Transformacja, wzrost gospodarczy i środowisko przyrodnicze w państwach Europy Środkowej i Wschodniej

2019 ◽  
Vol 17 (1) ◽  
pp. 179-195
Author(s):  
Lech Gruszecki ◽  
Phouphet Kyophilavong ◽  
Bartosz Jóźwik
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Environmental Kuznets Curve ◽  
Western Europe ◽  
Central And Eastern Europe ◽  
Carbon Dioxide Emission ◽  
The Other ◽  
Kuznets Curve ◽  
The Baltic

After thirty years of transformation in Central and Eastern Europe, we can see differences in the economic development of individual countries. In the paper, we decided to analyse those differences in transformation paths, economic growth and environmental degradation by carbon dioxide emission. The analysis of economic growth covers the years 1995–2017, and for the emission of carbon dioxide, the years 1995–2014. The results of the study show that the transformation in countries closer to Western Europe was faster, which contributed to faster economic growth. It is noticeable that in the following years, this economic growth in this region was stimulated by the process of European integration. What draws today’s attention is the distinctive economic growth of the Baltic States. On the other hand, carbon dioxide emissions in most countries in the region decreased in the analysed period, which has been a positive change. We are aware, however, that the presented analysis and conclusions can be treated only as an introduction to subsequent detailed studies of the environmental Kuznets curve concept.

Effects of agriculture, renewable energy, and economic growth on carbon dioxide emissions: Evidence of the environmental Kuznets curve

2020 ◽  
Vol 160 ◽  
pp. 104879 ◽  
Author(s):  
Nur Hilfa Awatif Mohamad Ridzuan ◽  
Nur Fakhzan Marwan ◽  
Norlin Khalid ◽  
Mohd Helmi Ali ◽  
Ming-Lang Tseng
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Renewable Energy ◽  
Carbon Dioxide Emissions ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve

scholarly journals Management of Environmental Performance and Impact of the Carbon Dioxide Emissions (CO2) on the Economic Growth in the GCC Countries

2019 ◽  
pp. 252-268 ◽  
Author(s):  
H. Dkhili ◽  
L. B. Dhiab
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Co2 Emissions ◽  
Environmental Performance ◽  
Carbon Dioxide Emissions ◽  
Environmental Kuznets Curve ◽  
Co2 Emission ◽  
Kuznets Curve ◽  
Gcc Countries ◽  
Integration Test

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.

scholarly journals Air Pollution Mortality in Denmark, Finland, and Sweden

2009 ◽  
pp. 97-108
Author(s):  
Ulla Lehmijoki ◽  
Elena Rovenskaya
Keyword(s):  
Economic Growth ◽  
Air Pollution ◽  
Economic Activity ◽  
Environmental Kuznets Curve ◽  
The Other ◽  
Kuznets Curve ◽  
Paper Briefly ◽  
Baltic Countries ◽  
The One ◽  
The Baltic

The adverse health consequences of air pollution are of concern currently and there is a fear that these consequences escalate along with economic growth. The effect of economic growth on air pollution deaths is analyzed in Denmark, Finland, and Sweden by applying the Environmental Kuznets Curve approach, according to which economic growth has competing effects on air pollution and related deaths. On the one hand, emissions tend to increase as the scale of economic activity increases, but on the other hand, consumers and firms in richer countries use cleaner goods and adopt cleaner technologies. In Denmark and Finland, the latter effects are stronger, while in Sweden the opposite is true. Therefore, air pollution deaths will decrease in Denmark and Finland but increase in Sweden. Since country's own emissions do not determine air pollution completely, the paper briefly analyzes emissions from the Baltic countries and Russia.

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

Environmental Kuznets Curve for Carbon Dioxide Emissions and Economic Growth in Algeria

2021 ◽  
Vol 15 (4) ◽  
pp. 418-432
Author(s):  
Mohammed Touitou ◽  
Raquel Langarita
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve ◽  
Distributed Lag ◽  
Real Gdp ◽  
Causality Tests ◽  
Auto Regressive

This article examines how economic growth affects the environment through the lens of carbon dioxide (CO2) emissions, by testing the validity of the environmental Kuznets curve (EKC) for the case of Algeria during the period 1973–2016. For this, the auto regressive distributed lag (ARDL) method is used. The results of the econometric analysis confirm the existence of a positive long-term relationship between CO2 emissions and real GDP and show that the direction of this relationship goes from economic growth to CO2 emissions according to Granger causality tests. Specifically, for a developing country like Algeria, economic growth determines the level of emissions. This implies that an energy policy in favour of the environment can be put in place without risking negative repercussions on economic growth. In addition, the results of the ARDL regression validate EKC’s hypothesis: in the first phase, economic growth leads to a higher level of CO2 emissions, however, when a given threshold (inflection point) is reached, these emissions decrease. JEL Codes: O10, O47, Q50, Q53

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.

Driving Factors Analysis of Carbon Dioxide Emissions in China Based on STIRPAT Model

2013 ◽  
Vol 734-737 ◽  
pp. 1910-1914 ◽  
Author(s):  
Qiao Zhi Zhao ◽  
Qing You Yan
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
High Speed ◽  
Carbon Dioxide Emission ◽  
Urbanization Process ◽  
Stirpat Model ◽  
Factors Analysis ◽  
Secondary Industry

China is developing at relatively high speed, not only the regional development speed should be focused upon, but also the environmental impact of economic growth should be paid attention to, especially the level change of carbon dioxide emission. To some degree, quantity of carbon dioxide emission has become one of the most important indexes for measuring quality of a nations economic growth. Thus, this thesis is trying to analyze the driving relations between economic growth and carbon dioxide. Upon STIRPAT model, ridge regression method and elasticity theory are applied to analyze the influencing factors of carbon dioxide quantity such as the population quantity, Chinas urbanization process, per capita GDP, energy density and the percentage of the secondary industry. Correspondingly, based on the different influencing variables to carbon dioxide emission quantity, needy measures are brought out to control and decrease emissions. Feasible suggestions are trying to improve Chinas economic development quality.

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