改进基于数学模型的地区国内生产总值预测的前景

Z. Gaibnazarova
{"title":"改进基于数学模型的地区国内生产总值预测的前景","authors":"Z. Gaibnazarova","doi":"10.1109/ITNT57377.2023.10139074","DOIUrl":null,"url":null,"abstract":"Methods for choosing the prospects for improving the forecasting of the gross domestic product of regions based on mathematical models are considered. Econometric models are used in forecasting the gross domestic product of the regions. These methods will help to identify the factors influencing the improvement of the gross domestic product of the regions, and to assess their impact. In addition, when analyzing the gross domestic product of the regions, the degree of interrelationships of influencing factors was calculated using the statistical grouping method. At the same time, methods of economic and mathematical modeling and multivariate econometric analysis were used. Several econometric models have been developed to predict economic indicators using data that fully reflect the dynamics of the prospects for improving the production of the gross domestic product of the regions. For these purposes, we have analyzed the development of forecasting the regional economic system using econometric models. The interrelation of factors influencing the productivity of the gross domestic product of the regions has been studied.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prospects for improving the forecasting of the gross domestic product of regions based on mathematical models\",\"authors\":\"Z. Gaibnazarova\",\"doi\":\"10.1109/ITNT57377.2023.10139074\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Methods for choosing the prospects for improving the forecasting of the gross domestic product of regions based on mathematical models are considered. Econometric models are used in forecasting the gross domestic product of the regions. These methods will help to identify the factors influencing the improvement of the gross domestic product of the regions, and to assess their impact. In addition, when analyzing the gross domestic product of the regions, the degree of interrelationships of influencing factors was calculated using the statistical grouping method. At the same time, methods of economic and mathematical modeling and multivariate econometric analysis were used. Several econometric models have been developed to predict economic indicators using data that fully reflect the dynamics of the prospects for improving the production of the gross domestic product of the regions. For these purposes, we have analyzed the development of forecasting the regional economic system using econometric models. The interrelation of factors influencing the productivity of the gross domestic product of the regions has been studied.\",\"PeriodicalId\":296438,\"journal\":{\"name\":\"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITNT57377.2023.10139074\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITNT57377.2023.10139074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

探讨了基于数学模型的地区生产总值预测的前景选择方法。计量经济模型用于预测各地区的国内生产总值。这些方法将有助于查明影响改善各区域国内生产总值的因素,并评估其影响。此外,在分析各地区的国内生产总值时,采用统计分组法计算各影响因素的相互关系程度。同时,运用了经济数学建模和多元计量经济分析方法。已经发展了几个计量经济学模型,利用充分反映改善各区域国内生产总值生产前景的动态的数据来预测经济指标。为此,我们分析了利用计量经济模型预测区域经济系统的发展。研究了影响各地区国内生产总值生产率的因素之间的相互关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Prospects for improving the forecasting of the gross domestic product of regions based on mathematical models
Methods for choosing the prospects for improving the forecasting of the gross domestic product of regions based on mathematical models are considered. Econometric models are used in forecasting the gross domestic product of the regions. These methods will help to identify the factors influencing the improvement of the gross domestic product of the regions, and to assess their impact. In addition, when analyzing the gross domestic product of the regions, the degree of interrelationships of influencing factors was calculated using the statistical grouping method. At the same time, methods of economic and mathematical modeling and multivariate econometric analysis were used. Several econometric models have been developed to predict economic indicators using data that fully reflect the dynamics of the prospects for improving the production of the gross domestic product of the regions. For these purposes, we have analyzed the development of forecasting the regional economic system using econometric models. The interrelation of factors influencing the productivity of the gross domestic product of the regions has been studied.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Cooperative Application of Vehicular Traffic Rerouting Method and Adaptive Traffic Signal Control Method Analysis of the Influence of Space Weather Factors on the Telemetry Parameters of Small Spacecraft in Low Earth Orbit Correlations and Statistical Memory Effects as Markers of Age-related Changes in Complex Systems of Living Nature Visualization of feature spaces based on spectral and texture characteristics Electrically controlled optical spectral filters for WDM communication networks based on multilayer inhomogeneous holographic diffraction structures
×
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