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Reputation dependent pricing strategy: analysis based on a Chinese C2C marketplace

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  • Zehao Chen
  • Yanchen Zhu
  • Tianyang Shen
  • Yufan Ye

Abstract

Most online markets establish reputation systems to assist building trust between sellers and buyers. Sellers' reputations not only provide guidelines for buyers but may also inform sellers their optimal pricing strategy. In this research, we assumed two types of buyer: informed buyers and uninformed buyers. Informed buyers know more about the reputation about the seller but may incur a search cost. Then we developed a benchmark model and a competition model. We found that high reputation sellers and low reputation sellers adapt different pricing strategy depending on the informativeness of buyers and the competition among sellers. With a large proportion of informed buyers, high reputation sellers may charge lower price than low reputation sellers, which exists a negative price premium effect, in contrast to conclusions of some previous studies. Empirical findings were in consistence with our theoretical models. We collected data of five categories of products, televisions, laptops, cosmetics, shoes, and beverages, from Taobao, a leading C2C Chinese online market. Negative price premium effect was observed for TVs, laptops, and cosmetics; price premium effect was observed for beverages; no significant trend was observed for shoes. We infer product value and market complexity are the main factors of buyer informativeness.

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  • Zehao Chen & Yanchen Zhu & Tianyang Shen & Yufan Ye, 2021. "Reputation dependent pricing strategy: analysis based on a Chinese C2C marketplace," Papers 2109.12477, arXiv.org.
    • Handle: RePEc:arx:papers:2109.12477
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    1. Michael R. Baye & John Morgan & Patrick Scholten, 2004. "Price Dispersion In The Small And In The Large: Evidence From An Internet Price Comparison Site," Journal of Industrial Economics, Wiley Blackwell, vol. 52(4), pages 463-496, December.
    2. Karen Clay & Ramayya Krishnan & Eric Wolff & Danny Fernandes, 2002. "Retail Strategies on the Web: Price and Non–price Competition in the Online Book Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 50(3), pages 351-367, September.
    3. Steven Salop & Joseph Stiglitz, 1977. "Bargains and Ripoffs: A Model of Monopolistically Competitive Price Dispersion," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 44(3), pages 493-510.
    4. Greiff, Matthias & Paetzel, Fabian, 2020. "Information about average evaluations spurs cooperation: An experiment on noisy reputation systems," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 334-356.
    5. Varian, Hal R, 1981. "A Model of Sales: Errata," American Economic Review, American Economic Association, vol. 71(3), pages 517-517, June.
    6. Kathy Baylis & Jeffrey Perloff, 2002. "Price Dispersion on the Internet: Good Firms and Bad Firms," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 21(3), pages 305-324, November.
    7. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
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    Cited by:

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