Welfare Analysis of Dynamic Pricing

被引:32
|
作者
Chen, Ningyuan [1 ]
Gallego, Guillermo [1 ]
机构
[1] Hong Kong Univ Sci & Technol, Dept Ind Engn & Decis Analyt, Kowloon, Clear Water Bay, Hong Kong, Peoples R China
关键词
dynamic pricing; revenue management; consumers' surplus; social welfare; pareto efficiency; DISCRIMINATION; DEMAND; MANAGEMENT; TIME;
D O I
10.1287/mnsc.2017.2943
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Dynamic pricing is designed to increase the revenues or profits of firms by adjusting prices in response to changes in the marginal value of capacity. We examine the impact of dynamic pricing on social welfare and consumers' surplus. We present a dynamic pricing formulation designed to maximize welfare and show that the welfare-maximizing dynamic pricing policy has the same structural properties as the revenue-maximizing policy. For systems with scarce capacity, we show that the revenue-maximizing dynamic pricing policy and the market-clearing price are both asymptotically optimal for welfare. We also find in most cases that revenue-maximizing dynamic pricing improves consumers' surplus compared to the revenue-maximizing static price. Our findings can potentially transform the public image of dynamic pricing and provide new managerial insights as well as policy implications: (1) in large-scale systems with scarce capacity, a central planner would essentially implement the same pricing policy as a firm with monopoly power; (2) the revenue-maximizing dynamic pricing policy can benefit customers when the demand elasticity is in a small bounded interval as is the case for several important demand functions.
引用
收藏
页码:139 / 151
页数:13
相关论文
共 50 条
  • [41] A Dynamic Pricing Mechanism Model Based on Sentiments Analysis
    Zhao, Lin
    [J]. 2019 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA & SMART CITY (ICITBS), 2019, : 622 - 625
  • [42] Interaction of pricing, advertising and experience quality: A dynamic analysis
    Caulkins, Jonathan P.
    Feichtinger, Gustav
    Grass, Dieter
    Hartl, Richard F.
    Kort, Peter M.
    Seidl, Andrea
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2017, 256 (03) : 877 - 885
  • [43] Dynamic Online Bundling Pricing Model and Heuristics Analysis
    Yang, Qingqing
    Yang, Kewei
    Ye, Yanqing
    [J]. ICEBT 2018: PROCEEDINGS OF THE 2018 2ND INTERNATIONAL CONFERENCE ON E-EDUCATION, E-BUSINESS AND E-TECHNOLOGY, 2018, : 102 - 105
  • [44] PJM reliability pricing model - A summary and dynamic analysis
    Bhavaraju, Murty P.
    Hobbs, Benjamin
    Hu, Ming-Che
    [J]. 2007 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-10, 2007, : 1653 - 1655
  • [45] AUDIT PRICING, LOWBALLING AND AUDITOR TURNOVER - A DYNAMIC ANALYSIS
    KANODIA, C
    MUKHERJI, A
    [J]. ACCOUNTING REVIEW, 1994, 69 (04): : 593 - 615
  • [46] A SIMULATION ANALYSIS OF ALTERNATIVE PRICING STRATEGIES FOR DYNAMIC ENVIRONMENTS
    CLARKE, DG
    DOLAN, RJ
    [J]. JOURNAL OF BUSINESS, 1984, 57 (01): : S179 - S200
  • [47] Dynamic Pricing in E-commerce: Bibliometric Analysis
    Polacek, Lukas
    Ulman, Milos
    Cihelka, Petr
    Silerova, Edita
    [J]. ACTA INFORMATICA PRAGENSIA, 2024, 13 (01) : 114 - 133
  • [48] Fairness, Welfare, and Equity in Personalized Pricing
    Kallus, Nathan
    Zhou, Angela
    [J]. PROCEEDINGS OF THE 2021 ACM CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY, FACCT 2021, 2021, : 296 - 314
  • [49] WELFARE EFFECTS OF CONGESTION PRICING IN SINGAPORE
    WILSON, PW
    [J]. TRANSPORTATION, 1988, 15 (03) : 191 - 210
  • [50] Congestion pricing and welfare An entry experiment
    Anderson, Lisa R.
    Holt, Charles A.
    Reiley, David
    [J]. ENVIRONMENTAL ECONOMICS, EXPERIMENTAL METHODS, 2007, 8 : 280 - 292