Energy use, CO<sub>2</sub> emissions and economic growth – causality on a sample of SEE countries

Obradović, Saša; Lojanica, Nemanja

doi:10.1080/1331677x.2017.1305785

Cited by 65 publications

(32 citation statements)

References 41 publications

(37 reference statements)

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“…Cointegration test shows that there is a long-run relationship between the variables in both countries. This result is similar to Bozkut and Akan (2014), Obradovic and Lojanica (2017), Oduloru and Chinedu (2009), Chebbi and Boujelbebe (2008) and few others as stated in the literature. For importing countries, empirical results show that carbon dioxide emissions affected by the energy consumption and economic growth in the short-run.…”

Section: Resultssupporting

confidence: 91%

“…Based on data from 1971-2004 for six Central American countries and found that there is a positive relationship between energy and CO 2 emissions. Obradovic and Lojanica (2017), Odularu and Chinedu (2009) and Chebbi and Boujelbebe (2008) found evidence of a long-run relationship between energy consumption and economic growth. These results are similar to Naser (2015) and Chen et al (2016).…”

Section: Literature Reviewmentioning

confidence: 99%

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Investigating the Relationship on CO2, Energy Consumption and Economic Growth: A Panel Data Approach

Nordin¹,

Sek²

2019

J. Rev. Global Econ.

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In this study, empirical analysis is conducted to reveal the relationship between three variables: energy consumption, GDP and CO2. The analysis is based on 13 oil importing countries and 11 oil exporting countries. The main objectives are (1) to reveal the long-run relationship based on three different models using second generation panel unit-root and panel cointegration tests and (2) to investigate the short-run relationship between pairs of variables using VAR Granger causality test. The panel unit root tests indicate that each variable is integrated of order one, I(1). Based on cointegration tests, the results reveal a long-run relationship in one of the models in both countries. The VAR Granger Causality shows evidence of a short-run relationship between the variables in both groups of countries.

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Section: Resultssupporting

confidence: 91%

Section: Literature Reviewmentioning

confidence: 99%

Investigating the Relationship on CO2, Energy Consumption and Economic Growth: A Panel Data Approach

Nordin¹,

Sek²

2019

J. Rev. Global Econ.

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“…Energy consumption leads to significantly increased carbon emissions. A great number of studies have sought to examine the relationship between energy use and carbon emissions while analyzing the EKC hypothesis (see Ahmad, Hengyi [9], Rahman, CAI [10], Obradović and Lojanica [11], Mohiuddin, Asumadu-Sarkodie [12], Wang, Chen [13]).…”

Section: Introductionmentioning

confidence: 99%

Evaluating the EKC Hypothesis for the BCIM-EC Member Countries under the Belt and Road Initiative

et al. 2020

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This paper attempts to examine the environmental Kuznets curve (EKC) hypothesis for the BCIM-EC (Bangladesh-China-India-Myanmar economic corridor) member countries under the Belt and Road Initiative (BRI) of China. Both time series and panel data are covered, with respect to carbon dioxide (CO 2 ) emissions, GDP per capita, energy use, and trade openness. For panel data analysis, GDP per capita and energy consumption have positive effects on CO 2 , while the effect of the quadratic term of GDP per capita is negative in the short-run. However, the short-run effects do not remain valid in the long-run, except for energy use. Therefore, the EKC hypothesis is only a short-run phenomenon in the case of the panel data framework. However, based on the Autoregressive Distributed Lag (ARDL) approach with and without structural breaks, the EKC hypothesis exists in India and China, while the EKC hypothesis holds in Bangladesh and Myanmar with regard to disregarding breaks within the short-run. The long-run estimates support the EKC hypothesis of considering and disregarding structural breaks for Bangladesh, China, and India. The findings of the Dumitrescu and Hurlin panel noncausality tests show that there is a unidirectional causality that runs from GDP per capita to carbon emission, squared GDP to carbon emission, and carbon emission to trade openness. Therefore, the BCIM-EC under the BRI should not only focus on connectivity and massive infrastructural development for securing consecutive economic growth among themselves, but also undertake a long-range policy to cope with environmental degradation and to ensure sustainable green infrastructure.

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“…Most investigators [29] revealed diverse type of linkage between environmental emanations and economic development utilizing factors like CO 2 discharge nitrous oxide and sulfur dioxide to quantify air contamination and GDP to gauge economic growth.…”

Section: Methodsmentioning

confidence: 99%

Impact of Economic Growth, Energy Use and Population Growth on Carbon Emissions in Sub-Sahara Africa

Ssali¹,

Du²,

Hongo³

et al. 2018

JESE-B

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The study examines the impact of economic growth, energy use and population growth on carbon emissions in sub Saharan Africa: Kenya, Nigeria, Botswana, Benin, Togo and Mauritius for the period of 1990-2014. The study employed unit root test, co-integration test, VECM (Vector Error Correction Model) and FMOLS (Fully Modified Ordinary Least-Square) as methodologies to model the causality and linear relationships amongst the variables. The VECM was used to identify the long-run causality and asymptotic convergence among the variables. The results reveal that an increase in energy use and population growth by 1% would cause an increase in CO 2 (Carbon Dioxide) concentration by 0.08% and 0.22% correspondingly, whereas in the long-run 1% increase of energy use increases economic output by 0.09%. As the economy grows without contributing to carbon emissions, governments should invest more in renewable energy. Governments should also come up with policies to regulate population growth and fossil energy use.

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Energy use, CO₂ emissions and economic growth – causality on a sample of SEE countries

Cited by 65 publications

References 41 publications

Investigating the Relationship on CO2, Energy Consumption and Economic Growth: A Panel Data Approach

Investigating the Relationship on CO2, Energy Consumption and Economic Growth: A Panel Data Approach

Evaluating the EKC Hypothesis for the BCIM-EC Member Countries under the Belt and Road Initiative

Impact of Economic Growth, Energy Use and Population Growth on Carbon Emissions in Sub-Sahara Africa

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Energy use, CO2 emissions and economic growth – causality on a sample of SEE countries

Cited by 65 publications

References 41 publications

Investigating the Relationship on CO2, Energy Consumption and Economic Growth: A Panel Data Approach

Investigating the Relationship on CO2, Energy Consumption and Economic Growth: A Panel Data Approach

Evaluating the EKC Hypothesis for the BCIM-EC Member Countries under the Belt and Road Initiative

Impact of Economic Growth, Energy Use and Population Growth on Carbon Emissions in Sub-Sahara Africa

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Energy use, CO₂ emissions and economic growth – causality on a sample of SEE countries