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1 – 10 of 20Xinyi Hong, Chenguang Li, Junfei Bai, Zhifeng Gao and Liming Wang
Following the standard practice of using nutrition claims to denote food functionality, this study empirically explores Chinese consumers’ willingness-to-pay for functional…
Abstract
Purpose
Following the standard practice of using nutrition claims to denote food functionality, this study empirically explores Chinese consumers’ willingness-to-pay for functional processed meat products by using three nutrition claims (namely “increased calcium,” “containing omega-3”, and “reduced salt”) made on pork sausages. It also aims to outline the typical characteristics of Chinese consumer segments based on preferences.
Design/methodology/approach
A choice-based choice experiment is utilized to investigate Chinese consumers’ valuation on attributes of interest regarding functional sausage products. First-hand data was collected in the two cities of Xi'an and Beijing.
Findings
There are market potentials for domestic and/or imported functional processed meat products among Chinese consumers. Nutrition claims made on pork sausages are appealing to Chinese consumers, and therefore, monetarily rewarded by them. Being imported from a more developed country of origin could both positively and negatively impact consumers’ WTP for nutrition claims made on pork sausages. Furthermore, specific functional modification strategies should be taken into account when addressing different segments of the Chinese market. In addition, regional impacts between Xi'an and Beijing are implied in terms of consumers’ valuation for functional pork sausages.
Research limitations/implications
Limitations in the current study are mainly two folds. First, the WTP estimation magnitudes are subject to a hypothetical bias by using a stated preference approach. Second, this study only focuses on pork sausages to explore consumers’ perceptions and selects three nutrition claims among many other relevant options.
Practical implications
Implications are provided for meat marketers and for Chinese official food policymakers, such that promoting meat products with a nutrition claim is an attractive marketing strategy for foreign food manufacturers in China, and more reformulated meat products with better nutritional compositions should be allowed in the Chinese market.
Originality/value
To the best of the author’s knowledge, this research is the first to fill in the literature blank on investigating the consumers’ valuation for functional meat in the emerging market of China. Because when taking Chinese consumers as a target market and evaluating their perceptions of food quality-related labeling and certifications, the existing literature is mainly limited to topics of product safety, organic/green products, and geographical origins. However, nutrition claims, as marketable credence attributes that associate closely to the main characteristics of the functional food products, have been explored to a much lesser extent among Chinese consumers.
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Mariantonietta Fiore, Roberto Leonardo Rana, Alessia Spada and Nina Drejerska
Nisachon Bubpa and Khanitta Nuntaboot
Due to the increasing population and diverse lifestyles of aging people in Thailand, close examination of their needs and health care problems is required. Availability and…
Abstract
Purpose
Due to the increasing population and diverse lifestyles of aging people in Thailand, close examination of their needs and health care problems is required. Availability and accessibility of food affects the health and well-being of aging people in the community; therefore, to enhance their quality of life, community nurses and health care personnel must understand the variety of foods in their diet, in order to provide suitable and culturally acceptable nutrition for the elderly. The purpose of this paper is to explore the diversity of foods eaten by older people and the social, economic, environmental, and cultural contexts in which they live in the Northern region of Thailand. This is a part of a larger research project of community food management systems for the care of older people.
Design/methodology/approach
Critical ethnographic research was employed during the study. The data were collected from 41 primary elderly informants and family members. The researcher collected data by conducting individual in-depth interviews, observation of activities, and focus group discussions. The text data were analyzed by content analysis.
Findings
Information gathered from this research reveal nine categories of food which older people are associated with and which include: favorite foods; food provided by others; foodstuffs which should be eaten due to chronic diseases (recommended by doctor); foods to be avoided; snacks; food eaten with others (eating when socializing); food for festivals and cultural traditions; food offered for making merit; and food donated to others.
Originality/value
Utilization of health data, specifically regarding individual dietary diversity, can guide community nurses and health care personnel to provide and promote health that will suit individuals and their families. Community nurses and health care personnel should be aware of the variety of older persons’ diets and the importance of being able to manage and sustain their own nutritional needs. Appropriate nutrition, which is one of the social determinants of health, could improve the quality of the well-being of aging members in the community.
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Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Satchidananda Dehuri and Sung-Bae Cho
This work presents a novel approach by considering teaching learning based optimization (TLBO) and radial basis function neural networks (RBFNs) for building a classifier for the…
Abstract
This work presents a novel approach by considering teaching learning based optimization (TLBO) and radial basis function neural networks (RBFNs) for building a classifier for the databases with missing values and irrelevant features. The least square estimator and relief algorithm have been used for imputing the database and evaluating the relevance of features, respectively. The preprocessed dataset is used for developing a classifier based on TLBO trained RBFNs for generating a concise and meaningful description for each class that can be used to classify subsequent instances with no known class label. The method is evaluated extensively through a few bench-mark datasets obtained from UCI repository. The experimental results confirm that our approach can be a promising tool towards constructing a classifier from the databases with missing values and irrelevant attributes.
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