Analysis of the Relationship Between Renewable Energy and Economic Growth in Selected Developing Countries

Syzdykova, Aziza; Abubakirova, Aktolkin; Erdal, Fehmi Bugra; Saparova, Ainura; Zhetibayev, Zhanture

doi:10.32479/ijeep.10397

Cited by 11 publications

(8 citation statements)

References 28 publications

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“…On the contrary, in the long run, energy use increases carbon dioxide emissions. The relevant findings coincide with previous studies that find a positive relationship between carbon dioxide emissions and energy consumption (see among others Syzdykova et al 2020;Zakarya et al 2015;Adebayo et al 2021). However, our short-run estimates differentiate from earlier studies (Arouri et al 2012).…”

Section: Conclusion and Policy Implicationssupporting

confidence: 92%

“…A Dynamic Panel Analysis on the grounds of Generalized Methods of Moments and Arellano-Bond procedure is employed, as in the recent study of Aziza Syzdykova et al (2020). Thus, we obtain the following equation:…”

Section: Dynamic Gmm Modelsmentioning

confidence: 99%

“…where LnCO2 it represents the carbon dioxide emissions of country I at year T, LnCO2 i,t−1 indicates the carbon dioxide emissions of country I at year T − 1, while X it represents the set of variables including arguments. Furthermore, the parameters of the lagged value of the dependent variable are α and β (Syzdykova et al 2020).…”

Section: Dynamic Gmm Modelsmentioning

confidence: 99%

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International Environmental Agreements and CO2 Emissions: Fresh Evidence from 11 Polluting Countries

Oikonomou

Polemis

2021

JRFM

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This study attempts to evaluate the energy and carbon footprint within the framework of international environmental treaties and the efforts made by 11 large polluting countries to mitigate climate change. The econometric methodology accounts for the presence of cross-sectional dependence while it employs second-generation panel unit root tests and cointegrated relationships. To secure the robustness of our findings, we conduct an ARDL approach employing dynamic panel data techniques. Dynamic OLS is also applied to verify the validity of the empirical results. The empirical analysis supports that the reduction in CO2 emissions can be achieved without a slowdown in economic activity for the sample countries. The findings suggest insightful policy implications for policymakers and government officials.

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Section: Conclusion and Policy Implicationssupporting

confidence: 92%

Section: Dynamic Gmm Modelsmentioning

confidence: 99%

Section: Dynamic Gmm Modelsmentioning

confidence: 99%

See 1 more Smart Citation

International Environmental Agreements and CO2 Emissions: Fresh Evidence from 11 Polluting Countries

Oikonomou

Polemis

2021

JRFM

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“…Working with series to be stationary causes us to encounter a fake regression problem. In this case, the results of the analysis can be misleading (Syzdykova et al, 2021). Therefore, two different unit root tests were used for the series in the first stage of the analysis.…”

Section: Resultsmentioning

confidence: 99%

Analysis of the Asymmetric Relationship Between Oil Prices and Real Effective Exchange Rate in Kazakhstan

Abubakirova¹,

Kudabayeva²,

Abdulina³

et al. 2021

IJEEP

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Kazakhstan's export relies heavily on oil and other natural resources. Therefore, fluctuations in world oil prices have important consequences for Kazakhstan's economy. The effect of fluctuations in oil prices on the real exchange rate is very important for economies trying to develop other sectors as well as oil and natural gas sectors such as Kazakhstan. The purpose of this study is to examine the possible asymmetric relationships between oil prices and real effective exchange rate in Kazakhstan for the period January 2010-December 2020. For this purpose, the asymmetric causality analysis method developed by Hatemi-J and Roca (2014) was used in the study. In the study, it was studied with monthly data for the period from January 2010 to December 2020. According to the results of the study, there is a causality relationship from negative oil price shocks to negative real effective exchange rate shocks in Kazakhstan. However, what is interesting is that a causality relationship from positive shocks in oil prices to real effective exchange rate could not be found.

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“…used in the study. Misleading results are obtained when experimental analysis is performed between non-stationary series (Syzdykova et al, 2021). For this reason, Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) tests were applied to test stationarity in the study.…”

Section: Resultsmentioning

confidence: 99%

Volatility Spillovers Between Oil Prices and Stock Returns in Developing Countries

Massadikov¹

2021

IJEEP

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Risk and uncertainty have always been an important issue for investors, researchers and policymakers. Thus, the explanation of the mechanism of spreading volatility between different markets has been the focus of attention by researchers. Determining the return and volatility interaction between oil prices and stock markets will be useful not only for pricing and hedging financial assets, but also for detecting and interpreting the reflection of the problems arising in the oil industry on the country's economies. In this study, the VAR-GARCH model introduced by Ling and McAleer (2003) was used to determine the interaction between oil prices and stock markets in terms of return and volatility for developing countries (BRICS-T). The reason for choosing this model is to reveal whether the shocks and volatility in these markets have a transitional effect.

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Analysis of the Relationship Between Renewable Energy and Economic Growth in Selected Developing Countries

Cited by 11 publications

References 28 publications

International Environmental Agreements and CO2 Emissions: Fresh Evidence from 11 Polluting Countries

International Environmental Agreements and CO2 Emissions: Fresh Evidence from 11 Polluting Countries

Analysis of the Asymmetric Relationship Between Oil Prices and Real Effective Exchange Rate in Kazakhstan

Volatility Spillovers Between Oil Prices and Stock Returns in Developing Countries

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