私人交通排放的社会人口维度

Q4 Economics, Econometrics and Finance Economics and Policy of Energy and the Environment Pub Date : 2020-11-01 DOI:10.3280/efe2020-001002
G. Besagni, M. Borgarello
{"title":"私人交通排放的社会人口维度","authors":"G. Besagni, M. Borgarello","doi":"10.3280/efe2020-001002","DOIUrl":null,"url":null,"abstract":"It is known that the transportation sector accounts for a considerable share of the emissions and the primary energy consumption of the countries as a whole, thus determining an increas-ing attention towards the decarbonisation pathways of the transportation sectors. The energy consumption at the country-scale can be interpreted as the integral of the socio-demographic layer and the behavior spectrum. Thus, ad-hoc policy schemes need to rely on multi-scale ap-proaches, describing the household-scale and, subsequently, scaling-up towards the country-scale. In this long-term aim and perspective, the present communication contributes to the ex-isting discussion regarding relationships between the household/socio-demographic character-istics and the transportation patterns. In particular, focusing on the Italian case study, this communication explores the relationships between the household/socio-demographic variables and the carbon dioxide emissions related to the private transportation sector. To this end, this paper build on micro-data obtained by the Italian Institute of statistics and it applies a four-step statistical method to select suitable variables, explore the significant determinants and perform an household segmentation. It is found that the geographic area (in terms of the macro-scale as well as the micro-scale geographic locations) as well as income-related variables are likely to be factors influencing the carbon dioxide emissions related to the private transportation sector.","PeriodicalId":38445,"journal":{"name":"Economics and Policy of Energy and the Environment","volume":"1 1","pages":"13-24"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The socio-demographic dimensions of the private transportation emissions\",\"authors\":\"G. Besagni, M. Borgarello\",\"doi\":\"10.3280/efe2020-001002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is known that the transportation sector accounts for a considerable share of the emissions and the primary energy consumption of the countries as a whole, thus determining an increas-ing attention towards the decarbonisation pathways of the transportation sectors. The energy consumption at the country-scale can be interpreted as the integral of the socio-demographic layer and the behavior spectrum. Thus, ad-hoc policy schemes need to rely on multi-scale ap-proaches, describing the household-scale and, subsequently, scaling-up towards the country-scale. In this long-term aim and perspective, the present communication contributes to the ex-isting discussion regarding relationships between the household/socio-demographic character-istics and the transportation patterns. In particular, focusing on the Italian case study, this communication explores the relationships between the household/socio-demographic variables and the carbon dioxide emissions related to the private transportation sector. To this end, this paper build on micro-data obtained by the Italian Institute of statistics and it applies a four-step statistical method to select suitable variables, explore the significant determinants and perform an household segmentation. It is found that the geographic area (in terms of the macro-scale as well as the micro-scale geographic locations) as well as income-related variables are likely to be factors influencing the carbon dioxide emissions related to the private transportation sector.\",\"PeriodicalId\":38445,\"journal\":{\"name\":\"Economics and Policy of Energy and the Environment\",\"volume\":\"1 1\",\"pages\":\"13-24\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Economics and Policy of Energy and the Environment\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3280/efe2020-001002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Economics, Econometrics and Finance\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economics and Policy of Energy and the Environment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3280/efe2020-001002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 0

摘要

众所周知,运输部门在整个国家的排放量和一次能源消耗中占相当大的份额,因此决定了人们越来越关注运输部门的脱碳途径。国家层面的能源消耗可以解释为社会人口层面和行为谱的组成部分。因此,特设政策计划需要依赖于多尺度的方法,描述家庭规模,然后向国家规模扩大。在这一长期目标和观点中,目前的交流有助于现有的关于家庭/社会人口特征和交通模式之间关系的讨论。特别是,本文以意大利的案例研究为重点,探讨了家庭/社会人口变量与私营交通部门二氧化碳排放量之间的关系。为此,本文以意大利统计研究所获得的微观数据为基础,采用四步统计方法选择合适的变量,探索重要的决定因素,并进行家庭细分。研究发现,地理区域(宏观和微观地理位置)以及与收入相关的变量可能是影响私营运输部门二氧化碳排放的因素。
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
The socio-demographic dimensions of the private transportation emissions
It is known that the transportation sector accounts for a considerable share of the emissions and the primary energy consumption of the countries as a whole, thus determining an increas-ing attention towards the decarbonisation pathways of the transportation sectors. The energy consumption at the country-scale can be interpreted as the integral of the socio-demographic layer and the behavior spectrum. Thus, ad-hoc policy schemes need to rely on multi-scale ap-proaches, describing the household-scale and, subsequently, scaling-up towards the country-scale. In this long-term aim and perspective, the present communication contributes to the ex-isting discussion regarding relationships between the household/socio-demographic character-istics and the transportation patterns. In particular, focusing on the Italian case study, this communication explores the relationships between the household/socio-demographic variables and the carbon dioxide emissions related to the private transportation sector. To this end, this paper build on micro-data obtained by the Italian Institute of statistics and it applies a four-step statistical method to select suitable variables, explore the significant determinants and perform an household segmentation. It is found that the geographic area (in terms of the macro-scale as well as the micro-scale geographic locations) as well as income-related variables are likely to be factors influencing the carbon dioxide emissions related to the private transportation sector.
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
Economics and Policy of Energy and the Environment
Economics and Policy of Energy and the Environment Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
0.50
自引率
0.00%
发文量
8
期刊最新文献
An assessment of the Iberian Exception to control electricity prices Mapping the empirical relationship between environmental performance and social preferences: Evidence from macro data Public perception of residential solar energy in Minnesota's urban areas Strategy for the implementation of sustainable green fuels in Indonesia Is reuse always better than recycling? A critical analysis of the proposed European Regulation on Packaging and Packaging Waste and a debunking of its Impact Assessment study
×
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