应用计划行为理论的扩展模型理解匈牙利使用可再生能源意愿的人的维度

IF 2.6 4区 经济学 Q3 BUSINESS Amfiteatru Economic Pub Date : 2023-08-01 DOI:10.24818/ea/2023/64/830
S. Nagy, L. Molnár, Noémi Hajdú
{"title":"应用计划行为理论的扩展模型理解匈牙利使用可再生能源意愿的人的维度","authors":"S. Nagy, L. Molnár, Noémi Hajdú","doi":"10.24818/ea/2023/64/830","DOIUrl":null,"url":null,"abstract":"The past year has brought drastic changes to the European energy market. With recent dramatic increases in energy prices, it is of the utmost importance that residential users significantly increase their use of renewable energy. The aim of our study is to understand the complex psychological background of the intention to use renewable energy by applying the Theory of Planned Behaviour (TPB). We extended the original TPB to include environmental concerns. To collect data, an online survey was conducted in Hungary in November 2022. Structural equation modelling (SEM) was used to analyse data from 400 residential users. The resulting model suggests that subjective norms have the greatest direct influence on intention to use renewable energy; however, attitudes formed by environmental concerns are also important influencing factors. Therefore, campaigns to promote the use of renewable energy should focus on the social acceptance of this behaviour and educate target groups about the connection between the energy problem and the challenges of climate change.","PeriodicalId":46837,"journal":{"name":"Amfiteatru Economic","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Understanding the Human Dimensions of the Intention to Use Renewable Energy in Hungary – Applying an Extended Model of Theory of Planned Behaviour\",\"authors\":\"S. Nagy, L. Molnár, Noémi Hajdú\",\"doi\":\"10.24818/ea/2023/64/830\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The past year has brought drastic changes to the European energy market. With recent dramatic increases in energy prices, it is of the utmost importance that residential users significantly increase their use of renewable energy. The aim of our study is to understand the complex psychological background of the intention to use renewable energy by applying the Theory of Planned Behaviour (TPB). We extended the original TPB to include environmental concerns. To collect data, an online survey was conducted in Hungary in November 2022. Structural equation modelling (SEM) was used to analyse data from 400 residential users. The resulting model suggests that subjective norms have the greatest direct influence on intention to use renewable energy; however, attitudes formed by environmental concerns are also important influencing factors. Therefore, campaigns to promote the use of renewable energy should focus on the social acceptance of this behaviour and educate target groups about the connection between the energy problem and the challenges of climate change.\",\"PeriodicalId\":46837,\"journal\":{\"name\":\"Amfiteatru Economic\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2023-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Amfiteatru Economic\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.24818/ea/2023/64/830\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Amfiteatru Economic","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.24818/ea/2023/64/830","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

摘要

过去的一年给欧洲能源市场带来了巨大的变化。随着最近能源价格的大幅上涨,住宅用户大幅增加可再生能源的使用至关重要。本研究的目的是通过应用计划行为理论(TPB)来了解使用可再生能源的意图的复杂心理背景。我们把原来的城规会扩展至包括环境问题。为了收集数据,2022年11月在匈牙利进行了一项在线调查。结构方程建模(SEM)用于分析来自400个住宅用户的数据。由此产生的模型表明,主观规范对使用可再生能源的意愿有最大的直接影响;然而,环境问题所形成的态度也是重要的影响因素。因此,促进使用可再生能源的运动应侧重于社会对这种行为的接受,并教育目标群体了解能源问题与气候变化挑战之间的联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Understanding the Human Dimensions of the Intention to Use Renewable Energy in Hungary – Applying an Extended Model of Theory of Planned Behaviour
The past year has brought drastic changes to the European energy market. With recent dramatic increases in energy prices, it is of the utmost importance that residential users significantly increase their use of renewable energy. The aim of our study is to understand the complex psychological background of the intention to use renewable energy by applying the Theory of Planned Behaviour (TPB). We extended the original TPB to include environmental concerns. To collect data, an online survey was conducted in Hungary in November 2022. Structural equation modelling (SEM) was used to analyse data from 400 residential users. The resulting model suggests that subjective norms have the greatest direct influence on intention to use renewable energy; however, attitudes formed by environmental concerns are also important influencing factors. Therefore, campaigns to promote the use of renewable energy should focus on the social acceptance of this behaviour and educate target groups about the connection between the energy problem and the challenges of climate change.
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
4.20
自引率
3.80%
发文量
55
审稿时长
12 weeks
期刊最新文献
Identifying Sufficient and Necessary Competencies in the Effective Use of Artificial Intelligence Technologies Exploring University Students’ Perceptions of Generative Artificial Intelligence in Education Architecture to Transform Classic Academic Courses into Adaptive Learning Flows with Artificial Intelligence A Systematic Analysis of New Approaches to Digital Economic Education Based on the Use of AI Technologies Artificial Intelligence and the Modelling of Teachers’ Competencies
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1