The impact of economic growth on CO2 emissions in Azerbaijan

Mikayilov, Jeyhun I.; Galeotti, Marzio; Hasanov, Fakhri

doi:10.1016/j.jclepro.2018.06.269

Cited by 387 publications

(188 citation statements)

References 87 publications

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“…First, GDP per capita lagged by one period has a more positive effect on CO 2 emissions in the eastern and central provinces. This indicates that an increase of GDP per capita leads to more CO 2 emissions and confirms the results of Jalil and Mahmud (), Mitic, Ivanovic, and Zdravkovic (), and Mikayilov, Galeotti, and Hasanov (). CO 2 emissions lagged by one period show no effect on GDP per capita in the eastern and central provinces.…”

Section: Resultssupporting

confidence: 88%

“…Their finding also shows the existence of the EKC for CO 2 emissions. On the contrary, some scholars do not support the EKC hypothesis, such as Begum, Sohag, Abdullah, and Jaafar (), and Mikayilov, Galeotti, and Hasanov ().…”

Section: Literature Reviewmentioning

confidence: 97%

“…Many scholars have tested the EKC hypothesis. For example, Atici (2009) Begum, Sohag, Abdullah, and Jaafar (2015), and Mikayilov, Galeotti, and Hasanov (2018).…”

Section: Co 2 Emissions and Economic Growthmentioning

confidence: 99%

See 2 more Smart Citations

Causal relationships between carbon dioxide emissions and economic factors: Evidence from China

Wang

et al. 2019

Sustainable Development

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This study investigates the causal relationship between carbon dioxide (CO2) emissions and economic factors in Chinese provinces. Then, this study undertakes a comparative analysis of the eastern, central, and western provinces using a vector autoregressive model and panel data for 1997–2015. The results show there is unidirectional causality from per capita gross domestic product (GDP) to CO2 emissions in eastern and central provinces. Meanwhile, there is unidirectional causality from CO2 emissions to GDP per capita in western provinces. There is unidirectional causality between CO2 emissions to foreign direct investment in central and western provinces but no impact in eastern provinces. However, there is unidirectional causality between CO2 emissions to export volume only in eastern provinces. Based on the results, this study concludes that to reduce CO2 emissions, China should not only implement strict laws and regulations but should also advocate green investment, technological innovation, development of a circular economy, and sustainable development.

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Section: Resultssupporting

confidence: 88%

Section: Literature Reviewmentioning

confidence: 97%

See 1 more Smart Citation

Causal relationships between carbon dioxide emissions and economic factors: Evidence from China

Wang

et al. 2019

Sustainable Development

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“…However, these results disagree with the survey of Mikayilov et al. () on Azerbaijan. The squared estimate of economic growth illustrates a positive and significant influence on all environmental quality proxies.…”

Section: Resultscontrasting

confidence: 99%

The influence of green energy investments on environmental quality in OECD countries

Ganda

2018

Environmental Quality Mgmt

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This empirical study analyzes the relationship between green energy investments on environmental quality in Organisation for Economic Co‐operation and Development (OECD) countries from 2000 to 2014. Environmental quality was disaggregated into five widely known proxies: carbon emissions, greenhouse gases, carbon monoxide, sulfur oxides, and nitrogen oxides. On one hand, using the system‐Generalized Method of Moments estimator, the results of this paper demonstrate that renewable energy investments, primary energy supply, and economic growth produces negative and significant relationships with the growth of carbon emissions, greenhouse gases, carbon monoxide, sulfur oxides, and nitrogen oxides. On the other hand, the interaction term between renewable energy and primary energy supply shows positive and significant associations with all environmental quality indicators. Furthermore, the present study finds a U‐shaped relationship between environmental quality and income for carbon emissions, greenhouse gases, carbon monoxide, sulfur oxides, and nitrogen oxides, which did not completely confirm existence of the environmental Kuznets curve. Therefore, the overall findings of the paper suggest that renewable energy adoption is of prime importance in lowering the growth in the emission of harmful gases and combatting climate change, although energy patterns and processes in OECD countries must be revised to ensure that they are environmentally friendly.

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“…Employing the recently developed econometric methods, they concluded that in middle-income economies energy use and growth of industrial and service sectors positively explain CO 2 emissions. Mikayilov et al (2017) employing the ARDLBT approach to the Azerbaijani data studied the impact of economic growth, population and energy use on CO 2 emissions. The results of the study shown that, energy use and population has significant impact on CO2 emissions, while the impact of GDP found to be insignificant.…”

Section: The Impacts Of Urbanization On Environmentmentioning

confidence: 99%

Does Urbanization Boost Pollution from Transport?

Mikayilov¹,

Shukurov²,

Mukhtarov³

et al. 2017

Acta Univ. Agric. Silvic. Mendelianae Brun.

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The study examines the impacts of urbanization, energy consumption and real GDP on atmospheric pollution from automobile transport in Azerbaijan in the STIRPAT framework. Since the study uses time series variables the unit root properties of employed variables are tested for non-stationarity.Stationarity of the data is tested using conventional Augmented Dickey-Fuller test. The study employs Autoregressive Distributed Lags Bounds Testing (ARDLBT) approach to co-integration. This method is one of the most preferable approaches among alternatives in the case of small samples. Estimation results indicated that the variables are cointegrated, in another word there is a long-run relationship among them. In order to test the quality of the model residuals of the model are tested for the serial correlation, heteroskedasticity, and normality. The model is checked for model misspecification and stability. The results of all abovementioned tests are found to be adequate. The highest impact on pollution among the variables belongs to urbanization which is found to be positive and statistically significant. Energy consumption also has a positive and statistically significant impact on emission. The results also confirm that sustainable development can be reached only keeping the balance among environmental, social and economic factors. Findings of the study may be useful in making appropriate decisions in the fields of diminishing atmospheric pollution from automobile transport caused by urbanization related issues.

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The impact of economic growth on CO2 emissions in Azerbaijan

Cited by 387 publications

References 87 publications

Causal relationships between carbon dioxide emissions and economic factors: Evidence from China

Causal relationships between carbon dioxide emissions and economic factors: Evidence from China

The influence of green energy investments on environmental quality in OECD countries

Does Urbanization Boost Pollution from Transport?

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