The role of climate change adaptation in food consumption

Last registered on July 28, 2023

Pre-Trial

Trial Information

General Information

Title
The role of climate change adaptation in food consumption
RCT ID
AEARCTR-0011784
Initial registration date
July 25, 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
July 28, 2023, 2:00 PM EDT

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

Locations

Region

Primary Investigator

Affiliation
Gran Sasso Science Institute

Other Primary Investigator(s)

PI Affiliation
Gran Sasso Science Institute
PI Affiliation
CEIS, Tor Vergata University
PI Affiliation
University of Trento

Additional Trial Information

Status
Completed
Start date
2023-01-01
End date
2023-06-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
To incentivize farmers to invest more in resilient crops and farming technologies to face extreme weather events, a more conscious purchase habit that accounts for the farmers’ ecological production choices is needed. This could be achieved through a higher price premium for food that provides an additional environmental benefit. Therefore, we aim to identify possible channels through which policy measures, such as public information, may influence more adaptable food purchases to climate change.
To test the elasticity of green consumers’ demand in substituting a green product that requires higher inputs in terms of natural resources with a ”greener” one, we conduct a field experiment. We provide green consumers with more information about farmers’ decision to use a more resilient crop that is less productive in the short run but ensures prolonged water-saving capacity in drought circumstances. The experiment focuses on durum wheat cultivars employed to produce pasta. At the time of purchasing, consumers are unaware of the environmental impacts or the ecosystem services supply behind seemingly homogeneous food items, such as pasta made with different cultivars. However, the ancient cultivar Cappelli is able to tolerate high-temperature stress compared to more common and modern durum wheat.
We randomized our sample of around 3,000 individuals who made previous online purchases in the last three years on the Alce Nero website. Alce Nero is a leading player in terms of sales volume in the Italian organic sector, controlling also a structured network of more than 1,000 producers and processors at the national and international levels.
We developed two types of informative treatments: one more colloquial and one that uses scientific and graphic evidence of the water resource efficiency of the ancient wheat cultivar compared to the modern one. Both treated and controlled groups received by email a discount valid for any purchase only if they accept to answer a small survey on socio-demographic information and their motivation for buying organic food. One of the aims of the survey is to isolate the environmental concern to other possible “non-environmental” confounds, such as taste and health, that may either lead a consumer to buy Cappelli pasta; only the treated groups received the treatment on the front page of the survey. We employ three types of discounts 5%, 10%, and 20% to incentivize survey participation and observe the non-linear effect of price on demand.
The preliminary evidence of our study suggests that consumers exposed to the treatments switch from purchasing pasta made from the modern wheat cultivar to the more adaptive and resilient Cappelli wheat cultivar.
Overall, this study is a step forward in the literature regarding the environmental costs of food. We propose that the price premium for green products should not only reflect the trade-off between productivity and sustainability but also differentiate among those products that safeguard environmental services more effectively than others under conditions of high climate stress while maintaining a productive and resilient performance.
External Link(s)

Registration Citation

Citation
Castaldo, Cecilia et al. 2023. "The role of climate change adaptation in food consumption." AEA RCT Registry. July 28. https://doi.org/10.1257/rct.11784-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2023-02-05
Intervention End Date
2023-03-31

Primary Outcomes

Primary Outcomes (end points)
-Number of packets of pasta made by ancient and resilient wheat cultivar (Cappelli) and number of packets of pasta made by modern high-water input wheat cultivar bought after receiving the treatment.
-Share the total quantity of Ancient Cappelli wheat pasta over the total purchase of pasta bought after receiving the treatment.
-Share the total quantity of Modern wheat pasta over the total purchase of pasta bought after receiving the treatment.
-Total euro spent for Ancient Cappelli wheat pasta over the total purchase of pasta after receiving the treatment.
-Total euro spent for Modern wheat pasta over the total purchase of pasta after receiving the treatment.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The treatment is an information strategy about the water resource efficiency (WUE) of Cappelli that aims at increasing the quantity purchased of a more sustainable good and eventually replacing the product that requires major inputs and resource effort, to detect consumers’
WTP for higher environmental benefits derived from greater water savings associated with wheat Cappelli.
We would like to test whether this information will induce consumers to increase the demand for Cappelli pasta by adding packets to their carts. Thus, they would indirectly pay more for the environmental value because they buy an additional quantity of a “greener” substitute product once informed about the associated environmental benefits.
With this information, we intend also to quantify the real water savings and water use efficiency related to more consumption of pasta Cappelli compared to other types of pasta made from higher water-demanding wheat cultivars.

The research agenda will follow three main periods:
• T0: Randomising the sample according to discount level and type of treatment based on historical purchases: we randomize the sample according to region, municipality, municipality income, the quantity of pasta purchased in the past, the quantity of Cappelli wheat pasta purchased in the past, the quantity of Modern wheat pasta purchased in the past, total euro spent for Cappelli and Modern, the total quantity of pasta purchased during discount periods.
• T1: Sending a small survey via e-mail to all individuals in the sample. All customers will benefit from a discount if they answer the survey sent by email; the discount allows to maximize the number of users participating in the experiment. While the survey and dis-
the count will be sent to all eligible individuals, and only treated individuals will receive a message about the environmental benefits linked to the production of Cappelli durum wheat.
• T2: Detecting the persistence of the treatment without an economic incentive. We will be monitoring the purchases of all individuals who used the discount.
Experimental Design Details
Randomization Method
randomization done in office by a computer:
"randtreat" stata command
Randomization Unit
individual
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
1125 individuals
Sample size: planned number of observations
11180
Sample size (or number of clusters) by treatment arms
-97 individuals as control receiving 5% discount
-89 individuals with colloquial treatment receiving 5% discount
-98 individuals with numeric treatment receiving 5% discount
-217 individuals as control receiving 10% discount
-203 individuals with colloquial treatment receiving 10% discount
-223 individuals with numeric treatment receiving 10% discount
-97 individuals as control receiving 20% discount
-107 individuals with colloquial treatment receiving 20% discount
-94 individuals with numeric treatment receiving 20% discount

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

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