Auctioning Escape Permits for Multiple Correlated Pollutants Using CMRA

TL;DR

Problem: allocating pollution-abatement resources when reduction costs are interdependent across pollutants. Approach: extend the Combinatorial Multi-Round Ascending Auction (CMRA) to escape permits, using a combined cost function $C_i(x)$ and per-unit utilities $U_i(1 \vert E_j) = C_i(1 \vert P_j)$ to capture codependence. Contributions: an extended CMRA framework for multi-pollutant escape permits, demonstration that unsold permits enable a safety-valve mechanism, and empirical insight into how cross-pollutant cost correlation shapes transaction prices in Finnish agriculture. Findings: truthful bidding and capacitated allocations emerge, with higher correlation reducing prices and encouraging investment in multi-pollutant reduction technologies. Significance: offers a scalable, economically sound tool for environmental policy design that balances pollution reductions with market efficiency.

Abstract

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.

Figures (2)

• Figure 1: Transaction Proportion Analysis
• Figure 2: Transaction Price for 2 agents with correlation coefficients 0.5 and 0.1 respectively