Modelling the optimal cropping pattern to 2030 under different climate change scenarios: A study on Egypt

IF 0.4 Q4 AGRICULTURAL ECONOMICS & POLICY
N. Adly, Shereen Noiser, N. Kassem, M. Mahrous, Reham Salah
{"title":"Modelling the optimal cropping pattern to 2030 under different climate change scenarios: A study on Egypt","authors":"N. Adly, Shereen Noiser, N. Kassem, M. Mahrous, Reham Salah","doi":"10.22004/ag.econ.284987","DOIUrl":null,"url":null,"abstract":"Climate change and heat stress are expected to worsen the issue of water scarcity that is affecting the agricultural sector, among others through increased crop prices and costs, in addition to changes in yields. A crop-mix optimisation model was developed that maximises Egypt’s net revenue while lightening the impacts of climatic change throughout the study period – from 2013 to 2030. The optimal cropping pattern was obtained through iteration of the model on an annual basis using the projected values of the following variables: yield, arable land, costs, prices and consumptive water use. The model is restricted by sets of constraints concerning water and land availability. These variables were projected under different climate-change scenarios using various modelling techniques. The model improves the cropping pattern in Egypt by favouring crops that achieve high profitability while using a small amount of water for irrigation and crops that have a comparative advantage in the above-mentioned variables, while decreasing all crops that are nonprofitable, that use a large amount of water for irrigation, and that are heat intolerant. As a result, the total net revenue is expected to double at the end of the term. The system of models integrated in this study establishes a platform for decision makers to examine different strategies and policies.","PeriodicalId":45228,"journal":{"name":"African Journal of Agricultural and Resource Economics-AFJARE","volume":"13 1","pages":"224-239"},"PeriodicalIF":0.4000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"African Journal of Agricultural and Resource Economics-AFJARE","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22004/ag.econ.284987","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AGRICULTURAL ECONOMICS & POLICY","Score":null,"Total":0}
引用次数: 0

Abstract

Climate change and heat stress are expected to worsen the issue of water scarcity that is affecting the agricultural sector, among others through increased crop prices and costs, in addition to changes in yields. A crop-mix optimisation model was developed that maximises Egypt’s net revenue while lightening the impacts of climatic change throughout the study period – from 2013 to 2030. The optimal cropping pattern was obtained through iteration of the model on an annual basis using the projected values of the following variables: yield, arable land, costs, prices and consumptive water use. The model is restricted by sets of constraints concerning water and land availability. These variables were projected under different climate-change scenarios using various modelling techniques. The model improves the cropping pattern in Egypt by favouring crops that achieve high profitability while using a small amount of water for irrigation and crops that have a comparative advantage in the above-mentioned variables, while decreasing all crops that are nonprofitable, that use a large amount of water for irrigation, and that are heat intolerant. As a result, the total net revenue is expected to double at the end of the term. The system of models integrated in this study establishes a platform for decision makers to examine different strategies and policies.
不同气候变化情景下至2030年的最佳种植模式建模——以埃及为例
除产量变化外,气候变化和高温胁迫预计将使影响农业部门的水资源短缺问题恶化,其中包括农作物价格和成本的上涨。在整个研究期间(从2013年到2030年),开发了一种作物组合优化模型,使埃及的净收入最大化,同时减轻气候变化的影响。利用产量、耕地面积、成本、价格和耗水量等变量的预测值,对模型进行年度迭代,得到最优种植模式。该模型受到有关水和土地可用性的一系列约束的限制。这些变量是在不同的气候变化情景下使用各种模拟技术预估的。该模型改善了埃及的种植模式,有利于灌溉用水少、盈利高的作物和在上述变量上具有比较优势的作物,而减少了所有无利润、灌溉用水多、耐热的作物。因此,总净收入预计将在学期结束时翻一番。本研究整合的模型系统,为决策者检视不同的策略和政策建立了一个平台。
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
CiteScore
1.20
自引率
16.70%
发文量
8
期刊介绍: The African Journal of Agricultural and Resource Economics (AfJARE)/Journal Africain d’Economie Agricole et des Ressources (JAEAR) is a publication of the African Association of Agricultural Economists (AAAE). The journal publishes original research about how African agriculture interacts with local and global economic systems and policy regimes in its impacts upon people. The scope of the journal covers the roles of markets, technology, policy, institutions and the natural environment in shaping the lives of well being of Africans engaged in agricultural activities. The journal strives to nurture and enhance the capacity of African professionals to conduct and publish scientific research and provides a venue for communicating and disseminating their findings. Multi-disciplinary, problem-oriented articles are encouraged. Submissions may deal with teaching, research extension, consulting, advising, entrepreneurship and administration. The Chief Editors and Editorial Board, under the general direction of the AAAE President, Executive Committee and Council are charged with implementing Journal policy to serve members of AAAE. The main section of the journal publishes technical research articles while a small section is devoted to publishing brief notes with important policy content and book reviews. The journal is a quarterly publication.
×
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