Effects of red meat taxes and warning labels on food groups selected in a randomized controlled trial.

BACKGROUND: High consumption of red and processed meat contributes to both health and environmental harms. Warning labels and taxes for red meat reduce selection of red meat overall, but little is known about how these potential policies affect purchases of subcategories of red meat (e.g., processed versus unprocessed) or of non-red-meat foods (e.g., cheese, pulses) relevant to health and environmental outcomes. This study examined consumer responses to warning labels and taxes for red meat in a randomized controlled trial. METHODS: In October 2021, we recruited 3,518 US adults to complete a shopping task in a naturalistic online grocery store. Participants were randomly assigned to one of four arms: control (no warning labels or tax), warning labels only (health and environmental warning labels appeared next to products containing red meat), tax only (prices of products containing red meat were increased 30%) or combined warning labels + tax. Participants selected items to hypothetically purchase, which we categorized into food groups based on the presence of animal- and plant-source ingredients (e.g., beef, eggs, pulses), meat processing level (e.g., processed pork versus unprocessed pork), and meat species (e.g., beef versus pork). We assessed the effects of the warning labels and tax on selections from each food group. RESULTS: Compared to control, all three interventions led participants to select fewer items with processed meat (driven by reductions in processed pork) and (for the tax and warning labels + tax interventions only) fewer items with unprocessed meat (driven by reductions in unprocessed beef). All three interventions also led participants to select more items containing cheese, while only the combined warning labels + tax intervention led participants to select more items containing processed poultry. Except for an increase in selection of pulses in the tax arm, the interventions did not affect selections of fish or seafood (processed or unprocessed), eggs, or plant-based items (pulses, nuts & seeds, tofu, meat mimics, grains & potatoes, vegetables). CONCLUSIONS: Policies to reduce red meat consumption are also likely to affect consumption of other types of foods that are relevant to both health and environmental outcomes. TRIAL REGISTRATION: NCT04716010 on www. CLINICALTRIALS: gov .

A randomized controlled trial to test the effects of displaying the Nutri-Score in food advertising on consumer perceptions and intentions to purchase and consume.

BACKGROUND: Some research shows that advertising for high-fat, sugar, or salt (HFSS) products is contributing to a shift in consumer preferences toward products of poor nutritional quality, leading to unhealthy nutritional intakes that increase the risk of obesity and chronic diseases. A strategy of displaying simple and understandable nutritional information (like the front-of-pack nutrition label Nutri-Score) in food messages could be an aid to help guide consumers' choice towards healthier products. METHODS: A randomized controlled experiment was conducted on 27,085 participants randomly assigned to two experimental conditions or a control condition. In both experimental conditions (independent variable: advertising messages with vs. without the Nutri-Score), participants were exposed to advertisements for diversified food products with contrasting nutritional quality and belonging to nine different food categories. Participants were then asked questions about their perception, affective evaluation, and intentions to purchase and consume the products. In the control condition, they were not exposed to the advertisements. RESULTS: Overall, interaction effects between the two variables (1) the messages with vs. without the Nutri-Score and (2) the nutritional quality of products, were significant for all dependent variables, with effect sizes between large and medium. Overall, the better the products' nutritional quality, the more positive their perceptions, affective evaluations, and intentions to buy and consume them. When the Nutri-score was displayed in advertising messages (vs. when it was not), perceptions, affective evaluation, and behavioral intentions: (1) became more positive for products of good nutritional quality (Nutri-score A and B), (2) became more negative for products of poor nutritional quality (Nutri-score D and E), (3) changed little or not at all for products of intermediate nutritional quality (Nutri-Score C). CONCLUSIONS: This research is the first in the literature to demonstrate that displaying the Nutri-Score in advertising messages assists consumers in directing their choices towards healthier foods. Regulations mandating the display of the Nutri-Score in food advertising could be an effective public health measure.

Substantial transmission of SARS-CoV-2 through casual contact in retail stores: Evidence from matched administrative microdata on card payments and testing.

This paper presents quasiexperimental evidence of Covid-19 transmission through casual contact between customers in retail stores. For a large sample of individuals in Denmark, we match card payment data, indicating exactly where and when each individual made purchases, with Covid-19 test data, indicating when each individual was tested and whether the test was positive. The resulting dataset identifies more than 100,000 instances where an infected individual made a purchase in a store and, in each instance, allows us to track the infection dynamics of other individuals who made purchases in the same store around the same time. We estimate transmissions by comparing the infection rate of exposed customers, who made a purchase within 5 min of an infected individual, and nonexposed customers, who made a purchase in the same store 16 to 30 min before. We find that exposure to an infected individual in a store increases the infection rate by around 0.12 percentage points (P < 0.001) between day 3 and day 7 after exposure. The estimates imply that transmissions in stores contributed around 0.04 to the reproduction number for the average infected individual and significantly more in the period where Omicron was the dominant variant.

A comprehensive study of food waste management and processing in the Czech Republic: Potential health risks and consumer behavior.

Food waste is currently a widely discussed phenomenon with significant economic and social consequences. One third of the food produced in the world is wasted at various points along the food supply chain. This article presents a comprehensive study that examines consumer behavior in dealing with food waste and activities in the composting process that enable waste sanitation. The survey conducted as part of this study showed that consumers want to eliminate odors, are concerned about potential infections, and generally sort less food waste. This study suggested that the addition of appropriate additives could be a solution. The results indicated that additives could eliminate negative side effects such as unpleasant odors, the presence of insects and rodents, and act as a prevention of the occurrence of pathogenic organisms. Tea tree oil showed the best positive physical and chemical properties among the additives tested (CaCO3 and citric acid) with a significant effect on inhibiting the growth of bacterial strains such as Salmonella strains and had the strongest antibacterial effect, neutralized unpleasant odors, and stabilized the waste. The use of additives could be a future solution to meet consumer demands, improve the quality of food waste and advance the circular economy to improve the sustainability of agricultural systems.

Consumer preferences for attributes in sweet beverages and market impacts of beverage innovation.

Consumption of sugar-sweetened beverages (SSB) is considered as an important risk factor for the development of overweight and obesity in populations worldwide, with a particular focus on the risks in the younger parts of the population - children and adolescents. Together with fiscal measures and information tools, innovation-based approaches such as the development of sugar-free or sugar-reduced versions of established beverages and development of new beverage products have been used to reduce this challenge, but the effects of product innovation on sugar intake are not well understood from the literature, as previous studies have largely ignored substitution effects of product innovation in the beverage domain. The objective of the present study was to investigate the potential effectiveness of product innovation as a strategy to affect consumers' intake of energy from sweetened non-alcoholic beverages. Using household panel shopping data from approximately 3000 Danish households over the years 2006-2014, we developed a hedonic pricing approach to estimate the influence of product attributes on consumers' utility, based on observed data for Danish households' purchases of sweet drinks. Overall, the study found that beverages' degree of sweetness positively affected the satiation effect of beverage consumption and in turn made the demand for these beverages less sensitive to e.g. price changes or introduction of competing products, whereas the energy density of the beverages positively affected the demand sensitivity to market changes. Findings like these can be useful for assessing market effects as well as environmental and public health impacts of changes to the market environment.

[The on-line turnover of biologically active additives. Part I. Legal regulation of on-line market of imported biologically active additives in Russia].

The interest of population to biologically active additives drastically increased both due to consequences of the COVID-19 corona-virus infection and dynamic development of online trade and active propaganda of healthy lifestyle through mass media. Such production contains in its compound substances that are necessary for maintaining normal vital activity of organism and increasing human immunity. In other cases it can be used as additional and auxiliary agent of treatment of various diseases. In Russia, biologically active additives can be sold through three channels: pharmacies, on-line market and network marketing. In Russia, the results of monitoring of on-line market in 2021-2022 testifies that purchasing of such biologically active additives at on-line platforms turned out to be the riskiest action for human life and health. The biologically active additives were sold at on-line market with serious violations that confirms their danger to health and in some cases for human life. The study demonstrated that nowadays there is no clear-cut legal regulation of turn-over of imported biologically active additives at on-line market. The article presents detailed analysis of normative legal field that regulates in Russia on-line trade of imported biologically active additives and relevant conclusions and recommendations.

The impact of consumer preferences on the evolution of competition in China's automobile market under the Dual Credit Policy-A density game based perspective.

The evolution of the automobile market is a macro-expression of the behavior of automakers' production decisions. This study examines the competitive environment between new energy vehicles (NEVs) and conventional fuel vehicles (CFVs) and develops a game-theoretical model incorporating consumer utility, automaker profit, and the competitive density of NEVs and CFVs. It aims to assess how consumers' preferences for vehicle range and smart features influence automakers' strategic decisions and the broader market evolution under the Dual Credit Policy. The findings indicate: (1) A low NEV credit price facilitates NEV market size growth, but this growth rate diminishes beyond a certain price threshold; (2) The lower the consumer's range preference, the higher NEV credit price can accelerate the development of new energy vehicles to their saturation value. However, when consumers in the market prioritize smart features, increasing the NEV credit price does not significantly influence the growth of NEV market size. (3) Higher consumer preferences for both range and smart features, combined with increased NEV credit prices, can synergistically accelerate the speed of the NEV market to reach the saturation value and also raise the saturation value of the scale of NEVs. And higher consumer range preference combined with increased NEV credit prices has a more significant effect on the promotion of NEV market size than the combined effect of higher consumer smart preference and increased NEV credit prices. The actual data of China's automobile market is used in the simulation of this model. The model and its simulation results effectively explain and reveal the evolutionary impacts of consumers' range and smart feature preference on the promotion of China's NEVs under the Dual Credit Policy to provide effective technological and theoretical support for the promotion of the sustainable development of China's NEV industry.

Overweight in childhood and consumer purchases in a Danish cohort.

BACKGROUND: Prevention and management of childhood overweight involves the entire family. We aimed to investigate purchase patterns in households with at least one member with overweight in childhood by describing expenditure on different food groups. METHODS: This Danish register-based cohort study included households where at least one member donated receipts concerning consumers purchases in 2019-2021 and at least one member had their Body mass index (BMI) measured in childhood within ten years prior to first purchase. A probability index model was used to evaluate differences in proportion expenditure spent on specific food groups. RESULTS: We identified 737 households that included a member who had a BMI measurement in childhood, 220 with overweight and 517 with underweight or normal weight (reference households). Adjusting for education, income, family type, and urbanization, households with a member who had a BMI classified as overweight in childhood had statistically significant higher probability of spending a larger proportion of expenditure on ready meals 56.29% (95% CI: 51.70;60.78) and sugary drinks 55.98% (95% CI: 51.63;60.23). Conversely, they had a statistically significant lower probability of spending a larger proportion expenditure on vegetables 38.44% (95% CI: 34.09;42.99), compared to the reference households. CONCLUSION: Households with a member with BMI classified as overweight in childhood spent more on unhealthy foods and less on vegetables, compared to the reference households. This study highlights the need for household/family-oriented nutrition education and intervention.

Cross-Sectional Analysis of Infant Diet, Outcomes, Consumer Behavior and Parental Perspectives to Optimize Infant Feeding in Response to the 2022 U.S. Infant Formula Shortage.

In May of 2022, millions of U.S. parents encountered uncertainty in safely feeding their infants due to the infant formula shortage. METHODS: An anonymous, electronic, cross-sectional, retrospective survey was used. RESULTS: U.S. parents (n = 178) whose infants were ~10 weeks old during the shortage completed the survey. Of parents, 81% switched formulas during the shortage, 87% switched because they could not find the formula they typically used, 34% switched 3-5 times, 29% of parents visited ≥4 stores/24 h and 26% of parents traveled >20 miles/24 h to purchase formula. Use of infant formula increased (p < 0.01); in infants requiring specialty formula, use of intact cow's milk formula increased (p < 0.05) and use of premature infant formulas decreased (p < 0.05). Infants relying on specialty formulas experienced at least one undesirable outcome compared with non-specialty users. Parents used social media, relatives/friends and healthcare providers for support during the shortage, but their helpfulness scores were suboptimal. Parents reported the need for greater infant formula availability, free prenatal lactation education and postpartum lactation support. CONCLUSIONS: Government, regulatory and healthcare policy oversight are needed to protect the infant feeding system, including more commercially available products, access to banked donor milk and lactation support.

Impact of price reductions, subsidies, or financial incentives on healthy food purchases and consumption: a systematic review and meta-analysis.

Poor diets are a global concern and are linked with various adverse health outcomes. Healthier foods such as fruit and vegetables are often more expensive than unhealthy options. This study aimed to assess the effect of price reductions for healthy food (including fruit and vegetables) on diet. We performed a systematic review and meta-analysis on studies that looked at the effects of financial incentives on healthy food. Main outcomes were change in purchase and consumption of foods following a targeted price reduction. We searched electronic databases (MEDLINE, EconLit, Embase, Cinahl, Cochrane Library, and Web of Science), citations, and used reference screening to identify relevant studies from Jan 1, 2013, to Dec 20, 2021, without language restrictions. We stratified results by population targeted (low-income populations vs general population), the food group that the reduction was applied to (fruit and vegetables, or other healthier foods), and study design. Percentage price reduction was standardised to assess the effect in meta-analyses. Study quality was assessed using the Cochrane Risk of Bias tool and Newcastle-Ottawa Scale. 34 studies were eligible; 15 took place in supermarkets and eight took place in workplace canteens in high-income countries, and 21 were targeted at socioeconomically disadvantaged communities. Pooled analyses of 14 studies showed a price reduction of 20% resulted in increases in fruit and vegetable purchases by 16·62% (95% CI 12·32 to 20·91). Few studies had maintained the price reduction for over 6 months. In conclusion, price reductions can lead to increases in purchases of fruit and vegetables, potentially sufficient to generate health benefits, if sustained.

Please don't throw me in the briar patch! Empirical evidence on the role of instructional cues on eco-label usage in fish consumption decisions.

While contributing to the conservation of natural fish stocks, the aquaculture sector imposes environmental repercussions. The growing popularity of colour-graded eco-labels in promoting pro-environmental practices in food production underscores the need for scientific insights into consumer responses to such labels, particularly with the imminent prospect of a harmonized European labelling framework. The existing literature, although limited and divergent, advocates for real-life testing with fresh, perishable food products, emphasizing the inadequacy of standalone labels and the necessity for complementary measures. Furthermore, the mechanisms underlying how consumers process multi-coloured Front-of-Pack (FOP) labels remain ambiguous, with uncertainties regarding induced consumption shifts stemming from both deliberate information processing and less deliberate associations. This article presents findings from a randomized control trial conducted in a simulated fishmonger store in Derio, Bizkaia, Spain, involving 200 consumers. Participants selected various sea bass products out of multiple options. This task was subject to a 2 (Enviroscore: with vs without) x 2 (Supporting info on Enviroscore: with vs without) between-subject design, resulting in four treatment groups. A 16% increase in the likelihood of selecting lower-impact products was observed. Notably, this effect was evident only in the absence of supporting information on Enviroscore, and the observed impact could not be attributed to any indirect attention effect. In conclusion, Enviroscore exhibits potential in steering consumer choices toward more environmentally friendly aquaculture fish options, even in physical retail settings. However, these effects may be rooted in unconscious responses rather than deliberate environmental considerations, raising questions about the suitability of envisaged policy orientations encompassing disaggregated environmental, nutritional, animal welfare, and social welfare scores. Generalization of these findings warrants validation through further research encompassing a more comprehensive range of products.

Harmonizing culture and consumer psychology: optimizing color schemes for children's product design inspired by traditional ornaments.

Color is one of the vital components of product design and the choice of color combination is a critical factor that affects consumer reaction and purchase decisions. However, the impact of traditional colors on color extraction and product design has seldom been studied. The purpose of this study is to discover suitable colors from traditional patterns to create color schemes that will be used in the design of children's products. Colors were extracted from five major traditional ornaments obtained from Turkmenistan's national carpets, each representing one of the main Turkmen tribes, using tools like Photoshop, Adobe Color, and EasyRGB, with the objective of investigating psychological-emotional attachment, reaction, and attitudes towards the colors obtained. This initial extraction provided 124 color data points. Initially, extracted colors were refined and used to develop novel color schemes by two independent survey studies. The first survey, based on a sample of 104 parents of preschool children, identified colors that have a positive emotional effect on consumer preferences and provided the basis to develop color schemes. As a result, 25 colors were identified for use in developing 14 color schemes. The second survey, based on a sample of 48 parents of preschool children, identified which color schemes have an attraction for consumers. The survey indicated that 11 out of these 14 schemes were highly favored by the respondents. Based on these results, this study proposed new color schemes for children's products, extracted from traditional patterns of Turkmenistan and aligned with the psychological perception of the consumers.

Recent trends in design of healthier fat replacers: Type, replacement mechanism, sensory evaluation method and consumer acceptance.

In recent years, with the increasing awareness of consumers about the relationship between excessive fat intake and chronic diseases, such as obesity, heart disease, diabetes, etc., the demand for low-fat foods has increased year by year. However, a simple reduction of fat content in food will cause changes in physical and chemical properties, physiological properties, and sensory properties of food. Therefore, developing high-quality fat replacers to replace natural fats has become an emerging trend, and it is still a technical challenge to completely simulate the special function of natural fat in low-fat foods. This review aims to provide an overview of development trends of fat replacers, and the different types of fat replacers, the potential fat replacement mechanisms, sensory evaluation methods, and their consumer acceptance are discussed and compared, which may provide a theoretical guidance to produce fat replacers and develop more healthy low-fat products favored by consumers.

Vegetarian, vegan, or plant-based? Comparing how different labels influence consumer evaluations of plant-based foods.

Market actors have a role to play in enabling sustainable food transitions. One challenge for these actors is how to promote plant-based foods in ways that appeal to a growing number of consumers. Here we test how different plant-based related labels affect consumer appraisals of a range of foods (cookies, sausages, cheese, chocolate, pasta). In two studies (pre-registered; NUSA = 1148, NGermany = 491), we examined the effects of a 'vegetarian', 'vegan', or 'plant-based' label (compared to no label) on five attributes (healthy, tasty, ethical, pure, environmentally friendly) related to the products. We also measured self-reported likelihood to purchase the products. Overall, the results indicated that the 'plant-based' label was slightly more appealing to participants than the 'vegetarian' and 'vegan' labels. However, contrary to our expectations, neither consumers' information-seeking tendencies nor their pre-existing attitudes toward plant-based foods influenced (i.e., moderated) the effects of the labels. Anticipated taste was a strong and consistent predictor of purchase likelihood for all labeled products, but the ethical and pure attributes also accounted for unique variance in this outcome variable. Taken together, our findings and discussion provide insights into the role of labels and label terminology on consumer appraisals of plant-based foods.

Shades and shifts in flexitarian and meat-oriented consumer profiles in a German panel study.

Consumers' growing awareness of the adverse effects of high meat consumption has led to increased attention to flexitarian or meat-reduced diets. However, most flexitarians do not significantly reduce their meat consumption and still eat many meat-based meals. This study aims to classify the large and heterogeneous consumer group of flexitarians into different profiles based on attitudinal, normative, and control beliefs about meat reduction. Being aware that consumer profiles can change over time, this study explores the dynamics of the identified profiles using a two-wave panel survey of 430 German consumers. Latent profile analysis revealed distinct flexitarian and meat-oriented consumer profiles, including three stable profiles and one non-stable profile across both waves. The findings indicate that flexitarian and meat-oriented consumer profiles differ significantly in their belief structure about meat reduction and that consumers can switch back and forth to other profiles over time. Practitioners should be aware of changes in the belief structure of flexitarian and meat-oriented consumer profiles when developing meat reduction interventions. Further research is needed to understand the reasons behind these profile shifts.

Every step you take: Nudging animal welfare product purchases in a virtual supermarket.

Animal welfare (AW) is a growing concern for consumers in Germany; however, not all consumers regularly purchase products that have been produced according to high AW standards. The goal of the present study is to test the effect of a multilayered nudge to increase the availability and improve the visibility of AW products in a 3D online virtual supermarket (VS). The nudge included a shelf with AW products (referred to as AW shelf) which was made visible through banners and footsteps on the floor of the VS. The sample of this pre-registered experiment consisted of n = 374 German consumers who regularly purchase meat, milk, and eggs. The results demonstrated that the multilayered nudge was highly effective: the percentage of AW products purchased in the nudging condition was almost twice as high as in the control group. Furthermore, we investigated variables that mediate (ease of finding AW products in the VS) and moderate (price sensitivity) the effectiveness of the multilayered nudge, but no evidence for an effect was obtained. We conclude that multilayered nudges may be a promising tool to increase consumers' AW product purchases. More research is needed to replicate this finding with a field study in a real supermarket.

Sipping a sustainable life: Exploring drivers and barriers in consumer attitudes toward non or low alcoholic spirits.

Alcohol consumption continues to be prevalent and is on the rise in many countries, posing a grave risk for the health and wellbeing of millions and creating a strain on health services worldwide. A hopeful trend has emerged, however, as consumers' growing preference for healthier, sustainable lifestyles has led traditional alcoholic brands to innovate, launching reduced or non-alcoholic (NoLo) options. This aligns with the SDGs and is reflected in NoLo spirits representing four of Spain's top ten disruptive innovations of 2022. This paper uses a mixed methodology in a qualitative-quantitative sequential approach to gain insight into this phenomenon. The study involved 13 in-depth interviews with HoReCa (an acronym for Hotels, Restaurants, and Caterings) professionals and four focus groups among consumers. Second, behavioral reasoning theory (BRT) was used in a quantitative study aiming to explore motivations for and against consuming NoLo spirits. Data from a survey of 620 participants was conducted and analyzed using SEM-PLS to measure the antecedents of consumer's behavioral intention towards NoLo spirits and to gauge the potential for marketing opportunities. The research reveals that the purchase intention of NoLo spirits is strongly related to health consciousness, while enjoying the effects of alcohol for fun and entertainment, and the social pressure to drink hinders its consumption. In addition, it was found that "reasons for" are more substantial than "reasons against" the consumption of those beverages, differing significantly by age group. Results offer implications for theory and practice, including recommendations for practitioners and regulators willing to improve sustainability in the industry. Further, this paper helps augment the innovation adoption literature by using BRT in the paradoxical context of consumers' increasing alcohol abuse despite their professed attempts to adopt healthier lifestyles.

The Nutri-Score Scale-A Tool for Assessing the Nutritional Quality of Processed Meat Products Available on the Polish Market.

Although meat and meat products are important sources of protein in the human diet, consumption appears to be a predisposing factor in the onset of several civilisation diseases, particularly red meat and its products. One way to reduce diet-related diseases is to guide consumers towards consciously purchasing healthier foods by including a nutrition declaration on product labels, such as by using a "front-of-pack" (FOP) labelling system. This study aimed to determine the Nutri-Score classes for processed meat products, distinguish products that are potentially better for consumers, and determine whether the refined algorithm significantly contributed to a change in product classification. An analysis of the labels of 1700 products available on the Polish market indicated that most processed meat products qualified as class D and E. Comparing the refined Nutri-Score calculation algorithm with the original algorithm resulted in a slight change in product allocation. Poultry products were ranked more favourably than red meat products. The most significant change in product allocation (by 35.2%) was achieved by reducing salt content by 30% and fat content by 10%. Among the processed meat products, some are more highly ranked and are hence considered better from a nutritional perspective than others in that group.

Predicting and improving complex beer flavor through machine learning.

The perception and appreciation of food flavor depends on many interacting chemical compounds and external factors, and therefore proves challenging to understand and predict. Here, we combine extensive chemical and sensory analyses of 250 different beers to train machine learning models that allow predicting flavor and consumer appreciation. For each beer, we measure over 200 chemical properties, perform quantitative descriptive sensory analysis with a trained tasting panel and map data from over 180,000 consumer reviews to train 10 different machine learning models. The best-performing algorithm, Gradient Boosting, yields models that significantly outperform predictions based on conventional statistics and accurately predict complex food features and consumer appreciation from chemical profiles. Model dissection allows identifying specific and unexpected compounds as drivers of beer flavor and appreciation. Adding these compounds results in variants of commercial alcoholic and non-alcoholic beers with improved consumer appreciation. Together, our study reveals how big data and machine learning uncover complex links between food chemistry, flavor and consumer perception, and lays the foundation to develop novel, tailored foods with superior flavors.

Pricing decision and channel selection of fresh agricultural products dual-channel supply chain based on blockchain.

The application of blockchain can effectively improve the efficiency of fresh agricultural product circulation and consumer trust, but it can also increase investment costs. In this context, this paper introduces parameters such as blockchain unit variable cost, the level of blockchain technology investment, and consumer channel preference in two dual-channel supply chain systems dominated by fresh agricultural product manufacturers: online direct sales and distribution. It compares and analyzes pricing and channel selection strategies in both cases of not using and using blockchain. The research shows that when blockchain is used, manufacturer profits are higher in the direct sales model than in the distribution model. Traditional retailers' profits are lower in the direct sales model than in the distribution model. Total supply chain profits are higher in the direct sales model than in the distribution model, and they exhibit an inverted "U" shape as the level of blockchain investment increases. In the online direct sales model, if the blockchain technology unit variable cost is within a certain threshold range, manufacturer profits, traditional retailer profits, and total supply chain profits are all higher than when blockchain technology is not used. In the online distribution model, when the blockchain variable cost and blockchain usage level meet certain conditions, manufacturers, traditional retailers, and online distributors all have higher profits when using blockchain technology than when not using it. This study provides theoretical guidance for the practical application of blockchain technology in dual-channel fresh agricultural product supply chains.