Engagement Experiment with a Threat of Voting

Last registered on April 16, 2024

Pre-Trial

Trial Information

General Information

Title
Engagement Experiment with a Threat of Voting
RCT ID
AEARCTR-0013174
Initial registration date
April 16, 2024

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
April 16, 2024, 3:53 PM EDT

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

Locations

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Primary Investigator

Affiliation
University of St. Gallen

Other Primary Investigator(s)

PI Affiliation
University of St. Gallen
PI Affiliation
MIT Sloan School of Management

Additional Trial Information

Status
On going
Start date
2024-01-01
End date
2026-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This study aims to investigate the impact of shareholder engagement as a tool for sustainable investment, with a focus on the threat of voting. Specifically, a field experiment will be conducted to examine whether a minority shareholder's threat to vote against the TCFD report increases board-level accountability for sustainability. The aim is to offer concrete evidence on how investors can catalyze change and underscore the significance of a credible threat in engaging with companies on sustainability matters.
External Link(s)

Registration Citation

Citation
Heeb, Florian, Julian Kölbel and Camilla Weder. 2024. "Engagement Experiment with a Threat of Voting." AEA RCT Registry. April 16. https://doi.org/10.1257/rct.13174-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
We study the effect of investor engagement combined with a threat of voting against the TCFD report on the climate strategy of listed corporations.
Intervention Start Date
2024-02-16
Intervention End Date
2025-07-31

Primary Outcomes

Primary Outcomes (end points)
The dependent variable of this experiment indicates whether companies establish individual responsibility for ESG matters at the board level by naming one or several individuals in their official reporting to their investors by July 31, 2025. It is a binary variable derived from individual analyses of the official reports to the investors of 57 listed companies.
Primary Outcomes (explanation)
The outcome variable indicates whether the board has established a committee that deals with environmental, social responsibility, climate change, environmental sustainability or other issues that fall within the scope of environmental, social and governance (ESG) principles (committees that focus primarily on governance aspects do not fulfil the criteria). It is a binary variable and indicates whether companies establish individual responsibility for ESG matters at the board level by naming one or several individuals in their official reporting to their investors. Recognizing the essential role of examining the board's oversight of sustainability responsibility issues in corporate governance principles, and representing shareholders' interests, they are key targets for investor engagement, especially considering the measurable yet non-restrictive nature of the outcome variable.

To assess the impact of the intervention on the establishment of ESG committees, two complementary statistical methods will be used. First, a chi-square test will assess the independence between the treatment group (companies that received the threat) and the outcome variable (establishment of ESG committees). Second, a probit regression with controls will be performed by modelling the establishment of ESG committees as the dependent variable, with the treatment group indicator as the main independent variable. The aim is to provide comprehensive evidence on the effectiveness of the intervention in promoting the establishment of ESG committees in companies.

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Simple randomised field study with one treatment arm.
Experimental Design Details
Not available
Randomization Method
Randomisation was performed using a computer and R packages.
Randomization Unit
At the firm level.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
57 firms
Sample size: planned number of observations
57 firms
Sample size (or number of clusters) by treatment arms
28 firms treatment group, 29 firms control group
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number