Accelerating the Green Transition: An Experimental Study with Portuguese Small Businesses

Last registered on December 06, 2023

Pre-Trial

Trial Information

General Information

Title
Accelerating the Green Transition: An Experimental Study with Portuguese Small Businesses
RCT ID
AEARCTR-0012569
Initial registration date
November 23, 2023

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
December 06, 2023, 7:51 AM EST

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
EBRD

Other Primary Investigator(s)

PI Affiliation
Nova School of Business and Economics
PI Affiliation
Imperial College London
PI Affiliation
Imperial College London

Additional Trial Information

Status
In development
Start date
2024-01-15
End date
2027-05-15
Secondary IDs
Nova IRB Approval Reference 202385
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Transitioning to green technologies can be daunting, especially for small and medium-sized enterprises (SMEs). SMEs face several barriers to reducing their energy consumption and carbon emissions: limited access to information and support; a lack of knowledge and expertise; complex regulations; and financial constraints. This project proposes to assess and quantify these individual deterrents and enablers of SMEs' energy efficiency, not in isolation but as part of an integrated framework. To do so, we will conduct a randomized field experiment on a representative sample of Portuguese SMEs. We will investigate whether better information provision, hands-on training, consultancy, and improved access to credit can improve energy efficiency and reduce carbon emissions. We expect these interventions (individually or together) to increase firms’ interest in greener technologies and shift their investment behavior toward such technologies.
External Link(s)

Registration Citation

Citation
Custodio, Claudia et al. 2023. "Accelerating the Green Transition: An Experimental Study with Portuguese Small Businesses." AEA RCT Registry. December 06. https://doi.org/10.1257/rct.12569-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
Enrolled firms will be randomly assigned to one of four groups: the control group or one of the three treatment groups - information provision, class training, or consulting. The information treatment involves disseminating general knowledge about the green transition and energy optimization via a video and flyer. The information will be customized according to the industry (primary, secondary, and tertiary). The class training program is more intensive and entails face-to-face or online sessions, providing SME managers with comprehensive training on energy-efficient measures. This training program also allows managers to interact with one another, exchange ideas, and seek clarification. The training will consist of a 6-hour training session. The consulting treatment offers firms an energy audit - individualized analysis and tailored advice on green transition strategies from a specialized consulting firm.

Upon completion of the energy-efficient program, a subset of firms within each treatment group will be selected randomly to receive a dedicated credit line. The credit line will provide the firms with the necessary funding to finance their planned green transition investments. The primary objective of this approach is to alleviate the common financial barriers that SMEs typically encounter when transitioning to more energy-efficient practices. Banco BPI will make the credit line available, but firms can opt out and choose another bank.
Intervention Start Date
2024-04-15
Intervention End Date
2025-04-15

Primary Outcomes

Primary Outcomes (end points)
The primary outcomes of interest are changes in energy usage and cost at the establishment level, as measured by the electricity distribution grid operator (e-redes), as well as through the baseline and follow-up surveys, which will cover other sources of energy such as gas, coal, fuel oil, etc. Energy usage will be quantified in kWh and kWh per unit produced, while energy costs will be assessed in euros. The study also seeks to investigate the extent of pollution and carbon emissions (tons of CO2 equivalent emissions) generated by the participating SMEs.
Primary Outcomes (explanation)
The primary outcomes of interest are changes in energy usage and cost at the establishment level, as measured by the electricity distribution grid operator (e-redes), as well as through the baseline and follow-up surveys, which will cover other sources of energy such as gas, coal, fuel oil, etc. Energy usage will be quantified in kWh and kWh per unit produced, while energy costs will be assessed in euros. The study also seeks to investigate the extent of pollution and carbon emissions (tons of CO2 equivalent emissions) generated by the participating SMEs.

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
After firms have completed the baseline survey, we will randomly assign (strata by firm size, sector, and location) them to either the control group or one of the three energy-efficient treatment groups. Out of a total sample of 2,400 firms, 1,200 will be assigned to the control group and the remaining 1,200 will receive energy-efficiency treatments, with 400 firms receiving information, 400 firms receiving training, and 400 firms receiving consulting. Treated firms will be contacted and requested to pay (0 for information, €50 for training, and €150 for consultancy) as a commitment device to discourage drop-outs and ensure continued participation in the experiment.

Once the energy-efficiency treatments have been completed, we will randomly allocate the credit treatment to 1,200 firms (200 from each energy-efficient treatment group for a total of 600 firms) and 600 firms from the energy-efficiency control group; there will be 1,200 firms without credit allocated.

Power calculations indicate that with a sample size of 2,400 firms, the minimum detectable effect (MDE) for the energy efficient treatment lies between 8.8 and 13.9 percent, and for the credit treatment between 10.2 and 16 percent.

To be more conservative, we conducted a power calculation for a smaller sample size of 1,800 firms. Of these, 900 firms will be assigned to the control group, and 900 firms will receive energy-efficient treatments (300 in each treatment group). For the credit treatment, 600 firms will be assigned to the control group and 600 will receive the treatment. The power calculation for this scenario shows that the MDE for the energy efficient treatment remains the same, while for the credit treatment, the MDE ranges from 12.5 to 19.6 percent.

The control group will not receive any treatment. Participants assigned to this group will be duly informed of their enrollment in the study. They will be requested to complete baseline and the post-intervention (follow-up) surveys.

As mentioned above, each enrolled firm will be randomly assigned into one of four groups, the control group, or one of three energy-efficient treatment groups: information provision, class training, or consulting:

Information treatment: The information treatment is the most `light touch'. It consists of a video and flyer in which companies receive general information about the green transition and how SMEs can optimize their energy consumption. The information will be based on the firm's sector. We will use the Qualtrics platform to deliver the information, enabling us to track if the firms view the information and for how long. There will be a survey to check knowledge acquisition at the end of the information treatment including questions about intent to change.

Class training: The class training is more intensive and consists of face-to-face or online sessions (and a follow-up online session using engineering students) in which SME managers are taught about energy-efficient measures. The managers will also have the opportunity to ask questions and exchange information. The training will be customized based on the firm's sector. There will be a survey to check knowledge acquisition at the end of the training treatment including questions about intent to change.

Consulting treatment: The consulting treatment consists of individual firms receiving detailed and customized green consulting analysis and advice from a specialized firm. There should be a survey to check knowledge acquisition and level of satisfaction at the end of the consulting treatment including questions about intent to change.

After the energy-efficient treatment, a fraction of firms in each treatment group will be randomly selected into the credit treatment group. This credit treatment allows firms to access a special line of credit for sustainability investments from Banco BPI. Firms are not obliged to obtain this credit from BPI and may seek better offers from other banks if available. Firms can apply for this line of credit up to after the end of the energy efficiency treatment; we will send reminders. There will be a survey after the credit treatment including questions about intent to change.
Experimental Design Details
Not available
Randomization Method
PC in office.
Randomization Unit
Firm.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
2,400
Sample size: planned number of observations
2,400
Sample size (or number of clusters) by treatment arms
Out of a total sample of 2,400 firms, 1,200 will be assigned to the control group and the remaining 1,200 will receive energy-efficiency treatments, with 400 firms receiving information, 400 firms receiving training, and 400 firms receiving consulting. Once the energy-efficiency treatments have been completed, we will randomly allocate the credit treatment to 1,200 firms (200 from each energy-efficient treatment group for a total of 600 firms) and 600 firms from the energy-efficiency control group; there will be 1,200 firms without credit allocated.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Power calculations indicate that with a sample size of 2,400 firms, the minimum detectable effect (MDE) for the energy efficient treatment lies between 8.8 and 13.9 percent, and for the credit treatment between 10.2 and 16 percent. To be more conservative, we conducted a power calculation for a smaller sample size of 1,800 firms. Of these, 900 firms will be assigned to the control group, and 900 firms will receive energy-efficient treatments (300 in each treatment group). For the credit treatment, 600 firms will be assigned to the control group and 600 will receive the treatment. The power calculation for this scenario shows that the MDE for the energy efficient treatment remains the same, while for the credit treatment, the MDE ranges from 12.5 to 19.6 percent.
IRB

Institutional Review Boards (IRBs)

IRB Name
Institutional Review Board of Nova School of Business and Economics
IRB Approval Date
2023-11-21
IRB Approval Number
202385