使用不同的估计情景预测俄罗斯作为主要排放国2030年的二氧化碳减排目标

IF 1.4 4区 经济学 Q3 ECONOMICS
Sarvar Gurbanov, Jeyhun I. Mikayilov, Shahriyar Mukhtarov, Sakit Yagubov
{"title":"使用不同的估计情景预测俄罗斯作为主要排放国2030年的二氧化碳减排目标","authors":"Sarvar Gurbanov, Jeyhun I. Mikayilov, Shahriyar Mukhtarov, Sakit Yagubov","doi":"10.1080/15140326.2022.2146861","DOIUrl":null,"url":null,"abstract":"ABSTRACT This study firstly analyzes the impact of energy intensities and income on CO2 emissions in Russia, applying different estimation methods to the data period from 1990 to 2020. In addition, the study forecasts CO2 emissions considering 2030 targets under different assumptions and assesses the achievability of the set target. The estimation results concluded that the GDP and fossil fuel intensities of GDP have a statistically positive impact on CO2 emissions. Also, we found that the forecasted value for 2030, for the business-as-usual case, is 1750 MtCO2, with 95% confidence interval values of 1703 MtCO2 and 1796 MtCO2. This result shows that Russia needs to undergo substantial policy interventions to achieve its targets to reduce CO2 emissions. As the fifth biggest emitter, Russia missing its emissions targets will have undesirable implications for the rest of the world. Based on the projection results, the paper discusses some potential policy interventions.","PeriodicalId":51747,"journal":{"name":"Journal of Applied Economics","volume":" 113","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2023-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Forecasting 2030 CO2 reduction targets for Russia as a major emitter using different estimation scenarios\",\"authors\":\"Sarvar Gurbanov, Jeyhun I. Mikayilov, Shahriyar Mukhtarov, Sakit Yagubov\",\"doi\":\"10.1080/15140326.2022.2146861\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT This study firstly analyzes the impact of energy intensities and income on CO2 emissions in Russia, applying different estimation methods to the data period from 1990 to 2020. In addition, the study forecasts CO2 emissions considering 2030 targets under different assumptions and assesses the achievability of the set target. The estimation results concluded that the GDP and fossil fuel intensities of GDP have a statistically positive impact on CO2 emissions. Also, we found that the forecasted value for 2030, for the business-as-usual case, is 1750 MtCO2, with 95% confidence interval values of 1703 MtCO2 and 1796 MtCO2. This result shows that Russia needs to undergo substantial policy interventions to achieve its targets to reduce CO2 emissions. As the fifth biggest emitter, Russia missing its emissions targets will have undesirable implications for the rest of the world. Based on the projection results, the paper discusses some potential policy interventions.\",\"PeriodicalId\":51747,\"journal\":{\"name\":\"Journal of Applied Economics\",\"volume\":\" 113\",\"pages\":\"\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2023-01-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Applied Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1080/15140326.2022.2146861\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1080/15140326.2022.2146861","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 1

摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forecasting 2030 CO2 reduction targets for Russia as a major emitter using different estimation scenarios
ABSTRACT This study firstly analyzes the impact of energy intensities and income on CO2 emissions in Russia, applying different estimation methods to the data period from 1990 to 2020. In addition, the study forecasts CO2 emissions considering 2030 targets under different assumptions and assesses the achievability of the set target. The estimation results concluded that the GDP and fossil fuel intensities of GDP have a statistically positive impact on CO2 emissions. Also, we found that the forecasted value for 2030, for the business-as-usual case, is 1750 MtCO2, with 95% confidence interval values of 1703 MtCO2 and 1796 MtCO2. This result shows that Russia needs to undergo substantial policy interventions to achieve its targets to reduce CO2 emissions. As the fifth biggest emitter, Russia missing its emissions targets will have undesirable implications for the rest of the world. Based on the projection results, the paper discusses some potential policy interventions.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
3.00
自引率
0.00%
发文量
57
审稿时长
40 weeks
期刊介绍: The Journal of Applied Economics publishes papers which make a significant and original contribution to applied issues in micro and macroeconomics. The primary criteria for selecting papers are quality and importance for the field. Papers based on a meaningful and well-motivated research problem that make a concrete contribution to empirical economics or applied theory, in any of its fields, are especially encouraged. The wide variety of topics that are covered in the Journal of Applied Economics include: -Industrial Organization -International Economics -Labour Economics -Finance -Money and Banking -Growth -Public Finance -Political Economy -Law and Economics -Environmental Economics
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信