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Background/Objectives: To examine the effects of two interventions on consumer purchases of fruits and vegetables (F&V) on the Danish island of Bornholm: a 20% discount on F&V combined with improved shelf-space allocation, and improved shelf-space allocation alone. Subjects/Methods: A space management intervention to promote F&V sales was performed in two large discount supermarkets on Bornholm in Denmark for 3 months (September–November 2012). In addition, a 20% discount on F&V was introduced for 3 months in one of the supermarkets (‘space + price’). The effect was evaluated using sales data from the two intervention supermarkets and three control supermarkets from the same supermarket chain but in Odsherred, Denmark (control area). Both the effect on sales of fresh F&V and potential unhealthy substitution effects were evaluated using multi-level regression analyses. Results: During the price intervention period, the index number for sales of fresh vegetables increased by 22.2% ( P =0.001) in the ‘space + price’ intervention supermarket compared with the control supermarkets. Furthermore, the index number for the sale of organic fresh fruit and vegetables increased by 12.1% ( P =0.04) and the sale of the total amount of fruit and vegetables (fresh, frozen, dried and canned) increased by 15.3% ( P =0.01) compared with the control supermarkets. In the ‘space only’ intervention supermarket no significant increase in the sale of fruit and vegetables was found. No unhealthy substitution effects were found. Conclusions: In conclusion, a 20% price reduction on F&V significantly increased sales of F&V. The effect was most pronounced on vegetables and no negative/unhealthy substitution effects were found.

The rising prevalence of non-communicable diseases has brought attention to the importance of consuming a healthy diet. One strategy to improve diet quality is through front-of-pack (FOP) nutrition labels. Taking advantage of an online grocery store, we allowed consumers to choose the FOP labels they preferred, and combined this information with real-time feedback on the overall nutritional quality of the shopping basket. We hypothesized that these dynamic food labels with real-time feedback (DFLF) would improve nutritional quality of food purchases. This trial followed a two-arm (no-label control and DFLF) crossover design with 125 participants exposed to each condition once in random order via an online grocery store. A first difference regression model allowed for estimating the unbiased effect of the DFLF on diet quality, measured by the weighted average Nutri-Score (ranging 1 to 5) per serving (primary) and changes in select nutrients and calories. The mean weighted Nutri-Score was 0.4 (12.6%) higher in the DFLF arm (CI: [0.2, 0.6]) relative to the control. The DFLF also decreased the amount of sugar per serving by 0.9 g (CI: [−1.7, −0.0]) and total sugar per shop by 169.5 g (CI: [−284.5, −54.5]). The DFLF features significantly improved nutrition quality relative to no labelling, as measured by average Nutri-Score values. These results shed light on the considerable potential of the online shopping environment to improve diet quality through customization and real time feedback.

Six US states have implemented retail sales of recreational marijuana. Training in responsible sales practices has been effective in the alcohol market. An online responsible marijuana vendor (RMV) training was produced and implemented with stores in a randomized trial. An online RMV training was developed through meetings with state regulators and local law enforcement personnel, curriculum standards published by the Colorado Marijuana Enforcement Division in May 2015, interviews with recreational marijuana store personnel (n = 15), and usability testing of a prototype training with store personnel (n = 19) in Colorado and Washington State. The training contained 5 modules: state laws and regulations, ID checking, health effects of marijuana, customer service practices including recognizing intoxicated patrons, and rules of the trade. A randomized controlled trial testing the training enrolled a random sample of state-licensed retail recreational marijuana stores (n = 225) in Colorado, Oregon, and Washington State. In total, 125 stores were randomly assigned to receive the RMV training. A total of 420 store employees completed the online training between June 2017 and February 2018 (43.5% female, 88.4% younger than 40 years, and 74.1% non-Hispanic white). Responses to posttraining surveys showed that most trainees found the training user-friendly (78.4%), were satisfied (68.8%), and would recommend it to another employee (91.1%). The training improved trainees' ability to check IDs (pretraining mean = 3.91 [SD = 1.36], posttraining mean = 4.58 [SD = 0.66], t387,388 = 8.68, P < .001) and their confidence to use the state's inventory tracking system (pretraining mean = 2.52 [SD = 0.65], posttraining mean = 2.85 [SD = 0.39], t387, 388 = 10.89, P < .001) and spot intoxicated customers (pretraining mean = 2.79 [SD = 0.41], posttraining mean = 2.94 [SD = 0.25], t387,388 = 6.87, P < .001). Online RMV training was acceptable to retail recreational marijuana personnel and potentially improved responsible sales practices. Responsible vendor training has been successful under certain conditions in the alcohol market and should be considered for the recreational marijuana market.

To assess the feasibility and efficacy of in-restaurant interventions aiming to promote healthy choices via fundraising incentives benefiting school wellness programmes and point-of-purchase nutrition promotion. Twelve schools were randomly assigned to one of the two intervention periods: Fundraising Incentive (FI) donated funds for visiting the study restaurant and Fundraising-Healthy Eating Incentive (F-HEI) included FI with additional funds given when selecting a healthier item. Both conditions included point-of-purchase nutrition promotions. Families were recruited to attend their designated intervention and complete a survey. Feasibility was assessed based on recruitment and participation, implementation fidelity and intervention acceptability. Efficacy was assessed by comparing participant receipts between intervention periods and by comparing overall restaurant sales during intervention v. two no-intervention time frames. Fast-casual restaurant in Southern California. Parents with children attending participating schools. Eighty-one families visited the restaurant during the intervention, with sixty-six completing surveys. All study activities were implemented successfully, but school family participation in the intervention was low (0·95 %). Among participants completing surveys, all indicated satisfaction with the programme. The percentage of healthier items ordered was significantly greater during both FI (χ2 = 5·97, P = 0·01) and F-HEI (χ2 = 8·84, P = 0·003) v. Comparison 2. Results were similar but did not reach statistical significance when comparing the interventions to Comparison 1. Results support potential efficacy of this programme, but more research is needed to inform feasibility. Fidelity and acceptability data supported feasibility, but participation rates were low in this initial study. Methods evaluating this intervention with a greater proportion of parents should be considered.

Mobile produce markets are increasingly popular retail vendors used for providing access to fresh fruits and vegetables (F&V) in under-resourced communities; however, evaluation is limited due to design and implementation challenges. This protocol presents the original design of a randomized control trial aimed at assessing the effectiveness of the evidence-based Veggie Van (VV) mobile market model. Nine US community partner organizations were asked to partner with four community sites serving lower-income areas. Sites are randomized to either intervention or control. Intervention sites will host a mobile market for one year while the control sites will host planning events, with the goal to open a market afterward. Eligible participants are aged ≥ 18, the primary household shopper, live nearby/regularly frequent the site, and have expressed interest in learning about a mobile market. The primary outcome, F&V consumption, will be assessed via dietary recall at baseline and 12 months and compared between the intervention and control sites. This research advances work on the VV model and methods for mobile market evaluation with the addition of more robust measures and the study design. Determining the effectiveness of the VV model is imperative to justify taking it to scale to enhance the impact of mobile markets.

Implementing interventions that manipulate food store environments are one potential strategy for improving dietary behaviors. The present study evaluated intervention effects, from the El Valor de Nuestra Salud (The Value of Our Health) study, on in-store environmental changes within Latino/Hispanic-focused food stores (tiendas). Sixteen tiendas were randomly assigned to either: a six-month structural and social food store intervention or a wait-list control condition. Store-level environmental measures of product availability, placement, and promotion were assessed monthly from baseline through six-months post-baseline using store audits. Linear mixed effects models tested for condition-by-time interactions in store-level environmental measures. Results demonstrated that the intervention was successful at increasing the total number of fruit and vegetable (FV) promotions (p < 0.001) and the number of FV promotions outside the produce department (p < 0.001) among tiendas in the intervention versus control condition. No changes in product availability or placement were observed. Results suggests changing the marketing mix element of promotions within small stores is measurable and feasible in an in-store intervention. Difficulties in capturing changes in product availability and placement may be due to intervention implementation methods chosen by tiendas. It is important to build upon the lessons learned from these types of interventions to disseminate evidence-based in-store interventions.

This study investigates the channel coordination issue of a supply chain with a risk-neutral manufacturer and a loss-averse retailer facing stochastic demand that is sensitive to sales effort. Under the loss-averse newsvendor setting, a distribution-free gain/loss-sharing-and-buyback (GLB) contract has been shown to be able to coordinate the supply chain. However, we find that a GLB contract remains ineffective in managing the supply chain when retailer sales efforts influence the demand. To effectively coordinate the channel, we propose to combine a GLB contract with sales rebate and penalty (SRP) contract. In addition, we discover a special class of gain/loss contracts that can coordinate the supply chain and arbitrarily allocate the expected supply chain profit between the manufacturer and the retailer. We then analyze the effect of loss aversion on the retailer’s decision-making behavior and supply chain performance. Finally, we perform a numerical study to illustrate the findings and gain additional insights.

Drawing on a recent online survey combined with city-level data, this paper examines the impact of the COVID-19 on consumers' online food purchase behavior in the short term. To address the potential endogeneity issues, we adopt an instrumental variable (IV) strategy, using the distance from the surveyed city to Wuhan as the instrumental variable. We show that our IV method is effective in minimizing potential bias. It is found that the share of confirmed COVID-19 cases increases the possibility of consumers purchasing food online. This is more likely to be the case for young people having a lower perceived risk of online purchases and living in large cities. Despite some limitations, this paper has policy implications for China and other countries that have been influenced by the COVID-19 epidemic. Specifically, government support and regulation should focus on (i) ensuring the safety of food sold on the internet, (ii) protecting the carrier from becoming infected, and (iii) providing financial support to the poor since they may have difficulties in obtaining access to food living in small cities. Moreover, how to help those who are unable to purchase food online because of their technical skills (e.g., the elderly who are not familiar with smart phones or the internet) also deserves more attention for the government and the public.

Recently, Live Streaming Selling (LSS) has become increasingly prevalent. Numerous omnichannel retailers are striving to introduce live streaming channel to absorb additional demand. However, it is challenging to investigate robust pricing and inventory strategies that consider the characteristics of omnichannel operations and LSS with uncertain demand. We consider a joint optimization of ordering, replenishment, order fulfillment, and pricing, where customers are sensitive to prices and delivery times. LSS can influence demand and benefit other channels to take free-riding. Furthermore, service level requirements are formulated as joint chance constraints to guarantee adequate performance. The Worst-case Mean Quantile-Deviation (WMQD) is employed to measure risks. The Wasserstein metric is adopted to design the data-driven ambiguity set. Accordingly, a data-driven Distributionally Robust Joint Chance Constrained Programming (DRJCCP) based on WMQD is constructed. Leveraging the dual theory, Conditional Value-at-Risk (CVaR) approximation, and linearization techniques, the developed model can be transformed into tractable formulations, which can be solved by commercial solvers. We further conduct numerical experiments to demonstrate the efficiency and practicality of our developed model. The comparative results reveal that the DRJCCP model based on WMQD has superior out-of-sample performance and is capable of effectively managing uncertainty, thereby ensuring more robust service levels. Furthermore, the sensitivity analyses are performed to verify the effects of some key parameters on the decision-making. The results indicate that introducing live streaming channel is not always profitable for the retailer and increasing the level of LSS effort can enhance free-riding effect without necessarily improving retailer’s profits.

Significance The past few decades have seen an intensification of international food trade and the increase in the number of countries that depend on food imports. As an effect of the associated globalization of food, local shocks in food production, combined with the adoption of new national or regional energy and trade policies, have recently led to global food crises. Here we develop a framework to investigate the coupled global food–population dynamics, and evaluate the effect of international trade on global food security. We find that, as the dependency on trade increases, the global food system is losing resilience and is becoming increasingly unstable and susceptible to conditions of crisis. The escalating food demand by a growing and increasingly affluent global population is placing unprecedented pressure on the limited land and water resources of the planet, underpinning concerns over global food security and its sensitivity to shocks arising from environmental fluctuations, trade policies, and market volatility. Here, we use country-specific demographic records along with food production and trade data for the past 25 y to evaluate the stability and reactivity of the relationship between population dynamics and food availability. We develop a framework for the assessment of the resilience and the reactivity of the coupled population–food system and suggest that over the past two decades both its sensitivity to external perturbations and susceptibility to instability have increased.