Patterns of fruit and vegetable buying behaviour in the United States and India

Anesbury, Zachary William; Greenacre, Luke; Wilson, Andrew; Huang, Ava

doi:10.1177/1470785317751997

Cited by 14 publications

(19 citation statements)

References 30 publications

(36 reference statements)

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“…These participants might still consume broccoli but less than once a week. This share is close to the broccoli purchasing behavior suggested by Anesbury et al (2018), which shows that 49% of U.S. consumers buy broccoli at least once in 2 weeks. We include broccoli nonbuyers because they might be the potential buyers of local NYS-grown broccoli even if they are consuming broccoli less than once a week.…”

supporting

confidence: 86%

Willingness to Pay, Quality Perception, and Local Foods: The Case of Broccoli

Fan¹,

Gómez²,

Coles³

2019

Agric. Resour. Econom. Rev.

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A large and growing body of literature has studied consumer willingness to pay (WTP) for local foods in the United States. However, these studies implicitly assume that consumers perceive local foods to have superior quality than nonlocal foods. Little is known about WTP for local foods when taking into account differences in consumer perception of food quality between local and nonlocal foods. In this article, we conduct an economic experiment to assess the effect of locally grown information on consumer WTP and quality perceptions of three broccoli varieties (one commercial variety grown in California and two newly developed local varieties). Our results show that consumers rate both the appearance and the taste of the two local broccoli varieties lower than the California variety when evaluating food quality blindly. However, consumers’ evaluations of the two local varieties improve substantially after being told the two varieties are locally grown. Results also indicate that consumers are willing to pay a price premium for the two local varieties after being told that they are locally grown. Our results provide evidence that locally grown information has a positive effect on both consumer WTP and quality perception of local foods.

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supporting

confidence: 86%

Willingness to Pay, Quality Perception, and Local Foods: The Case of Broccoli

Fan¹,

Gómez²,

Coles³

2019

Agric. Resour. Econom. Rev.

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“…The pattern occurs in FMCGs including instant coffee (Greenacre et al, 2015), toothpaste, carbonated soft drinks, yogurt, instant noodle, soy sauce (Uncles & Kwok, 2009), and many other categories such as washing detergent (Scriven et al, 2017). Earlier research analyzing fresh category loyalty was not at a brand level, and the behavioral data were not observational (i.e., claimed) (Anesbury, Greenacre, et al, 2018).…”

Section: Dj-a Behavioral Loyalty Patternmentioning

confidence: 99%

“…However, consumers purchase more than one brand within a category (Banelis et al, 2013). Therefore, the DoP method and its application (Anesbury, Greenacre, et al, 2018) examine multi-brand loyalty.…”

Section: Dj-a Behavioral Loyalty Patternmentioning

confidence: 99%

Analyzing proprietary, private label, and non-brands in fresh produce purchases

Anesbury

Jürkenbeck

Bogomolov

et al. 2020

International Journal of Market Research

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When purchasing packaged products within a supermarket, consumers choose between proprietary or private label brands. However, when purchasing fresh fruits and vegetables, non-branded produce is the dominant option—with proprietary and private label brands only recently becoming available. Previous fast-moving consumer goods (FMCG) research finds that proprietary and private label brands affect consumer loyalty—however, no research exists for fresh categories. This research is the first to determine the effect of emerging brands in fresh categories on consumer buying behavior. Our research examines consumers’ loyalty toward proprietary, private label, or non-branded fresh fruits and vegetables and the level of customer sharing between these options, using analytical approaches applicable to FMCG categories. The panel data contains nearly 46,000 households making over 8 million purchases in the United States during 2015. Results show that proprietary, private label, and now non-branded fresh produce have expected loyalty levels, for their size, and consumers share their purchases across the three options (i.e., consumers are not loyal to just one option). The study analyzes and interprets purchase data in fresh categories offering marketing academics and practitioners actionable advice for working with fresh produce purchase data.

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“…D is then used to calculate theoretical (expected) values – D multiplied by individual penetration values. The expected values are then compared to the observed values (average duplication figures) to determine the fit of the Duplication of Behaviour Law numerically [34].…”

Section: Methodsmentioning

confidence: 99%

“…The Duplication of Purchase Law [31] is an empirical description of how brands share customers, that is, how they compete for customers. The Law has been extensively tested across a range of purchasing contexts (consumer packaged goods [32, 33], fruit and vegetables [34] and sports brands [35]), and non-purchase-related choice behaviours (TV viewing behaviour [36], listening to the radio [37], cultural event attendance [38], gaming [39], gambling [40], leisure time activities [41], sport attendance and team preferences [42], and physical activity [43]). The application of the Law across such a wide variety of conditions demonstrates its robustness, and superior ability to explain and predict competition for different types of consumer behaviours.…”

Section: Introductionmentioning

confidence: 99%

Analysing how physical activity competes: a cross-disciplinary application of the Duplication of Behaviour Law

Wilson

Nguyen

Bogomolova

et al. 2019

Int J Behav Nutr Phys Act

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BackgroundDespite the ongoing promotion of physical activity, the rates of physical inactivity remain high. Drawing on established methods of analysing consumer behaviour, this study seeks to understand how physical activity competes for finite time in a day – how Exercise and Sport compete with other everyday behaviours, and how engagement in physical activity is shared across Exercise and Sport activities. As targeted efforts are common in physical activity intervention and promotion, the existence of segmentation is also explored.MethodsTime-use recall data (n = 2307 adults) is analysed using the Duplication of Behaviour Law, and tested against expected values, to document what proportion of the population that engage in one activity, also engage in another competing activity. Additionally, a Mean Absolute Deviation approach is used to test for segmentation.ResultsThe Duplication of Behaviour Law is evident for everyday activities, and Exercise and Sport activities – all activities ‘compete’ with each other, and the prevalence of the competing activity determines the extent of competition. However, some activities compete more or less than expected, suggesting the combinations of activities that should be used or avoided in promotion efforts. Competition between everyday activities is predictable, and there are no specific activities that are sacrificed to engage in Exercise and Sport. How people share their physical activity across different Exercise and Sport activities is less predictable – Males and younger people (under 20 years) are more likely to engage in Exercise and Sport, and those who engage in Exercise and Sport are slightly more likely to Work and Study. High competition between Team Sports and Non-Team Sports suggests strong preferences for sports of different varieties. Finally, gender and age-based segmentation does not exist for Exercise and Sport relative to other everyday activities; however, segmentation does exist for Team Sports, Games, Active Play and Dance.ConclusionsThe Duplication of Behaviour Law demonstrates that population-level patterns of behaviour can yield insight into the competition between different activities, and how engagement in physical activity is shared across different Exercise and Sport activities. Such insights can be used to describe and predict physical activity behaviour and may be used to inform and evaluate promotion and intervention.

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Patterns of fruit and vegetable buying behaviour in the United States and India

Cited by 14 publications

References 30 publications

Willingness to Pay, Quality Perception, and Local Foods: The Case of Broccoli

Willingness to Pay, Quality Perception, and Local Foods: The Case of Broccoli

Analyzing proprietary, private label, and non-brands in fresh produce purchases

Analysing how physical activity competes: a cross-disciplinary application of the Duplication of Behaviour Law

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