Resale regulations in online marketplaces during the COVID-19 pandemic

IF 1.3 4区数学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Applied Stochastic Models in Business and Industry Pub Date : 2024-01-29 DOI:10.1002/asmb.2847

Yohsuke Hirose

引用次数: 0

Abstract

In the early stages of the COVID-19 pandemic, masks and alcohol sanitizers were hoarded and resold in online markets. In Japan, restrictions were imposed on such resale. This paper examines changes in the behavior of economic agents and their surplus before and after the resale restrictions in the online market. We collected data on the auctions and fixed-price sales of anhydrous ethanol before and after the resale regulation. Using these estimated parameters, we evaluated the changes in the surpluses per transaction. We found that, on average, the regulation reduced the consumer surplus and the producer surplus by about JPY 160 and JPY 1500, respectively.

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COVID-19 大流行期间网上市场的转售规定

在 COVID-19 大流行的早期阶段，口罩和酒精消毒剂被囤积起来并在网上市场转售。日本对此类转售实施了限制。本文研究了在线市场转售限制前后经济主体行为及其盈余的变化。我们收集了转售限制前后无水乙醇拍卖和固定价格销售的数据。利用这些估计参数，我们评估了每笔交易的盈余变化。我们发现，该法规平均使消费者剩余和生产者剩余分别减少了约 160 日元和 1500 日元。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Stochastic Models in Business and Industry 数学-数学跨学科应用

CiteScore

2.70

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： ASMBI - Applied Stochastic Models in Business and Industry (formerly Applied Stochastic Models and Data Analysis) was first published in 1985, publishing contributions in the interface between stochastic modelling, data analysis and their applications in business, finance, insurance, management and production. In 2007 ASMBI became the official journal of the International Society for Business and Industrial Statistics (www.isbis.org). The main objective is to publish papers, both technical and practical, presenting new results which solve real-life problems or have great potential in doing so. Mathematical rigour, innovative stochastic modelling and sound applications are the key ingredients of papers to be published, after a very selective review process. The journal is very open to new ideas, like Data Science and Big Data stemming from problems in business and industry or uncertainty quantification in engineering, as well as more traditional ones, like reliability, quality control, design of experiments, managerial processes, supply chains and inventories, insurance, econometrics, financial modelling (provided the papers are related to real problems). The journal is interested also in papers addressing the effects of business and industrial decisions on the environment, healthcare, social life. State-of-the art computational methods are very welcome as well, when combined with sound applications and innovative models.