scholarly journals Carbon Emissions and Income Trajectory in Eight Heterogeneous Countries: The Role of Trade Openness, Energy Consumption and Population Dynamics

2013 ◽  
Vol 9 (2) ◽  
Author(s):  
OLUWOLE OWOYE ◽  
OLUGBENGA A. ONAFOWORA
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Trade Openness ◽  
Policy Decision ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Sample Mean ◽  
Long Run ◽  
Wide Range

This paper examines the long-run and dynamic temporal relationships between economic growth, energy consumption, population density, trade openness, and carbon dioxide    (CO2) emissions in Brazil, China, Egypt, Japan, Mexico, Nigeria, South Korea, and South Africa based on the environment Kuznets curve (EKC) hypothesis. We employ the ARDL Bounds test to cointegration and CUSUM and CUSUMSQ tests to ensure long-run cointegration and parameter stability.  The estimated results show that the inverted U-shaped EKC hypothesis holds in Japan and South Korea.  In the other six countries, the long-run relationship between economic growth and CO2 emissions follows an N-shaped trajectory and the estimated turning points are much higher than the sample mean. In addition, the results indicate that energy consumption Granger-causes both CO2 emissions and economic growth in all the countries.  An important implication of our findings is that it would be ill-advised for the policy decision makers to adopt the EKC postulate as the conceptual basis for policies favoring economic growth unconditionally. A wide range of policy initiatives that would induce increased demand for better environment quality and its sustainability should be explored in tandem with measures to spur economic growth.

scholarly journals Environmental Kuznets Curve Hypothesis on CO2 Emissions: Evidence for China

2021 ◽  
Vol 14 (3) ◽  
pp. 93
Author(s):  
Jihuan Zhang
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Environmental Kuznets Curve ◽  
Trade Openness ◽  
Co2 Reduction ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Distributed Lag ◽  
Long Run ◽  
Negative Effect

China is the largest CO2 emitter in the world, and it shared 28% of the global CO2 emissions in 2017. According to the Paris Agreement, it is estimated that China’s CO2 emissions will reach its peak by 2030. However, whether or not the CO2 emissions in China will rise again from its peak is still unknown. If the emission level continues to increase, the Chinese policymakers might have to introduce a severe CO2 reduction policy. The aim of this paper is to conduct an empirical analysis on the long-standing relationship between CO2 emissions and income while controlling energy consumption, trade openness, and urbanization. The autoregressive distributed lag (ARDL) model and the bounds test were adopted in evaluating the validity of the Environmental Kuznets Curve (EKC) hypothesis. The quantile regression was also used as an inference approach. The study reveals two major findings: first, instead of the conventional U-shaped EKC hypothesis, there is the N-shaped relationship between CO2 emissions and real gross domestic product (GDP) per capita in the long run. Second, a positive effect of energy consumption and a negative effect of urbanization on CO2 emissions, in the long run, are also estimated. Quantitatively, if energy consumption rises by 1%, then CO2 emissions will increase by 0.9% in the long run. Therefore, the findings suggest that a breakthrough, in terms of policymaking and energy innovation under China’s specific socioeconomic and political circumstances, are required for future decades.

scholarly journals Revisiting the Environmental Kuznets Curve Hypothesis: A Case of Central Europe

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3415
Author(s):  
Bartosz Jóźwik ◽  
Antonina-Victoria Gavryshkiv ◽  
Phouphet Kyophilavong ◽  
Lech Euzebiusz Gruszecki
Keyword(s):  
Economic Growth ◽  
Co2 Emissions ◽  
Central Europe ◽  
Environmental Kuznets Curve ◽  
European Countries ◽  
Kuznets Curve ◽  
The European Union ◽  
Ekc Hypothesis ◽  
Central European ◽  
Long Run

The rapid economic growth observed in Central European countries in the last thirty years has been the result of profound political changes and economic liberalization. This growth is partly connected with reducing carbon dioxide (CO2) emissions. However, the problem of CO2 emissions seems to remain unresolved. The aim of this paper is to test whether the Environmental Kuznets Curve (EKC) hypothesis holds true for Central European countries in an annual sample data that covers 1995–2016 in most countries. We examine cointegration by applying the Autoregressive Distributed Lag bound testing. This is the first study examining the relationship between CO2 emissions and economic growth in individual Central European countries from a long-run perspective, which allows the results to be compared. We confirmed the cointegration, but our estimates confirmed the EKC hypothesis only in Poland. It should also be noted that in all nine countries, energy consumption leads to increased CO2 emissions. The long-run elasticity ranges between 1.5 in Bulgaria and 2.0 in Croatia. We observed exceptionally low long-run elasticity in Estonia (0.49). Our findings suggest that to solve the environmental degradation problem in Central Europe, it is necessary to individualize the policies implemented in the European Union.

scholarly journals Energy, Emissions and the Economy: Empirical Analysis from Pakistan

2014 ◽  
Vol 53 (4II) ◽  
pp. 383-401 ◽  
Author(s):  
Muhammad Tariq Mahmood ◽  
Sadaf Shahab
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Fossil Fuels ◽  
Kuznets Curve ◽  
Bounds Testing ◽  
Long Run ◽  
Negative Impacts ◽  
Energy Emissions ◽  
Carbon Dioxide Co2

It is now an established fact that the most important environmental problem of our era is global warming.1 The rising quantity of worldwide carbon dioxide (CO2) emissions seems to be escalating this problem. As the emissions generally result from consumption of fossil fuels, decreasing energy spending seems to be the direct way of handling the emissions problem. However, because of the possible negative impacts on economic growth, cutting the energy utilisation is likely to be the “less preferred road”. Moreover, if the Environmental Kuznets Curve (EKC) hypothesis applies to the emissions and income link, economic growth by itself may become a solution to the problem of environmental degradation [Rothman and de Bruyn (1998)]. Coondoo and Dinda (2002), however, argue that both developing and developed economies must sacrifice economic growth. Still, countries may opt for different policies to fight global environmental problems, mainly depending on the type of relationship between CO2 emissions, income, and energy consumption over the long run [Soytas and Sari (2006)]. Hence, the emissions-energy-income nexus needs to be studied carefully and in detail for every economy, but more so for the developing countries. In this paper, we investigate the relationship between energy consumption, CO2 emissions and the economy in Pakistan from a long run perspective, in a multivariate framework controlling for gross fixed capital, labour and exports by employing ARDL bounds testing approach.

scholarly journals Malaysia’s Energy-Growth Nexus and Environmental Kuznets Curve Hypothesis: Empirical Analysis Using the VECM and ARDL Cointegration Techniques

2021 ◽  
Vol 8 (1) ◽  
pp. 1-27
Author(s):  
Takashi Fukuda
Keyword(s):  
Economic Growth ◽  
Co2 Emissions ◽  
Environmental Kuznets Curve ◽  
Structural Break ◽  
Trade Openness ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Energy Growth ◽  
Distributed Lag ◽  
Causality Tests

This paper investigated Malaysia’s energy-growth nexus and environmental Kuznets curve (EKC) hypothesis over the period 1971-2014 by taking the globalization variables of trade openness and foreign direct investment (FDI) and the structural break dummy of the Asian financial crisis of 1997 into estimation. To give interference, the Granger causality tests were implemented in the framework of two cointegration techniques: vector error correction model (VECM) and autoregressive distributed lag (ARDL). As per Malaysia’s energy-growth nexus, referring to different results of the two approaches, we concluded that the presence of the energy-growth nexus was statistically confirmed, but it has not been fully established yet in the country. On the other hand, both the VECM and ARDL results provided the same conclusion for Malaysia’s EKC hypothesis, that is, in the initial stage, as the higher economic growth, the less CO2 emissions, but after a threshold, the higher economic growth, the more CO2 emissions.

scholarly journals Sustainability of Energy-Induced Growth Nexus in Brazil: Do Carbon Emissions and Urbanization Matter?

2021 ◽  
Vol 13 (8) ◽  
pp. 4371 ◽  
Author(s):  
Tomiwa Sunday Adebayo ◽  
Abraham Ayobamiji Awosusi ◽  
Jamiu Adetola Odugbesan ◽  
Gbenga Daniel Akinsola ◽  
Wing-Keung Wong ◽  
...  
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Economic Performance ◽  
Trade Openness ◽  
Least Square ◽  
Wavelet Coherence ◽  
Gradual Shift ◽  
Long Run ◽  
Causality Tests

This study assesses the relationship between economic performance and environmental sustainability by taking into account the role of energy consumption, urbanization, and trade openness in Brazil by using data spanning from 1965 to 2019. The study is distinct from previously documented studies in literature in terms of scope for Brazil, where few entries have been recorded. The major objectives are to address the questions: (a) Is there a long-run connection between the variables under consideration? (b) Can CO2 emissions, trade openness, and energy consumption predict economic performance of Brazil? (c) What is the connection between economic growth and the independent variables at different frequencies and time-period? Furthermore, the study utilized dynamic ordinary least square (DOLS), fully modified ordinary least square (FMOLS), Maki Cointegration, and autoregressive distributed lag (ARDL) to capture the long-run association between the variables of interest. Also, we used the Wavelet coherence and Gradual-shift causality tests to capture the causal linkage between economic growth and the regressors. The advantage of the wavelet coherence test is that it can capture causal linkage between series at different frequencies and periods. The outcome of both Maki cointegration and ARDL bounds testing to cointegration affirms the presence of long-run interaction among the parameters of interest. Furthermore, the outcomes of the DOLS and FMOLS revealed that energy consumption, CO2 emissions, and urbanization exert positive impacts on economic growth in Brazil while there is no significant connection between trade openness and economic growth. Moreover, Gradual shift causality test outcomes disclosed that urbanization, trade openness, CO2 emissions and energy usage can predict the economic performance of Brazil. The outcomes of the wavelet coherence test give credence to the FMOLS, DOLS, and Gradual shift causality tests.

scholarly journals Is there an environmental Kuznets inverted-U shaped curve?

2018 ◽  
Vol 65 (1) ◽  
pp. 79-94 ◽  
Author(s):  
Cüneyt Kiliç ◽  
Feyza Balan
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Financial Development ◽  
Trade Openness ◽  
Institutional Quality ◽  
Ordinary Least Squares ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Cubic Polynomial ◽  
Carbon Dioxide Co2

This study examines the relationship among carbon dioxide (CO2) emissions, income, energy consumption, trade openness, financial development and institutional quality based on the environmental Kuznets curve (EKC) hypothesis in 151 countries for the period 1996-2010, using the pooled ordinary least squares methods. The results support cubic specification of the EKC hypothesis, which assumes a cubic polynomial inverted-U shaped relationship between income and environmental degradation. Other empirical results indicate that energy consumption, trade openness, financial development and institutional quality are significant variables in explaining CO2 emissions.

Does renewable energy promote green economic growth in OECD countries?

2020 ◽  
Vol 11 (4) ◽  
pp. 771-798 ◽  
Author(s):  
Dilvin Taşkın ◽  
Gülin Vardar ◽  
Berna Okan
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Trade Openness ◽  
Green Economy ◽  
Renewable Energy Consumption ◽  
Content Type ◽  
Long Run ◽  
Wide Range ◽  
The Impact

Purpose The development of green economy is of academic and policy importance to governments and policymakers worldwide. In the light of the necessity of renewable energy to sustain green economic growth, this study aims to examine the relationship between renewable energy consumption and green economic growth, controlling for the impact of trade openness for Organization for Economic Co-operation and Development countries over the period 1990-2015, within a multivariate panel data framework. Design/methodology/approach To investigate the long-run relationship between variables, panel cointegration tests are performed. Panel Granger causality based on vector error correction models is adopted to understand the short- and long-run dynamics of the data. Furthermore, ordinary least square (OLS), dynamic OLS and fully modified OLS methods are used to confirm the long-run elasticity of green growth for renewable energy consumption and trade openness. Moreover, system generalized method of moment is applied to eliminate serial correlation, heteroscedasticity and endogeneity problems. The authors used the panel Granger causality test developed by Dumitrescu and Hurlin (2012) to infer the directionality of the causal relationship, allowing for both the cross-sectional dependence and heterogeneity. Findings The results suggest that renewable energy consumption and trade openness exert positive effects on green economic growth. The results of long-run estimates of green economic growth reveal that the long-run elasticity of green economic growth for trade openness is much greater than for renewable energy consumption. The estimated results of the Dumitrescu and Hurlin (2012) test reveal bidirectional causality between green economic growth and renewable energy consumption, providing support for the feedback hypothesis. Practical implications This paper provides strong evidence of the contribution of renewable energy consumption on green economy for a wide range of countries. Despite the costs of establishing renewable energy facilities, it is evident that these facilities contribute to the green growth of an economy. Governments and public authorities should promote the consumption of renewable energy and should have a support policy to promote an active renewable energy market. Furthermore, the regulators must constitute an efficient regulatory framework to favor the renewable energy consumption. Social implications Many countries focus on increasing their GDP without taking the environmental impacts of the growth process into account. This paper shows that renewable energy consumption points to the fact that countries can still increase their economic growth with minimal damage to environment. Despite the costs of adopting renewable energy technologies, there is still room for economic growth. Originality/value This paper provides evidence on the contribution of renewable energy consumption on green economic growth for a wide range of countries. The paper focuses on the impact of renewable energy on economic growth by taking environmental degradation into consideration on a wide scale of countries.

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 Does educational attainment matter for Environmental Kuznets Curve? Evidence from aggregated and disaggregated time series data of China

2021 ◽  
Author(s):  
Yuanpei Cui ◽  
Zikun Wei ◽  
Qinglin Xue ◽  
Sidra Sohail
Keyword(s):  
Economic Growth ◽  
Co2 Emissions ◽  
Time Series Data ◽  
Series Data ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Bounds Testing ◽  
Long Run ◽  
Primary Focus ◽  
The Impact

Abstract The primary focus of this study is to evaluate the impact of various levels of education on CO2 emissions in China. Moreover, the study also tested the EKC hypothesis for different levels of education and economic development. The analysis employed disaggregate and aggregate data for education that included enrollment at primary, secondary, and tertiary levels and the average year of schooling. For empirical analysis, we employed an error correction model and bounds testing approach to cointegration. The results of the study provided some useful information both in the short and long run. All the proxies of education positively impact CO2 emissions at the initial level both in the short and long run; however, when we take the square of these variables, the effects of education on CO2 emissions become negative. Similarly, the impact of economic growth on CO2 emissions is positive in the short and long run, and the square of economic growth on CO2 emissions is negative, supporting the EKC hypothesis.

scholarly journals Energy Consumption, Income, Trading Openness, and Environmental Pollution: Testing Environmental Kuznets Curve Hypothesis

2020 ◽  
Vol 55 (1) ◽  
Author(s):  
Nguyen Van Chien
Keyword(s):  
Energy Consumption ◽  
Environmental Pollution ◽  
Co2 Emissions ◽  
Environmental Kuznets Curve ◽  
Renewable Energy Sources ◽  
Trade Openness ◽  
Energy Sources ◽  
Kuznets Curve ◽  
Long Run ◽  
Short Run

The purpose of this study is to examine the effects of energy consumption, economic growth, and trade openness on environmental pollution in a developing country, especially in the case of Vietnam. The study was conducted on the basis of time-series data collected in the period of time between the years 1990 and 2014. By a method of autoregressive distributed lag and testing the hypothesis of the environmental Kuznets curve, our result demonstrated that environmental Kuznets curve could be found in both the long run and short run. There existed an inverted U-shaped relationship between different pollutants and per capita income. Further, energy consumption could positively affect carbon dioxide (CO2) emissions in the short run, but negatively could affect CO2 emissions in the long run because of transformation from non-renewable energy sources to renewable energy sources. In addition, environmental pollution converged on its long-run equilibrium by at least 29.4% with the speed adjustment via the channel of income, energy consumption, and trade openness. In terms of trade openness, the country has a positive and significant effect on CO2 emissions in both the long run and short run.

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