Article
Food Science & Technology
Aimee E. Pink, Katerina S. Stylianou, Li Ling Lee, Olivier Jolliet, Bobby K. Cheon
Summary: The study found that a novel food label, the Health Nutrition Index (HENI), effectively communicates the health benefits of foods, and individuals prioritize the health benefits of foods over the environmental impact they may have.
FOOD QUALITY AND PREFERENCE
(2022)
Article
Green & Sustainable Science & Technology
Selene Righi, Elena Vigano, Luca Panzone
Summary: Food security is becoming an increasingly important issue in society, and its relationship with environmental quality is being recognized. This study examines how consumers' concerns about food insecurity and their environmental beliefs affect the carbon footprint of their diets. The results show that health-related food insecurity concerns lead to a lower carbon footprint, while poverty-related food insecurity concerns lead to a higher carbon footprint due to a focus on taste and low price.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2023)
Review
Nutrition & Dietetics
Brian Cook, Joao Costa Leite, Mike Rayner, Sandro Stoffel, Elaine van Rijn, Jan Wollgast
Summary: Sustainability labelling on food products can assist consumers in making informed choices, but there is limited consumer understanding and small effects in real-world settings. Consumers are willing to pay more for sustainability-labelled products, and intuitive sustainability labelling cues have a greater impact.
Article
Business
Urszula Samotyja, Maria Sielicka-Rozynska
Summary: This study evaluated the influence of date type, freshness labelling, and food category on consumer rejection of expired food. The results showed that consumer rejection criteria changed as the product expired, and consumer behavior regarding edibility after expiration was irrational. Date labelling can contribute to consumer apprehension of a given food product's suitability for consumption, shedding light on the role of building awareness among consumers to reduce waste.
INTERNATIONAL JOURNAL OF CONSUMER STUDIES
(2021)
Article
Food Science & Technology
Mirco Volanti, Francesco Arfelli, Esmeralda Neri, Aurora Saliani, Fabrizio Passarini, Ivano Vassura, Gianluca Cristallo
Summary: This study analyzes the environmental impact of meals provided in school canteens using the Life Cycle Assessment methodology. The results show that meat, fish, and dairy products have the highest greenhouse gas emissions, while vegetables, legumes, fruits, and cereals have lower carbon intensity. Furthermore, first courses are the best option in terms of both carbon footprint and energy content. These findings can guide both consumers in meal choices and food services in menu adjustments for more sustainable production.
Article
Food Science & Technology
Maria Joao Moreira, Juan Garcia-Diez, Jose M. M. M. de Almeida, Cristina Saraiva
Summary: Consumers show a good understanding and trust in food label information, with higher trust in food composition in processed foods. Over half of respondents recognize the existence of food fraud, focusing more on practices that involve risks to public health.
Article
Food Science & Technology
Victoria Williams, Orla Flannery, Ajay Patel
Summary: Non-profit organisations have developed labelling strategies to communicate the environmental impact of food products, helping consumers make more informed purchase decisions. However, the effectiveness of environmental food labelling on changing consumer behavior towards eco-friendly meat choices is unclear. This study investigates consumer attitudes towards an eco-score label on meat products and identifies drivers and barriers to its use through a mixed-methods design.
FOOD QUALITY AND PREFERENCE
(2023)
Article
Food Science & Technology
Gert W. Meijer, Patrick Detzel, Klaus G. Grunert, Marie-Claude Robert, Violeta Stancu
Summary: The review discusses the increasing number of label elements on food labels and their impact on consumer decision making for easier, safer, and healthier food choices. Recommendations include further research on allergen symbols, understanding the health impact of nutrition-related label elements, and promoting global harmonisation in label elements on foods.
TRENDS IN FOOD SCIENCE & TECHNOLOGY
(2021)
Article
Green & Sustainable Science & Technology
Alessandro Bonadonna, Stefano Duglio, Luigi Bollani, Giovanni Peira
Summary: This study focuses on young consumers' perceptions of mountain food products, finding that they generally consider mountain products as fundamental commodities and associate them with concepts such as sustainable development, local traditions, and health. The research provides valuable insights for institutions on promoting understanding of the importance of agricultural products among younger generations.
Article
Public, Environmental & Occupational Health
Alejandra Jauregui, Christine M. White, Lana Vanderlee, Marissa G. Hall, Alejandra Contreras-Manzano, Claudia Nieto, Gary Sacks, James F. Thrasher, David Hammond, Simon Barquera
Summary: Front-of-pack nutrition labels have a positive impact on promoting healthier food choices globally. In this study, the 'High-in' Warning Labels group showed the greatest efficacy in decreasing the perceived healthfulness of a sweetened fruit drink across different countries and demographic characteristics.
PUBLIC HEALTH NUTRITION
(2022)
Article
Chemistry, Applied
Jessica Bevenuto Mattar, Aline Carare Candido, Darlene Larissa de Souza Vilela, Vanessa Ladeira de Paula, Luiza Carla Vidigal Castro
Summary: This article compares the information on the labels of Brazilian food bars with the legislation of the National Health Surveillance Agency and finds that while most information complies with regulations, there are some nutritional irregularities due to the ultra-processed nature of most food bars. Therefore, reforming Brazil's nutrition labeling is necessary to facilitate consumer identification of the nutritional quality/value of foods.
Review
Green & Sustainable Science & Technology
Agnese Rondoni, Simona Grasso
Summary: Studies have shown that females, adults, individuals with higher income and educational level have a more positive attitude towards carbon footprint labels. Despite consumers having poor knowledge of carbon measurements and the existing carbon footprint label system being unclear, using consumer-friendly symbols significantly increases consumer understanding of carbon footprint.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Business
Carolin Groth, Christoph Wegmann, Stephan G. H. Meyerding
Summary: One way to slow down climate change is to help consumers make more sustainable decisions. However, consumer perception of the sustainability of food product characteristics may differ from actual environmental impacts. This study shows that consumers are misinformed regarding the sustainability of food product characteristics, indicating a need to better inform consumers.
JOURNAL OF RETAILING AND CONSUMER SERVICES
(2023)
Article
Nutrition & Dietetics
Bruna Silva, Joao P. M. Lima, Ana Lucia Baltazar, Ezequiel Pinto, Sonia Fialho
Summary: Food labels are an important information tool for consumers in purchasing food products, impacting their perception of quality and choice. This study found that Portuguese consumers have the habit of reading labels and recognizing their importance, but do not fully understand all the information. They have an easier time understanding front-of-pack labeling systems, especially those presented through symbols/colors.
Article
Green & Sustainable Science & Technology
Mohammad Tamim Kashifi, Fahad Saleh Mohammed Al-Ismail, Shakhawat Chowdhury, Hassan M. Baaqeel, Md Shafiullah, Surya Prakash Tiwari, Syed Masiur Rahman
Summary: This study investigated the impact of trading major cereal crops on water footprint, energy, and CO2 emissions in Saudi Arabia. The findings revealed that importing these crops significantly reduced the local water footprint and had a significant impact on energy and CO2 emission savings.
Article
Engineering, Environmental
Hannele Pulkkinen, Taneli Roininen, Juha-Matti Katajajuuri, Maija Jarvinen
INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT
(2016)
Article
Green & Sustainable Science & Technology
F. Vieux, L. Privet, L. G. Soler, X. Irz, M. Ferrari, S. Sette, S. Raulio, H. Tapanainen, R. Hoffmann, Y. Surry, H. Pulkkinen, N. Darmon
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Green & Sustainable Science & Technology
Hannele Heusala, Taija Sinkko, Nesli Sozer, Eemeli Hytonen, Lisbeth Mogensen, Marie Trydeman Knudsen
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Green & Sustainable Science & Technology
Saija Rasi, Karetta Timonen, Katri Joensuu, Kristiina Regina, Perttu Virkajarvi, Hannele Heusala, Elina Tampio, Sari Luostarinen
Article
Engineering, Environmental
Kirsi Usva, Taija Sinkko, Frans Silvenius, Inkeri Riipi, Hannele Heusala
INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT
(2020)
Article
Green & Sustainable Science & Technology
Hannele Heusala, Taija Sinkko, Lisbeth Mogensen, Marie Trydeman Knudsen
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Green & Sustainable Science & Technology
Janis Brizga, Sirpa Kurppa, Hannele Heusala
Summary: This study investigates the environmental impacts of Latvia's dairy farms with different management practices, finding that herd size is associated with environmental impacts, with larger farms using less land but emitting more greenhouse gases. Substituting imported soy feed for domestic protein feeds would significantly increase environmental impacts in Latvian dairy production.
Article
Engineering, Environmental
Katri Joensuu, Karoliina Rimhanen, Hannele Heusala, Merja Saarinen, Kirsi Usva, Ilkka Leinonen, Taru Palosuo
Summary: There is no consensus on how to quantify the impacts of land use on soil organic carbon stocks in life cycle assessments. The choice of model initialization method and timeframe significantly affects the estimates of SOC changes.
INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT
(2021)
Article
Agriculture, Multidisciplinary
Sanna Hietala, Hannele Heusala, Juha-Matti Katajajuuri, Kirsi Jarvenranta, Perttu Virkajarvi, Arto Huuskonen, Jouni Nousiainen
Summary: This study aimed to define current typical Finnish beef production systems and estimate their environmental impacts using a life cycle assessment approach. The results showed that dairy breed beef had significantly lower environmental impacts in all three impact categories compared to beef breed beef, with specified methods providing more accurate results compared to NIR methods.
AGRICULTURAL SYSTEMS
(2021)
Article
Green & Sustainable Science & Technology
L. Mogensen, H. Heusale, T. Sinkko, K. Poutanen, N. Sozer, J. E. Hermansen, M. T. Knudsen
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)
