China's Copper Demand Forecasting Based on System Dynamics Model: 2016-2030

Jianbo Yang, Xin Li, Qunyi Liu
{"title":"China's Copper Demand Forecasting Based on System Dynamics Model: 2016-2030","authors":"Jianbo Yang, Xin Li, Qunyi Liu","doi":"10.20944/PREPRINTS201703.0231.V1","DOIUrl":null,"url":null,"abstract":"This paper assumes that China's economy will be developing high, medium and low scenarios, and forecasts economic and social indicators such as total GDP, population and per capita GDP in China from 2016 to 2030. Then, predicted the demand of copper resources in China from 2016 to 2030 by the combination of system dynamics model, ARIMA model prediction and inverted U-type empirical model. The results show that: China's copper demand growth slowed down significantly from 2016-2030. From 2025-2030, China's copper resource demand is stable, into the platform of demand growth. 2030 years later, China's copper resource dem and will enter a slow decline.","PeriodicalId":17101,"journal":{"name":"Journal of Residuals Science & Technology","volume":"8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2017-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Residuals Science & Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20944/PREPRINTS201703.0231.V1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

This paper assumes that China's economy will be developing high, medium and low scenarios, and forecasts economic and social indicators such as total GDP, population and per capita GDP in China from 2016 to 2030. Then, predicted the demand of copper resources in China from 2016 to 2030 by the combination of system dynamics model, ARIMA model prediction and inverted U-type empirical model. The results show that: China's copper demand growth slowed down significantly from 2016-2030. From 2025-2030, China's copper resource demand is stable, into the platform of demand growth. 2030 years later, China's copper resource dem and will enter a slow decline.
基于系统动力学模型的中国铜需求预测:2016-2030年
本文假设中国经济将发展为高、中、低三种情景,并对2016 - 2030年中国GDP总量、人口、人均GDP等经济社会指标进行预测。然后,结合系统动力学模型、ARIMA模型预测和倒u型经验模型对2016 - 2030年中国铜资源需求进行预测。结果表明:2016-2030年中国铜需求增速明显放缓。2025-2030年,中国铜资源需求平稳,进入需求增长平台。2030年后,中国的铜资源量将进入缓慢下降期。
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
Journal of Residuals Science & Technology
Journal of Residuals Science & Technology 环境科学-工程:环境
自引率
0.00%
发文量
0
审稿时长
>36 weeks
期刊介绍: The international Journal of Residuals Science & Technology (JRST) is a blind-refereed quarterly devoted to conscientious analysis and commentary regarding significant environmental sciences-oriented research and technical management of residuals in the environment. The journal provides a forum for scientific investigations addressing contamination within environmental media of air, water, soil, and biota and also offers studies exploring source, fate, transport, and ecological effects of environmental contamination.
×
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