The independence of initial allocation in pollution markets

Last registered on September 03, 2025

Pre-Trial

Trial Information

General Information

Title
The independence of initial allocation in pollution markets
RCT ID
AEARCTR-0016586
Initial registration date
August 31, 2025

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
September 03, 2025, 9:14 AM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Region

Primary Investigator

Affiliation
University of Queensland

Other Primary Investigator(s)

PI Affiliation
University of Queensland
PI Affiliation
University of Queensland

Additional Trial Information

Status
In development
Start date
2025-08-25
End date
2025-12-31
Secondary IDs
Prior work
This trial is based on or builds upon one or more prior RCTs.
Abstract
Emissions trading schemes (ETS) are widely implemented to regulate greenhouse gas emissions. Under the conditions of perfect competition and free of market frictions, equilibrium outcomes in ETS should be invariant to the initial allocation of permits - a result known as the independence property. In this study, we provide a direct test of that invariance through five experimental treatments that systematically vary the initial distribution of permits. In contract to the previous studies, which typically fix output and focus exclusively on permit trading, our experiment incorporates the impact of the output market by endogenizing both output and permit decisions simultaneousely. This enables us to investigate whether behavioural factors can undermine the independence property even under idealized conditions, and how different allocation rules shape the interaction between product and permit markets.
External Link(s)

Registration Citation

Citation
Friesen, Lana, Ian MacKenzie and Peiyao Shen. 2025. "The independence of initial allocation in pollution markets." AEA RCT Registry. September 03. https://doi.org/10.1257/rct.16586-1.0
Experimental Details

Interventions

Intervention(s)
We will consider five treatments associated with the cap-and-trade trading scheme. In these treatments we vary the initial distribution of the pollution permits in systematic ways:
Treatment 1 (Equal distribution): In this treatment, all firms receive the same number of permits.

Treatment 2 (Emission-based grandfathering): In this treatment, permits are allocated in proportion to each firm's baseline emissions in the absence of pollution regulation.

Treatment 3 (Reversed emission-based grandfathering): In this treatment, permits are allocated in proportion to each firm's baseline emissions, but the shares are determined by the reverse ranking of firms' emissions relative to the total market emissions in the absence of pollution regulation.

Treatment 4 (Clean-firms exclusive): In this treatment, only cleaner firms receive permits, with each receiving an equal share of the total permits, while dirtier firms receive none.

Treatment 5 (Dirty-firms exclusive): In this treatment, only dirtier firms receive permits, with each receiving an equal share of the total permits, while cleaner firms receive none.
Intervention (Hidden)
Intervention Start Date
2025-08-25
Intervention End Date
2025-12-31

Primary Outcomes

Primary Outcomes (end points)
Permit price; coupon holdings; number of transactions; output; emissions; cost-effectiveness
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
distribution of emissions or abatement among polluters, and polluter profits
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
This study employs a laboratory experiment conducted in a standard university experimental economics lab, with participants recruited from a broader student population. Participants will be part of a single group of eight participants for the duration of the experiment.

This study builds on Friesen, MacKenzie, and Shen (2025), who implemented a related cap-and-trade experiment with a larger group size. In contract to the previous studies, which typically fix output and focus exclusively on permit trading, we allow for the impact of the output market by letting participants to make both output and permit trading decisions simultaneousely. This enables us to investigate how different allocation rules shape the interaction between product and permit markets.

The main experimental task in this study involves subjects making decisions about how many units of a fictitious good to produce. Each unit of product generates a fixed amount of revenue and emits an amount of pollution, which must be either covered by holding a pollution permit or by abating the emission at a cost. Participants will receive an initial endowment of free permits and can trade them through a double auction market. Participants' earnings will be proportional to the profits they make from production and trading permits. Participants will have different types varying in their production and abatement costs.

We consider five treatments associated with the cap-and-trade trading scheme. In these treatments we vary only the initial distribution of the pollution permits in systematic ways. Revenue and cost parameters are identical across the five treatments; the only difference lies in how the initial pollution permits are distributed, while the total number of allocated permits remain constant. In addition, the experiment elicits participants' risk preferences and standard demographic information, which will be used as control variables in regression specifications to account for individual heterogeneity in behaviour.
Experimental Design Details
Randomization Method
Participants will be recruited via email through the SONA system. They choose between a list of available sessions, and the session is randomized to a treatment before it is initialized.
Randomization Unit
Individual
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
30 groups of 8 subjects per group
Sample size: planned number of observations
240 subjects play the game repeatedly over 10 periods
Sample size (or number of clusters) by treatment arms
48 subjects per treatment (five treatments total)

The sample size is based on a companion experiment comparing cap-and-trade and tradable performance standard treatments, in which 6 independent groups of 12 subjects each produced significant differences in permit prices. In the current experiment, although we vary the initial distribution of permits among subjects and each group has 8 subjects, all other experimental conditions are similar to the previous cap-and-trade treatment. Therefore, we expect that 6 independent groups per treatment will retain sufficient power to detect meaningful differences in permit prices, if any, due to variations in the initial permit allocations.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
University of Queensland BEL LNR
IRB Approval Date
2025-08-29
IRB Approval Number
2025/HE000824

Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials