Saved in:
Bibliographic Details
Main Authors: Goyal, Keshav, Sathish, Sooraj, Rao, Shrisha
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2408.10148
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866911994490126336
author Goyal, Keshav
Sathish, Sooraj
Rao, Shrisha
author_facet Goyal, Keshav
Sathish, Sooraj
Rao, Shrisha
contents In the context of increasingly complex environmental challenges, effective pollution control mechanisms are crucial. By extending the state of the art auction mechanisms, we aim to develop an efficient approach for allocating pollution abatement resources in a multi-pollutant setting with pollutants affecting each other's reduction costs. We modify the Combinatorial Multi-Round Ascending Auction for the auction of escape permits of pollutants with co-dependent reduction processes, specifically, greenhouse gas emissions and nutrient runoff in Finnish agriculture. We show the significant advantages of this mechanism in pollution control through experiments on the bid prices and amount of escape permits sold in multiple auction simulations.
format Preprint
id arxiv_https___arxiv_org_abs_2408_10148
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Auctioning Escape Permits for Multiple Correlated Pollutants Using CMRA
Goyal, Keshav
Sathish, Sooraj
Rao, Shrisha
Computer Science and Game Theory
Multiagent Systems
In the context of increasingly complex environmental challenges, effective pollution control mechanisms are crucial. By extending the state of the art auction mechanisms, we aim to develop an efficient approach for allocating pollution abatement resources in a multi-pollutant setting with pollutants affecting each other's reduction costs. We modify the Combinatorial Multi-Round Ascending Auction for the auction of escape permits of pollutants with co-dependent reduction processes, specifically, greenhouse gas emissions and nutrient runoff in Finnish agriculture. We show the significant advantages of this mechanism in pollution control through experiments on the bid prices and amount of escape permits sold in multiple auction simulations.
title Auctioning Escape Permits for Multiple Correlated Pollutants Using CMRA
topic Computer Science and Game Theory
Multiagent Systems
url https://arxiv.org/abs/2408.10148