Field experimental evaluation of how experience with meat substitutes affects meat substitution and substitute adoption rates

Last registered on October 28, 2024

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Trial Information

General Information

Title
Field experimental evaluation of how experience with meat substitutes affects meat substitution and substitute adoption rates
RCT ID
AEARCTR-0013528
Initial registration date
April 30, 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
May 09, 2024, 2:11 PM EDT

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

Last updated
October 28, 2024, 11:57 AM EDT

Last updated is the most recent time when changes to the trial's registration were published.

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Primary Investigator

Affiliation
University Bern/ETH Zürich

Other Primary Investigator(s)

PI Affiliation
University of Bern
PI Affiliation
ETH Zürich
PI Affiliation
ETH Zürich
PI Affiliation
ETH Zürich

Additional Trial Information

Status
In development
Start date
2024-05-03
End date
2025-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
An increasing body of literature identifies consumption habits, particularly of affluent population segments, as an important barrier and key lever of climate change mitigation efforts (Creutzig et al., 2016; IPCC, 2022; Mundaca et al., 2019; Poore & Nemecek, 2018). One area of such currently unsustainable consumption habits are food consumption patterns threatening global food security due to high diet-related greenhouse gas emissions, land and water use, biodiversity loss, as well as negative health consequences (Clark et al., 2020; Crippa et al., 2021; IPCC, 2022; Scarborough et al., 2023; Willett et al., 2019). Thus, there is a growing consensus in the literature that a demand-side shift toward more plant-based diets is a key lever to sustainably change the food system and dietary patterns (Jetzke et al., 2020; Rosenzweig et al., 2020; Willett et al., 2019). This is due to animal foods having a higher inefficiency in water, energy, soil, and land usage compared to plant-based foods, for example, due to animal feed production (Poore & Nemecek, 2018). Further, excessive meat consumption increases the risk for different health problems, such as obesity, cardiovascular diseases, and cancer (Jetzke et al., 2020). Yet, despite the well-understood negative consequences of meat consumption, average global meat consumption levels are still increasing due to an overall increasing demand, especially in developing and emerging countries, while demand is stagnating mostly on rather high levels in industrialized countries (Jetzke et al., 2020; OECD & FAO, 2021). Thus, there is an urgent need for strategies to encourage demand-side shifts toward more plant-based diets.

With the so-called Planetary Health Diet, the EAT-Lancet commission proposes a sustainable and healthy diet that includes a maximum of 15 kilograms of meat per person per year (Willett et al., 2019). However, changing consumer behavior in the realm of food is challenging. Individuals typically do not base their consumption decisions on rational arguments, nor are they perfectly informed. Instead, individuals often rely on simple cues or heuristics (Kahneman et al., 1982; Montibeller & von Winterfeldt, 2015), such as perceived naturalness, feelings of disgust, or trust in the food industry (Siegrist & Hartmann, 2020). Additionally, previously formed habits play a significant role in food decision-making (Rees et al., 2018; Saba & Di Natale, 1998), particularly regarding meat consumption (de Boer & Aiking, 2017). Those deeply rooted food consumption habits result, amongst others, from culture, traditions, learned behavioral patterns, values, and the social environment, and are therefore not easily changed (Constantino et al., 2022; Hartmann & Siegrist, 2020; Kukowski et al., 2023).
One important enabling factor that is increasingly being discussed to accelerate a shift toward more plant-based diets are meat substitute products. In the last years, the market for plant-based meat substitutes, such as plant-based burger patties, sausages, cold cuts, etc., was growing exponentially, although it is still relatively small compared to the global meat market (Polaris Market Research, 2020). Due to economies of scale and technological learning, especially plant-based meat substitute products become increasingly available and more affordable for consumers, as well as more like meat regarding their taste, texture, and appearance (He et al., 2020; Smetana et al., 2021). Although different studies still find that meat substitute products are on average perceived to be inferior to meat regarding taste, texture, and price (Michel et al., 2021; Taylor et al., 2022), others find that meat substitutes are perceived positively, especially regarding animal welfare, health, and the environmental impact (Fesenfeld et al., 2024; Michel et al., 2021; Taylor et al., 2022). However, we lack causal evidence about how experience with such substitute affects future consumption of meat substitute (i.e., substitute adoption rates) and whether more substitute consumptions leads to significant reductions in meat consumption (i.e. meat substitution effects) (Cuffey et al., 2022; Neuhofer & Lusk, 2022; Zhao et al., 2022).

Several, mainly observational and/or survey experimental studies, highlight the essential role of familiarity and repeated (positive) experiences with meat substitutes in influencing individuals’ attitudes, intentions, and subsequently potentially behavioral patterns (Fesenfeld et al., 2023; Graça et al., 2019; Hartmann & Siegrist, 2017; Hoek et al., 2013; Van Bergen et al., 2024). While some of the observational and survey-based studies do not find any positive effects of substitute experience on meat substitution nor substitute adoption (e.g., Cuffey et al., 2022; Van Bergen et al., 2024), other studies suggest that growing exposure to meat substitutes might alter consumers’ product perceptions, substitute adoption and meat substitution – at least for some products (Fesenfeld et al., 2023, 2024; Zhao et al., 2022). Overall, existing studies are thus inconclusive regarding the effects of meat substitute experience on adoption rates and substitution effects. In particular, we currently lack field-experimental studies, in which randomly selected treatment group from a larger population representative sample gains repeated experiences with meat substitute and subsequently their attitudes as well as real-world purchasing behaviors are compared to a control group without the exposure treatment. In this study, we close this research gap by conducting a population-representative survey- and field experiment in Switzerland.

Here, we build on dual process models of human decision making (Chaiken & Trope, 1999; Kahneman, 2011; van der Linden, 2014). According to the theory, it is crucial to differentiate between affective (System I) and rational (System II) decision making. System I, the affective (experiential) decision making system makes rather unconscious, intuitive, automatic decisions with low cognitive effort based on learned behavior and experience. In contrast, System II, the analytical (deliberative) decision making system makes conscious and reflected decisions with higher cognitive effort based on logical thinking, knowledge, and the available information. In decision-making, both systems typically work together to help individuals navigate various cognitive tasks. Food consumption preferences and resulting food consumption choices are typically dominated by System I, which builds on past experiences (Godfray et al., 2018; Smith & DeCoster, 2000). Thus, becoming familiar with and tasting meat substitute products can be a crucial first step towards changing habitual consumption patterns. This is confirmed by several studies showing that familiarity with meat substitutes - i.e. building experience with such products by consuming them repeatedly - is necessary to establish favorable attitudes towards consuming them (Fesenfeld et al., 2023; Hellwig et al., 2022; Onwezen et al., 2022; Siddiqui et al., 2022; Szenderák et al., 2022).

Thus, in the present study we contribute to the literature by causally analyzing the impact of repeated meat substitute experiences with high-quality plant-based meat substitutes on the intention to reduce meat consumption, to increase meat substitute consumption, to support food policy measures, as well as on the revealed purchasing patterns over time. To experimentally evaluate this, we conduct a survey and a field experiment with a representative sample of Swiss residents (obtained from the Federal Statistical Office) in cooperation with the Swiss retailers Coop and Migros and the Swiss plant-based meat substitute producers Planted and Green Mountain. The study was approved by the ETH Ethics Commission. In the first part of the study, we conduct a first survey wave to get to know individuals’ attitudes and intentions on meat and meat substitute consumption, as well as other important control variables influencing food consumption behavior. Then we randomly assign individuals to either the control group getting no substitute products or the treatment group that receives a package with meat substitute products from the Swiss brand Planted and/or vouchers to get meat substitute products from the Swiss brand Green Mountain to cook at home (enough for about 2 dishes) after the first survey wave has been completed. Following the treatment phase, we conduct a second survey wave to ask individuals about their attitudes and intentions on meat and meat substitute consumption post treatment. In the second field experimental part of the study, we then causally evaluate the impact of the random meat substitute experience treatment on individuals’ food purchasing behavior over time by obtaining food purchasing data via Migros and Coop (based on previous informed consent of the survey participants). To our knowledge, this is the first study to collect longitudinal, experimental data from a representative sample on the meat substitution effect and substitute adoption effect of gaining experience with meat substitute products. Furthermore, the study allows causal inference about the effect of gaining experience with meat substitutes on the size of the intention-behavior gap. Several scholars have emphasized the need for such experimental studies (Fesenfeld et al., 2023; Kwasny et al., 2022; Nguyen et al., 2022; Onwezen et al., 2022; Taufik et al., 2019). Furthermore, this study aims to explore the mediating factors of the plant-based meat substitute experience treatment, examining their relationship with stated and revealed consumption adaptations, as well as changes in policy perceptions resulting from experience with meat substitute products.

Based on a review of the existing literature, we formulated the a number of testable hypotheses on the effects of the experience treatment. These hypotheses are outlined in the section "Experimental Details".
External Link(s)

Registration Citation

Citation
Fesenfeld, Lukas et al. 2024. "Field experimental evaluation of how experience with meat substitutes affects meat substitution and substitute adoption rates." AEA RCT Registry. October 28. https://doi.org/10.1257/rct.13528-1.1
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Experimental Details

Interventions

Intervention(s)
Independent variable: Experimentally varied treatment
The study consists of two survey waves with an interim meat substitute experience treatment period and a field experimental part in which we will receive retailer purchasing data from Coop and Migros for the period of 24-36 months prior to the experience treatment until about 12-24 months after the experience treatment.

In the following part, the choice of an experience treatment in between two survey waves followed by a field experiment will be justified as an appropriate method to answer the research question. This study's quantitative experience treatment part is a randomized controlled experiment with a control group that does not get treated and a group that receives meat substitute products to try at home. Participants will be randomly assigned to either the control or the treatment group. Due to randomization, the only systematic difference between the control and the treatment group should be the treatment, which allows estimating a causal effect of the treatment on the dependent variables, if the randomization works as intended and the sample is generally large enough (Stock and Watson 2020).

Due to the two survey waves, the first prior to the treatment and the second after the treatment, we can analyze the effect of the experience treatment on changes in attitudes and intentions towards meat and meat substitute consumption, as well as policy support. Moreover, the first survey wave is used to randomly assign participants to the control and the treatment group. In addition, a conjoint experiment is added to the second survey wave to randomly vary different policy attributes to assess the effects of these attributes on the participants’ food policy preferences (Hainmueller et al., 2014) and to determine the policy packages that are most likely also supported in real-world voting scenarios (Hainmueller et al., 2015). Further, the survey respondents are asked to share their Migros and/or Coop customer account numbers in the survey for the field experimental part of the study, such that we can later anonymously use the real-world food consumption purchasing data that is stored within their account to match them with the survey data and monitor potential changes in purchasing due to being assigned to the treatment.

All the survey participants in both waves are asked about their food purchasing and consumption habits, attitudes, perceived social norms, food purchasing intentions, and their policy support for different measures aiming to reduce meat consumption and increase meat substitute consumption.

Based on a review of the existing literature, we formulated the following testable hypotheses on the effects of the experience treatment.

Main effects
H1a: The experimental experience with plant-based meat substitutes positively affects intended meat substitute consumption (i.e., positive intended stated adoption effect).
H1b: The experimental experience with plant-based meat substitutes positively affects intended reduction of current meat consumption (i.e., positive intended stated substitution effect).
H2a: The experimental experience with plant-based meat substitutes will lead to an increase of observed meat substitute consumption (i.e. positive revealed adoption effect).
H2b: The experimental experience with plant-based meat substitutes will lead to a reduction of observed meat consumption (i.e. positive revealed substitution effect).
H3: The experimental experience with plant-based meat substitutes will affect observed (revealed) meat and meat substitute consumption less than the intended (stated) preferences for meat and meat substitute consumption (i.e. intention-behavior gap effect).
H4: The experimental experience with plant-based meat substitutes will increasingly reduce the observed (revealed) meat consumption and increase the observed (revealed) meat substitute consumption over time.
H5: The experimental experience with plant-based meat substitutes will increase respondents' stated support for stricter political regulation of the agri-food sector and policies to alter food consumption and production (i.e., policies fostering meat reduction, more plant-based food, more plant-based meat substitutes).
Mediators
H6: The experimental experience with plant-based meat substitutes will affect the intended (stated) and observed (revealed) meat and meat substitute consumption via
a) changes in respondents’ affective reactions towards the substitute product
b) changes in respondents’ evaluations of the substitute product, especially through,
i) changes in respondents’ product quality perceptions.
ii) changes in respondents’ product sustainability perception.
iii) changes in respondents’ product knowledge.
iv) changes in respondents’ perceived social norms.


Sponsors and Partners:
The study is publically funded by ETH Zurich (Speed2Zero project) and the Swiss Network for International Studies (Project on the political economy of meat system transformation, C2107). The study sample is based on a official population representative sampling frame provided by the Swiss Federal Statistical Office. The study has been approved by the ETH Ethics commission.

This survey and field experiment is developed and conducted in cooperation with the Migros Genossenschaftsbund and the Coop Genossenschaft, the two largest food retailers in Switzerland. Additionally, Planted Foods AG, a Swiss plant-based meat substitute producer as well as the retailer Coop provide the meat substitute products for the experience treatment (Planted products are delivered home to selected participants via the online shop of the Planted Foods AG and Green Mountain products are distributed via product vouchers that selected respondents can use in stores of the Coop Genossenschaft). The sponsoring companies do not have any influence on the study design or outcomes of this pure scientific study. The authors declare no competing interests. The funding of the larger project that this study is a part of is independent and neither sponsored by Migros, Coop, nor Planted. As part of the cooperation, Migros, Coop, and Planted will use the results of our independent scientific analyses as a source to evaluate and better understand potential substitute adoption rates and meat substitution effects induced by meat substitute product experiences.
Intervention Start Date
2024-06-04
Intervention End Date
2024-06-14

Primary Outcomes

Primary Outcomes (end points)
Stated intentions to reduce meat consumption
In both surveys, respondents will be asked about their intentions to decrease their future meat consumption. The items asked in both surveys, enabling us to compare both treatment and control group at both stages, are outlined below:
● How likely or unlikely they are to reduce their future meat consumption in general (7-point Likert scale from very unlikely - very likely).
● How likely or unlikely they are to reduce their future meat consumption in the next two weeks (7-point Likert scale from very unlikely - very likely).

Stated intentions to increase meat substitute consumption
In both surveys, respondents will be asked about their intentions to increase their consumption of meat substitutes. The items asked in both surveys, enabling us to compare both treatment and control group at both stages, are outlined below:
● How likely or unlikely it is that they are consuming plant-based meat substitute products in the future in general (7-point Likert scale from not open at all - completely open).
● How likely or unlikely it is that they are consuming at least one plant-based meat substitute product in the next two weeks (7-point Likert scale from very unlikely - very likely).
● Product choice task: Think of your next grocery shopping trip: How many of the following products are you going to purchase? Please indicate 0 if you do not intend to buy the product. (Participants will be given a selection of meat products from Migros and Coop – both conventional and organic – meat substitute products from Planted and Green Mountain, and conventional meat alternatives – Tofu, Seitan, etc. to choose from)

Policy support
In both surveys, respondents will be asked whether they oppose or support several described policy measures aiming to either increase the consumption of meat substitutes, or to decrease the consumption of meat.
● Whether they generally support or oppose political measures to expand plant-based food production and consumption in Switzerland (7-point Likert scale from oppose completely – support completely).
● Whether they generally support or oppose political measures to promote plant-based meat substitutes in Switzerland (7-point Likert scale from oppose completely – support completely).
● Whether they generally support or oppose political measures to reduce meat consumption in Switzerland (7-point Likert scale from oppose completely – support completely).
● Whether they think that the state should regulate the Swiss agricultural and food market less or more (7-point Likert scale from less - more).
● Participants are asked whether they support or oppose different types of specific food policy measures aiming to promote the consumption and production of meat substitute products (7-point Likert scale from oppose completely – support completely).
● Participants are asked whether they support or oppose different types of specific food policy measures aiming to reduce meat consumption (7-point Likert scale from oppose completely – support completely).
Primary Outcomes (explanation)
Conjoint Experiment
We also measure support for differently designed policy packages in a conjoint experiment in the second survey wave. The following paragraphs outline the introduction to the experiment, the seven policy package attributes, and the randomly varied policy attribute levels (see further details about the randomization in the section Randomization Method below).
Introduction to the conjoint experiment:
● This next part is about Swiss food and climate policy. Specifically, we will conduct a thought experiment with you in which we ask you to compare and evaluate alternative Swiss agricultural and food policy packages of measures that could be adopted in 2023. Each package of measures consists of various individual measures, all of which aim to reduce greenhouse gas emissions from the food sector to varying degrees. The following are the most important measures currently under discussion to reduce greenhouse gas emissions in the food sector:
o Financial government support for climate-friendly food (e.g., subsidies for plant-based nutrition). Effect: Reduction of prices for climate-friendly food products.
o Standards for producers (e.g., raising animal husbandry standards for meat producers). Effect: Producers are obliged to produce in a more animal-friendly way. This can lead to rising prices for animal products (e.g., meat).
o Taxes on meat products. Effect: The prices for climate-damaging foods, such as meat, rise faster than the prices for less climate-damaging foods.
o Restrictions (e.g., minimum proportion of meat-free dishes in public canteens). Effect: Reduces the consumption/use of particularly climate-damaging foods.
o Consumer information (e.g., mandatory government CO2 and animal welfare labeling on food). Effect: More transparency and more widely accessible information on the impact of food on climate and animal welfare.
o Abolition of state support for meat and feed producers. Effect: Increasing prices for animal products (e.g., meat).
● We will now start the thought experiment on Swiss food and climate policy. In four different rounds of voting, we will present you with two alternative packages of Swiss measures side by side. In each round, please carefully compare the two policy packages and indicate which one you like better. Some of the policy packages may be very similar. If you do not support either package, please choose the package you dislike less. You can then rate both packages on a scale from "Fully Disagree" to "Fully Support".


The different randomized policy package attributes and levels are the following:
● Government support
○ Strong subsidies (30% price reduction for plant-based food)
○ Subsidies (15 % price reduction for plant-based food)
○ No subsidies
● Standards for producers
○ Strong increase in animal husbandry standards
○ Increase in animal husbandry standards
○ No increase in animal husbandry standards
● Meat tax
○ Strong increase in meat tax (30 % price increase on meat products)
○ Increase in meat tax (15 % price increase on meat products)
○ No increase in meat tax
● Restrictions
○ At least 75 % meat-free dishes in public canteens
○ At least 50 % meat free dishes in public canteens
○ At least 25 % meat free dishes in public canteens
○ No restrictions
● Consumer information on climate impact of food products
○ Mandatory government climate labeling for food products
○ Voluntary government climate labeling for food products
○ No state climate compatibility for food products
● Consumer information on animal welfare impact of food products
○ Mandatory state animal welfare labeling for foodstuffs
○ Voluntary national animal welfare labeling for food products
○ No government animal welfare labeling
● Reduction of government support for meat and feed producers
○ Complete abolition for subsidies
○ Halving subsidies
○ No reduction of subsidies

Secondary Outcomes

Secondary Outcomes (end points)
Mediator variables
Other variables that are potentially affected by the treatment and must be answered by survey respondents include the mediators outlined below.
● Affective Meat Substitute Perception
o Open text entry option to write down associations that come to mind when thinking of plant-based meat substitutes
o Rating the idea of eating plant-based meat substitutes on a 5-point emotional scale (with emojis) from very negative to very positive
o General rating of plant-based meat substitutes (7-point Likert scale from very negative – very positive)
● Meat Substitute Quality Perception
○ Rating the overall experience with meat substitutes (7-point Likert scale from very negative - very positive)
○ Rating plant-based meat substitutes regarding different criteria such as taste, texture, level of processing, pricing, availability, ease of preparation, etc. (7-point Likert scale from very negative - very positive)
● Meat Substitute Sustainability Perception
○ Rating plant-based meat substitutes regarding different criteria such as climate compatibility, regionality, sustainable packaging, animal welfare, etc. (7-point Likert scale from very negative - very positive)
● Product Knowledge
○ General knowledge of and potential experience with different plant-based meat substitute brands on the Swiss market (three choices: “Yes, I know the brand and have tried the products”, “Yes, I know the brand but have never tried the products”, “No, I do not know the brand”)
○ Rating of experience with plant-based meat substitute products from Planted and Green Mountain (7-point Likert scale from very negative - very positive)
○ State whether or not different types of plant-based meat substitutes (e.g., plant-based burger patties, sausages, minced meat, etc.) have been consumed so far (multiple choice item)
○ Stating which out of four products (beef vs. chicken vs. plant-based meat substitutes, vs. pork) on average has the lowest environmental impact (true/false item)
○ Stating which out of four products (beef vs. chicken vs. plant-based meat substitutes, vs. pork) on average has the lowest water consumption (true/false item)
● Perceived Social Norms
○ Questions on the perceived social norms related to the perceived importance of the consumption of meat substitutes for the respondents' family, friends, coworkers, and the general Swiss population (7-point Likert scale from very important – not important at all)
○ Questions on the perceived social norms related to the perceived importance of the reduction of meat consumption for the respondents' family, friends, coworkers, and the general Swiss population (7-point Likert scale from very important – not important at all)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Survey Panel:
Participants are only eligible for the treatment group(s) if they provide their membership number (Cumulus card number for Migros or Supercard number for Coop) for one of the two retailer loyalty programs. Via the first survey wave, we identify meat-eating respondents with at least one completed membership number and that provided their confirmed consent to analyze their purchasing data. For these respondents we will have access to observed purchasing data from Coop and/or Migros. After the sampling of the first survey wave will be finished, we randomly assign around 1000-2000 respondents to the treatment(s) (i.e., Planted and/or Green Mountain product exposure, see details below) and control (i.e. no product exposure) groups of equal size. Balance checks will be conducted to test that randomization worked.

Conjoint Experiment:
We ask respondents to evaluate profiles that combine multiple randomly assigned attributes. We used a conjoint design of fully randomized paired profiles in which each respondent was shown profiles of two different hypothetical policy packages displayed side by side. Hence, each policy measure constituted an attribute in the package to which it belonged, and the attribute values were randomly assigned such that the two policy packages in each pair differed in one or more attribute values. This paired-profiles design was chosen because research suggests it performs well at reducing social desirability bias and replicating real-world behavior (Hainmueller et al., 2015). To help participants understand how the relevant policy measures function, before showing the pairs of policy packages, we showed a page with brief descriptions of each policy measure (see section Secondary Outcomes above).
Experimental Design Details
Not available
Randomization Method
Survey Panel:
The respondents in our two survey waves are drawn from the population register of the Federal Statistical Office (BfS) comprising Swiss residents. The BfS population register mirrors, besides random error and uneven response rates, the Swiss resident population. We used stratified random sampling with the strata language region (i.e. German or French speaking parts of Switzerland), gender (i.e. male or female), and urbanization level (i.e., urban, semi-urban, rural). In total, we invited around 30’000 Swiss residents in the French and German speaking part of Switzerland above the age of 18 years via letter (plus one reminder) to participate in the survey. We expect a response rate between 25-30 percent. Respondents that filled out the first survey wave are invited around 6 weeks later to participate in a short follow-up survey. For the second survey wave, we also invite people via email if they provided their email address in the first survey.

Conjoint Experiment:
In the conjoint experiment in the second survey wave, we used a customized JavaScript code in Qualtrics to randomly vary the attribute levels of different food policy packages consisting of seven different types of policies (see section Secondary Outcomes above).

Randomization Unit
Survey/field experiment: The unit of randomization will be individual respondents.
Conjoint experiment: The unit of randomization will be individual respondents and policy attributes within the conjoint experiment.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
4000-6000 Swiss residents above the age of 18 years living in the French- and German-speaking parts of Switzerland, the sampling design is not clustered
Sample size: planned number of observations
4000-6000 Swiss residents above the age of 18 years living in the French- and German-speaking parts of Switzerland
Sample size (or number of clusters) by treatment arms
Survey/Field experiment:
Control group: 1000-2000 respondents
Treatment group: 1000-2000 respondents (potentially, depending on the number of participants in the final sample that provide their informed consent to share their food purchase data, we can split the treatment into two or even three groups.
1. The first group will only receive free of charge plant-based meat substitute products from the brand Planted delivered home (on average 2 meals, number of delivered products depends on household size, 2 products for 1-2 people households, 4 products for 3-4 people households, 6 products for 5+ people households)
2. The second group will receive a voucher for two free products of the plant-based substitute products from the brand Green Mountain that can be used in any Coop store in Switzerland for two weeks after receiving the voucher.
3. The third group will receive both treatment 1 and 2 together.
In case, the effective sample size is too small to administer three treatments. The research team will only administer treatment 1 and 3 or treatment 3. The final decision on the number of treatment arms will be made after finishing the sampling of the first survey wave based on the effective number of participants that provided their informed consent to share their food purchase data.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials

Documents

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240430_References
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240430_References

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Uploaded At: April 30, 2024

IRB

Institutional Review Boards (IRBs)

IRB Name
Ethikkommission ETH Zürich
IRB Approval Date
2024-04-17
IRB Approval Number
EK-2024-N-85
Analysis Plan

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