Land Use Projections for Southern Non-Black-Earth Regions of Russia: Coping with Uncertainty

N. Svetlov
{"title":"Land Use Projections for Southern Non-Black-Earth Regions of Russia: Coping with Uncertainty","authors":"N. Svetlov","doi":"10.2139/ssrn.3240669","DOIUrl":null,"url":null,"abstract":"To address the question whether the abundancy of agricultural land in regions of Russia can favour growth of their crop production in a long run, a simulation framework is developed that is robust to a high level of uncertainty. Its core is a variety of a partial equilibrium model with a fully specified demand function and an equilibrium point as the only datum about the supply function. Procedures of systems analysis are applied to reduce the uncertainty and to measure its harm. As a result, reliable conclusions are obtained from 1000 random trials. The uncertain parameters of the model are ranked on urgency of their more accurate estimations for the purpose of obtaining a more precise projection. Among 11 uncertain parameters of the model, only four significantly affect incremental land use. Simulations suggest that combining protectionism with monetary inflows in R&D allows moderate growth of the cultivated land area. So, the hypothetical congestion effect of land abundancy is ruled out.","PeriodicalId":111133,"journal":{"name":"ERN: Agricultural Economics (Topic)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Agricultural Economics (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3240669","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

To address the question whether the abundancy of agricultural land in regions of Russia can favour growth of their crop production in a long run, a simulation framework is developed that is robust to a high level of uncertainty. Its core is a variety of a partial equilibrium model with a fully specified demand function and an equilibrium point as the only datum about the supply function. Procedures of systems analysis are applied to reduce the uncertainty and to measure its harm. As a result, reliable conclusions are obtained from 1000 random trials. The uncertain parameters of the model are ranked on urgency of their more accurate estimations for the purpose of obtaining a more precise projection. Among 11 uncertain parameters of the model, only four significantly affect incremental land use. Simulations suggest that combining protectionism with monetary inflows in R&D allows moderate growth of the cultivated land area. So, the hypothetical congestion effect of land abundancy is ruled out.
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
俄罗斯南部非黑土地区的土地利用预测:应对不确定性
为了解决俄罗斯地区丰富的农业用地是否有利于长期作物生产增长的问题,开发了一个模拟框架,该框架具有很强的不确定性。其核心是一种以充分指定的需求函数和一个平衡点作为供给函数的唯一基准的部分均衡模型。应用系统分析程序来减少不确定性并测量其危害。因此,从1000个随机试验中得出了可靠的结论。为了得到更精确的投影,将模型的不确定参数按其更精确估计的紧迫性进行排序。在模型的11个不确定参数中,只有4个参数对增量土地利用有显著影响。模拟表明,将保护主义与研发领域的货币流入相结合,可以使耕地面积适度增长。因此,假设的土地丰富的拥挤效应被排除在外。
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
自引率
0.00%
发文量
0
期刊最新文献
Price Transmission in Cotton Futures Market: Evidence from Three Countries Estimating Multinomial Choice Models with Unobserved Choice Sets Measurement of collusion in open ascending price auctions in agricultural commodity markets A Model of Collusion Formation and Measurement in the Open Ascending Bid Auctions in Agricultural Commodity Markets The Future of the Rural Economy in the United States
×
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