A meta‐regression analysis on the willingness‐to‐pay for country‐of‐origin labelling

Abstract

Food quality and food safety issues arouse increasing interest and concern among consumers and policy‐makers. Consequently, the importance of country‐of‐origin labelling (COOL) is increasing in business, policy and research. Numerous studies have reported a wide range of estimates for consumers' willingness‐to‐pay (WTP) for COOL using stated preference methods and, in particular, discrete choice experiments. We apply meta‐regression analyses to synthesise the heterogeneous results of 204 WTP for COOL estimates extracted from 59 studies which used discrete choice experiments and were published between 2009 and 2020. Meta‐regression analysis allows an adjusted summary proxy to be derived for the WTP for COOL and the determinants of heterogeneity in reported WTP estimates are also investigated. Our results suggest that there is a significant positive WTP for COOL, and also reveal that the reported WTP estimates are unaffected by publication bias. In addition, they show systematic variation in WTP estimates across the context and methodological characteristics of the studies. More precisely, we find that the region and the product (animal‐ vs. plant‐based) analysed, as well as certain characteristics of the choice design (e.g., the number of attributes used, or the inclusion of an opt‐out option) can have a significant impact on the estimated WTP for COOL. Finally, our results reveal significant differences in price premiums between various types of COOL (e.g., domestic vs. foreign). This highlights that results from individual primary studies should not be generalised without further consideration of the underlying study design.

A mixed-methods approach to examine farmers’ willingness to adopt protein crops

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Turkish Consumers’ Purchase Motivation towards Erzurum Stuffed-Kadayif with Protected Geographical Indication (PGI) at the Dessert Retailers

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Turkish Consumers’ Purchase Decisions towards Erzurum Stuffed-kadayif with Protected Geographical Indication at Dessert Retailers

“…Consumers trying to meet their food needs under the effects of climate change have rationally tried to shape their food choices and purchase decisions at retail levels by taking into account not only the extrinsic and intrinsic food attributes but also the negative progressions in Turkish economy in the last years. It was reported in the previous researches that it was firstly attempted to determine consumers' purchase patterns by having been taken into account the extrinsic food attributes, a part of the marketing mix focused on consumers' visual sense (price, brand, labelling, package weight and size, geographical indications, purchase convenience, reaching to retailers, conformity and comfort at retail stores, health claims) (Carvalho and Spence, 2023;Edenbrandt and Nordström, 2023;Fakhreddine and Sanchez, 2023;Petrontino et al, 2023;Yeh and Hirsch, 2023;Zanchini et al, 2023;Zeng et al, 2023), and then the intrinsic food attributes based on a variation of the nutritional composition at farming and manufacturing process (taste, aroma, flavor, color, texture, appearance, sound, content or ingredient, juiciness, sweetness) (Bejaei and Xu, 2023;Fakreddine and Sanchez, 2023;Giannoutsos et al, 2023;Kleih et al 2023;Lavui et al, 2023) impacting on their purchase models at retail levels.…”