Which livestock production claims matter most to consumers?

Ellison, Brenna; Brooks, Kathleen R.; Mieno, Taro

doi:10.1007/s10460-017-9777-9

Cited by 35 publications

(33 citation statements)

References 36 publications

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“…To cross-sectionally examine how demographic and behavioral factors (modeled as predictors) were related to valuing gluten-free food, prevalence proportion ratios and confidence intervals were calculated from logistic regression models using the counterfactual method. 40, 41 Since prior research has shown that sociodemographics may impact food values 42, 43 , each model adjusted for sex, age, ethnicity/race, education, income, and reporting a health condition that impacted diet. Models involving weight goals and weight control behaviors additionally included weight status as a covariate.…”

Section: Methodsmentioning

confidence: 99%

Who Values Gluten-Free? Dietary Intake, Behaviors, and Sociodemographic Characteristics of Young Adults Who Value Gluten-Free Food

Christoph¹,

Larson²,

Hootman³

et al. 2018

Journal of the Academy of Nutrition and Dietetics

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Section: Methodsmentioning

confidence: 99%

Who Values Gluten-Free? Dietary Intake, Behaviors, and Sociodemographic Characteristics of Young Adults Who Value Gluten-Free Food

Christoph¹,

Larson²,

Hootman³

et al. 2018

Journal of the Academy of Nutrition and Dietetics

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“…Based on the major food safety risks in China’s pork supply chain and the reality of the pork traceability system in China, this paper aims to study Chinese consumers’ preferences and willingness to pay (WTP) relating to animal welfare, lean meat essence test, traceability, and appearance attributes of pork products. There have been a lot of studies on consumers’ preference relating to traceability information [18,19,22,23,24,25,26,27,28,29,30], animal welfare [21,31,32,33,34,35,36,37], hormones or antibiotics [5,38,39,40,41,42], appearance [22,43,44,45,46,47,48], and other attributes of meat products in the United States, Britain, Germany, Spain, Australia, and other countries. In China, the largest developing country, due to the imbalanced economic and social development, the relative vastness of the region, the diversity of the food culture, and the complexity of the food safety issues, consumers’ preferences relating to the properties of meat products are specific to China.…”

Section: Introductionmentioning

confidence: 99%

Consumers’ Willingness to Pay for Food with Information on Animal Welfare, Lean Meat Essence Detection, and Traceability

Yang

et al. 2019

IJERPH

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Amid high-profile food scares, health concerns and threats of information imperfection and asymmetry, the Chinese pork industry faces increasing demands from consumers for assurances regarding quality and production methods in both the domestic and export markets. Using a real choice experiment (RCE), 316 consumers in Wuxi, located in China’s Jiangsu Province, were randomly surveyed to examine the impact of various factors (e.g., traceability, lean meat essence testing, animal welfare, appearance, and price) on consumers’ preference and willingness to pay (WTP) for pork products. A random parameter logit model was estimated, and the results show that having a traceable code is the second important factor after price for consumers, corresponding to a WTP of 4.76 yuan per catty, followed by a bright red appearance, a national stocking density standard of animal welfare, and detected no lean meat essence, corresponding to a WTP of more than 2 yuan per catty. In addition, there is a complementary interrelationship between a traceable code and a bright red appearance, detected no lean meat essence, and a national stocking density standard of animal welfare. The results concerning the latent class model (LCM) indicate that 56.9% of consumers are “quality-focused” consumers who are willing to pay a high price for traceable code, detected no lean meat essence, a national stocking density standard of animal welfare, and bright red appearance attributes. A further 28.1% are “price-sensitive” consumers who pay significant attention to the price, and the price that they pay for each product is meagre. The consumers with “preference combination attributes” attach greater value to interaction attributes, such as a traceable code combined with detected no lean meat essence or a bright red appearance and detected no lean meat essence combined with a national stocking density standard of animal welfare or a bright red appearance, accounting for 15% of consumers. The government should improve the traceability system, increase the intensity of lean meat essence testing, promote the welfare level of pigs, and promote public education and publicity on pork quality and safety attributes. Meanwhile, enterprises can formulate “differentiated” pork products, according to different consumer groups, and appropriately increase prices, according to production costs, in order to meet the requirements for pork quality and safety for consumers.

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“…Rural household sources of food, income and expenditure are complex and subjected to fluctuation over time and the modeling of these sources requires knowledge both in experimental design and economic theory. Also, many agricultural economists have recently used the best-worst scaling method to determine the most important strategies developed by rural farmers to increase their resilience against the negative externalities of climate change (Tabbo et al, 2016), which livestock production methods matter most to consumers (Ellison et al, 2017), consumers general and specific food values (Lister et al, 2017;Lusk and Briggeman, 2009), preferences for sustainable agricultural production (Sackett et al, 2013) and eliciting the most important domains of health for health-related quality of life in Singapore (Judy et al, 2018) and introduction to the application of best worst scaling in marketing research (Louviere et al, 2013) and evaluation of improved cowpea variety attributes (Moctar et al, 2018). The BWS provides better information with fewer respondents, works better than traditional likert scale and permits to achieve better discrimination among items (Louvriere et al, 2013).…”

Section: Background On Best Worst Scaling (Bws) Methodsmentioning

confidence: 99%

Food and income diversification decisions as climate change adaptation strategies: Evidence from Kalfou and Tabalak local governments, Tahoua State, Niger Republic

Amadou¹

2019

J. Dev. Agric. Econ.

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The purpose of this study is to evaluate rural household's food and income diversification decisions in face of climate change adaptation strategies using advances in choice-based experiment. Several studies have focused on general and specific food values using the balanced incomplete block design; but fewer studies have been devoted to study rural household food and income diversification decisions via the lens of balanced incomplete Latin square design (BILSD). The BILSD was used to design questionnaire served in data collection. For each question, respondents were asked to choose his best and worst coping strategies. Mixed logit model was used to data. Results reveal that agricultural production, livestock products and remaining stock from previous harvest were the most important sources of food; while the sale of agricultural product followed by the sale of garden product, picking and the sale wild fruits and leafy vegetables, small business, crafting, project transfer, the sale of firewood and straw and the sale of livestock product were the most important sources of income. Results suggest that agricultural production, livestock production and stock from previous harvest and as well as the sale of agricultural product, the sale of garden product, picking and the sale wild fruits and leafy vegetables, small business, crafting, project transfer, the sale of firewood and straw and the sale livestock product are the optimal combination food and income diversification decisions to enhance rural household resilience building capacity. Results finally suggest that collective decision made about food and income diversification decisions is more welfare enhancing that individual decision.

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Which livestock production claims matter most to consumers?

Cited by 35 publications

References 36 publications

Who Values Gluten-Free? Dietary Intake, Behaviors, and Sociodemographic Characteristics of Young Adults Who Value Gluten-Free Food

Who Values Gluten-Free? Dietary Intake, Behaviors, and Sociodemographic Characteristics of Young Adults Who Value Gluten-Free Food

Consumers’ Willingness to Pay for Food with Information on Animal Welfare, Lean Meat Essence Detection, and Traceability

Food and income diversification decisions as climate change adaptation strategies: Evidence from Kalfou and Tabalak local governments, Tahoua State, Niger Republic

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