跨境电商平台的信用机制与交易效率研究——基于信息不对称博弈模型
Credit Mechanisms of Cross-Border E-Commerce Platforms and Transaction Efficiency—A Game-Theoretic Analysis under Information Asymmetry
摘要: 随着数字经济的发展,跨境电商平台已成为推动国际贸易增长的重要渠道。然而,在跨境电商交易过程中,由于买卖双方之间存在信息不对称,消费者难以在交易前准确判断商品质量和卖家信誉,从而影响市场交易效率。为缓解这一问题,各类跨境电商平台普遍建立信用评价机制,通过用户评分、交易记录和信用等级等方式提高市场信息透明度。本文在信息不对称理论基础上构建一个简单博弈模型,分析信用机制对卖家行为和市场均衡的影响。研究结果表明,在缺乏信用机制的情况下,市场容易出现逆向选择问题,从而降低交易规模和市场效率;而在引入信用评价机制后,信息不对称程度明显下降,高质量卖家更容易获得消费者信任,从而提高市场整体质量水平并进一步提升交易效率。研究表明,跨境电商平台信用机制在促进市场健康发展方面具有重要作用。
Abstract: With the development of the digital economy, cross-border e-commerce platforms have become an important channel for promoting the growth of international trade. However, in cross-border e-commerce transactions, information asymmetry between buyers and sellers makes it difficult for consumers to accurately evaluate product quality and seller credibility before purchasing, which may reduce market transaction efficiency. To address this problem, many cross-border e-commerce platforms have established credit evaluation mechanisms, such as user ratings, transaction records, and credit scores, to improve market transparency. Based on the theory of information asymmetry, this paper constructs a simple game-theoretic model to analyze the impact of credit mechanisms on sellers’ behavior and market equilibrium. The results show that in the absence of credit mechanisms, adverse selection is likely to occur in the market, leading to a reduction in transaction volume and market efficiency. After introducing a credit evaluation mechanism, the degree of information asymmetry is significantly reduced, and high-quality sellers are more likely to gain consumers’ trust, which improves the overall market quality and enhances transaction efficiency. The findings indicate that credit mechanisms of cross-border e-commerce platforms play an important role in promoting the healthy development of the market.
文章引用:林佳丽, 田发. 跨境电商平台的信用机制与交易效率研究——基于信息不对称博弈模型[J]. 电子商务评论, 2026, 15(6): 273-281. https://doi.org/10.12677/ecl.2026.156634

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