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Revealed consumers’ preferences for fresh produce attributes in Chinese online markets: A case of domestic and imported apples

BACKGROUND: The online market is getting popular today, and consumers’ preferences about products are revealed differently in online and offline markets. Especially, fresh food purchasing online is very different from non-food products due to its unique features such as perishability, low cost and f...

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Autores principales: Wang, H. Holly, Han, Xiao, Jiang, Yu, Wu, Guoyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9232124/
https://www.ncbi.nlm.nih.gov/pubmed/35749528
http://dx.doi.org/10.1371/journal.pone.0270257
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author Wang, H. Holly
Han, Xiao
Jiang, Yu
Wu, Guoyong
author_facet Wang, H. Holly
Han, Xiao
Jiang, Yu
Wu, Guoyong
author_sort Wang, H. Holly
collection PubMed
description BACKGROUND: The online market is getting popular today, and consumers’ preferences about products are revealed differently in online and offline markets. Especially, fresh food purchasing online is very different from non-food products due to its unique features such as perishability, low cost and frequent purchases, low value-volume ratio, and highly relevance to safety and health. However, studies on online fresh food are rather few, and this study will fill the gap by investigating consumers’ preferences for fresh food online purchasing. METHODS: Using unique data observed from online stores, we conduct a hedonic analysis of fresh produce online market using apple market in China, avoiding hypothetical bias. Propensity Score Matching is used to check the online promotion effects. The data are apples transactions from Jingdong JD e-commerce platform with sample size 8,200, observed across six weeks from 11/26/2018 to 12/31/2018. Variables used include prices, promotions, varieties, places of origin, fruit size, labeled as organic or green food, watercore label, and customer reviews for the products as well as for the venders. RESULTS: We found place of origin, food safety and eco-certificates, and sensory features all influence apple prices which reflect consumer preferences. In addition to product features, store features such as former customers’ review for the store, a video post of the product, and other latent product features through former customers’ review for the product quality also influence consumers’ preference reflected by price. CONCLUSIONS: In additional to product intrinsic features, consumer show preferences and valuation for online market special features.
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spelling pubmed-92321242022-06-25 Revealed consumers’ preferences for fresh produce attributes in Chinese online markets: A case of domestic and imported apples Wang, H. Holly Han, Xiao Jiang, Yu Wu, Guoyong PLoS One Research Article BACKGROUND: The online market is getting popular today, and consumers’ preferences about products are revealed differently in online and offline markets. Especially, fresh food purchasing online is very different from non-food products due to its unique features such as perishability, low cost and frequent purchases, low value-volume ratio, and highly relevance to safety and health. However, studies on online fresh food are rather few, and this study will fill the gap by investigating consumers’ preferences for fresh food online purchasing. METHODS: Using unique data observed from online stores, we conduct a hedonic analysis of fresh produce online market using apple market in China, avoiding hypothetical bias. Propensity Score Matching is used to check the online promotion effects. The data are apples transactions from Jingdong JD e-commerce platform with sample size 8,200, observed across six weeks from 11/26/2018 to 12/31/2018. Variables used include prices, promotions, varieties, places of origin, fruit size, labeled as organic or green food, watercore label, and customer reviews for the products as well as for the venders. RESULTS: We found place of origin, food safety and eco-certificates, and sensory features all influence apple prices which reflect consumer preferences. In addition to product features, store features such as former customers’ review for the store, a video post of the product, and other latent product features through former customers’ review for the product quality also influence consumers’ preference reflected by price. CONCLUSIONS: In additional to product intrinsic features, consumer show preferences and valuation for online market special features. Public Library of Science 2022-06-24 /pmc/articles/PMC9232124/ /pubmed/35749528 http://dx.doi.org/10.1371/journal.pone.0270257 Text en © 2022 Wang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wang, H. Holly
Han, Xiao
Jiang, Yu
Wu, Guoyong
Revealed consumers’ preferences for fresh produce attributes in Chinese online markets: A case of domestic and imported apples
title Revealed consumers’ preferences for fresh produce attributes in Chinese online markets: A case of domestic and imported apples
title_full Revealed consumers’ preferences for fresh produce attributes in Chinese online markets: A case of domestic and imported apples
title_fullStr Revealed consumers’ preferences for fresh produce attributes in Chinese online markets: A case of domestic and imported apples
title_full_unstemmed Revealed consumers’ preferences for fresh produce attributes in Chinese online markets: A case of domestic and imported apples
title_short Revealed consumers’ preferences for fresh produce attributes in Chinese online markets: A case of domestic and imported apples
title_sort revealed consumers’ preferences for fresh produce attributes in chinese online markets: a case of domestic and imported apples
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9232124/
https://www.ncbi.nlm.nih.gov/pubmed/35749528
http://dx.doi.org/10.1371/journal.pone.0270257
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