西伯利亚商品市场的价格动态因素

M. Butakova, L. Markov, I. Savchenko
{"title":"西伯利亚商品市场的价格动态因素","authors":"M. Butakova, L. Markov, I. Savchenko","doi":"10.25205/2542-0429-2023-23-2-5-36","DOIUrl":null,"url":null,"abstract":"The identification and comparative analysis of the main factors determining the dynamics of prices in the commodity markets of Siberia has been carried out. At the first stage, the product groups of Rosstat were regrouped into commodity markets in order to more fully use the data of Rosstat and the Bank of Russia Enterprise Monitoring in the component-by-component modeling of the consumer price index of the Siberia macroregion. At the second stage, for each commodity market in Siberia and each period of price dynamics (the entire series, acceleration and deceleration of price growth), using the LARS method, factors of price dynamics were selected and then, in order to arrange the selected factors according to the degree of influence on commodity prices, linear regression models were trained. It is shown that, despite the close characteristics of the initial factor spaces, the models of non-food markets included a smaller number of features. This fact, together with the lower quality of non-food models, suggests that the generated space of factors, reflecting predominantly regional specifics, is less suitable for explaining the price dynamics of non-food products, which are more tradable in nature. Using the mean reciprocal rank metric, the most significant factors in a variety of commodity markets were identified. The comparison of factors showed that in both types of markets, during periods of accelerating price growth, the influence of the RUONIA interbank lending rate and the price index for investment products is more significant, and during periods of slowdown, the influence of the index of the real exchange rate of the ruble against the dollar, producer price indices by sectors and the amount of debt on loans to individuals. It was found that in the food markets of Siberia, the main factor of inflation is producer prices in commodity markets, while the non-food markets are most affected by the RUONIA interbank lending rate. In addition, non-food markets are more influenced by world prices, which also reflects the greater integration of non-food producers into the international division of labor and, conversely, the greater localization of food value chains.","PeriodicalId":31948,"journal":{"name":"Mir Ekonomiki i Upravlenia","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Factors of price dynamics in the commodity markets of Siberia\",\"authors\":\"M. Butakova, L. Markov, I. Savchenko\",\"doi\":\"10.25205/2542-0429-2023-23-2-5-36\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The identification and comparative analysis of the main factors determining the dynamics of prices in the commodity markets of Siberia has been carried out. At the first stage, the product groups of Rosstat were regrouped into commodity markets in order to more fully use the data of Rosstat and the Bank of Russia Enterprise Monitoring in the component-by-component modeling of the consumer price index of the Siberia macroregion. At the second stage, for each commodity market in Siberia and each period of price dynamics (the entire series, acceleration and deceleration of price growth), using the LARS method, factors of price dynamics were selected and then, in order to arrange the selected factors according to the degree of influence on commodity prices, linear regression models were trained. It is shown that, despite the close characteristics of the initial factor spaces, the models of non-food markets included a smaller number of features. This fact, together with the lower quality of non-food models, suggests that the generated space of factors, reflecting predominantly regional specifics, is less suitable for explaining the price dynamics of non-food products, which are more tradable in nature. Using the mean reciprocal rank metric, the most significant factors in a variety of commodity markets were identified. The comparison of factors showed that in both types of markets, during periods of accelerating price growth, the influence of the RUONIA interbank lending rate and the price index for investment products is more significant, and during periods of slowdown, the influence of the index of the real exchange rate of the ruble against the dollar, producer price indices by sectors and the amount of debt on loans to individuals. It was found that in the food markets of Siberia, the main factor of inflation is producer prices in commodity markets, while the non-food markets are most affected by the RUONIA interbank lending rate. In addition, non-food markets are more influenced by world prices, which also reflects the greater integration of non-food producers into the international division of labor and, conversely, the greater localization of food value chains.\",\"PeriodicalId\":31948,\"journal\":{\"name\":\"Mir Ekonomiki i Upravlenia\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mir Ekonomiki i Upravlenia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25205/2542-0429-2023-23-2-5-36\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mir Ekonomiki i Upravlenia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25205/2542-0429-2023-23-2-5-36","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

确定和比较分析了决定西伯利亚商品市场价格动态的主要因素。在第一阶段,为了更充分地利用俄罗斯国家统计局和俄罗斯银行企业监测的数据对西伯利亚宏观地区消费者价格指数进行逐成分建模,将俄罗斯国家统计局的产品组重新分组到商品市场中。第二阶段,针对西伯利亚各商品市场和各价格动态时期(价格增长的整个序列、加速和减速),采用LARS方法选择价格动态因素,然后根据对商品价格的影响程度训练线性回归模型,对所选因素进行排序。结果表明,尽管初始因子空间具有相近的特征,但非食品市场模型包含的特征数量较少。这一事实,加上非食品模型质量较低,表明主要反映区域特征的因素生成空间不太适合解释非食品产品的价格动态,因为非食品产品在本质上更具可交易性。使用平均倒数秩度量,在各种商品市场中最重要的因素被确定。各因素的比较表明,在两种类型的市场中,在价格加速增长期间,RUONIA银行间贷款利率和投资产品价格指数的影响更为显著,而在价格放缓期间,卢布对美元实际汇率指数、各行业生产者价格指数和个人贷款债务数额的影响更为显著。研究发现,在西伯利亚食品市场,通货膨胀的主要因素是商品市场的生产者价格,而非食品市场受RUONIA银行间拆借利率的影响最大。此外,非粮食市场受世界价格的影响更大,这也反映了非粮食生产者在更大程度上融入了国际劳动分工,反过来也反映了粮食价值链在更大程度上本土化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors of price dynamics in the commodity markets of Siberia
The identification and comparative analysis of the main factors determining the dynamics of prices in the commodity markets of Siberia has been carried out. At the first stage, the product groups of Rosstat were regrouped into commodity markets in order to more fully use the data of Rosstat and the Bank of Russia Enterprise Monitoring in the component-by-component modeling of the consumer price index of the Siberia macroregion. At the second stage, for each commodity market in Siberia and each period of price dynamics (the entire series, acceleration and deceleration of price growth), using the LARS method, factors of price dynamics were selected and then, in order to arrange the selected factors according to the degree of influence on commodity prices, linear regression models were trained. It is shown that, despite the close characteristics of the initial factor spaces, the models of non-food markets included a smaller number of features. This fact, together with the lower quality of non-food models, suggests that the generated space of factors, reflecting predominantly regional specifics, is less suitable for explaining the price dynamics of non-food products, which are more tradable in nature. Using the mean reciprocal rank metric, the most significant factors in a variety of commodity markets were identified. The comparison of factors showed that in both types of markets, during periods of accelerating price growth, the influence of the RUONIA interbank lending rate and the price index for investment products is more significant, and during periods of slowdown, the influence of the index of the real exchange rate of the ruble against the dollar, producer price indices by sectors and the amount of debt on loans to individuals. It was found that in the food markets of Siberia, the main factor of inflation is producer prices in commodity markets, while the non-food markets are most affected by the RUONIA interbank lending rate. In addition, non-food markets are more influenced by world prices, which also reflects the greater integration of non-food producers into the international division of labor and, conversely, the greater localization of food value chains.
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
9
审稿时长
20 weeks
×
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