Economic Growth, Energy Consumption and Carbon Emissions in China: A Cointegration Analysis

2013 ◽  
Vol 291-294 ◽  
pp. 1616-1619 ◽  
Author(s):  
Qun Wei Wang ◽  
Cheng Ling Cai ◽  
Dan Lu
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Cointegration Analysis ◽  
Policy Implications ◽  
Causality Test ◽  
Distributed Lag ◽  
Long Run ◽  
Growth Energy

This paper studies the relationships between economic growth, energy consumption and carbon dioxide emissions using an autoregressive distributed lag (ARDL) procedure and Engle-Granger causality test in China over the period 1965-2011. The empirical results show that GDP, energy and carbon emissions have appeared to be cointegrated. Moreover, there exists unidirectional causality from energy consumption to economic growth and carbon emissions to economic growth in short run. It has also been found that energy consumption and carbon emissions promote economic growth in long run. Some policy implications have been proposed finally.

Economic growth, carbon dioxide emissions and energy consumption in Algeria: a wavelet coherence approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sidi Mohammed Chekouri ◽  
Abderrahim Chibi ◽  
Mohamed Benbouziane
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Power Spectrum ◽  
Carbon Dioxide Emissions ◽  
Wavelet Coherence ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Growth Energy

PurposeThe world is nowadays facing major environmental damage and climate change everywhere. Carbon dioxide emissions are major causes of such change. It is in this respect that the current study provides a fresh insight into the dynamic nexus between energy consumption (EC), economic growth (EG) and CO2 emissions in Algeria, as it is considered as one of the top CO2 emitters in Africa.Design/methodology/approachThe authors use the wavelet approaches and Breitung and Candelon (2006) causality test to gauge the association between EC, EG and CO2 emissions over the period 1971–2018. Specifically, this study implements the wavelet power spectrum (WPS) to identify the power and variability of each variable at different time scales. The wavelet coherence, phase differences and partial wavelet coherence are also used to assess the co-movement and lead lag relationship between economic growth, energy consumption and CO2 emissions over different time scale. Finally, Breitung and Candelon (2006) causality test is used to find the causality among variables.FindingsThe wavelet power spectrum results indicate that economic growth, energy consumption and CO2 emissions share common strong variance in the medium and long run. Furthermore, the wavelet coherence results suggest that there is a significant co-movement between EG and CO2 emissions, and EG is the leading variable for CO2 emissions and EC. The results also unveil that both EG and EC cause CO2 emissions both in short and long run. The results suggest that Algeria should take suitable measures towards the promotion of renewable energy sources.Originality/valueThe present empirical study filled the literature gap of applying the wavelet approach and frequency domain spectral causality test to examine this relevant issue for Algeria.

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.

Tourism, economic growth, energy consumption, and CO2 emissions in China

2020 ◽  
pp. 135481662091845 ◽  
Author(s):  
Jiekuan Zhang ◽  
Yan Zhang
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Granger Causality ◽  
Policy Implications ◽  
Long Run ◽  
Cointegration Tests ◽  
Short Run ◽  
Vecm Granger Causality ◽  
Growth Energy

In this article, we for the first time applied the vector error correction model (VECM) Granger causality approach to investigate the short-run and long-run causal relationships among tourism, economic growth, energy consumption, and carbon dioxide (CO2) emissions for 30 Chinese provinces over the period 2000–2017. The results implied that the analyzed variables became stationary at their first differences. The panel cointegration tests indicated the presence of a long-term equilibrium relationship among these four analyzed variables. Results from the VECM Granger causality tests suggested that the bidirectional short-term causalities were statistically confirmed between gross domestic product (GDP) and tourism. Additionally, we found that some unidirectional short-run causalities existed running from energy consumption to other analyzed variables and bidirectional long-run causalities existed between CO2 emissions and GDP, CO2 emissions and tourism, and GDP and tourism. Moreover, we also found the existence of unidirectional long-term causalities running from energy consumption to other analyzed variables. Based on these findings, we highlighted some key policy implications to develop China’s sustainable tourism.

scholarly journals Energy Consumption and Economic Growth: Further Evidence from Taiwan

2017 ◽  
Vol 9 (7) ◽  
pp. 165
Author(s):  
Chung-Wei Kao ◽  
Jer-Yuh Wan
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Energy Use ◽  
Threshold Model ◽  
Policy Implications ◽  
Economic Activities ◽  
Causality Test ◽  
Long Run ◽  
The Business Cycle

This paper investigates the nonlinear relationship between energy consumption and GDP in Taiwan. By applying the method of Gonzalo and Pitarakis (2006), we consider the possibility of significant threshold effects within the long-run relationship between the two variables, where the effect is trigged by changes in the phase of the business cycle. The Granger-causality test in a threshold model indicates the relationship between energy consumption and GDP is regime-dependent. A bidirectional relationship between these two variables is observed in the contractionary regime, implying that energy serves as an engine of economic growth and that reductions in energy use will have adverse effects on economic activities. On the other hand, a unidirectional causality running from GDP to energy consumption is detected in the expansionary regime. It indicates energy conservation is feasible in this regime with little or no detrimental effects on economic growth. The policy implications are that energy use and economic growth are jointly reinforcing each other during recessionary periods. However, in periods of high economic growth when energy consumption cannot bring about economic growth, energy conservation policies should be adopted with more aggressive thinking.

scholarly journals The Dynamic Relationship among Economic Growth, Energy Consumption and Environment in Iran

2015 ◽  
Vol 50 ◽  
pp. 118-128
Author(s):  
Hamid Amadeh ◽  
Parisa Kafi
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Carbon Dioxide Emissions ◽  
Time Series Data ◽  
Series Data ◽  
Long Run ◽  
Integration Test ◽  
The Government ◽  
Growth Energy

In recent decades, environmental risks and hazards are more visible. These damages caused by a combination of factors such as population growth, economic growth, energy, and industrial activities. This study discusses long-run equilibrium relationship, short-term dynamic relationships and causal relationships between energy consumption, economic growth and the environment (carbon dioxide emissions) in Iran, by using time series data during 1971-2009, through Co integration test. Co integration test demonstrates that a long-run relationship exists among the three variables. It is obvious that carbon dioxide emissions will be increased by positive shock of energy consumption and economic growth, by a one percent increase in energy consumption and economic growth, carbon dioxide emissions will increase 55 and 43 percent respectively. The result of this study is important because of reducing carbon dioxide emissions from energy use and economic development matters. In other words, to reduce carbon dioxide emissions, the government should reduce the amount of Petroleum products in energy consumption, and it also improves the efficiency of using energy.

scholarly journals Petroleum Consumption and Financial Development in Malaysia

2016 ◽  
Author(s):  
Jen-Eem Chen ◽  
Yan-Ling Tan ◽  
Chin-Yu Lee ◽  
Lim-Thye Goh
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Granger Causality ◽  
Financial Development ◽  
Granger Causality Test ◽  
Financial Sector ◽  
Causality Test ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run

This paper aims to contribute to the existing literature by examining the dynamic relationship among petroleum consumption, financial development, economic growth and energy price. The sample of this study is based on the Malaysian annual data from 1980 to 2010. The model specification was examined in the Autoregressive Distributed Lag (ARDL) framework and the results revealed the existence of a long-run equilibrium. The findings indicated that financial development and economic growth cause a demand for energy to escalate in the long run. The Toda-Yamamoto (TYDL) non Granger-causality test provides evidence that there is unidirectional Granger-causality running from financial development and economic growth to energy consumption in the long run. This suggests that Malaysia is not an energy-dependent country. Hence, the government could implement energy conservation policies to reduce the waste of energy use. Given that development in the financial sector, and economic growth increase petroleum consumption in Malaysia, the policies pertaining to energy consumption should incorporate the development of the financial sector and economic growth of country.   Keywords: Petroleum consumption, financial development, non-renewable energy, Autoregressive Distributed Lag (ARDL), Toda-Yamamoto (TYDL) non Granger-causality test

Interactions among Infrastructure, Trade Openness, Foreign Direct Investments and Economic Growth in India

2021 ◽  
Vol 13 (1) ◽  
pp. 21-43
Author(s):  
Rahul Sarania
Keyword(s):  
Economic Growth ◽  
Trade Openness ◽  
Policy Implications ◽  
Foreign Direct Investments ◽  
Infrastructure Development ◽  
Bounds Testing ◽  
Causality Test ◽  
Distributed Lag ◽  
Long Run ◽  
Composite Indices

This study examines the dynamic interrelationships among infrastructure, trade openness, foreign direct investments (FDI), economic growth, fixed capital formation, labour and inflation rate in the context of India for the period 1970 to 2018 through the application of Toda–Yamamoto (TY) causality test and the auto-regressive distributed lag (ARDL) bounds testing approach to cointegration to offer policy implications of the effectiveness of these important macroeconomic determinants in the short and long-run. This article developed two composite indices, namely, infrastructure development index (INFI) and trade openness index (TOI) and used to see the effectiveness of infrastructure indicators and trade openness on economic growth along with other variables of interest. Results suggest a strong causal short and long run interrelationship among infrastructure, FDIs, trade openness and economic growth during 1970–2018. In the long run, a bi-directional relationship exists between INFI and GDP, suggesting that India should expedite construction of adequate and expanded infrastructure facilities in the economy and among others things, frame its policy in a more liberalised manner for various sectors including infrastructure with a view to attracting more FDI inflows and making more openness to trade and globalisation within the environment of ease of doing business that would help to sustain higher economic growth for long period, accomplishing the goal of US$5 trillion economy by 2024–25. JEL Classification:H54, O1, H4, O4, P33, L9, C32

scholarly journals Energy Consumption and Economic Growth Nexus in China: Autoregressive Distributed Lag (ARDL)

2020 ◽  
Vol 10 (2) ◽  
pp. 194
Author(s):  
Wan-Lin Yong ◽  
Jerome Kueh ◽  
Yong Sze Wei ◽  
Jang-Haw Tiang
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Sustainable Growth ◽  
Total Export ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run

This paper intends to investigate the nexus between energy consumption, carbon dioxide emission, total export and economic growth of China from 1971 to 2014. This study adopted Autoregressive Distributed Lag (ARDL) bounds test to examine the existence of short-run and long-run relationships among the variables. Empirical findings indicated that energy consumption contribute to economic growth while carbon dioxide emission is impeding the growth. There is a positive long-run relationship between both energy consumption and total export with economic growth of China. However, a negative relationship is observed between carbon dioxide emissions and economic growth. Hence, in terms of policy recommendation, policymakers can implement a balance environment-economic policy; reduce the carbon dioxide emission by imposing carbon tax; promote renewable energy among the industries and households and promoting reserves forest policy is needed for aspiration of sustainable growth for both environmental and economic.

A heterogeneous analysis of the nexus between energy consumption, economic growth and carbon emissions: Evidence from the Group of Twenty (G20) countries

2020 ◽  
pp. 014459872098019
Author(s):  
Kaodui Li ◽  
Enhua Hu ◽  
Chenchen Xu ◽  
Mohammed Musah ◽  
Yusheng Kong ◽  
...  
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Emissions ◽  
Foreign Direct Investments ◽  
Causality Test ◽  
Panel Causality ◽  
Conservation Policies ◽  
Regression Estimators ◽  
Growth Energy

The purpose of this study was to examine the nexus amid economic growth, energy consumption and carbon emissions in G20 countries for the period 1992 to 2014. In order to obtain valid and reliable outcomes, more robust econometric techniques were employed. From the results, the studied panel was heterogeneous and cross-sectionally dependent. Also, the series of observed variables were first-differenced stationary and co-integrated. The key findings from the CCEMG and the AMG regression estimators adopted showed that economic growth and energy consumption promoted the emission of carbon in the countries. In addition, urbanization and foreign direct investments as control variables escalated the rate of the countries’ CO2 emissions. From the discoveries of the Dumitrescu and Hurlin panel causality test, a feedback causality between economic growth and CO2 emissions; energy consumption and CO2 emissions; and between urbanization and CO2 emissions were correspondingly unveiled. Howerver, a one-way caual link was evidenced from foreign direct investments to CO2 emissions. This exploration is vital because it will propel the countries to formulate policies that could help them to minimize their dependence on environmentally unfriendly energy sources, while promoting the usage of clean energies like solar, wind, biogas, biomass and hydropower among others. The study is also pertinent because it will aid the countries to plan, organize and implement environmental policies in compliance to their macroeconomic objectives. When this is accomplished, energy conservation policies implemented to minimize the emanation of CO2 will improve the countries’ economic growth.

scholarly journals Investigating the Asymmetric Effect of Economic Growth on Environmental Quality in the Next 11 Countries

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 491
Author(s):  
Gideon Kwaku Minua Ampofo ◽  
Jinhua Cheng ◽  
Edwin Twum Ayimadu ◽  
Daniel Akwasi Asante
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
South Korea ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Policy Implications ◽  
Asymmetric Effect ◽  
Long Run ◽  
Short Run ◽  
Asymmetric Causality

This study investigates the asymmetric cointegration and causal relationships between economic growth, carbon emissions, and energy consumption in the next eleven (11) countries over the period 1972–2013. The nonlinear autoregressive distributed lag (NARDL) bounds testing approach and nonpragmatic Granger causality tests are employed. This research’s empirical results have entrenched vital relationships that have significant policy implications. We affirm nonlinear cointegration among the variables in Bangladesh, Iran, Turkey, and Vietnam. The long-run asymmetric effect outcomes indicate a definite boom in economic growth, significantly increases carbon emission in Turkey, and a decline in Vietnam. Additionally, a positive shock to energy consumption significantly increases the carbon emission in Bangladesh, Iran, and Turkey, but a decrease in emissions in Vietnam. Findings from the Wald test reveal a long-run asymmetric effect between carbon emission and economic growth in Bangladesh, Iran, and Vietnam, and for Iran, an asymmetric short-run impact. Long-run and short-run asymmetric effects between carbon emission and energy consumption in Bangladesh and Iran. In terms of asymmetric causality results, bidirectional causality between carbon emission and economic growth was noted in Bangladesh and Turkey, and a unidirectional causality from economic growth to carbon emission in Egypt and South Korea. Energy consumption causes carbon emission in Bangladesh, Egypt, Pakistan, South Korea, and not vice versa. We determined a bidirectional asymmetric causality relationship between carbon emission and energy consumption in Vietnam and a unidirectional causality link from carbon emissions to Turkey’s energy consumption.

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