Verifiable and non-verifiable anonymous mechanisms for regulating a polluting monopolist

被引:4
|
作者
Prieger, James E. [1 ]
Sanders, Nicholas J. [2 ]
机构
[1] Pepperdine Univ, Sch Publ Policy, Malibu, CA 90263 USA
[2] Coll William & Mary, Dept Econ, Williamsburg, VA 23187 USA
关键词
Surplus subsidy schemes; Polluting monopolist; Verifiable regulatory mechanisms; ASYMMETRIC INFORMATION; IMPERFECT INFORMATION; ADJUSTMENT PROCESS; MARKET-STRUCTURE; UNKNOWN DEMAND; TAXATION; COST; OLIGOPOLISTS; EXTERNALITY; ENFORCEMENT;
D O I
10.1016/j.jeem.2012.05.006
中图分类号
F [经济];
学科分类号
02 ;
摘要
Optimal regulation of a polluting natural monopolist must correct for both external damages and market power to achieve a social optimum. Existing non-Bayesian regulatory methods require knowledge of the demand function, while Bayesian schemes require knowledge of the underlying cost distribution. We introduce mechanisms adapted to use less information. Our Price-based Subsidy (PS) mechanisms give the firm a transfer that matches or approximates the incremental surplus generated each period. The regulator need not observe the abatement activity or know the demand, cost, or damage functions of the firm. All of the mechanisms induce the firm to price at marginal social cost, either immediately or asymptotically. (C) 2012 Elsevier Inc. All rights reserved.
引用
收藏
页码:410 / 426
页数:17
相关论文
共 50 条
  • [1] Voluntary agreements and non-verifiable emissions
    Nyborg, K
    ENVIRONMENTAL & RESOURCE ECONOMICS, 2000, 17 (02): : 125 - 144
  • [2] Voluntary Agreements and Non-Verifiable Emissions
    Karine Nyborg
    Environmental and Resource Economics, 2000, 17 : 125 - 144
  • [3] The validity of verifiable and non-verifiable biodata items: An examination across applicants and incumbents
    Harold, Crystal M.
    McFarland, Lynn A.
    Weekley, Jeff A.
    INTERNATIONAL JOURNAL OF SELECTION AND ASSESSMENT, 2006, 14 (04) : 336 - 346
  • [4] Brokers and the insurance of non-verifiable losses.
    Doherty, NA
    Muermann, A
    INSURANCE MATHEMATICS & ECONOMICS, 2005, 37 (02): : 386 - 386
  • [5] Teams with moral hazard and non-verifiable quality assessment
    Saak, Alexander E.
    ECONOMICS LETTERS, 2015, 136 : 88 - 91
  • [6] The Utility of Pain Scale to Assess Verifiable vs Non-Verifiable Pain in United States Emergency Departments
    Xu, K. Tom
    Morris, James E.
    Piel, Christopher
    WESTERN JOURNAL OF EMERGENCY MEDICINE, 2021, 22 (02) : 156 - 162
  • [7] Collaborative environmental negotiation with private non-verifiable information: an experimental test
    Bruce, Christopher
    Clark, Jeremy
    JOURNAL OF ENVIRONMENTAL ECONOMICS AND POLICY, 2015, 4 (01) : 82 - 104
  • [8] Verifiable Anonymous Vote Submission
    Zuquete, Andre
    Almeida, Filipe
    APPLIED COMPUTING 2008, VOLS 1-3, 2008, : 2159 - 2166
  • [9] ANONYMOUS AND VERIFIABLE REGISTRATION IN DATABASES
    BRANDT, J
    DAMGARD, IB
    LANDROCK, P
    LECTURE NOTES IN COMPUTER SCIENCE, 1988, 330 : 167 - 176
  • [10] Misspellings or "miscellings"-Non-verifiable and unknown cell lines in cancer research publications
    Oste, Danielle J.
    Pathmendra, Pranujan
    Richardson, Reese A. K.
    Johnson, Gracen
    Ao, Yida
    Arya, Maya D.
    Enochs, Naomi R.
    Hussein, Muhammed
    Kang, Jinghan
    Lee, Aaron
    Danon, Jonathan J.
    Cabanac, Guillaume
    Labbe, Cyril
    Davis, Amanda Capes
    Stoeger, Thomas
    Byrne, Jennifer A.
    INTERNATIONAL JOURNAL OF CANCER, 2024, 155 (07) : 1278 - 1289