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机构地区:[1]上海交通大学安泰经济与管理学院,上海200052
出 处:《系统管理学报》2015年第1期8-13,21,共7页Journal of Systems & Management
基 金:国家社会科学基金重点项目(12AZD046);教育部人文社会科学研究一般项目(11YJC630178);国家自然科学基金资助项目(71272112);上海交通大学文科科研创新计划资助项目(11TS10)
摘 要:通过来自淘宝的经验数据,实证检验淘宝C2C网络交易市场中网络外部性、竞争效应以及消费者搜寻成本对商品价格离散度的影响。证明了消费者搜寻成本越高,产品的价格离散度就越高,并得出:当卖方数量小于临界值,在网络外部性和搜寻成本的影响下,价格离散度与卖方数量成正比,即卖方数量越多,产品的价格离散度越高;当卖方数量大于临界值,在竞争效应作用下,价格离散度与卖方数量成反比,即价格离散下降,价格趋于竞争价格。This paper studies the effect of Searching Cost, and Network Externalities on Price Dispersion using the data from Online Clothing and Computer Accessories Markets in Taobao. The traditional Bertrand model ascertain that when there are more retailers, they would tend to fix the price at the marginal cost. As a result, the price dispersion of the product is zero. However, with the emergence of the online market, many scholars have found that when there are more retailers, the price dispersion will become higher. The results of this study shows that there is a threshold point where the number of retailers influences price dispersion in C2C online market such as Taobao. Before this critical point, the more retailers, the higher of the price dispersion. However, once surpass this critical point, the more retailers, the lower of the price dispersion. For different kinds of products, the threshold number is different.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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