2015
DOI: 10.1080/00036846.2015.1111988
|View full text |Cite
|
Sign up to set email alerts
|

Buying your way into a healthier lifestyle: a latent class analysis of healthy food purchases

Abstract: A non-hypothetical second-price Vickrey auction was conducted to elicit consumer preferences and willingness to pay for vegetable attributes, including production technique, origin, taste, and health benefits. Using a Latent Class Analysis (LCA) we segmented participants based on healthdriven motivations, willingness to pay estimates, and socioeconomic characteristics. Two latent classes were found and characterized as: "Health Conscious", and "Health Redeemers". In particular, the "Health Conscious" consumers… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

1
5
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 13 publications
(6 citation statements)
references
References 51 publications
1
5
0
Order By: Relevance
“…In other words, within each segment, consumer preferences are homogeneous, but they vary between segments, reflecting a ‘lumpy’ spread preference and allowing a more in-depth understanding of heterogeneity [40]. This approach has also been used to analyse consumer preferences for agricultural products, enabling the identification of distinct patterns of valuation and behaviour, [13,35,48,49,50,51], among others. In the LC model, the utility of the individual n choosing alternative j in the t th choice alternative is calculated as follows:Unjt|S = βSXnjt+ εnjt|S where βS is a parameter vector of class S associated with the vector of explanatory variables, and Xnjt and εnjt|S are error terms that follow a Type-I (or Gumbel) distribution.…”
Section: Methodsmentioning
confidence: 99%
“…In other words, within each segment, consumer preferences are homogeneous, but they vary between segments, reflecting a ‘lumpy’ spread preference and allowing a more in-depth understanding of heterogeneity [40]. This approach has also been used to analyse consumer preferences for agricultural products, enabling the identification of distinct patterns of valuation and behaviour, [13,35,48,49,50,51], among others. In the LC model, the utility of the individual n choosing alternative j in the t th choice alternative is calculated as follows:Unjt|S = βSXnjt+ εnjt|S where βS is a parameter vector of class S associated with the vector of explanatory variables, and Xnjt and εnjt|S are error terms that follow a Type-I (or Gumbel) distribution.…”
Section: Methodsmentioning
confidence: 99%
“…Furthermore, Wang et al (2017) [26] used a latent class logit model to investigate U.S. consumer preferences for attributes of fresh market strawberries. Regarding the health benefits of foods, Segovia and Palma (2015) [27] used an LCA to segment participants by their willingness to pay for vegetable attributes, including production technique, origin, taste, and health benefits.…”
Section: Statistical Methods: Hierarchical Bayes Model Latent Class mentioning
confidence: 99%
“…The selection of variables included in x 2 i was based upon data availability and previous studies analyzing consumer food purchase behavior (e.g. Piroth et al , 2020; Segovia and Palma, 2016). Age, gender, education, household size, living with elder/s in the same house, rural residency and the location where the respondent lives constitute the demographic variables included in x 2 i .…”
Section: Methodsmentioning
confidence: 99%
“…risk aversion) characteristics to inform consumer segmentation (e.g. Piroth et al, 2020;Segovia and Palma, 2016). In doing so, researchers allow practitioners to find segments of consumers with similar demographic and psychographic characteristics and thus to pursue product or process differentiation, a common firm strategy in the segmented food consumer marketplace (Cucagna and Goldsmith, 2018;Gehlhar et al, 2009).…”
Section: Consumer Preferences For Grocery Purchasing 3595mentioning
confidence: 99%
See 1 more Smart Citation