Priority Model for Public-Private Partnership Investment in Energy Projects

E. Elwakil, M. Hegab
{"title":"Priority Model for Public-Private Partnership Investment in Energy Projects","authors":"E. Elwakil, M. Hegab","doi":"10.1109/SUSTECH.2018.8671372","DOIUrl":null,"url":null,"abstract":"This paper presents an analytical method to help Public Private Partnership developers and investors in the energy sector to focus on the region, country or the area that has a potential affordability to pay back the loan using Gross National Income (GNI) and electricity consumption. Projects’ Data utilized in this paper were collected from the World Bank projects. It includes GNI per capita in 2015 at minimal values for a list of countries, totaling 195 countries, and the electricity consumption. K-means and Regression Analysis techniques have been used to build four investment decision-making models. The developed models help the investors and decision makers to understand, analyze, and decide depending on the solid base using the developed models and investment groups of countries. The developed models have been validated using real data from 40 countries.","PeriodicalId":127111,"journal":{"name":"2018 IEEE Conference on Technologies for Sustainability (SusTech)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Conference on Technologies for Sustainability (SusTech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SUSTECH.2018.8671372","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper presents an analytical method to help Public Private Partnership developers and investors in the energy sector to focus on the region, country or the area that has a potential affordability to pay back the loan using Gross National Income (GNI) and electricity consumption. Projects’ Data utilized in this paper were collected from the World Bank projects. It includes GNI per capita in 2015 at minimal values for a list of countries, totaling 195 countries, and the electricity consumption. K-means and Regression Analysis techniques have been used to build four investment decision-making models. The developed models help the investors and decision makers to understand, analyze, and decide depending on the solid base using the developed models and investment groups of countries. The developed models have been validated using real data from 40 countries.
能源项目公私合作投资优先模式
本文提出了一种分析方法,以帮助能源部门的公私伙伴关系开发商和投资者将重点放在使用国民总收入(GNI)和用电量有可能偿还贷款的地区、国家或地区。本文使用的数据来自世界银行的项目。它包括了195个国家的2015年人均国民总收入的最低值,以及用电量。利用k均值和回归分析技术构建了四个投资决策模型。发达的模型利用发达的模型和国家的投资群体,帮助投资者和决策者在坚实的基础上理解、分析和决策。开发的模型已使用来自40个国家的真实数据进行了验证。
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
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