Geographical factors influencing household cookstove choices in Nepal

Social sciences & humanities open Pub Date : 2025-01-01 Epub Date: 2024-12-18 DOI:10.1016/j.ssaho.2024.101253
Kyungtae Lee, Alexander Kwon
{"title":"Geographical factors influencing household cookstove choices in Nepal","authors":"Kyungtae Lee,&nbsp;Alexander Kwon","doi":"10.1016/j.ssaho.2024.101253","DOIUrl":null,"url":null,"abstract":"<div><div>Using data from the Multi-Tier Framework Survey (MTF) conducted in Nepal, we explore how geographical factors, specifically land slope and elevation, impact the adoption of LPG stoves. We employ a logit model to analyze the factors influencing households’ choices regarding LPG stove adoption and generate slope and elevation data. Overall, we find that the estimates of the average slope are robust and statistically significant, but those for the average elevation are sensitive to model specifications and smaller compared to the slope. We find that the Kathmandu region is important in the analysis, and slope and elevation have nonlinear effects. Additionally, we show that geographical factors are similarly important across different household expenditure quintile groups, except for the lowest.</div></div>","PeriodicalId":74826,"journal":{"name":"Social sciences & humanities open","volume":"11 ","pages":"Article 101253"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social sciences & humanities open","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590291124004509","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/18 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Using data from the Multi-Tier Framework Survey (MTF) conducted in Nepal, we explore how geographical factors, specifically land slope and elevation, impact the adoption of LPG stoves. We employ a logit model to analyze the factors influencing households’ choices regarding LPG stove adoption and generate slope and elevation data. Overall, we find that the estimates of the average slope are robust and statistically significant, but those for the average elevation are sensitive to model specifications and smaller compared to the slope. We find that the Kathmandu region is important in the analysis, and slope and elevation have nonlinear effects. Additionally, we show that geographical factors are similarly important across different household expenditure quintile groups, except for the lowest.
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
影响尼泊尔家庭炉灶选择的地理因素
利用在尼泊尔进行的多层框架调查(MTF)的数据,我们探讨了地理因素,特别是土地坡度和海拔,如何影响液化石油气炉的采用。我们使用logit模型来分析影响家庭选择石油气炉的因素,并生成坡度和高程数据。总体而言,我们发现平均坡度的估计是稳健且具有统计学意义的,但平均高程的估计对模型规格很敏感,并且与坡度相比较小。我们发现加德满都地区在分析中占有重要地位,坡度和高程具有非线性影响。此外,我们表明地理因素在不同的家庭支出五分之一组中同样重要,除了最低的。
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 去求助
来源期刊
Social sciences & humanities open
Social sciences & humanities open Psychology (General), Decision Sciences (General), Social Sciences (General)
CiteScore
4.20
自引率
0.00%
发文量
0
审稿时长
159 days
期刊最新文献
Inflation trajectory in Ghana from dawn to dusk a bibliometric analysis and systematic literature review Nurse workforce shortage and health system challenges in Bangladesh: A narrative review Comparative study of cultural heritage sustainability: A bibliometric analysis Mapping artificial-intelligence-driven innovation in higher education: A bibliometric review Social aspects of artificial intelligence (AI)-driven sustainability in Saudi Arabia: A systematic review with insights on labor market transformations
×
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:604180095
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