Driven by economic development and urbanisation, protein consumption has surged worldwide over the last 50years, rising from 61g per person per day in 1961 to 80g per person per day in 2011 [Corrected]. This contribution analyses the apparent convergence of dietary models worldwide with respect to the proportion of ABP and especially meat in intake. By using FAO data for 183 countries over the period 1961-2011, the authors show the connection between annual per capita GDP and the level of ABP (R2=0.62) and meat consumption (R2=0.62). They emphasise the surge in ABP intake in emerging countries (China, Brazil) which has partly replaced plant protein. However, for similar degrees of economic development, the composition of ABPs and the position of meat within this category vary significantly among countries, suggesting that historical, geographical, cultural and religious factors may be involved.

No abstract

To examine whether four pre-selected front-of-pack nutrition labels improve food purchases in real-life grocery shopping settings, we put 1.9 million labels on 1266 food products in four categories in 60 supermarkets and analyzed the nutritional quality of 1,668,301 purchases using the FSA nutrient profiling score. Effect sizes were 17 times smaller on average than those found in comparable laboratory studies. The most effective nutrition label, Nutri-Score, increased the purchases of foods in the top third of their category nutrition-wise by 14%, but had no impact on the purchases of foods with medium, low, or unlabeled nutrition quality. Therefore, Nutri-Score only improved the nutritional quality of the basket of labeled foods purchased by 2.5% (−0.142 FSA points). Nutri-Score's performance improved with the variance (but not the mean) of the nutritional quality of the category. In-store surveys suggest that Nutri-Score's ability to attract attention and help shoppers rank products by nutritional quality may explain its performance.

In this paper the hedonic price technique is applied to Bordeaux wine. In the hedonic price function we include not only the ‘objective’ characteristics appearing on the label of the bottle, but also the sensory characteristics of the wine. Our data come from an experimental study in which juries have evaluated and graded a sample of Bordeaux wines. The estimation of the hedonic price equation shows that the market price is essentially determined by the objective characteristics. The estimation of a jury grade equation shows that quality, unlike the market price, is essentially determined by the sensory characteristics.

A hedonic price equation and two jury grade equations are estimated for Burgundy wine. The approach is the same as in an earlier Bordeaux wine paper (Combris et al., 1997). The data come from an experimental study that is very similar to the study on Bordeaux wines. The results for the two wine-growing regions are compared and discussed.