Ecological and economic determinants of energy efficiency in European countries

Q3 Economics, Econometrics and Finance
Bohdan Kyshakevych, Natalia Maksyshko, Ivan Voronchak, Stepan Nastoshyn
{"title":"Ecological and economic determinants of energy efficiency in European countries","authors":"Bohdan Kyshakevych, Natalia Maksyshko, Ivan Voronchak, Stepan Nastoshyn","doi":"10.48077/scihor8.2023.140","DOIUrl":null,"url":null,"abstract":"Since economic development is often associated with an increase in greenhouse gas emissions, it is especially important to answer the question of whether it is possible to achieve sustainable economic development and improve energy efficiency at the same time, which implies a reduction in greenhouse gas emissions. The purpose of this study was to build models that can help find the environmental and economic determinants of energy efficiency in European countries. An ecological and economic determinants of energy efficiency indicators of 38 European countries were found based on panel regression models. The models were built based on statistical data characterizing the level of their economic development and consumption of diverse types of energy for 1995-2021. To obtain the necessary approximations of energy efficiency indicators, one of three types of models was used: the random effects method, the fixed effects method, or the pooled model. For this, appropriate statistical tests were used. As a result, it was found that the factors that have a statistically significant impact on the energy intensity of GDP in European countries include the intensity of carbon dioxide emissions, unemployment rate, primary energy consumption per capita, and gross electricity production per capita. The findings showed that determinants of primary energy consumption were domestic consumption of solid fossil fuels per capita, domestic natural gas consumption per capita, and primary energy consumption per capita. The study results generally confirm the modern-day thesis that economic development can be achieved while reducing greenhouse gas emissions. The monitoring of factors that have a statistically significant impact on the indicators under consideration can become an essential element of the modern energy efficiency management system of the national economies of European countries","PeriodicalId":52817,"journal":{"name":"Naukovi gorizonti","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Naukovi gorizonti","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.48077/scihor8.2023.140","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 0

Abstract

Since economic development is often associated with an increase in greenhouse gas emissions, it is especially important to answer the question of whether it is possible to achieve sustainable economic development and improve energy efficiency at the same time, which implies a reduction in greenhouse gas emissions. The purpose of this study was to build models that can help find the environmental and economic determinants of energy efficiency in European countries. An ecological and economic determinants of energy efficiency indicators of 38 European countries were found based on panel regression models. The models were built based on statistical data characterizing the level of their economic development and consumption of diverse types of energy for 1995-2021. To obtain the necessary approximations of energy efficiency indicators, one of three types of models was used: the random effects method, the fixed effects method, or the pooled model. For this, appropriate statistical tests were used. As a result, it was found that the factors that have a statistically significant impact on the energy intensity of GDP in European countries include the intensity of carbon dioxide emissions, unemployment rate, primary energy consumption per capita, and gross electricity production per capita. The findings showed that determinants of primary energy consumption were domestic consumption of solid fossil fuels per capita, domestic natural gas consumption per capita, and primary energy consumption per capita. The study results generally confirm the modern-day thesis that economic development can be achieved while reducing greenhouse gas emissions. The monitoring of factors that have a statistically significant impact on the indicators under consideration can become an essential element of the modern energy efficiency management system of the national economies of European countries
欧洲国家能源效率的生态和经济决定因素
由于经济发展往往与温室气体排放的增加联系在一起,因此回答是否有可能同时实现可持续的经济发展和提高能源效率,这意味着减少温室气体排放的问题就显得尤为重要。本研究的目的是建立模型,以帮助找到欧洲国家能源效率的环境和经济决定因素。基于面板回归模型,发现了38个欧洲国家能源效率指标的生态和经济决定因素。这些模型是根据1995-2021年中国经济发展水平和各类能源消费的统计数据建立的。为了获得所需的能效指标近似值,采用了三种模型之一:随机效应法、固定效应法和池模型。为此,使用了适当的统计检验。结果发现,对欧洲国家GDP能源强度有统计显著影响的因素包括二氧化碳排放强度、失业率、人均一次能源消费和人均总发电量。研究结果表明,一次能源消费的决定因素是人均国内固体化石燃料消费、人均国内天然气消费和人均一次能源消费。研究结果基本上证实了一个现代理论,即经济发展可以在减少温室气体排放的同时实现。监测在统计上对所审议的指标有重大影响的因素可以成为欧洲国家国民经济现代能源效率管理制度的一个基本要素
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Naukovi gorizonti
Naukovi gorizonti Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
1.50
自引率
0.00%
发文量
115
审稿时长
4 weeks
×
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