Revisiting the LCA+DEA method in fishing fleets. How should we be measuring efficiency?
In: Marine policy, Volume 91, p. 34-40
ISSN: 0308-597X
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In: Marine policy, Volume 91, p. 34-40
ISSN: 0308-597X
In: STOTEN-D-23-11287
SSRN
In: Waste management: international journal of integrated waste management, science and technology, Volume 124, p. 244-253
ISSN: 1879-2456
In: HELIYON-D-23-54565
SSRN
The Water-Energy-Food (WEF) nexus approach should be promoted as a tool for sustainable management of resources through the interconnection of these three fundamental pillars. Particularly, food security must ensure healthy and balanced diets for everyone, but selecting individual indicators to assess all slants covered by this element is not an easy task. Hence, the objective of this paper is two-fold, to review nutrient profiling (NP) models that allow to categorize foods and evaluate diets based on their nutritional quality, and to choose the most appropriate model to be used within a WEF nexus index. To address this issue, a total of 159 documents were assessed, appraising the geographic distribution, and time evolution of the publications, as well as the characteristics and potential applications of the NP systems. The review concludes that the NRF9.3. model is the most liable option to be used in a WEF nexus index, presenting the best characteristics by means of the definition of scores and thresholds, and the use of an 'across-the-board' criteria and a reference quantity of 100 kcal, alongside offering higher ability to assess diets and foods than the other competitive model (HEI) through the evaluation of nutrients to encourage instead of foods. A secondary outcome of the review is the identification of the NP models as a useful tool to enable institutions with information to establish policies in the field of public health and facilitating the decision-making process according to the current healthy claims. ; The authors are grateful for the funding of the Spanish Ministry of Science and Innovation through the KAIROS-BIOCIR project (PID2019- 104925RB) (AEO/FEDER, UE) and of the Interreg Atlantic Area through the NEPTUNUS project (EAPA_576/2018). Daniel Hoehn thanks the Ministry of Economy and Competitiveness of Spanish Government for their financial support via the research fellowship BES-2017-080296. Jorge Cristóbal acknowledges financial support from the Spanish Ministry of Science, Innovation and Universities through the "Beatriz Galindo" grant BEAGAL18/00035.
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In: STOTEN-D-23-07484
SSRN
SSRN
The generation of food loss and waste (FLW) is a global problem for worldwide politics. About one-third of the food produced ends up in the rubbish before it is consumed. For this reason, it is essential to design and implement new strategies along the food supply chain (FSC) with the aim of reducing this FLW at each stage. However, not only mass quantification should be considered, but also economic and nutritional performance. The novelty of this study is the definition of a methodology based on the "distance to target" approach by means of multi-objective optimization to evaluate the economic and nutritional cost produced by this FLW. This methodology was applied to the Spanish food basket in 2015. The results revealed that 80% of the total FLW generated in economic and nutritional terms is concentrated in the agricultural production (53.3%) and consumption (26.3%) stages. In the first stages of the FSC, fruits (Dn eq.= 0.7), cereals (Dn eq.= 0.61), and vegetables (Dn eq.= 0.57) were the furthest from the distance target due to the great amount of FLW generated. Moreover, according to the normalized weighted distances obtained from the minimization of economic and nutritional cost, pulses (Dn eq. = 0.05–0.03) and eggs (Dn eq. = 0.02) were the more efficient food categories. The methodology described in this study proposes a single index to quantify the economic and nutritional cost of different food categories to facilitate the decision-making process. This index makes possible the definition of reduction strategies focused on specific food categories and depending on the FSC stage.
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