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Food Supply without Risk: Multicriteria Analysis of Institutional Conditions of Exporters.

ABSTRACT: International trade in food knows no borders, hence the need for prevention systems to avoid the consumption of products that are harmful to health. This paper proposes the use of multicriteria risk prevention tools that consider the socioeconomic and institutional conditions of food exporters. We propose the use of three decision-making methods-Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS), Elimination et Choix Traduisant la Realité (ELECTRE), and Cross-Efficiency (CE)-to establish a ranking of countries that export cereals to the European Union, based on structural criteria related to the detection of potential associated risks (notifications, food quality, corruption, environmental sustainability in agriculture, and logistics). In addition, the analysis examines whether the wealth and institutional capacity of supplier countries influence their position in the ranking. The research was carried out biannually over the period from 2012-2016, allowing an assessment to be made of the possible stability of the markets. The results reveal that suppliers' rankings based exclusively on aspects related to food risk differ from importers' actual choices determined by micro/macroeconomic features (price, production volume, and economic growth). The rankings obtained by the three proposed methods are not the same, but present certain similarities, with the ability to discern countries according to their level of food risk. The proposed methodology can be applied to support sourcing strategies. In the future, food safety considerations could have increased influence in importing decisions, which would involve further difficulties for low-income countries.

SUBMITTER: Puertas R

PROVIDER: S-EPMC7277195 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Food Supply without Risk: Multicriteria Analysis of Institutional Conditions of Exporters.

Puertas Rosa R Marti Luisa L Garcia-Alvarez-Coque Jose-Maria JM

International journal of environmental research and public health 20200514 10

International trade in food knows no borders, hence the need for prevention systems to avoid the consumption of products that are harmful to health. This paper proposes the use of multicriteria risk prevention tools that consider the socioeconomic and institutional conditions of food exporters. We propose the use of three decision-making methods-Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS), <i>Elimination et Choix Traduisant la Realité</i> (ELECTRE), and Cross-Effi ...[more]

PMID: 32423089

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Project description:PurposeIn the context of the food industry, this research investigates the impact of green supply chain management (GSCM) on environmental health. This helps the practitioners and policy makers in mitigation of the supply chain (SC) risks and enhance the environmental health level.Design/methodology/approachThe study's model was structured using GSC risk factors of green purchasing, environmental cooperation, reverse logistics, eco design, internal environmental management, and investment recovery. A questionnaire-based survey was used to examine the proposed model; 102 data from the senior managers of food firms in Lebanon were collected. Using SPSS and AMOS statistical software, an exploratory factor analysis (EFA), a confirmatory factor analysis (CFA), and multiple regressions have been applied.FindingsThe outcome of structural equation modeling (SEM) revealed that four of six GSC risk factors were significantly related to environmental health. The study findings can be applied to the external level through many green practices in cooperation with suppliers and customers like the collaboration with them on environmentally friendly design, purchasing, production, packaging and using less energy. This can increase the level of environmental health by decreasing the impact of SCM risks. Regarding the internal level, many procedures and decisions may lead to an environmentally friendly ambience in the firms like the commitment of GSCM practices from the management and the implementation of internal eco-performance evaluation system. This may enhance the environmental health provisions by setting up an action plan to mitigate the GSC risk and address the sustainable health objectives.OriginalityThe paper's distinctiveness comes from the fact that it fills a gap in the literature regarding the few numbers of studies that treat the green supply chain management GSCM as mitigation solution for the risks of SCM. In addition, there were no studies explain the relationship between GSCM and environmental health; this will be the first time the assess the impacts of GSCM practices on environmental health in the food industry.

Project description:BackgroundFAO/WHO have encouraged national governments to create food-based dietary guidelines (FBDGs) to support healthy diets. However, little is known about the extent to which food supply composition aligns with FBDGs, thereby structurally supporting or undermining population-level adherence. It is also unclear how this alignment has evolved over time. The aim of this study was to determine to what extent the global food supply aligns with FBDGs, and to examine historical trends.MethodsDescriptive time series analysis of food supply alignment (FSA), 1961-2013. FSA was characterised as a ratio dividing country-level food supply data by FBDG across four food groups: fruit and vegetables (FV); sugar (SU); fish and seafood (FS); and red and processed meat (RP). FBDG data was collected from guidance produced by international bodies, and from countries with published FBDGs. The food supply was estimated using yearly FAOSTAT data. A population-weighted average of this ratio was created for all countries included in the analysis, and stratified by region and country income.FindingsFBDGs from 89 countries were included. Of those, 80% had country guidelines for FV, 34% for SU, 44% for FS, and 21% for RP. FSA (1.0 = perfect alignment) based on global guidelines showed a higher supply than recommended for FV (1.2), SU (1.2) and RP (1.1). FSA based on country guidelines showed a lower supply than recommended for FV (0.9) and a higher supply than recommended for SU (2.3), RP (2.3) and FS (1.4). FSA also showed substantial differences in levels and trends across region and country income.InterpretationAs of 2013, food supplies were not aligned with national and international FBDGs and misalignment persisted across five decades with subtantial variation in trends based on geography and country income. The long running nature of these trends suggest that the transition toward sustainable and healthful food systems represent a signifiant global challange. Additionally, acknowledging the degree of misalignment between macro-level structural factors, such as the composition of the food supply, in relation to national or global food policy aims may further aid efforts for population level adherence.

Project description:ObjectiveMulticriteria decision analysis (MCDA) is a useful tool in complex decision-making situations, and has been used in medical fields to evaluate treatment options and drug selection. This study aims to provide valuable insights into MCDA in healthcare through examining the research focus of existing studies, major fields, major applications, most productive authors and countries, and most common journals in the domain.MethodsA bibliometric analysis was conducted on the publication related to MCDA in healthcare from the Web of Science Core Collection (WoSCC) database on 14 July 2021. Three bibliometric software (VOSviewer, R-bibliometrix, and CiteSpace) were used to conduct the analysis including years, countries, institutes, authors, journals, co-citation references, and keywords.ResultsA total of 410 publications were identified with an average yearly growth rate of 32% (1999-2021), from 196 academic journals with 23,637 co-citation references by 871 institutions from 70 countries/regions. The United States was the most productive country (n = 80). Universiti Pendidikan Sultan Idris (n = 16), Université de Montréal (n = 13), and Syreon Research Institute (n = 12) were the top productive institutions. A A Zaidan, Mireille Goetghebeur and Zoltan Kalo were the biggest nodes in every cluster of authors' networks. The top journals in terms of the number of articles (n = 17) and citations (n = 1,673) were Value in Health and Journal of Medical Systems, respectively. The extant literature has focused on four aspects, including the analytic hierarchy process (AHP), decision-making, health technology assessment, and healthcare waste management. COVID-19 and fuzzy TOPSIS received careful attention from MCDA applications recently. MCDA in big data, telemedicine, TOPSIS, and fuzzy AHP is well-developed and an important theme, which may be the trend in future research.ConclusionThis study uncovers a holistic picture of the performance of MCDA-related literature published in healthcare. MCDA has a broad application on different topics and would be helpful for practitioners, researchers, and decision-makers working in healthcare to advance the wheel of medical complex decision-making. It can be argued that the door is still open for improving the role of MCDA in healthcare, whether in its methodology (e.g., fuzzy TOPSIS) or application (e.g., telemedicine).

Dataset Information

Food Supply without Risk: Multicriteria Analysis of Institutional Conditions of Exporters.

Publications

Food Supply without Risk: Multicriteria Analysis of Institutional Conditions of Exporters.

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