Forecasting 2030 CO
            <sub>2</sub>
            reduction targets for Russia as a major emitter using different estimation scenarios

Gurbanov, Sarvar; Mikayilov, Jeyhun I.; Mukhtarov, Shahriyar; Yagubov, Sakit

doi:10.1080/15140326.2022.2146861

Journal of Applied Economics

2023

DOI: 10.1080/15140326.2022.2146861

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Forecasting 2030 CO ₂ reduction targets for Russia as a major emitter using different estimation scenarios

Sarvar Gurbanov

Jeyhun I. Mikayilov

Shahriyar Mukhtarov

et al.

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Cited by 5 publications

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Leveraging the trend analysis for modeling of the greenhouse gas emissions associated with coal combustion

Karakurt,

Avci,

Aydin

2024

Environ Sci Pollut Res

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In this paper, it is aimed, for the first time, at deriving simple models, leveraging the trend analysis in order to estimate the future greenhouse gas emissions associated with coal combustion. Due to the expectations of becoming the center of global economic development in the future, BRICS-T (Brazil, the Russian Federation, India, China, South Africa, and Turkiye) countries are adopted as cases in the study. Following the models’ derivation, their statistical validations and estimating accuracies are also tested through various metrics. In addition, the future greenhouse gas emissions associated with coal combustion are estimated by the derived models. The results demonstrate that the derived models can be successfully used as a tool for estimating the greenhouse gas emissions associated with coal combustions with accuracy ranges from at least 90% to almost 98%. Moreover, the estimating results show that the total amount of greenhouse gas emissions associated with coal combustions in the relevant countries and in the world will increase to 14 BtCO2eq and 19 BtCO2eq by 2035, with an annual growth of 2.39% and 1.71%, respectively. In summary, the current study’s findings affirm the usefulness of trend analysis in deriving models to estimate greenhouse gas emissions associated with coal combustion.

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Leveraging the trend analysis for modeling of the greenhouse gas emissions associated with coal combustion

Karakurt,

Avci,

Aydin

2024

Environ Sci Pollut Res

View full text Add to dashboard Cite

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Unlocking the potential of CO2 hydrogenation into valuable products using noble metal catalysts: A comprehensive review

Tawalbeh

Javed

Al‐Othman

et al. 2023

Environmental Technology & Innovation

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Investigation of the effect of natural resource dependence on environmental sustainability under the novel load capacity curve hypothesis

Caglar,

Avci,

Daştan

et al. 2023

International Journal of Sustainable Development & World Ec

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Forecasting 2030 CO ₂ reduction targets for Russia as a major emitter using different estimation scenarios

Cited by 5 publications

References 54 publications

Leveraging the trend analysis for modeling of the greenhouse gas emissions associated with coal combustion

Leveraging the trend analysis for modeling of the greenhouse gas emissions associated with coal combustion

Unlocking the potential of CO2 hydrogenation into valuable products using noble metal catalysts: A comprehensive review

Investigation of the effect of natural resource dependence on environmental sustainability under the novel load capacity curve hypothesis

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Product

Resources

About

Forecasting 2030 CO 2 reduction targets for Russia as a major emitter using different estimation scenarios

Cited by 5 publications

References 54 publications

Leveraging the trend analysis for modeling of the greenhouse gas emissions associated with coal combustion

Leveraging the trend analysis for modeling of the greenhouse gas emissions associated with coal combustion

Unlocking the potential of CO2 hydrogenation into valuable products using noble metal catalysts: A comprehensive review

Investigation of the effect of natural resource dependence on environmental sustainability under the novel load capacity curve hypothesis

Contact Info

Product

Resources

About

Forecasting 2030 CO ₂ reduction targets for Russia as a major emitter using different estimation scenarios