蔬菜和水果价格的空间依赖动态

IF 1.6 3区工程技术 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE

Networks & Spatial Economics Pub Date : 2023-01-01 DOI:10.14530/se.2023.2.094-125

V. Timiryanova, I. Lakman, Dina Krasnoselskaya, Anna Stol

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引用次数: 0

摘要

本文对2019年1月1日至2022年3月31日期间俄罗斯81个地区6种水果和蔬菜的日常价格进行了空间分析。该研究信息集由联邦税务局(Federal Tax Service)从财政登记机构提取数据形成;它对每种水果和蔬菜产品包含多达95 332项观察结果。在指定的数据数组中，我们通过评估全球莫兰指数和当地莫兰指数，在每日、每周和每月的动态中，探索价格及其增长率的空间相关性。为了分析空间依赖性中循环变化的存在，我们使用了相关图，并通过各种特殊测试对其进行了评估。我们的分析表明，数据聚合的水平(以每日、每周或每月值的形式)影响了解释结果的可能性。区域空间价格变动速率通常超过1天。同时，在某些时期，它可以在一周内显著注册，它显示了月度数据上价格变化的同步性。在考虑商品类型的背景下，揭示了不同的空间依赖性。我们揭示了马铃薯最稳定的空间依赖性。马铃薯的季节性和每周空间依赖周期由季节性价格波动决定。我们的研究结果对于研究空间测量问题、区域间相互作用问题以及定价宏观经济问题的人们来说将是有趣的

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Dynamics of Spatial Dependences of Prices for Vegetables and Fruits

The paper addresses to a spatial analysis of daily prices for 6 types of fruits and vegetables in 81 regions of Russia from January 1, 2019 to March 31, 2022. The study set of information was formed by the Federal Tax Service with extraction data from fiscal registrars; it contains up to 95 332 observations for each type of fruit and vegetable products. Within the indicated data array, we explore the presence of a spatial correlation of prices and their growth rates by assessing the global Moran’s index and local Moran’s indices, in daily, weekly and monthly dynamics. To analyze the presence of cyclic changes in spatial dependencies, we use a correlogram, which was evaluated by various special tests. Our analysis showed that the level of data aggregation (in the form of daily, weekly or monthly values) affects the possibility of interpreting the results. The rate of spatial price change at the regional level usually exceeds one day. At the same time, in certain periods, it can be significantly registered within a week and it shows the synchronism of price changes on monthly data. Different Spatial dependence was revealed in the context of the considered goods types. We revealed the most stable spatial dependences for potatoes. Significant seasonal and weekly cycles of spatial dependence, determined by seasonal price fluctuations, were identified for potatoes. Our findings will be interesting to wide range of people dealing with issues of spatial measurements and problems of interregional interaction, as well as macroeconomic problems of pricing

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来源期刊

Networks & Spatial Economics 社会科学-运筹学与管理科学

CiteScore

4.00

自引率

4.20%

发文量

审稿时长

>12 weeks

期刊介绍： Networks and Spatial Economics (NETS) is devoted to the mathematical and numerical study of economic activities facilitated by human infrastructure, broadly defined to include technologies pertinent to information, telecommunications, the Internet, transportation, energy storage and transmission, and water resources. Because the spatial organization of infrastructure most generally takes the form of networks, the journal encourages submissions that employ a network perspective. However, non-network continuum models are also recognized as an important tradition that has provided great insight into spatial economic phenomena; consequently, the journal welcomes with equal enthusiasm submissions based on continuum models. The journal welcomes the full spectrum of high quality work in networks and spatial economics including theoretical studies, case studies and algorithmic investigations, as well as manuscripts that combine these aspects. Although not devoted exclusively to theoretical studies, the journal is "theory-friendly". That is, well thought out theoretical analyses of important network and spatial economic problems will be considered without bias even if they do not include case studies or numerical examples.