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Liu,J. (2025). Asymmetric Information: Insights Across Economic and Market Contexts. Advances in Economics, Management and Political Sciences,166,148-154.
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Asymmetric Information: Insights Across Economic and Market Contexts

Jiarui Liu *,1,
  • 1 The British School of Milan, Via Pisani Dossi Carlo Alberto, 16, Italy

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2754-1169/2025.21130

Abstract

Asymmetric information seeks to explain how uneven knowledge among different parties distorts markets, leading to inefficiency and even market failure. This essay examines asymmetric information as a key factor of influence in the market and explores some theoretical solutions, such as signaling and screening. The study demonstrates the benefits and limitations of these remedies through real-world examples, such as the quality gaps in the tourism industry and the reliance of e-commerce on product disclosures. Signaling helps the informed parties convey credibility, while screening assists the uninformed in obtaining crucial information. However, these mechanisms are not perfect and can have their own shortcomings. While signaling and screening mitigate the effects of asymmetric information, neither can fully resolve its consequences. The study also underscores that the problem of achieving efficient market outcomes persists due to asymmetric information.

Keywords

asymmetric information, signaling, screening, economic inefficiency

[1]. Akerlof, George A. “The Market for “Lemons”: Quality Uncertainty and the Market Mechanism.” The Quarterly Journal of Economics, vol. 84, no. 3, Aug. 1970, pp. 488–500, www.jstor.org/stable/1879431, https://doi.org/10.2307/1879431.

[2]. Spence, Michael. “Job Market Signaling.” The Quarterly Journal of Economics, vol. 87, no. 3, Aug. 1973, pp. 355–374.

[3]. Rothschild, Michael, and Joseph Stiglitz. “Equilibrium in Competitive Insurance Markets: An Essay on the Economics of Imperfect Information.” The Quarterly Journal of Economics, vol. 90, no. 4, Nov. 1976, p. 629, https://doi.org/10.2307/1885326.

[4]. Harford, Tim. The Undercover Economist. New York, Random House Trade Paperbacks, 2007.

[5]. Suman, Sanket. “The Ricardian Theory of Rent (with Diagram).” Economics Discussion, 17 Oct. 2015, www.economicsdiscussion.net/rent/ricardian-theory-of-rent/the-ricardian-theory-of-rent-with-diagram/12612.

[6]. Kurlat, Pablo, and Florian Scheuer. “Signalling to Experts.” The Review of Economic Studies, 20 Oct. 2020, https://doi.org/10.1093/restud/rdaa068.

[7]. Statista. “ECommerce - Worldwide | Statista Market Forecast.” Statista, 2024, www.statista.com/outlook/emo/ecommerce/worldwide.

[8]. Palkama, Otto. ASYMMETRIC INFORMATION in ONLINE MARKETS. 31 Dec. 2020.

[9]. Hammerstein, Peter, and Edward H. Hagen. “Signaling Theory - an Overview | ScienceDirect Topics.” Www.sciencedirect.com, 2005, www.sciencedirect.com/topics/social-sciences/signaling-theory.

[10]. Lv, Jun, and Xuan Liu. “The Impact of Information Overload of E-Commerce Platform on Consumer Return Intention: Considering the Moderating Role of Perceived Environmental Effectiveness.” International Journal of Environmental Research and Public Health, vol. 19, no. 13, 30 June 2022, p. 8060, https://doi.org/10.3390/ijerph19138060.

[11]. Lewis, Gregory. “Asymmetric Information, Adverse Selection and Online Disclosure: The Case of EBay Motors.” American Economic Review, vol. 101, no. 4, June 2011, pp. 1535–1546, https://doi.org/10.1257/aer.101.4.1535.

[12]. Mavlanova, Tamilla, et al. “Signaling Theory and Information Asymmetry in Online Commerce.” Information & Management, vol. 49, no. 5, July 2012, pp. 240–247, https://doi.org/10.1016/j.im.2012.05.004.

[13]. Gideon Appiah Kusi, et al. “The Role of Information Overload on Consumers’ Online Shopping Behavior.” Journal of Business and Management Studies, vol. 4, no. 4, 22 Oct. 2022, pp. 172–188, https://doi.org/10.32996/jbms.2022.4.4.16.

[14]. Nagar, Komal, and Payal Gandotra. “Exploring Choice Overload, Internet Shopping Anxiety, Variety Seeking and Online Shopping Adoption Relationship: Evidence from Online Fashion Stores.” Global Business Review, vol. 17, no. 4, 20 July 2016, pp. 851–869, https://doi.org/10.1177/0972150916645682. Accessed 9 Apr. 2019.

[15]. Jacoby, Jacob, et al. “Brand Choice Behavior as a Function of Information Load: Replication and Extension.” Journal of Consumer Research, vol. 1, no. 1, June 1974, p. 33, https://doi.org/10.1086/208579. Accessed 22 Aug. 2019.

[16]. Alston, Carmen M. “Adverse Selection | Economics & Insurance Markets Definition | Britannica Money.” Www.britannica.com, 30 June 2023, www.britannica.com/money/adverse-selection.

[17]. CFI Team. “Screening.” Corporate Finance Institute, corporatefinanceinstitute.com/resources/career-map/sell-side/capital-markets/screening/.

Cite this article

Liu,J. (2025). Asymmetric Information: Insights Across Economic and Market Contexts. Advances in Economics, Management and Political Sciences,166,148-154.

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About volume

Volume title: Proceedings of the 4th International Conference on Business and Policy Studies

Conference website: https://2025.confbps.org/
ISBN:978-1-83558-961-8(Print) / 978-1-83558-962-5(Online)
Conference date: 20 February 2025
Editor:Canh Thien Dang
Series: Advances in Economics, Management and Political Sciences
Volume number: Vol.166
ISSN:2754-1169(Print) / 2754-1177(Online)

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