration relationship between the variables was investigated with the Gengenbach, Urbain ve Westerlund panel cointegration test and finally, the causality relationship was examined using the Dumitrescu and Hurlin causality test. Empirical results indicate that there is no cointegraion between carbon dioxide emission representing environmental pollution and other variables. Also, it was concluded that the inverted U-shaped Environmental Kuznets curve hypothesis is not valid. There is a bidirectional causality between carbon emission and GDP, the square of GDP, energy consumption and foreign direct investment.

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