scholarly journals How Much Lower are Prices at Discount Stores? An Examination of Retail Food Prices

Author(s):  
Ephraim Leibtag ◽  
Catherine Barker ◽  
Paula Dutko
Nutrients ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3349
Author(s):  
Hannah Yang Han ◽  
Catherine Paquet ◽  
Laurette Dubé ◽  
Daiva E Nielsen

The role of the retail food environment in obesity risk is unclear, which may be due in part to the lack of consideration of individual differences in the responsivity to food cues. This cross-sectional investigation geo-temporally linked the CARTaGENE biobank (including genetic, dietary, lifestyle, and anthropometric data) with in-store retail food environment data to examine interactions between a polygenic risk score (PRS) for obesity and (1) diet quality (n = 6807) and (2) in-store retail food measures (n = 3718). The outcomes included adiposity-related measures and diet quality assessed using the 2010 Canadian-adapted Healthy Eating Index. A vegetable:soft drink ratio was constructed for each retail measure to assess the relative healthfulness of exposures. Generalized linear models adjusted for individual and neighborhood socio-demographic factors were used to evaluate main and interactive effects. Diet quality significantly modified the association between polygenic risk of obesity and body mass index, waist circumference, and body fat percent. A significant interaction was also observed between PRS and regular price of vegetables in relation to soft drinks on waist circumference. These results replicate previous reports of diet moderating polygenic risk of obesity and suggest that prices of low vs. high-energy density foods are an intervention target to address population obesity rates.


Author(s):  
Artiom Volkov ◽  
Mangirdas Morkūnas ◽  
Viktorija Skvarciany

Purpose – the purpose of the article is to develop a model that could be used for estimating the level of the effect of the highlighted determinants on food retail prices. Research methodology – the study is based on the obtained monthly data of food retail prices that covers the period from 2016 I m. to 2018 XII m. (36 observations). Multiple regression modelling is used in order to create a model of food retail prices. Findings – the results provide evidence that the most influential determinants are the price of the alternative products and purchasing power. It also contributes to scholarly thinking, stating, that it is possible to predict the future retail price of a particular product. Research limitations – the limitation of the current study is that the proposed econometric model is sufficient for the Lithuanian market and ought to be modified if used in other countries. Practical implications – the development model allows to predict/forecast the food retail prices which are crucial for households budget planning. Originality/Value – the current study examines the main determinant of retail food prices. It laid a background for future researches, based on examining possibilities to forecast food prices. The research results contribute to classic economic views about market imperfections influence onto supply-demand equilibrium and unproductiveness of consumer illicit market.


2021 ◽  
Author(s):  
Yan Bai ◽  
Leah Costlow ◽  
Alissa Ebel ◽  
Sarah Laves ◽  
Yurika Ueda ◽  
...  

Abstract The COVID pandemic has cut lives, livelihoods and supply chains, leading to price spikes for some foods and decline for others. We compare monthly retail food prices in up to 180 countries through February 2021, and find significant rises for more nutritious food groups with higher case counts. Prices by food group complement data on farm commodity prices and overall consumer price indexes, and can help guide policy for resilience and response to shocks.


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