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

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

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.


Author(s):  
Cengiz Aytun ◽  
Cemil Serhat Akın ◽  
Neşe Algan

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.


2019 ◽  
pp. 252-268 ◽  
Author(s):  
H. Dkhili ◽  
L. B. Dhiab

This paper summarizes the arguments and counterarguments within the scientific discussion on the issue the Management of Environmental Performance and the Carbon Dioxide Emissions (CO2) on the Economic Growth, with an innovative study in the context of the GCC countries. The main goal of the paper is to examine empirically the environmental Kuznets curve hypothesis for the GCC countries. The methodological tool of this contribution tries to measure the effect of the emission of the CO2 on the Growth Economic and environmental performance. The main purpose of the research is focused on the empirical approach justified by the use of a dynamic panel modeling on a sample of the GCC countries during the period of 2002-2018. Systematization literary sources and approaches for solving the problem of the reaction of the development of the Environmental Performance with the level of the the Carbon Dioxide Emissions (CO2) and the economic growth. The study employed a GMM model system. Subsequently, the authors displayed a Panel Co-integration test of Pedroni (2004), the Kao Residual Co-integration test (1999), and the Granger causality tests. The results found unidirectional causal relationships between economic growth and the entire variable of the sample, except the variable CO2 emission. These relationships are statistically significant at the level of 5%. For the relation between Economic Growth and CO2 emission, one the hypothesis of the paper was checking a non-significant and unidirectional relationship. The results showed a long-run unidirectional causality between the variables and implied that Economic Growth in the GCC countries has a positive and significant unidirectional relation with Environment Performance, trade openness, foreign direct investment, and investment. The results confirm the existence of a negative relationship as insignificant, and unidirectional, between economic growth and CO2 emissions in the GCC countries. Finally, this finding doesn’t support the validity of the EKC hypothesis and provide information's to take the necessary policy suggestions to maintain the environmental performance and limit the average of the CO2 emissions. The results of the research can be useful for the GCC countries to avoid the higher level of Carbon Dioxide Emissions (CO2) and maintain a good Environmental Performance. Keywords: environmental performance, Environmental Kuznets Curve, CO2 emissions.


2022 ◽  
Vol 4 (1) ◽  
pp. 76-92
Author(s):  
Peña, Elij Maridaine S ◽  
Jon Salvador Reyes ◽  
Gonzalez, Andrew N.

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.  


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3144
Author(s):  
Anh-Tu Nguyen ◽  
Shih-Hao Lu ◽  
Phuc Thanh Thien Nguyen

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.


Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3956 ◽  
Author(s):  
Elkhan Richard Sadik-Zada ◽  
Wilhelm Loewenstein

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.


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.


Sign in / Sign up

Export Citation Format

Share Document