Impact of rainfall fluctuations and temperature variations on people movement in Sub-Saharan Africa: A Time Series Analysis of data from Somalia and Ethiopia

O. Hassan, Gurudeo Anand Tularam
{"title":"Impact of rainfall fluctuations and temperature variations on people movement in Sub-Saharan Africa: A Time Series Analysis of data from Somalia and Ethiopia","authors":"O. Hassan, Gurudeo Anand Tularam","doi":"10.36334/modsim.2017.a5.hassan","DOIUrl":null,"url":null,"abstract":"Water is highly critical for the existence of humans and other living organisms as well as for all\nsorts of life. Agriculture needs water to produce crops and manufacturing industries need it for producing\nproducts and services. Water is immensely critical for energy production and needed in the balance and\nsustainability of ecosystem. There has been a considerable rainfall variations that impacted water availability\nin Somalia and Ethiopia. Equally, temperature variations have also played a major role in the everyday life of\nSomalis and Ethiopians. Together the rainfall fluctuations and temperature variations have been attributed to\nclimate change. The effects of these issues on people movements away from rural to urban have had little\nattention in recent times. This paper addresses the impact of climate change variables on rural - urban migration\nin both Somalia and Ethiopia. More specifically, we use time series analysis to examine the interactions\nbetween the rural-urban migration, rainfall and temperature. We model the multivariate data using ARIMA\nand VAR models; this is to first conduct univariate analyses for the purpose of predictions, and secondly to\nunderstand the nature of interactions and dependencies by conducting multivariate VAR analysis. This study\ndetermines the most appropriate ARIMA models of rural migration, urban migration rainfall and temperature\nof Somalia and Ethiopia as presented in Table 2. Both ARIMA and VAR analyses have produced relatively\ngood models that are statistically significant and perform well in making short term predictions; a 10 year\nperiod of annual forecast of rural and urban migration as well as rainfall and temperature of Somalia and\nEthiopia were carried out. Then univariate and multivariate analyses have showed that climate change factors\nsuch as “rainfall” and “temperature” variations have a combined granger effect on people migration in both\nrural and urban areas in both countries; in fact temperature variations have a significant impact (5% and 10%)\non urban and rural migrations respectively. Climate change effects appear to be driving the migration from\nrural to urban. This is also compounding the international migration out of the African continent that is noted\nin Europe, Asia and even Australia.","PeriodicalId":183839,"journal":{"name":"Syme, G., Hatton MacDonald, D., Fulton, B. and Piantadosi, J. (eds) MODSIM2017, 22nd International Congress on Modelling and Simulation.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Syme, G., Hatton MacDonald, D., Fulton, B. and Piantadosi, J. (eds) MODSIM2017, 22nd International Congress on Modelling and Simulation.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36334/modsim.2017.a5.hassan","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Water is highly critical for the existence of humans and other living organisms as well as for all sorts of life. Agriculture needs water to produce crops and manufacturing industries need it for producing products and services. Water is immensely critical for energy production and needed in the balance and sustainability of ecosystem. There has been a considerable rainfall variations that impacted water availability in Somalia and Ethiopia. Equally, temperature variations have also played a major role in the everyday life of Somalis and Ethiopians. Together the rainfall fluctuations and temperature variations have been attributed to climate change. The effects of these issues on people movements away from rural to urban have had little attention in recent times. This paper addresses the impact of climate change variables on rural - urban migration in both Somalia and Ethiopia. More specifically, we use time series analysis to examine the interactions between the rural-urban migration, rainfall and temperature. We model the multivariate data using ARIMA and VAR models; this is to first conduct univariate analyses for the purpose of predictions, and secondly to understand the nature of interactions and dependencies by conducting multivariate VAR analysis. This study determines the most appropriate ARIMA models of rural migration, urban migration rainfall and temperature of Somalia and Ethiopia as presented in Table 2. Both ARIMA and VAR analyses have produced relatively good models that are statistically significant and perform well in making short term predictions; a 10 year period of annual forecast of rural and urban migration as well as rainfall and temperature of Somalia and Ethiopia were carried out. Then univariate and multivariate analyses have showed that climate change factors such as “rainfall” and “temperature” variations have a combined granger effect on people migration in both rural and urban areas in both countries; in fact temperature variations have a significant impact (5% and 10%) on urban and rural migrations respectively. Climate change effects appear to be driving the migration from rural to urban. This is also compounding the international migration out of the African continent that is noted in Europe, Asia and even Australia.
降雨波动和温度变化对撒哈拉以南非洲人口流动的影响:对索马里和埃塞俄比亚数据的时间序列分析
水对人类和其他生物以及各种生命的生存至关重要。农业需要水来生产作物,制造业需要水来生产产品和提供服务。水对能源生产至关重要,对生态系统的平衡和可持续性至关重要。在索马里和埃塞俄比亚,有相当大的降雨变化影响了水的可用性。同样,温度变化也在索马里人和埃塞俄比亚人的日常生活中发挥了重要作用。降雨波动和温度变化都归因于气候变化。这些问题对人口从农村向城市流动的影响近年来很少受到关注。本文讨论了气候变化变量对索马里和埃塞俄比亚农村-城市移民的影响。更具体地说,我们使用时间序列分析来检验城乡迁移、降雨和温度之间的相互作用。我们使用arimand和VAR模型对多变量数据建模;这首先是为了预测而进行单变量分析,其次是通过进行多变量VAR分析来了解相互作用和依赖关系的本质。本研究确定了最适合索马里和埃塞俄比亚农村移民、城市移民、降雨量和温度的ARIMA模型,如表2所示。ARIMA和VAR分析都产生了相对较好的模型,这些模型具有统计显著性,并且在进行短期预测方面表现良好;对索马里和埃塞俄比亚的农村和城市移民以及降雨量和气温进行了为期10年的年度预测。单因素和多因素分析表明,“降雨”和“温度”变化等气候变化因素对两国农村和城市人口迁移均有格兰杰联合效应;事实上,温度变化对城市和农村人口迁移分别有显著影响(5%和10%)。气候变化的影响似乎正在推动人口从农村向城市迁移。这也加剧了非洲大陆的国际移民,这在欧洲、亚洲甚至澳大利亚都没有。
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:481959085
Book学术官方微信