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平台中的质量信息不对称与卖方策略性定价行为——来自中国电商平台的证据
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TitleThe Asymmetry of Quality Information in Platform and the Strategic Pricing of Seller  
作者刘重阳 曲创  
AuthorLiu Chongyang and Qu Chuang  
作者单位浙江理工大学经济管理学院;山东大学经济学院 
OrganizationZhejiang Sci-Tech University;Shandong University 
作者Emaillcy918lcy@163.com;qc@sdu.edu.cn 
中文关键词电商平台 质量信息不对称 策略性定价 价格分布 
Key Wordse-commerce platform; Asymmetry of quality information; strategic pricing; price distribution 
内容提要互联网平台虽然具备高效的信息传递和匹配能力,能够降低商品价格信息的不对称,但相比于线下实体市场却可能加剧商品质量信息的不对称,导致卖方具备策略性定价的动机和能力,形成了平台内价格频繁波动的现象。本文研究了电商平台中的卖方策略性定价行为,基于三大电商平台260万条产品信息的实证研究表明网络平台内的产品定价表现出明显而频繁的策略性变动。这种价格策略表现出三个规律,一是价格波动的幅度与信息对称程度成反向关系,二是高于均价水平的出价行为发生概率与信息对称程度表现出反向关系,三是提价行为的发生概率与信息对称程度表现出反向关系,同时众多卖方的价格调整表现出明显的共同趋势。平台内的信息不对称使卖买双方处于不同的市场地位,监管者应特别关注并加强消费者知情权的保护。 
AbstractThe platform has coordinated and promoted both production and consumption, which facilities the social transaction as well as changes the behavior pattern of buyers and sellers. The total sales of Taobao, Tmall and Jingdong in 2017 amounts to RMB 5.5 trillion, which is the 80% of all the e-retailing and 16% of the total retail sales of consumer goods in China. Obviously, platforms is the essential retail channel in daily consumption. Although the price search cost in e-commerce platform is almost zero, the price dispersion still exists, which might due to the information asymmetry. Many problems concerning platforms such as price discrimination, false information, and forged and fake commodores have drawn public attention recently. The facts indicates that the platform together with the sellers have the motivation and ability to implement strategic sales behavior, and obtain more profit by based on information asymmetry, which might impair the right-to-know and the right of fair trade of consumers, and could be bad for the development of platform economy. The fundamental characteristics of buying and selling behavior in platform worth a thorough and profound study. This paper uncovers the relationship between information asymmetry and strategic pricing behavior of seller in internet platform from both theoretical and empirical view. Based on the traditional search theories, the theoretical analysis reveals the price pattern in with the new information asymmetry in the platform, and gives a possible explanation of the serious product quality problem. The price information asymmetry and the quality information asymmetry are the two sides of the same coin in nature, but the asymmetry of quality information could result in more price dispersion. Due to the existence of large quantity of sellers, the strategic behavior is the result of both price and quality, which is distinct from the classic literature based on homogeneous product. The asymmetry of quality information leads to the asymmetry of price information, which forms the special pattern of price dispersion in internet platform, and also opens the opportunity of more extensive and special pricing strategies, namely the joint distribution of quality and price. In the empirical part, the paper examines the specific pattern of strategic pricing of sellers with more than 2.6 million data from Taobao, Tmall, and Jingdong e-commerce platforms. The result hotly only represents the static pattern of population distribution of price, but also discovers the evolving rules of dynamic changes of price, which has been seldom mentioned in the current literature to our knowledge, probably is limited to the availability of data. As the results show, the frequent price changes in platform present 3 rules: (1) the extent of price change goes negatively with the degree of information symmetry; (2) the probability of high price of seller goes negatively with the information symmetry; (3) the probability of easing price goes negatively with the information symmetry. Our empirical results strongly support that the information asymmetry is the foundation of strategic pricing of sellers in platform. In the further heterogeneity test part, the degree of information asymmetry varies with product types, which indicates the possibility of reducing the information asymmetry in the platform. This is one of the conclusions that could be applied in the mechanisms design of the platform, or the platform regulation. First, the transaction rules of the platform should put more emphasis on the behavior features platform participants. The standard of information disclosure should be enhanced to the product with low trade frequency, and promote the informative advertising content; Secondly, the regulation of internet platform industry should focus on the protection and promotion of the right-to-know of consumers. Protecting the normal way of demand realization is the necessity of realizing the decisive role of market mechanism in the resource allocation; Thirdly, the sales promotion behavior of platform should be regulated properly; Fourthly, enhance the legislation of the protection and usage of private information of consumers. It’s a common thing that platforms charge discriminatory higher price to consumers with higher willingness to pay, and the primary reason is the abuse of consumer information in the case of information asymmetry. This trend could harm the social credit system seriously and needs to be watched closely. Since the conclusions of this paper is drawn in the partial equilibrium context, there is the possibility that the strategic pricing behavior of sellers is result of the exploration and innovation in the long-term growth process. Nevertheless, certain behavior such as price discrimination cold impact the welfare distribution of platform participants, and should be regulated properly.  
文章编号WP1449 
登载时间2019-12-18 
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