Output uncertainty mitigation in competitive markets

IF 0.5 4区 经济学 Q4 ECONOMICS
Bingbing Li , Yan Long
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引用次数: 0

Abstract

Output uncertainty is a major concern for industries prone to exogenous, persistent and large fluctuations in output, such as agriculture, wind and solar power generation, while technology adoption aimed at mitigating output uncertainty can improve social welfare. This paper constructs a competitive market model with random output fluctuations to examine the scale of technology adoption at the long-term equilibrium and its comparison with the social optimum. We show that the First Welfare Theorem no longer holds in general, and depending on the characteristics of the demand function, the scale of technology adoption in the competitive market may be greater or less than the socially optimal scale.

在竞争性市场中减少产出的不确定性
产出的不确定性是农业、风能和太阳能发电等易受外生因素影响、产出持续大幅波动的行业所关注的主要问题,而采用旨在缓解产出不确定性的技术可以提高社会福利。本文构建了一个具有随机产出波动的竞争性市场模型,以研究长期均衡时的技术采用规模及其与社会最优的比较。我们的研究表明,第一福利定理在一般情况下不再成立,而且根据需求函数的特点,竞争市场的技术采用规模可能大于或小于社会最优规模。
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来源期刊
Mathematical Social Sciences
Mathematical Social Sciences 数学-数学跨学科应用
CiteScore
1.30
自引率
0.00%
发文量
55
审稿时长
59 days
期刊介绍: The international, interdisciplinary journal Mathematical Social Sciences publishes original research articles, survey papers, short notes and book reviews. The journal emphasizes the unity of mathematical modelling in economics, psychology, political sciences, sociology and other social sciences. Topics of particular interest include the fundamental aspects of choice, information, and preferences (decision science) and of interaction (game theory and economic theory), the measurement of utility, welfare and inequality, the formal theories of justice and implementation, voting rules, cooperative games, fair division, cost allocation, bargaining, matching, social networks, and evolutionary and other dynamics models. Papers published by the journal are mathematically rigorous but no bounds, from above or from below, limits their technical level. All mathematical techniques may be used. The articles should be self-contained and readable by social scientists trained in mathematics.
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