Data ownership, data collection and personalized pricing

WANG Taiming, LI Sanxi, LIU Xiaolu

Systems Engineering - Theory & Practice ›› 2024, Vol. 44 ›› Issue (1) : 1-14.

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Systems Engineering - Theory & Practice ›› 2024, Vol. 44 ›› Issue (1) : 1-14. DOI: 10.12011/SETP2023-1773

Data ownership, data collection and personalized pricing

  • WANG Taiming1, LI Sanxi1,2, LIU Xiaolu1,3
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Abstract

Data ownership can either be considered as an indivisible monistic right or separated into ownership and usufruct, but the economic significance of data ownership and usufruct separation remains controversial. Digital enterprises' data-based services incentivize users to provide data, but also result in loss of privacy for users through personalized pricing. This paper constructs a monopoly firm model to explore the impact of data collection behavior and welfare under the definition of lack of usufruct and possession of usufruct when there is personalized pricing and privacy loss. The study finds that without usufruct, data collection will not occur if the privacy cost is high, but excessive data collection will occur if the privacy cost is low. When the collector has the initial usufruct and the user has ownership of the data, efficient data collection can be achieved, improving user surplus and social welfare. Data ownership only affects the distribution of social welfare between the collector and user. Therefore, we should consider the right definition framework of data ownership and usufruct separation and discuss the ownership of data usufruct in different scenarios. When the privacy cost is low, data collectors should be granted usufruct, and users should be allowed to exercise ownership through the "deletion right" and other ways to improve social welfare and user surplus. When the cost of privacy is high or users underestimate the cost of privacy, the method of prohibiting data collection should be adopted to protect sensitive data, rather than confirming rights.

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data ownership / data collection / personalized pricing / privacy cost

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WANG Taiming , LI Sanxi , LIU Xiaolu. Data ownership, data collection and personalized pricing. Systems Engineering - Theory & Practice, 2024, 44(1): 1-14 https://doi.org/10.12011/SETP2023-1773

References

[1] 谢丹夏, 魏文石, 李尧, 等. 数据要素配置、信贷市场竞争与福利分析[J]. 中国工业经济, 2022(8):25-43. Xie D X, Wei W S, Li Y, et al. Data allocation, credit market competition and welfare analysis[J]. China Industrial Economics, 2022(8):25-43.
[2] 李三希, 王泰茗, 刘小鲁. 数据投资、数据共享与数据产权分配[J]. 经济研究, 2023, 58(7):139-155. Li S X, Wang T M, Liu X L. Data investment, data sharing and data ownership allocation[J]. Economic Research Journal, 2023, 58(7):139-155.
[3] 申卫星. 论数据用益权[J]. 中国社会科学, 2020(11):110-131. Shen W X. On data usufruct[J]. Social Sciences in China, 2020(11):110-131.
[4] Ali S N, Lewis G, Vasserman S. Voluntary disclosure and personalized pricing[J]. Review of Economic Studies, 2023, 90:538-571.
[5] Jones C, Tonetti C. Nonrivalry and the economics of data[J]. American Economic Review, 2020, 110(9):2819-2858.
[6] 熊巧琴, 汤珂. 数据要素的界权、交易和定价研究进展[J]. 经济学动态, 2021(2):143-158. Xiong Q Q, Tang K. Research progress on the right delimitation, exchange and pricing of data[J]. Economic Perspective, 2021(2):143-158.
[7] 戎珂, 刘涛雄, 周迪, 等. 数据要素市场的分级授权机制研究[J]. 管理工程学报, 2022, 36(6):15-29. Rong K, Liu T X, Zhou D, et al. Hierarchical data licensing mechanisms in the data market[J]. Journal of Industrial Engineering/Engineering Management, 2022, 36(6):15-29.
[8] Colombo S. Behavior and characteristic-based price discrimination[J]. Journal of Economics & Management Strategy, 2018, 27(2):237-250.
[9] 荆文君. 数据优势会使平台企业提高定价吗?——模型推导与理论分析[J]. 中国管理科学, 2021, 29(7):227-237. Jing W J. Will data advantages increase platform companies' pricing? Model derivation and theoretical analysis[J]. Chinese Journal of Management Science, 2021, 29(7):227-237.
[10] Bergemann D, Brooks B, Morris S. The limits of price discrimination[J]. American Economic Review, 2015, 105(3):921-957.
[11] Acquisti A, Taylor C, Wagman L. The economics of privacy[J]. Journal of Economic Literature, 2016, 54(2):442-492.
[12] 郑捷. 算法推荐、价格歧视与消费者隐私[J]. 数据, 2021(12):43-45. Zheng J. Algorithmic recommendations, price discrimination, and consumer privacy[J]. Data, 2021(12):43-45.
[13] 邵小快, 郑捷. 隐私偏好、差异化定价及消费者信息保护政策[R]. 2022, 工作论文. Shao X K, Zheng J. Privacy preferences, differentiated pricing, and consumer information protection policies[R]. 2022, Working Paper.
[14] 张剑虎, 林平. 个人信息保护的市场机制与法律监管的福利效果[J]. 经济学(季刊), 2023, 23(4):1477-1494. Zhang J H, Lin P. The market mechanism for protecting consumer information and the welfare effects of legal arrangement[J]. China Economic Quarterly, 2023, 23(4):1477-1494.
[15] Fudenberg D, Tirole J. Customer poaching and brand switching[J]. RAND Journal of Economics, 2000, 31:634-657.
[16] 韩海鹏, 郑捷. 数字经济时代的信息收集与信息披露[J]. 数据, 2022(8):56-59. Han H P, Zheng J. Information collection and disclosure in the era of digital economy[J]. Data, 2022(8):56-59.
[17] Grossman S J, Hart O D. Disclosure laws and takeover bids[J]. The Journal of Finance, 1980, 35(2):323-334.
[18] Milgrom P R. Good news and bad news:Representation theorems and applications[J]. The BELL Journal of Economics, 1981, 12(2):380.
[19] Grossman S J. The informational role of warranties and private disclosure about product quality[J]. The Journal of Law and Economics, 1981, 24(3):461-483.
[20] Okuno-Fujiwara M, Postlewaite A, Suzumura K. Strategic information revelation[J]. The Review of Economic Studies, 1990, 57(1):25.
[21] 王乐, 王璐瑶, 孙早. 隐私侵犯经历对网络用户自我披露的影响机制[J]. 系统工程理论与实践, 2020, 40(1):79-92. Wang L, Wang L Y, Sun Z. The mechanism of privacy invasion experience on internet users' self-disclosure[J]. Systems Engineering-Theory & Practice, 2020, 40(1):79-92.
[22] 沈月, 仲伟俊, 梅姝娥. 消费者信息隐私保护对企业定价策略的影响[J]. 系统工程理论与实践, 2022, 42(2):368-381. Shen Y, Zhong W J, Mei S E. The influence of privacy protection on enterprise pricing strategy[J]. Systems Engineering-Theory & Practice, 2022, 42(2):368-381.
[23] Athey S, Catalini C, Tucker C. The digital privacy paradox:Small money, small costs, small talk[J]. National Bureau of Economic Research, 2017:23488. doi:10.3386/W23488.
[24] Krishna V. Auction theory[M]. 2nd ed. Academic Press, San Diego, 2010.

Funding

National Natural Science Foundation of China (72192801, 72192802); the Key Project of Beijing Natural Science Foundation (Z220001); Youth Project of Humanities and Social Sciences Fundation of the Ministry of Education of China (20YJC790052); "Special Fund for Building World-class Universities (Discipline) and Guiding the Development of Characteristics of Central Universities" of Renmin University of China in 2023
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