scholarly journals Food Waste Loss Trend Index (FWLTI), A New Tool to Enable Management Decisions

2021 ◽  
Vol 5 (3) ◽  
Author(s):  
János Zachár

The main purpose of this research is to work out a new, innovative tool to describe trends of food waste and loss (FWL) in the food industry. The result can help evaluate efforts for lowering wastes. FWL prevention recently gained much attention and priority among governments and international organizations as a major means to achieve global food security and sustainability; this led to the very ambitious UN goal SDG 12.3, which aims to halve global food losses by 2030. It is an ethical obligation to achieve SDGs by 2030. It is not declared in law and is not required for profitability in the food industry. A new tool is proposed to evaluate efforts to halve food losses in this article, which one may be used in leadership easily and effectively. At first, FWL definitions were analyzed to get a clear picture of the content of FWL data sourced from FAOSTAT and EUROSTAT. These definitions were compared with others from different sources. It is concluded that we have so many different definitions for FWL because of the difference in the purpose of data collecting. The most justified definition – often newly created – is used in each case. FWL data received from FAOSTAT and EUROSTAT in the period of 2010 − 2018 were compared to find the correlation. It is inverse and very weak, so they are not comparable; they must be evaluated separately. The trend of the FWL data is increasing and is not significant on level 95% in EUROSTAT, and decreasing and important on level 95% in FAOSTAT, from 2010 to 2018. FWL data from EUROSTAT are in moderate correlation with GDP and HDI. A new index, Food Waste Loss Trend Index (FWLTI), was created to evaluate FWL in EU member states and analyzed them with cluster analyses and scatterplots. There was no connection among the EU28 member states with FWLTI, so every member state is an individual case; there are no standard rules for FLW generation.

Author(s):  
T. Romanova ◽  
E. Pavlova

The article examines how the normative power, which the EU puts forward as an ideological basis of its actions in the world, manifests itself in the national partnerships for modernization between Russia and EU member states. The authors demonstrate the influence of the EU’s normativity on its approach to modernization as well as the difference in the positions of its member countries. It is concluded that there is no unity in the EU’s approach to democracy, human rights and the rule of law, and the new classification of EU member states, which is based on their readiness to act in accordance with the Union’s concept of normative power, is offered.


2020 ◽  
Vol 6 (24) ◽  
pp. eaay4897 ◽  
Author(s):  
Philipp H. G. Boeven ◽  
Yusheng Zhao ◽  
Patrick Thorwarth ◽  
Fang Liu ◽  
Hans Peter Maurer ◽  
...  

The genetics underlying heterosis, the difference in performance of crosses compared with midparents, is hypothesized to vary with relatedness between parents. We established a unique germplasm comprising three hybrid wheat sets differing in the degree of divergence between parents and devised a genetic distance measure giving weight to heterotic loci. Heterosis increased steadily with heterotic genetic distance for all 1903 hybrids. Midparent heterosis, however, was significantly lower in the hybrids including crosses between elite and exotic lines than in crosses among elite lines. The analysis of the genetic architecture of heterosis revealed this to be caused by a higher portion of negative dominance and dominance-by-dominance epistatic effects. Collectively, these results expand our understanding of heterosis in crops, an important pillar toward global food security.


2009 ◽  
Vol 38 (1) ◽  
pp. 23-29 ◽  
Author(s):  
Henning Harre ◽  
Frauke Pirscher

2019 ◽  
Vol 30 (4) ◽  
pp. 1-7
Author(s):  
Sylwia Łaba ◽  
Mikołaj Niedek ◽  
Krystian Szczepański ◽  
Robert Łaba ◽  
Anna Kamińska-Dwórznicka

Abstract The paper presents the analysis of the guidelines of the European Union, adopted in May, 2019, on the common methodology and quality requirements for the uniform system of measuring the food waste levels in the EU Member States. The Waste Framework Directive obliges the Member States to monitor the generation of food waste and to take measures to limit their production; however, a lack of uniform, reliable method for measuring the food waste levels in the EU causes that it is difficult to evaluate the scale of the problem, its sources and the related tendencies in time. The food waste is generated across the whole food supply chain; so, it is especially troublesome to determine the level of the discussed waste. The food waste with different characteristics, different source and different reasons for its generation is produced in each stage of the chain. The current data on the food wastes do not specify their quantities. In connection with this fact, a separate legal act was developed, that is, the Commission Delegated Decision (EU) dated 3 May 2019, focusing on the measuring of food waste, which is harmonized with the existing systems of data collection and provides a framework for further measures of the Member States in respect of the quantitative determination of the food waste that is generated.


Foods ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 481 ◽  
Author(s):  
Bilska ◽  
Kołożyn-Krajewska

“Food loss”, defined as food produced for human consumption, which for various reasons leaves the supply chain, can be assigned to a group of new risks. Irrational use of food constitutes a risk to the environment. Moreover, food losses represent a missed opportunity to improve global food security. The aim of this study was to develop a risk management model for dairy product losses using the example of ripening cheese. The necessary data to develop the model were derived from a survey that was conducted in five dairies located in Poland. Total losses for nine products amounted to 1.1% of the average annual production, which accounted for more than 5635 t per annum. The studies that were conducted allowed the identification of three management methods of food loss in dairies: reprocessing, hand over for feed, and disposal. The level of risk was defined as “high” with two suggested courses of action: prevention and tolerance. Risks must be prevented by eliminating any errors that may result in a product of inadequate quality. Another solution is to redistribute or sell products at a reduced price, which despite their reduced quality, are nevertheless suitable for consumption. To some extent, this risk must be tolerated.


2020 ◽  
Vol 12 (20) ◽  
pp. 8571
Author(s):  
Fangzhou You ◽  
Tracy Bhamra ◽  
Debra Lilley

Food waste is emerging as a global issue and has been recognised in the Sustainable Development Goals with a specific target to halve per capita global food waste at consumer levels and reduce food losses by 2030. Research on food waste has been neglected particularly in the aviation sector. The International Air Transport Association reported that 5.7 million tonnes of cabin waste was generated on airlines, up to 80.5% of which was leftover food and beverages. The exploration of passengers’ food wasting aims to provide insights for tackling the airline food waste problem. To address this issue, this research investigated the in-flight catering experience of 19 passengers from 21 full-service flights. Qualitative research techniques have been applied to analyse passengers’ food-wasting behaviour by collecting participant-produced photographs and completed questionnaires concerning food-related behaviour. This research identified key factors associated with passengers’ food wasting behaviour by adopting Design for Sustainable Behaviour approaches. Four types of factors were found to influence onboard passenger waste, these were normative, habitual, intentional and situational factors. This research indicates that behavioural change interventions need to incorporate the power of social norms to prevent food waste.


2017 ◽  
Vol 51 (12) ◽  
pp. 6618-6633 ◽  
Author(s):  
Li Xue ◽  
Gang Liu ◽  
Julian Parfitt ◽  
Xiaojie Liu ◽  
Erica Van Herpen ◽  
...  

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