Dataset Information

The price is right!? A meta-regression analysis on willingness to pay for local food.

ABSTRACT: We study the literature on willingness to pay (WTP) for local food by applying meta-regression analysis to a set of 35 eligible research papers that provide 86 estimates on consumers' WTP for the attribute "local." An analysis of the distribution of WTP measures suggests the presence of publication selection bias that favors larger and statistically significant results. The analyzed literature provides evidence for statistically significant differences among consumers' WTP for various types of product. Moreover, we find that the methodological approach (choice experiments vs. other approaches) and the analyzed country can have a significant influence on the generated WTP for local.

SUBMITTER: Printezis I

PROVIDER: S-EPMC6541256 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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The price is right!? A meta-regression analysis on willingness to pay for local food.

Printezis Iryna I Grebitus Carola C Hirsch Stefan S

PloS one 20190529 5

We study the literature on willingness to pay (WTP) for local food by applying meta-regression analysis to a set of 35 eligible research papers that provide 86 estimates on consumers' WTP for the attribute "local." An analysis of the distribution of WTP measures suggests the presence of publication selection bias that favors larger and statistically significant results. The analyzed literature provides evidence for statistically significant differences among consumers' WTP for various types of p ...[more]

PMID: 31141519

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Project description:Consumer's attitudes to, and acceptance of, emerging technologies and their applications, are important determinants of their successful implementation and commercialisation. Understanding the range of socio-psychological, cultural and affective factors which may influence consumer responses to applications of nanotechnology will help "fine-tune" the development of consumer products in line with their expectations and preferences. This is particularly true of applications in the food area, where consumer concerns about technologies applied to food production may be elevated. This research applied systematic review methodology to synthesise current knowledge regarding societal acceptance or rejection of nanotechnology applied to agri-food production. The objective was to aggregate knowledge derived from different research areas to gain an overall picture of consumer responses to nanotechnology applied to food production. Relevant electronic databases of peer-reviewed literature were searched from the earliest date available, for peer-reviewed papers which reported primary empirical data on consumer and expert acceptance of agri-food nanotechnology, using a formal systematic review protocol. Inclusion criteria for papers to be included in the review were: empirical peer-reviewed papers written in English; a population sample of adults aged 18 years and over used in the research; a research focus on consumer and expert acceptance of agri-food nanotechnology; and research on attitudes towards, and willingness to pay for, different applications of agri-food nanotechnology. Two researchers independently appraised the papers using NVivo 10 QSR software. Studies examining consumer and expert acceptance were thematically analysed, and key information was collated. The results were synthesised in order to identify trends in information relevant to consumer acceptance of nanotechnology applied to food production. Eight key themes were identified from the 32 papers which were extracted from the literature. These themes were applied to understand the determinants of consumer acceptance of agri-food nanotechnology. Nanotechnology is more likely to be accepted by consumers when applied to development of novel packaging with distinct benefits rather than when integrated directly into agri-food products. Trust and confidence in agri-food nanotechnology and its governance need to be fostered through transparent regulation and development of societally beneficial impacts to increase consumer acceptance.

Dataset Information

The price is right!? A meta-regression analysis on willingness to pay for local food.

Publications

The price is right!? A meta-regression analysis on willingness to pay for local food.

Similar Datasets

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