A Mean Field Game approach for pollution regulation of competitive firms

Gianmarco Del Sarto, Marta Leocata, Giulia Livieri
{"title":"A Mean Field Game approach for pollution regulation of competitive firms","authors":"Gianmarco Del Sarto, Marta Leocata, Giulia Livieri","doi":"arxiv-2407.12754","DOIUrl":null,"url":null,"abstract":"We develop a model based on mean-field games of competitive firms producing\nsimilar goods according to a standard AK model with a depreciation rate of\ncapital generating pollution as a byproduct. Our analysis focuses on the\nwidely-used cap-and-trade pollution regulation. Under this regulation, firms\nhave the flexibility to respond by implementing pollution abatement, reducing\noutput, and participating in emission trading, while a regulator dynamically\nallocates emission allowances to each firm. The resulting mean-field game is of\nlinear quadratic type and equivalent to a mean-field type control problem,\ni.e., it is a potential game. We find explicit solutions to this problem\nthrough the solutions to differential equations of Riccati type. Further, we\ninvestigate the carbon emission equilibrium price that satisfies the market\nclearing condition and find a specific form of FBSDE of McKean-Vlasov type with\ncommon noise. The solution to this equation provides an approximate equilibrium\nprice. Additionally, we demonstrate that the degree of competition is vital in\ndetermining the economic consequences of pollution regulation.","PeriodicalId":501084,"journal":{"name":"arXiv - QuantFin - Mathematical Finance","volume":"42 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuantFin - Mathematical Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2407.12754","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

We develop a model based on mean-field games of competitive firms producing similar goods according to a standard AK model with a depreciation rate of capital generating pollution as a byproduct. Our analysis focuses on the widely-used cap-and-trade pollution regulation. Under this regulation, firms have the flexibility to respond by implementing pollution abatement, reducing output, and participating in emission trading, while a regulator dynamically allocates emission allowances to each firm. The resulting mean-field game is of linear quadratic type and equivalent to a mean-field type control problem, i.e., it is a potential game. We find explicit solutions to this problem through the solutions to differential equations of Riccati type. Further, we investigate the carbon emission equilibrium price that satisfies the market clearing condition and find a specific form of FBSDE of McKean-Vlasov type with common noise. The solution to this equation provides an approximate equilibrium price. Additionally, we demonstrate that the degree of competition is vital in determining the economic consequences of pollution regulation.
竞争性企业污染监管的均场博弈方法
我们建立了一个基于竞争企业均场博弈的模型,这些企业按照标准的 AK 模型生产同类产品,资本折旧率作为副产品产生污染。我们的分析重点是广泛使用的上限交易污染法规。在这一法规下,企业可以通过实施污染减排、减少产出和参与排放交易来灵活应对,而监管机构则动态地为每家企业分配排放配额。由此产生的均值场博弈是线性二次型博弈,等同于均值场型控制问题,即潜在博弈。我们通过里卡提式微分方程的解找到了这个问题的显式解。此外,我们还研究了满足市场公平条件的碳排放均衡价格,并找到了一种具有共噪声的麦肯-弗拉索夫(McKean-Vlasov)型 FBSDE 的特定形式。该方程的解提供了一个近似的均衡价格。此外,我们还证明了竞争程度对于决定污染监管的经济后果至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信