RESEARCH ARTICLE
Does prior knowledge of food fraud affect
consumer behavior? Evidence from an
incentivized economic experiment
Syed Imran Ali Meerza
ID
1
*, Christopher R. Gustafson
2
1 Department of Agriculture, Arkansas Tech University, Russellville, Arkansas, United States of America,
2 Department of Agricultural Economics, University of Nebraska-Lincoln, Lincoln, Nebraska, United States of
America
Abstract
This study uses a laboratory experiment to examine whether prior knowledge of food fraud
persistently affects consumer behavior. We invited regular consumers of olive oil to partici-
pate in an olive oil valuation experiment. We used a within-subject design to compare con-
sumers’ willingness to pay (WTP) for Italian extra virgin olive oil (EVOO) before and after
receiving information about labeling scandals in the Italian olive oil industry. After the first
round of bidding, but before introducing information about labeling scandals or otherwise
mentioning food fraud, we surveyed participants about whether they had heard of food
fraud. Results indicate that prior knowledge of food fraud plays an important role in explain-
ing consumers’ valuation behavior, both in the pre-information baseline bidding and in how
they update their valuation in response to information about a food fraud scandal. Consum-
ers who reported prior knowledge of food fraud partially accounted for the possibility of food
fraud in their initial pre-information valuation, submitting significantly lower bids than partici-
pants who did not report prior knowledge. They also reacted less to olive oil fraud informa-
tion than consumers who reported no prior knowledge of food fraud. Findings of this study
highlight the potential long-term consequences of increasing consumer awareness of food
fraud incidents on consumer WTP for products in industries that have experienced food
fraud scandals.
Introduction
In recent years, food fraud scandals have gained widespread attention. Some, such as the adul-
teration of Chinese milk with melamine, have had serious health consequences. The adultera-
tion of milk with melamine led to the deaths of at least six infants and the hospitalization of
over 50,000 [1]. Others, including the discovery of horsemeat in many European meat prod-
ucts, and the mislabeling of Italian olive oils, result in consumers receiving an inferior product
than what they paid for. These scandals highlight the vulnerability of the food system to inten-
tional adulteration or misrepresentation of products based on economic motives [2] [3] [4].
PLOS ONE | https://doi.org/10.1371/journal.pone.0225113 December 3, 2019 1 / 14
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Citation: Meerza SIA, Gustafson CR (2019) Does
prior knowledge of food fraud affect consumer
behavior? Evidence from an incentivized economic
experiment. PLoS ONE 14(12): e0225113. https://
doi.org/10.1371/journal.pone.0225113
Editor: Alberto Antonioni, Carlos III University of
Madrid, SPAIN
Received: August 18, 2019
Accepted: October 28, 2019
Published: December 3, 2019
Peer Review History: PLOS recognizes the
benefits of transparency in the peer review
process; therefore, we enable the publication of
all of the content of peer review and author
responses alongside final, published articles. The
editorial history of this article is available here:
https://doi.org/10.1371/journal.pone.0225113
Copyright: © 2019 Meerza, Gustafson. This is an
open access article distributed under the terms of
the Creative Commons Attribution License, which
permits unrestricted use, distribution, and
reproduction in any medium, provided the original
author and source are credited.
Data Availability Statement: All relevant data are
in the manuscript and its Supporting Information
file.
Funding: Financial support for the research came
from Dr. Gustafson’s Start-Up Research Fund,
The economic costs of a food fraud scandal can range from lost sales and bankruptcies to
adverse health consequences. For example, the total cost of the 2008 melamine milk scandal
was estimated to be 10 billion dollars, which included the costs associated with product recalls
and withdrawals, incident investigation, lost sales, decreases in shareholder value, and adverse
health consequences [1].
One of the principal concerns about food fraud is that it will lead consumers to develop a
baseline level of distrust in food product labeling [5], which will continue to affect consumer
behavior long after a documented incident of food fraud occurs. Interest in this question has
been heightened by increases in scientific and media attention to food fraud incidents. Accord-
ing to the United States Pharmacopeial Convention (USP), which monitors food fraud inci-
dents, the total number of food fraud incidents in the two years from 2011 to 2012 was 60
percent as high as in the three decades between 1980 and 2010, while media coverage of food
fraud incidents were nearly 80 percent as high [6] [7]. As more consumers become exposed to
regular reports about food fraud incidents, it may affect their subjective perception that food
products are mislabeled, leading them to maintain behaviors that they adopted to avoid sus-
pected fraudulent products over long periods of time that previously only would have occurred
in response to a specific food fraud incident.
Despite growing evidence of the widespread occurrence of food fraud, there is a paucity of
empirical work documenting the impacts of fraudulent producer behavior in food markets on
consumer decision-making. The empirical research that does exist is either experimental, with
researchers directly exposing participants to information [8] [9], or tied to specific mislabeling
events [10]. For instance, [10] use scanner data to examine German consumer behavior before
and after a food fraud event that received extensive media attention in Germany. In the experi-
mental literature, [8] studied hypothetical ready-to-eat meal choices of consumers across six
European countries after the horsemeat scandal that occurred in Europe in 2012 in an online
experiment and [9] estimated consumer response to exposure to food fraud information in an
incentivized economic valuation experiment. A recently published study surveyed consumers
on their opinions about food fraud [11]. In each of these studies, authors document that con-
sumers are highly concerned about food fraud. [11]find that consumers develop strategies to
avoid fraudulent food products and [9]results even suggest that food fraud information spe-
cific to products from one country spills over to products from other, unimplicated countries.
In this research, we address the effect of prior exposure to information about food fraud on
consumer behavior in an economic valuation experiment. An experiment offers researchers
the opportunity to generate data that would be difficult or impossible to obtain from secondary
sources. To examine whether individuals begin to behave differently after exposure to food
fraud incidents, it is vital to have a measure of individuals’ prior exposure to food fraud, which
would typically be an unobserved variable in data generated in real-world settings. For
instance, in the study by [10], which used supermarket scanner data, the authors constructed
an index of media coverage of the relevant food fraud incident because no information was
available about whether each individual whose decisions were captured in the data had seen
information about the food fraud event. The experimental setting, on the other hand, permits
the researchers to directly elicit data on participants’ prior exposure to information about food
fraud incidents.
This valuation experiment features two rounds of elicitation of participants’ willingness to
pay (WTP) for a food product that has frequently been identified in food fraud articles: extra
virgin olive oil (EVOO). When the first round of WTP elicitation occurred, participants had
received no indication that food fraud would be a topic of interest in the study. After partici-
pants submitted their valuation in the first round, they completed a short survey that included
questions about prior knowledge of any—not solely EVOO-related—food fraud incidents.
Does prior knowledge of food fraud affect consumer behavior?
PLOS ONE | https://doi.org/10.1371/journal.pone.0225113 December 3, 2019 2 / 14
which was provided by IANR, UNL. The funder had
no role in study design, data collection and
analysis, decision to publish, or preparation of the
manuscript.
Competing interests: The authors have declared
that no competing interests exist.
Upon completion of this survey, participants then read a short article about EVOO mislabeling
incidents. Next, participants submitted their valuation for EVOO again.
If exposure to food fraud information influences consumers persistently, we expect to
observe two patterns in consumer behavior, which would be observable in data generated in a
valuation experiment involving rounds of bidding before and after the receipt of information
about food fraud. These expected patterns constitute the two hypotheses we examine in this
article. Our first hypothesis is that consumers with prior knowledge of food fraud value the
EVOO less on average than consumers without prior knowledge of food fraud at baseline (that
is, in the absence of specific food fraud information). Our second hypothesis is that partici-
pants with prior knowledge of food fraud respond less to the information about food fraud.
We examine differences in behavior between individuals with prior knowledge of food
fraud, or knowledgeable consumers, and those without prior knowledge of food fraud,
unknowledgeable consumers, in two ways to evaluate whether previous exposure to food fraud
information affects long-term consumer valuation of food products. First, we compare the val-
uation of EVOO for knowledgeable and unknowledgeable participants before they had
received any indication that the experiment involved mislabeling or food fraud. Because par-
ticipants had not received any materials that even mentioned food fraud, differences in valua-
tion between knowledgeable and unknowledgeable participants, controlling for variation in
individual characteristics, should be driven by differences in the consumers’ own background
knowledge and subjective estimates of the probability that food is fraudulently labeled. Second,
we examine how knowledgeable and unknowledgeable participants update their WTP after
receiving information about food fraud in EVOO markets. We expect that knowledgeable par-
ticipants should change their WTP less than unknowledgeable participants.
Experimental design and procedure
We received clearance from the University of Nebraska-Lincoln (UNL) Institutional Review
Board to conduct this research (20170616958 EX). The design of the experiment did not
include deception of research subjects. The experiment was conducted in the Experimental
and Behavioral Economics Lab at the University of Nebraska-Lincoln between September and
November 2017. Since olive oil is one of the food categories most vulnerable to food fraud
(Johnson 2014) and incidents of Italian olive oil fraud have been well documented [12] [13],
Italian EVOO was chosen for this study. We recruited olive oil consumers by posting flyers in
supermarkets and specialty food stores that provided information about how to register to par-
ticipate in the experiment. A total of 107 olive oil consumers participated in this study. Written
consent from study participant was obtained after explaining the laboratory experiment proce-
dure. Each participant received a $30 participation fee, which was paid in cash when the exper-
iment was completed. The experiment was programmed and delivered using Qualtrics
(https://www.qualtrics.com/).
To test our hypotheses about persistent changes in consumers’ expectations about the
veracity of food product claims due to previous exposure to food fraud information leading to
behavior change, we designed a multi-stage laboratory valuation experiment. After researchers
led participants through an explanation of how the laboratory valuation experiment worked
and a practice experiment with candy, participants valued Italian EVOO in a binding experi-
mental auction. The first round of value elicitation occurred prior to any mention of food
fraud or mislabeling.
After participants had submitted their valuations, they completed a short survey, which
included a question about whether participants had been exposed previously to information
about food fraud: “Had you heard about food fraud before coming to the study today?” If
Does prior knowledge of food fraud affect consumer behavior?
PLOS ONE | https://doi.org/10.1371/journal.pone.0225113 December 3, 2019 3 / 14
exposure to food fraud information causes persistent changes in consumer valuation of prod-
ucts, knowledgeable consumers should submit lower pre-information bids for the EVOO.
Next, all participants read a short article about incidents of mislabeling in the Italian olive oil
market (see Appendix). At this point in the experiment, all participants had been exposed to
information about food fraud, but the effect of the information provided in the experiment dif-
fers by consumer type. For unknowledgeable consumers, the text provides novel information
about the existence of food fraud, while for knowledgeable consumers, the particular informa-
tion—mislabeling scandals in the Italian EVOO industry—may be new, but the existence of
food fraud is not. After reading the text about Italian EVOO mislabeling, participants then
completed a second round of valuation of EVOO. Changes in valuation bids between the first
and second round provide data to test our second hypothesis. Because the EVOO mislabeling
text affects knowledgeable and unknowledgeable consumers’ information sets differently, we
expect that knowledgeable consumers’ bids will change less than unknowledgeable consumers’
bids in the second round of bidding.
We used the demand-revealing Becker-DeGroot-Marschak (BDM) mechanism [14] to
elicit consumers’ valuation of Italian EVOO. In the BDM mechanism, subjects submit a bid,
representing their maximum WTP, for a good that is presented to them by the experimenter.
After the subject has submitted their bid, an “experiment” price is randomly drawn from a dis-
tribution of prices. If the bid is higher than the randomly drawn experiment price, the partici-
pant purchases the good but pays only the experiment price. If the bid is lower than the
experiment price, the participant does not purchase the good. Therefore, the amount the sub-
ject pays is independent of their bid, creating an incentive to value the product truthfully [14].
One of the advantages of the BDM mechanism is that it eliminates the possibility of bid affilia-
tion among participants [15]. Bid affiliation describes a situation in which participants’ bids
become increasingly similar over multiple rounds of an experimental auction. While in other
experimental auctions, such as the Vickrey Auction [16] or random nth price auction [17],
participants’ learn the winning bid—which identifies part of the bid distribution, the random
experiment price in the BDM mechanism obviates bid affiliation.
Since the main objective of this study is to evaluate long-term effects food fraud events
on consumer behavior by examining differences in the WTP of both consumers with prior
knowledge and consumers without prior knowledge of food fraud across two informational
conditions, avoiding bid affiliation is important. The threat of bid affiliation is particularly pro-
nounced when some participants are unfamiliar with (or uninformed about) a product or
attribute [18], though other researchers have documented bid affiliation even in experimental
auctions for familiar products [15].
To avoid bid reduction in multi-unit auctions, at the end of the experiment, one round and
one EVOO was randomly selected for each participant. The participant’s WTP for that EVOO
was compared to the randomly drawn experiment price to determine whether the participant
would purchase the EVOO or not.
To account for potential differences in response to information about food fraud at differ-
ent price levels, participants valued a high-priced and a low-priced Italian EVOO. The shelf
prices of the high- and low-priced Italian EVOOs were $29 and $9, respectively, but partici-
pants were informed of a range of prices in which the bottles were sold. Participants were told
that one EVOO was sold in the $25–30 price range, while the other was sold in the $5–10 price
range. The size of each EVOO bottle was 500 ml (see Table 1).
Once all of the participants in a session had arrived at the laboratory, a researcher explained
the experimental procedure. After completing a practice round to familiarize participants with
the valuation mechanism and the computer interface, the experiment began. In the first
round, participants were asked to submit their maximum WTP for the two different bottles of
Does prior knowledge of food fraud affect consumer behavior?
PLOS ONE | https://doi.org/10.1371/journal.pone.0225113 December 3, 2019 4 / 14
Italian EVOO. Note that at this stage participants had not received any information about
food fraud. Participants viewed the images of high- and low-priced Italian EVOO bottles on
the computer screen. The country of origin, bottle size, and shelf price range were displayed
alongside the images of the bottles. The EVOO bottles featured in the experiment were dis-
played in a random order to eliminate order effects. After bidding on both bottles of EVOO,
participants completed a short survey on prior knowledge of food fraud and their perceptions
of food fraud. This short survey was conducted after participants submitted their first-round
bids in order to avoid unintentionally priming them to think more about the possibility
that the products in the experiment might be mislabeled than they would under normal
conditions.
Prior to the second round of bidding, participants read an article about the Italian olive oil
industry and mislabeling scandals. After reading information about food fraud in the Italian
olive oil industry, participants again submitted bids for the same set of Italian EVOO bottles.
This was followed by surveys regarding demographic characteristics (e.g., age, gender, income,
and education level) and olive purchasing behavior (e.g., types of olive oil purchased, quantity
consumed per month, and average price spent per bottle). After the completion of the surveys,
the random experiment price and EVOO bottle were drawn to determine the outcome of the
experiment for each subject.
Descriptive statistics and estimation strategy
Slightly more than one-third (36 percent) of participants reported having prior knowledge of
food fraud, while 64 percent of participants reported no knowledge of food fraud. Table 2 sum-
marizes data on participants’ pre- and post-information WTP for Italian EVOO and their
prior knowledge of food fraud. The unconditional (i.e., pooled across price levels) mean WTP
for Italian EVOO was approximately $10. Participants’ mean WTP for high-priced Italian
EVOO was $18.54 before receiving information about Italian olive oil fraud; the average WTP
decreased to around $10.36 after consumers were exposed to the information about Italian
Table 2. Summary statistics of willingness to pay for extra virgin olive oil.
Variable Mean SD Min Max
WTP overall 10.09 7.76 0 32
High-Priced EVOO
Before receiving olive oil fraud information 18.54 7.60 3 32
After receiving olive oil fraud information 10.36 7.01 0 26
Low-Priced EVOO
Before receiving olive oil fraud information 7.53 3.14 1.2 15
After receiving olive oil fraud information 3.91 2.89 0 12
Source: Data from the experiment
https://doi.org/10.1371/journal.pone.0225113.t002
Table 1. Descriptive information of olive oil used in the experiment.
Type of EVOO Bottle Size Shelf Price
Italian High-priced EVOO 500 ml $29
Italian Low-priced EVOO 500 ml $9
Notes: Prices of Italian EVOO reflect non-sale shelf prices observed in the study area during the data collection
period.
https://doi.org/10.1371/journal.pone.0225113.t001
Does prior knowledge of food fraud affect consumer behavior?
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olive oil fraud. Mean WTP for low-priced Italian EVOO fell from $7.53 before information
about food fraud to $3.91 afterwards.
Table 3 shows the summary statistics of participants’ demographic characteristics, olive oil
consumption habits, and perceptions of the frequency of food fraud occurrence. We examine
these variables separately for consumers with and without prior knowledge of food fraud.
Table 3 also reports the Fisher’s Exact Test to investigate whether consumers with prior knowl-
edge of food fraud (knowledgeable) are similar to consumers without prior knowledge
(unknowledgeable) in terms of demographic characteristics and olive oil consumption habits.
The composition across the groups knowledgeable and unknowledgeable is unbalanced only in
terms of age (p = 0.02). There is also a marginally significant difference in olive oil consump-
tion between knowledgeable and unknowledgeable consumers (p = 0.07). These two groups
are balanced in terms of all other individual characteristics (Table 3).
To examine the role of prior knowledge of food fraud in consumers’ baseline WTP for
EVOO and response to food fraud information, this study employs regression techniques that
make use of the panel structure of this dataset. We regress consumers’ WTP for Italian EVOO
on the dummy variables that capture differences in information, price level, and prior knowl-
edge while taking into account control variables, including demographic characteristics, per-
ceptions of the frequency of food fraud, and olive oil purchasing behavior:
WTP
it
¼ b
0
þ b
1
Inf fraud
t
þ b
2
Highpriced EVOO
it
þ b
3
Highpriced EVOO
it
Inf fraud
t
þ b
4
Knowledgeable
i
þ b
5
Knowledgeable
i
Inf fraud
t
þ X
=
i
θ þε
it
ð1Þ
where WTP
it
denotes the WTP of participant i observed at time t (t = 0 represents the pre-food
fraud information stage; t = 1 represents the post-food fraud information stage). Inf_fraud
it
is
a dummy variable that captures the effect of receiving information about Italian olive oil fraud
on WTP. The dummy variable Highpriced_EVOO
it
identifies high-priced bottles of EVOO
(1 = high price; 0 = low price), while Knowledgeable
i
captures participants with prior knowl-
edge of food fraud (1 = prior knowledge; 0 = no prior knowledge). Further, X
i
is a vector of
participant characteristics and ε
it
is an i.i.d. standard normal error term.
The panel regression model in Eq 1 includes four observations for each of the 107 partici-
pants bidding for Italian EVOO bottles (both high- and low-priced) before and after receiving
information about Italian olive oil fraud, resulting in 428 total bids. Since the laboratory
experiment is designed in such a way that all participants are exposed to the same information
treatment, and the values of the variables related to consumers’ characteristics do not
change across time (i.e., these variables are time-invariant), the random effects (RE) panel
specification is appropriate. We use standard errors that are cluster-corrected at the individual
level.
Results
Table 4 presents the results of the panel regression model analyzing the effect of prior knowl-
edge of food fraud on consumers’ response to food fraud incidents. Regression results show
that the WTP of knowledgeable consumers is $2.09 lower than the WTP of unknowledgeable
consumers in the round of bidding that occurred before participants were exposed to food
fraud information. This result is statistically significant at the 1% level. After receiving infor-
mation about Italian olive oil fraud, unknowledgeable consumers’ valuations for low-priced
Italian EVOO decreased by $4.42, which is statistically significant at the 1% level, while their
WTP for high-priced Italian EVOO fell by $9.07. While both knowledgeable and unknowl-
edgeable participants decreased their valuations after being exposed to information, knowl-
edgeable participants reacted less to the information. Unknowledgeable participants’ bids fell
Does prior knowledge of food fraud affect consumer behavior?
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Table 3. Summary statistics of control variables.
Variables Group Total
(N = 107)
p-value
Unknowledgeable
(N = 69)
Knowledgeable
(N = 38)
Gender 0.54
Male 38% 45% 40%
Female 62% 55% 60%
Education 0.26
Graduate Degree 25% 39% 30%
Bachelor’s degree 19% 24% 21%
Associate Degree/Some College 27% 16% 23%
No College 29% 21% 26%
Age 0.02
19–35 years 94% 76% 88%
36–49 years 4% 19% 9%
50+ 2% 5% 3%
Income 0.14
<60,000 68% 63% 67%
60,000–99,999 6% 16% 9%
100,000 and above 7% 13% 9%
Prefer not to answer 19% 8% 15%
Olive Oil Consumption (monthly) 0.07
Greater than 1 liter 6% 16% 9%
1 Liter 94% 84% 91%
Types of Olive Oil Purchased 0.39
EVOO 64% 74% 67%
Other Types but Not EVOO 36% 26% 33%
Price Paid Per Bottle (on average) 0.49
10$ 54% 50% 52%
10$–20$ 42% 50% 45%
20$ 4% 0% 3%
Participant Perceptions
% of mislabeling
0.16
0–50% 97% 89% 94%
51–75% 3% 8% 5%
75% 0% 3% 1%
Participant Perceptions
% of Domestically (U.S.) Produced Food Products Tested by US Food and Drug Administration (FDA)
0.90
0–50% 50% 52% 50%
51–75% 31% 32% 31%
75% 19% 16% 19%
Participant Perceptions
% of Imported Food Products Tested by US Food and Drug Administration (FDA)
0.78
0–50% 61% 61% 61%
51–75% 22% 26% 23%
75% 17% 13% 16%
Note: The reported p-values are from Fisher’s Exact Test.
: p5%,
: p10%.
https://doi.org/10.1371/journal.pone.0225113.t003
Does prior knowledge of food fraud affect consumer behavior?
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by $2.27 more than knowledgeable participants’ bids, which is statistically significant at the 1%
level.
Fig 1 depicts mean estimated WTP averaged across low and high-priced EVOOS of partici-
pants with and without prior knowledge of food fraud before and after receiving Italian olive
oil fraud information. As depicted in Fig 1, before receiving any information about Italian
olive oil fraud, participants who reported prior knowledge of food fraud were willing to pay,
on average, $1.60 less for Italian EVOO than participants without prior knowledge of food
fraud. This result is statistically significant at the 5% level. However, after receiving informa-
tion about Italian olive oil fraud, there is no statistically significant difference in WTP of partic-
ipants with and without prior knowledge of food fraud. In other words, before being treated
with Italian olive oil fraud information, knowledgeable consumers bid significantly less than
unknowledgeable consumers. After being treated with Italian olive oil fraud information, there
is no meaningful difference in WTP. Therefore, Fig 1 further reinforces our key results that
Table 4. Effects of prior knowledge of fraud on consumers’ response to food fraud information.
Independent variables WTP for Italian EVOO
Inf_fraud (1,0) -4.418
(0.456)
Highpriced_Evoo (1,0) 11.016
(0.622)
Highpriced_Evoo
Inf_fraud -4.565
(0.550)
Knowledgeable -2.089
(1.077)
Knowledgeable
Inf_fraud 2.269
(0.900)
Olive Oil Consumption Behavior
Olive Oil Type (1,0) -0.369 (0.891)
Liters Consumed per Month -0.0004 (0.0001)
Price Paid per Bottle (on average) 0.279
(0.122)
Perceptions of Food Fraud
Percentage of Mislabeling 0.032 (0.023)
Percentage of Domestically (U.S.) Produced Food Products Tested by FDA 0.001 (0.016)
Percentage of Imported Food Products Tested by FDA 0.029 (0.20)
Demographic Characteristics
Gender (1,0) -0.982 (0.802)
Age 0.064 (0.086)
Education (reference: no college education)
Graduate Degree -1.594 (1.390)
Bachelor’s degree -0.916 (1.167)
Associate Degree/Some College -0.486 (1.142)
Income (reference: prefer not to answer)
<60,000 0.433 (1.033)
60,000–99,999 1.486 (1.700)
100,000 and above 2.461 (1.644)
Constant 2.584 (2.879)
R
2
0.53
Wald χ
2
574.90
Number of observations 428
Note:
: p1%,
: p5%,
: p10%.
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prior exposure to information about food fraud is an important factor in explaining consumer
behavior in the presence of food fraud.
Discussion and conclusions
This laboratory valuation experiment examines the role of prior knowledge of food fraud on
knowledgeable (those with prior knowledge) and unknowledgeable (those without prior
knowledge) consumers’ baseline valuation of products—perhaps due to persistent, long-term
changes in their subjective probability of products being mislabeled—and on consumers’
response to food fraud information. We use participants’ bids in the first round, before any
mention was made of food fraud or mislabeling, to examine differences in baseline valuation
of EVOO between knowledgeable and unknowledgeable consumers. We then examine
changes in bids after participants read a text about food fraud incidents in the Italian olive oil
industry to evaluate how knowledgeable and unknowledgeable consumers respond to
information.
The analyses of the data show that before receiving information about Italian olive oil
fraud, knowledgeable participants’ WTP for Italian EVOO is significantly lower than
unknowledgeable participants’ WTP. This result indicates that knowledgeable participants
(i.e., consumers with prior knowledge of food fraud) partially account for the possibility of
food fraud in their initial bids. The analysis also shows that after receiving information about
Italian olive oil fraud, participants reduced their valuation of Italian EVOO, irrespective of
their prior knowledge of food fraud. However, unknowledgeable participants decreased their
valuation more than knowledgeable participants after exposure to Italian olive oil fraud infor-
mation, indicating that knowledgeable participants are less responsive to new information
about food fraud incidents. Both of these patterns are consistent with food fraud information
having persistent, long-lasting effects on individuals’ perceptions of the credibility of producer
claims about credence or experience attributes. Our findings suggest that knowledgeable par-
ticipants have already changed their behaviors to account for the possibility that olive oil—a
product that has had many widely publicized mislabeling scandals (e.g., [12], [13], [19])—is
Fig 1. Mean estimated WTP of participants with and without prior knowledge of food fraud before and after
receiving information about mislabeling scandals in the Italian EVOO industry, averaged across low-price and
high-price-range EVOOs with 95% confidence intervals.
https://doi.org/10.1371/journal.pone.0225113.g001
Does prior knowledge of food fraud affect consumer behavior?
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fraudulently labeled and therefore react less to Italian olive oil fraud information than
unknowledgeable participants.
Do consumers with prior knowledge of food fraud incidents behave differently? Since the
intensity and frequency of food fraud have been on the rise and the media cover these scandals
widely [7], the importance of this question has grown significantly. Our study finds that
knowledgeable participants accounted for the possibility of food fraud before they had received
any indication that the experiment involved mislabeling or food fraud. This behavior suggests
that their baseline level of distrust in food product labeling differs from unknowledgeable par-
ticipants. Moreover, they were less reactive to food fraud incidents since they already consid-
ered this possibility in their initial bids. Results of this study suggest that exposure to regular
reports about food fraud may affect consumers’ subjective perception of the accuracy of food
labels. As a result, in the presence of food fraud scandals, consumers with prior knowledge of
food fraud behave differently than consumers without prior knowledge of food fraud.
The pattern of results suggests that the increasing amount of media attention on food fraud
incidents—potentially resulting in a growing percentage of the population internalizing the
possibility of food fraud—could lead to the lemons problem [20]. If consumers exposed to
information about food fraud incidents come to distrust product labeling, their valuation of
these products is likely to decrease, which may mean that higher quality products will not be
able to compete in the market if producers are unable to effectively signal that quality to con-
sumers. While a solution to the asymmetric information problem already nominally exists in
the market for EVOO—that is, quality certification, food producers are able to fraudulently
label their products due to a lack of monitoring and oversight by the organizations responsible
for certification systems, which may be governmental or private entities. Increasing the
amount of funding available to monitor for mislabeled or adulterated products may be neces-
sary to reduce the number of incidents of food fraud and maintain consumer trust in food
labeling systems.
This study also contributes to a growing area of research that examines the effect of individ-
uals’ home-grown knowledge on economic decision-making. Most of this literature examines
the effect of consumer knowledge in markets that feature informational complexity, such as
branded vs. unbranded products (e.g. [21]), investment decisions ([22]; [23]), or wine ([24]
[25]). For instance, [2]find that high-knowledge consumers respond more to objective infor-
mation about wine than low-knowledge consumers. While our results are contrary to [25]—
knowledgeable consumers in our study respond less to information, having apparently already
accounted partially for the information—there is an important distinction. In the current
research, consumers’ prior knowledge about fraudulent food labeling appears to spill over to
other food products—an effect documented in [9] in the context of decreases in consumer val-
uation of olive oils from different countries in response to negative information about one
country—while [25] examined consumers’ changing valuation for wine in response to receipt
of objective information commonly provided on wine labels.
There are a few limitations to our study. As this research represents a first pass at examining
whether previously encountered food fraud information influences consumer behavior, we do
not have data on certain variables that would allow us to more accurately describe the relation-
ship between exposure to food fraud information and subsequent consumer behavior. For
instance, we did not collect information about how many times participants had been exposed
to information about food fraud, how long ago they had been exposed, or what specific food
industries were implicated in the food fraud information they had encountered. Each of these
may be an important determinant of persistent changes in consumer response to information.
Consumer behavior following repeated exposure to information about food fraud incidents
may be nonlinear, which could result in significant increases in consumer distrust of food
Does prior knowledge of food fraud affect consumer behavior?
PLOS ONE | https://doi.org/10.1371/journal.pone.0225113 December 3, 2019 10 / 14
labeling systems after observing a particular number of food fraud incidents. Future research
should focus on teasing out the relationship between number of exposures and relevant out-
comes, such consumers’ subjective expectations of the trustworthiness of product labeling.
The temporal proximity of exposure to food fraud information may also impact consumer
response. There is relatively little relevant research in this area, though there are two studies
that have examined the effect of time on information response in the context of food safety
[26] and controversial technologies [27]. (Dillaway, Messer, Bernard, & Kaiser, 2011) find that
the effect of a food safety event on consumers’ WTP for chicken persists over time, while
changes in WTP detected immediately after a single exposure to information about the use of
controversial technologies, such as GMOs and meat irradiation, had eroded in a follow-up lab
session [27]. There may also be an interaction effect between the number of exposures to food
fraud information and the temporal distribution of those exposures on consumers’ behavior.
More work needs to be completed to understand differences in the effect of information on
consumer decision-making over time.
Consumers may also respond differently to food fraud information based on the relevance
of the product implicated in the scandal to them. In this research, we screened participants to
ensure that they purchased and consumed olive oil, but we did not collect information about
what products they had encountered food fraud information about. Participants who had
previously read reports about the misrepresentation of seafood [28] may have valued olive oil
differently in the pre-information round than participants who had read about olive oil misla-
beling. More generally, it is possible that the probability that information about food fraud
events affects one’s long-term behavior may be affected by the relevance of the product cate-
gory to the individual, perhaps because individuals are more likely to pay attention to informa-
tion that is relevant to them [29].
A related issue that may have implications for these results is highlighted in a recent article.
Based on survey results, Helen et al. [11] report that consumers develop strategies to avoid
fraudulently labeled food products. In our experiment, we, the researchers, determined which
olive oils the participants observed and valued. Imposing exogenously selected products on
consumers permits identification of the effect of food fraud information on changes in con-
sumer valuation but it does so only in the context of that exogenously selected product. If con-
sumers were able to engage strategies they had developed that might involve substituting away
from low-cost, imported bottles to more expensive but—subjectively—more trustworthy bot-
tles, there would be a shift in consumption, but not necessarily a drop in quantity or value of
olive oil purchased. We have two pieces of evidence that this may be a relevant consideration
from our sample. First, there was not a significant difference in the average amount knowl-
edgeable and unknowledgeable consumers spent per bottle on EVOO, suggesting that knowl-
edgeable consumers may have adopted strategies to avoid mislabeled EVOO in the field.
Secondly, participants believed that more domestically produced products are tested by the
federal government than imported products, which would likely reduce their subjective expec-
tation of the amount of mislabeling in domestic products. Additionally, [9] find that while
food fraud information about olive oils from one country spills over onto consumer WTP for
olive oils from other countries, domestically produced olive oil experiences the lowest drop in
value. However, an experiment that provides room for consumers to respond strategically to
negative information may yield additional important insights into the effects of food fraud.
This article is an initial step in determining important factors affecting consumers’ response
to food fraud scandals. Our findings indicate that prior exposure to information about food
fraud is an important factor in explaining consumer behavior in the presence of food fraud.
Future research in this direction can further refine estimates of the effect of exposure to food
Does prior knowledge of food fraud affect consumer behavior?
PLOS ONE | https://doi.org/10.1371/journal.pone.0225113 December 3, 2019 11 / 14
fraud information and identify conditions that influence the effect of information on con-
sumer behavior.
This study shows that prior knowledge of food fraud is related to baseline valuation of a
product category—though not a specific brand—that has been implicated in food fraud scan-
dals and to updating in response to new information. We have also identified several future
directions of research on consumer behavior in the presence of food fraud that should be pur-
sued. Although results show that consumers with prior knowledge of food fraud are less reac-
tive to olive oil fraud information—because it appears that they may have already accounted
for the possibility of food fraud occurring, we need further research to explore why they
respond differently. Furthermore, we need further studies to understand how consumers’
response to food fraud will change over time and with repeated exposure to information about
food fraud incidents.
Appendix
Article on Italian olive oil fraud
Italian olive oil industry and labeling scandals. Italy, along with Greece, Spain, and the
U.S., is one of the leading global producers of olives and olive oil. Italy accounts for 16% of the
total olive production in the world. The annual per capita olive oil consumption in Italy is
approximately 12.35 KG. (FAOSTAT, 2013). The top Italian olive oil production regions are
Puglia, Tuscany, Umbria, and Liguria.
While Italy is famous for olive oil, there have been allegations that Italian olive oil producers
do not adhere to olive oil labeling standards, labeling olive oils as extra virgin that do not meet
the standards that define extra virgin olive oils. Over 10% of Italian brands commonly sold in
the U.S. market failed repeatedly to meet extra virgin olive oil standards ("Evaluation of Extra
Virgin Olive Oil Sold in California", UC Davis, 2011). In 2015, Italian anti-fraud authorities
investigated top Italian olive oil companies for mislabeling. They found that 9 out of the 20
largest brands mislabel low-quality olive oil as extra-virgin olive oil ("Italian olive oil scandal:
top brands ‘sold fake extra-virgin´´´, The Telegraph, November 11, 2015). Moreover, some
producers use chemicals to cover up bad quality oils. It is not the first time that the Italian
olive oil industry has come under scrutiny for fraud. In 2012, Italian anti-fraud authorities also
found that the largest Italian olive oil producer had mislabeled domestic high-quality extra vir-
gin olive oil with less expensive imported olive oil (The Guardian, November 11, 2015).
Italy is one of the top exporters of olive oil in the world. However, since the intensity and
frequency of olive oil fraud has been on the rise, Italy faces a damaged reputation and eco-
nomic losses. For this reason, Italy has established a special unit devoted to food fraud.
Supporting information
S1 File.
(XLSX)
Author Contributions
Conceptualization: Syed Imran Ali Meerza, Christopher R. Gustafson.
Data curation: Syed Imran Ali Meerza.
Formal analysis: Syed Imran Ali Meerza.
Funding acquisition: Christopher R. Gustafson.
Does prior knowledge of food fraud affect consumer behavior?
PLOS ONE | https://doi.org/10.1371/journal.pone.0225113 December 3, 2019 12 / 14
Methodology: Syed Imran Ali Meerza.
Project administration: Syed Imran Ali Meerza.
Resources: Christopher R. Gustafson.
Software: Syed Imran Ali Meerza.
Supervision: Christopher R. Gustafson.
Validation: Syed Imran Ali Meerza, Christopher R. Gustafson.
Writing – original draft: Syed Imran Ali Meerza, Christopher R. Gustafson.
Writing – review & editing: Syed Imran Ali Meerza, Christopher R. Gustafson.
References
1. Morehouse J, Freienstein C, Cardoso L, Matlock S, Katz D, Henry C, et al. Consumer Product Fraud:
Deterrence and Detection. Tech. rep. Grocery Manufacturers Association & A.T. Kearney; 2010.
2. Lotta F, Bogue J. Defining Food Fraud in the Modern Supply Chain. European Food and Feed Law
Review. 2015; 10(2): 114–122.
3. Elliott C. Review into the Integrity and Assurance of Food Supply Networks. 2014 Jul.
4. Premanandh J. Horse meat scandal–A wake-up call for regulatory authorities. Food Control. 2013;
34(2): 568–569.
5. Meerza SIA, Giannakas K, Yiannaka A. Markets and welfare effects of food fraud. Australian Journal of
Agricultural and Resource Economics. 2019; 63(4): 759–789. https://doi.org/10.1111/1467-8489.
12348
6. Moore JC, Spink J, Lipp M. Development and Application of a Database of Food Ingredient Fraud and
Economically Motivated Adulteration from 1980 to 2010. Journal of Food Science. 2012; 77(4): 118–
126.
7. Johnson R. Food fraud and economically motivated adulteration of food and food ingredients. Tech.
rep. Congressional Research Service; 2014. https://digital.library.unt.edu/ark:/67531/metadc276904/
8. Agnoli L, Capitello R, Salvo MD, Longo A, Boeri M. Food fraud and consumers’ choices in the wake of
the horsemeat scandal. British Food Journal. 2016; 118(8): 1898–1913. https://doi.org/10.1108/BFJ-
04-2016-0176
9. Meerza SIA, Gustafson CR. Consumer Response to Food Fraud. In Agricultural & Applied Economics
Association; 2018; Washington D.C., United States. https://ageconsearch.umn.edu/record/274044
10. Rieger J, Kuhlgatz C, Anders S. Food scandals, media attention and habit persistence among desensi-
tised meat consumers. Food Policy. 2016; 64: 82–92. https://doi.org/10.1016/j.foodpol.2016.09.005
11. Kendall H, Kuznesof S, Dean M, Chan MY, Clark B, Home R, et al. Chinese consumers attitudes, per-
ceptions and behavioural responses towards food fraud. Food Control. 2019; 95: 339–351. https://doi.
org/10.1016/j.foodcont.2018.08.006
12. Frankel N. Evaluation of extra-virgin olive oil sold in California. Tech. rep. UC Davis Olive Center Report;
2011. https://olivecenter.ucdavis.edu/media/files/report041211finalreduced.pdf
13. Kirchgaessner S. Extra virgin on the ridiculous: Italian olive oil producers accused of fraud. 2015 Nov.
https://www.theguardian.com/world/2015/nov/11/extra-virgin-italian-olive-oil-producers-accused-of-
fraud
14. Becker GM, Degroot MH, Marschak J. Measuring utility by a single-response sequential method.
Behavioral Science. 1964; 9: 226–232. https://doi.org/10.1002/bs.3830090304 PMID: 5888778
15. Corrigan JR, Rousu MC. Posted Prices and Bid Affiliation: Evidence from Experimental Auctions. Amer-
ican Journal of Agricultural Economics. 2006; 88(4): 1078–1090. https://doi.org/10.1111/j.1467-8276.
2006.00917.x
16. Vickrey W. Counterspeculation, Auctions, and Competitive Sealed Tenders. The Journal of Finance.
1961; 16(1): 8–37.
17. Shogren JF, Margolis M, Koo C, List JA. A random nth-price auction. Journal of Economic Behavior &
Organization. 2001; 46(4): 409–421.
18. List JA, Shogren JF. Price Information and Bidding Behavior in Repeated Second-Price Auctions.
American Journal of Agricultural Economics. 1999; 81(4): 942. https://www.jstor.org/stable/1244336
Does prior knowledge of food fraud affect consumer behavior?
PLOS ONE | https://doi.org/10.1371/journal.pone.0225113 December 3, 2019 13 / 14
19. Squires N. Italian olive oil scandal: Seven top brands’ sold fake extra virgin. 2015 Nov. https://www.
telegraph.co.uk/news/worldnews/europe/italy/11988947/Italian-companies-investigated-for-passing-
off-ordinary-olive-oil-as-extra-virgin.html
20. Akerlof G. The Market for Lemons: Quality Uncertainity and the Market. In Uncertainty in Economics.:
Elsevier; 1978; 84(3): 488–500. https://doi.org/10.1016/B978-0-12-214850-7.50022-X
21. Bronnenberg BJ, Dub JP, Gentzkow M, Shapiro JM. Do Pharmacists Buy Bayer? Informed Shoppers
and the Brand Premium. The Quarterly Journal of Economics. 2015; 130(4): 1669–1726. https://doi.
org/10.1093/qje/qjv024
22. Agnew JR, Szykman LR. Asset Allocation and Information Overload: The Influence of Information Dis-
play, Asset Choice, and Investor Experience. Journal of Behavioral Finance. 2005; 6(2): 57–70. https://
doi.org/10.1207/s15427579jpfm0602_2
23. Feng L, Seasholes MS. Do Investor Sophistication and Trading Experience Eliminate Behavioral Biases
in Financial Markets? Review of Finance. 2005; 9(3): 305–351. https://doi.org/10.1007/s10679-005-
2262-0
24. Gustafson CR. The Role of Knowledge in Choice, Valuation, and Outcomes for Multi-Attribute Goods.
Journal of Agricultural & Food Industrial Organization. 2015; 13(1):33–43. https://doi.org/10.1515/jafio-
2015-0019
25. Gustafson CR, Lybbert TJ, Sumner DA. Consumer knowledge affects valuation of product attributes:
Experimental results for wine. Journal of Behavioral and Experimental Economics. 2016; 65: 85–94.
26. Dillaway R, Messer KD, Bernard JC, Kaiser HM. Do Consumer Responses to Media Food Safety Infor-
mation Last? Applied Economic Perspectives and Policy. 2011; 33(3): 363–383. https://doi.org/10.
1093/aepp/ppr019
27. Liaukonyte J, Streletskaya NA, Kaiser HM. The Long-Term Impact of Positive and Negative Information
on Food Demand. Canadian Journal of Agricultural Economics/Revue canadienne dagroeconomie.
2015; 63(4): 539–562. https://doi.org/10.1111/cjag.12074
28. Warner K, Timme B, Lowell B, Hirshfield M. Oceana study reveals seafood fraud nationwide. Tech. rep.
OCEANA; 2013. https://oceana.org/sites/default/files/National_Seafood_Fraud_Testing_Results_
Highlights_FINAL.pdf
29. Macrae CN, Visokomogilski A, Golubickis M, Sahraie A. Self-relevance enhances the benefits of atten-
tion on perception. Visual Cognition. 2018; 26(7): 475–481. https://doi.org/10.1080/13506285.2018.
1498421
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PLOS ONE | https://doi.org/10.1371/journal.pone.0225113 December 3, 2019 14 / 14