OPTIMAL NONLINEAR PRICING WITH REGULATORY PREFERENCE OVER CUSTOMER TYPE
成果类型：
Article
署名作者：
SHARKEY, WW; SIBLEY, DS
署名单位：
University of Texas System; University of Texas Austin
刊物名称：
JOURNAL OF PUBLIC ECONOMICS
ISSN/ISSBN：
0047-2727
DOI：
10.1016/0047-2727(93)90049-Y
发表日期：
1993
页码：
197-229
关键词：
摘要：
In this paper we characterize the Pareto-optimal set of non-linear pricing schedules when non-negative weights are assigned to each customer type. Our analysis first compares general non-linear tariff schedules and sets of self-selecting two-part tariffs, when there are two customer types and the cost function is linear. We then derive optimal sets of two-part tariffs for arbitrary numbers of customer types and general cost functions. We also consider the sustainability of non-linear pricing schedules under the threat of entry of rival firms.
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