1,720,987 research outputs found
Comparison of two different approaches to measure economic access to food and insecurity: An application to Mexican data
Reducing food waste: an investigation on the behaviour of Italian Youths
Purpose â The purpose of this paper is to assess the knowledge of youths concerning food waste as well as to identify factors that influence changes in behaviour concerning food wasted and planning shopping for preventing it. Design/methodology/approach â The data used were collected from a sample of 233 students at Roma-Tre University in Italy. Probit models were specified to identify factors affecting food waste reduction in both pre-shopping and consumption phases. Findings â Results show that the more aware youths are concerning food waste, the more likely they are to reduce leftovers. In contrast, the concern about food freshness increases waste. A greater awareness of the consequences of food wasted increases the likelihood that youths will make a shopping list. Research limitations/implications â The main limitation of the study can be found in the non-probabilistic sampling design used for the collection of data. Practical implications â This study provides information for both social marketers and policy makers. New educational campaigns against food waste should be carried out by providing them with a realistic perception of food waste as well as by teaching young consumers how to recognize the level of freshness of food. Originality/value â This study provides a first insight of the factors that influence food waste reduction as well as the habit of making a shopping list from an individual perspective
Comparison of Two Different Approaches to Measuring Economic Vulnerability to Food Insecurity: An Application to Mexico Using Official Data
The United Nations Social Development Goals ensure the achievement of food security by 2030. Food security is characterized by various aspects, however in this study we focus on economic vulnerability to food insecurity. In particular, we compared two measures: food insecurity levels as defined by the Integrated food security phase classification Global-Partners quantitative scale and those defined by the Latin American and Caribbean Food Security qualitative scale. The qualitative scale only measures nutritional status using specific questions, regardless of food expenditures, while the quantitative scale is based on the share of consumer expenditure spent on food (the ratio between food expenditure and total expenditure). From our analysis on 2018 Mexico data—therefore unaffected by the pandemic—59% of discrepancies were found between the two measures. The qualitative scale does not classify people who spend too much on food as being food insecure, so they are economically vulnerable about housing, healthcare and other important aspects of social life (access to food generate insecurity). The quantitative scale does not identify people who do not have access to high-quality nutrition because they must pay for other fixed expenses, for example for housing or healthcare. These two measures depict two aspects of economic vulnerability to food insecurity, and here we quantify this difference in a developing country. Future research should be at integrating these two aspects into one single indicator based on food and non-food expenditures, so to take into account both the two aspects by using only consumption expenditure data
Guest attendance data from 34 Swedish pre-schools and primary schools
This data article describes 34 datasets, compiled into one table, describing guest attendance at lunch meal servings in Swedish public schools and preschools. Fifteen of the schools and all 16 of the preschools covered belong to one municipality, while the remaining three schools belong to two other municipalities, all located in central Sweden. Data on number of plates was used as a proxy of the number of guests eating lunch. Number of used plates was recorded from late August 2010 to early June 2020, i.e. covering the period both before and during the initial phase of the Covid-19 pandemic, so that making possible to evaluate changes in guest attendance during the pandemic. Since these were real data, all data elements pertaining to exact canteens or staff identity have been removed. There is a scarcity of real business data for scientific and educational purposes, so these datasets can play an important role in research and education within catering management, consumption pattern analysis, machine learning, data mining and other fields
The full-thickness palatal graft technique: Description of an original surgical technique and 15 case reports
Enablers and barriers to circular supply chain management: a decision-support tool in soft wheat bread production
Purpose: There is a limited understanding of effective strategies for tackling food loss and waste (FLW) following a circular supply chain management approach. The aim of this study is to analyze the role of the FLW Reporting and Accounting Standard for identifying FLW occurrences throughout the agri-food supply chain and facilitate their measurement. Our objective is to describe how this FLW is then reused within a circular economy (CE) perspective, thus enabling companies to implement a circular supply chain approach for effective decision-making based on the concept of waste hierarchies, the 3R and 4R rules. Design/methodology/approach: An in-depth analysis of Barilla's soft bread supply chain is provided in this study. By gathering both qualitative and quantitative data, this study investigates the implementation of the FLW standard by (1) identifying the main enablers and obstacles in measuring FLW throughout the entire production system; (2) providing a useful standardized tool for sustainable FLW measurement, minimization and reuse in other agricultural supply chains to enable circular economy approaches and (3) developing a decision-support strategy to use within the company for effective measurement, analysis and reuse according to a CE perspective. Findings: The analyses carried out throughout Barilla's soft wheat bread supply chain provide an interesting example of a circular management system since almost nothing is lost or wasted while the value of resources is recovered through reuse thanks to a systematic and integrated measurement, representing a basis for effectively minimizing waste. The importance of developing an interconnected supply chain management emerged in order to obtain a comprehensive accounting framework for accurately quantifying and reporting the overall amount of wastage generated in the various phases of food production, paying particular attention to ex ante prevention initiatives and ex-post assessment actions. Originality/value: An interdisciplinary approach integrating circular economy and supply chain management research streams was adopted in order to develop a decision-support tool that also includes the identification of the main facilitators and obstacles to the implementation of a comprehensive standardized accounting process that would enable companies to reduce-reuse-recycle losses and waste throughout the entire production process. Besides the studies available in the literature, the original of this study is that it focuses on organizational implications related to FLW measurement
Consumer expenditure, elasticity and value of food waste: A Quadratic Almost Ideal Demand System for evaluating changes in Mexico during COVID-19
Household food waste is driven by consumer habits and behaviors. The necessary measures implemented during the lockdown worldwide to contain the Covid-19 pandemic altered these consumer practices. This paper examines how household's culinary traditions and food management have changed in Mexico as a result of Covid-related restrictions, and their impact on food waste. We obtained 525 answers using an online survey about food habits distributed through social networks in Mexico between December 2020 and January 2021. The results show that the participating households increased their monetary expenditure on groceries and reduced food waste during the pandemic. The estimation of consumer responsiveness to waste, through the introduction of a framework based on a Quadratic Almost-Ideal Demand System, confirms that, even more during the lockdown, food waste has become a luxury good. The analysis of food category changes allows for a detailed study useful to curtail the level of food waste in Mexican households and to encourage transition towards sustainable and circular consumption behaviors
Food waste reduction and economic savings in times of crisis: The potential of machine learning methods to plan guest attendance in Swedish public catering during the Covid-19 pandemic
Food waste is a significant problem within public catering establishments in any normal situation. During spring 2020 the Covid-19 pandemic placed the public catering system under greater pressure, revealing weaknesses within the system and generation of food waste due to rapidly changing consumption patterns. In times of crisis, it is especially important to conserve resources and allocate existing resources to areas where they can be of most use, but this poses significant challenges. This study evaluated the potential of a forecasting model to predict guest attendance during the start and throughout the pandemic. This was done by collecting data on guest attendance in Swedish school and preschool catering establishments before and during the pandemic, and using a machine learning approach to predict future guest attendance based on historical data. Comparison of various learning methods revealed that random forest produced more accurate forecasts than a simple artificial neural network, with conditional mean absolute prediction error of <0.15 for the trained dataset. Economic savings were obtained by forecasting compared with a no-plan scenario, supporting selection of the random forest approach for effective forecasting of meal planning. Overall, the results obtained using forecasting models for meal planning in times of crisis confirmed their usefulness. Continuous use can improve estimates for the test period, due to the agile and flexible nature of these models. This is particularly important when guest attendance is unpredictable, so that production planning can be optimized to reduce food waste and contribute to a more sustainable and resilient food system
Caring more about food: The unexpected positive effect of the Covid-19 lockdown on household food management and waste()
Over half of the total amount of food wasted in Europe concerns household food waste which is mainly due to incorrect food management habits and behaviour. During the Covid-19 outbreak, food management and consumption habits changed dramatically due to the tough lockdown restrictions imposed by governments to reduce infection. This study investigated how these dramatic changes in the daily lives of consumers influenced the generation of food waste at household level. A CAWI questionnaire was administered to a sample of 1078 Italian consumers during the lockdown (March–April 2020). The respondents were asked to self-estimate the percentage of food their households wasted before and during the lockdown and to explain their food management habits. We focused the analysis on the differences between the food the respondents declared to have wasted before and during lockdown, which revealed that most households threw away less food during the Covid-19 lockdown compared to the pre-Covid situation. We referred to Seemingly Unrelated Regression models to evaluate the association between the food waste behaviour in the two periods considered in the study and the other factors observed. The results disclosed that young consumers and people who started implementing good food management practices (shopping list, meal planning etc.) more frequently considerably reduced the food they wasted during lockdown. Also, the logistical difficulties of grocery shopping experienced by consumers during lockdown made them manage their household food consumption more carefully, which led to a reduction in the amount of food wasted
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