Food Loss Reduction and Carbon Footprint Practices Worldwide: A Benchmarking Approach of Circular Economy

Esquerre-Botton, Sharon; Álvarez-Risco, Aldo; Leclercq-Machado, Luigi; Anderson-Seminario, María de las Mercedes; Del-Aguila-Arcentales, Shyla

doi:10.1007/978-981-19-0549-0_8

Cited by 13 publications

(2 citation statements)

References 159 publications

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“…For this, we draw on the literature examining the barriers SMEs face in adopting CE strategies and elaborate on how calculating the CF of products can address some of these barriers. Although studies have yet to examine the benefits of calculating the CF of various activities, such as energy production [99,100], food production and farming [101,102], waste reduction [103], and packaging [104], they need to address specific products Moreover, studies have yet to examine how specific CE barriers can be addressed by calculating the CF of products. CF is a significant indicator of both sustainability and circularity.…”

Section: Introductionmentioning

confidence: 99%

Developing a Tool for Calculating the Carbon Footprint in SMEs

Eleftheriadis,

Anagnostopoulou

2024

Sustainability

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The need to rapidly reduce greenhouse gases (GHGs) has accelerated the adoption of circular economy (CE) practices. However, this has proved challenging for small and medium enterprises (SMEs), who lack the financial, organizational, and informational capabilities to adopt circular business models. This paper highlights some of the SMEs’ challenges in adopting CE practices. It focuses on the need to calculate their carbon footprint (CF) by drawing on the literature examining the effect of information technologies (IT) on adopting CE strategies. This study aims to present a CF calculation tool used to calculate the CF of SMEs. The tool’s design is based on the Life Cycle Assessment (LCA) methodology, which assesses the environmental impact of a particular service or product over the different stages of its life cycle. The tool was tested in a small cheese factory in northern Greece, an SME representative of the country’s average SME. The production process was mapped, a GHG inventory was created, and the total emissions related to the production of a specific product were estimated. Our results show that adopting such CF calculation tools can have various implications regarding the organizational structure of SMEs, leading to cost reductions and reducing potential environmental impacts. The final aim is to test this tool at a large scale.

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Section: Introductionmentioning

confidence: 99%

Developing a Tool for Calculating the Carbon Footprint in SMEs

Eleftheriadis,

Anagnostopoulou

2024

Sustainability

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“…There is an increased awareness of the negative effect of pesticides [ 3 ] and the predation risk caused by the gastronomic boom of countries such as Peru that promote culinary tourism [ 4 ]. Sustainability and sustainable development goals play a critical role in the constant supply chain of food [ 9 , 10 ], recycling of food waste [ 11 ], waste reduction [ 12 , 13 ], and reduced carbon footprint [ 12 , 14 , 15 ] and water footprint [ 12 , 13 , 15 ]. All these factors, together with the exponential growth of restaurants, provide more options for families to engage in greater consumption of food away from home (CFAH) [ 16 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

Poverty, Household Structure and Consumption of Foods Away from Home in Peru in 2019: A Cross-Sectional Study

Lozada‐Urbano

Huamán

Xirinachs

et al. 2022

Foods

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The aim of this study was to evaluate the probability of buying food away from home according to the type of household using the logit model, as well as the sociodemographic characteristics of the heads of household, and how much income expenditure represents. A cross-sectional study was carried out using the National Household Survey (ENAHO) 2019 database. After joining the database, the household type variables were created. To calculate the probability with the “logit” model of purchase, the variables—family size, income, types of household, and total expenditure—were selected as a measure of the purchasing power of the family. A statistically significant association (p < 0.05) was found between the probability of consumption and the variables: age of household members, predominance, nuclear without children–married, nuclear with children–cohabitant, nuclear with children–widowed, nuclear with children–separated, extended, compounded, poor not extreme, and not poor. The bulk of families was represented by nuclear families (61.97%). The highest expenditure in the CFAH was for families defined as composite with a yearly average of USD 1652.89 (equivalent to PEN 5520.67). Observing the expenditure on food consumed outside the home through the composition of households can allow a better approach to offer educational measures. This information can be helpful to developers of educational issues.

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Creating a Green Circular Entrepreneurship Mindset in Students

Anderson-Seminario

Álvarez-Risco

2023

Environmental Footprints and Eco-Design of Products and Processes

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Food Loss Reduction and Carbon Footprint Practices Worldwide: A Benchmarking Approach of Circular Economy

Cited by 13 publications

References 159 publications

Developing a Tool for Calculating the Carbon Footprint in SMEs

Developing a Tool for Calculating the Carbon Footprint in SMEs

Poverty, Household Structure and Consumption of Foods Away from Home in Peru in 2019: A Cross-Sectional Study

Creating a Green Circular Entrepreneurship Mindset in Students

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