scholarly journals Relationships among carbon emissions, economic growth, energy consumption and population growth: Testing Environmental Kuznets Curve hypothesis for Brazil, China, India and Indonesia

2016 ◽  
Vol 70 ◽  
pp. 466-479 ◽  
Author(s):  
Md. Mahmudul Alam ◽  
Md. Wahid Murad ◽  
Abu Hanifa Md. Noman ◽  
Ilhan Ozturk
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.


2022 ◽  
pp. 200-215
Author(s):  
Nurcan Kilinc-Ata

The presented study analyzes the asymmetry effect of research and development (R&D) expenditures, population growth, energy consumption, and economic growth on carbon emissions in the sample of Turkey for the period 1990-2020. Nonlinear ARDL is used to control the asymmetry of the variables. Linear ARDL is used to control the long-term and short-term relationships between the variables. The findings show that there is a symmetrical or linear relationship between the variables of R&D expenditures, population growth, energy consumption, economic growth, and carbon emissions. The findings display that economic growth and R&D are effective in reducing carbon emissions, while energy consumption seems to increase carbon emissions. Interestingly, the population was found to be effective in reducing carbon emissions in the study. In order for Turkey to reach its 2050 target, it is necessary to give priority to environmental regulations and policies.


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


2012 ◽  
Vol 573-574 ◽  
pp. 831-835 ◽  
Author(s):  
Yu Wei He ◽  
Jin Rong Jiang

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.


2021 ◽  
Author(s):  
Özge Yüksel

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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