发展中国家的可再生能源、能源效率和二氧化碳排放:来自Pesaran共同相关效应模型的证据

N. Schneider
{"title":"发展中国家的可再生能源、能源效率和二氧化碳排放:来自Pesaran共同相关效应模型的证据","authors":"N. Schneider","doi":"10.2139/ssrn.3720674","DOIUrl":null,"url":null,"abstract":"While global warming has emerged as a major concern to be addressed, energy efficiency and renewable energy have been identified as two key solutions to slow it down. This study investigates the contribution of these two factors on CO2 emissions using economic growth, industrial share and population as additional variables. Extending Ozbugday and Erbas (2015)’s contribution, I focus on 27 developing and highly polluting countries over the period 1971-2017. I apply the Mean Group (MG) estimator from Pesaran and Smith (1995) and the Common Correlated Effects Mean Group (CMG) estimator from Pesaran (2006) allowing for cross-sectional dependence. Empirical findings displayed at the sample and country levels suggest that, improving energy efficiency as well as shifting from non-renewable to renewable sources of energy, reduce sharply CO2 emissions in the long-run. However, when applied on a sample of 21 advanced economies, these models provide estimates with much smaller magnitudes and significance. Overall, my results bring an in-depth discussion on the potential role of developing countries in achieving environmental targets, as well as on the key factors to reach them.","PeriodicalId":266711,"journal":{"name":"PSN: Renewable Resources & Energy (Topic)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Renewable Energy, Energy Efficiency, and CO2 emissions in Developing Countries: Evidence from the Pesaran's Common Correlated Effects Model\",\"authors\":\"N. Schneider\",\"doi\":\"10.2139/ssrn.3720674\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"While global warming has emerged as a major concern to be addressed, energy efficiency and renewable energy have been identified as two key solutions to slow it down. This study investigates the contribution of these two factors on CO2 emissions using economic growth, industrial share and population as additional variables. Extending Ozbugday and Erbas (2015)’s contribution, I focus on 27 developing and highly polluting countries over the period 1971-2017. I apply the Mean Group (MG) estimator from Pesaran and Smith (1995) and the Common Correlated Effects Mean Group (CMG) estimator from Pesaran (2006) allowing for cross-sectional dependence. Empirical findings displayed at the sample and country levels suggest that, improving energy efficiency as well as shifting from non-renewable to renewable sources of energy, reduce sharply CO2 emissions in the long-run. However, when applied on a sample of 21 advanced economies, these models provide estimates with much smaller magnitudes and significance. Overall, my results bring an in-depth discussion on the potential role of developing countries in achieving environmental targets, as well as on the key factors to reach them.\",\"PeriodicalId\":266711,\"journal\":{\"name\":\"PSN: Renewable Resources & Energy (Topic)\",\"volume\":\"104 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"PSN: Renewable Resources & Energy (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3720674\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"PSN: Renewable Resources & Energy (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3720674","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

虽然全球变暖已成为需要解决的主要问题,但能源效率和可再生能源已被确定为减缓全球变暖的两个关键解决方案。本研究以经济增长、工业份额和人口为附加变量,考察了这两个因素对二氧化碳排放的贡献。延续Ozbugday和Erbas(2015)的贡献,我将重点放在了1971-2017年期间的27个发展中国家和高污染国家。我采用了Pesaran和Smith(1995)的平均组(MG)估计量和Pesaran(2006)的共同相关效应平均组(CMG)估计量,允许横断面依赖。在样本和国家一级显示的实证结果表明,从长期来看,提高能源效率以及从不可再生能源转向可再生能源将大幅减少二氧化碳排放。然而,当应用于21个发达经济体的样本时,这些模型提供的估计值的幅度和重要性要小得多。总的来说,我的研究结果对发展中国家在实现环境目标方面的潜在作用以及实现这些目标的关键因素进行了深入的讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Renewable Energy, Energy Efficiency, and CO2 emissions in Developing Countries: Evidence from the Pesaran's Common Correlated Effects Model
While global warming has emerged as a major concern to be addressed, energy efficiency and renewable energy have been identified as two key solutions to slow it down. This study investigates the contribution of these two factors on CO2 emissions using economic growth, industrial share and population as additional variables. Extending Ozbugday and Erbas (2015)’s contribution, I focus on 27 developing and highly polluting countries over the period 1971-2017. I apply the Mean Group (MG) estimator from Pesaran and Smith (1995) and the Common Correlated Effects Mean Group (CMG) estimator from Pesaran (2006) allowing for cross-sectional dependence. Empirical findings displayed at the sample and country levels suggest that, improving energy efficiency as well as shifting from non-renewable to renewable sources of energy, reduce sharply CO2 emissions in the long-run. However, when applied on a sample of 21 advanced economies, these models provide estimates with much smaller magnitudes and significance. Overall, my results bring an in-depth discussion on the potential role of developing countries in achieving environmental targets, as well as on the key factors to reach them.
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
自引率
0.00%
发文量
0
×
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:604180095
Book学术官方微信