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MagnetGrid is a modular economic land-use model adding spatial detail to macroeconomic foresight. It projects and visualises future agricultural land-use change patterns that may emerge from a combination of climatic and socio-economic developments, quantifying the impacts resulting from these trends and evaluating their potential trade-offs across multiple dimensions. Being spatially explicit, results from MagnetGrid can be visualised for a non-technical audience through maps showing the changes in land use at global, regional, country and local levels., MagnetGrid is een modulair economisch landgebruiksmodel dat ruimtelijk expliciete biofysische informatie combineert met macro-economische projecties. MagnetGrid visualiseert toekomstige agrarisch landgebruikspatronen gedreven door een combinatie van klimatologische en socioeconomische ontwikkelingen. Het model kwantificeert de impact van deze trends en de mogelijke uitruil tussen verschillende doelstellingen. De ruimtelijk expliciete analyses van MagnetGrid kunnen voor een breed publiek toegankelijk gemaakt worden door kaarten die veranderingen in landgebruik laten zien op wereld-, regio-, land- en lokaal niveau.

This work provides an internationally comparable consumer food waste dataset based on food availability, energy gap and consumer affluence. Such data can be used for constructing meaningful and internationally comparable metrics on food waste, such as those for Sustainable Development Goal 12. The data suggests that consumer food waste follows a linear-log relationship with consumer affluence and starts to emerge when consumers reach a threshold of approximately $6.70/day/capita level of expenditure. These findings also imply that most empirical models overestimate consumption by not accounting for the possibility of food waste in their analysis. The results also show that the most widely cited global estimate of food waste is underestimated by a factor greater than 2 (214 Kcal/day/capita versus 527 Kcal/day/capita). Comparison with estimates of US consumer food waste based on national survey data shows this approach can reasonably reproduce the results without needing extensive data from national surveys.

This study describes methodologies that have been developed to assess the food security impact of agricultural technologies supplied by stock exchange companies on the basis of publicly available revenue data. The methods have been developed for fertiliser, improved seeds, cooling and packaging. Given the lack of information on key variables at present it is only possible to apply the method for fertiliser to all companies that sell the technology in their portfolio. For the other three technologies additional information is necessary that is not publicly available., Dit rapport beschrijft de methodes die zijn ontwikkeld om publiek beschikbare data over de opbrengsten van beursgenoteerde bedrijven uit de verkoop van agrarische technologieën, te koppelen aan het effect van deze technologieën op voedselzekerheid. De methodes zijn ontwikkeld voor kunstmest, zaden, verpakkingen en koeltechnieken. Enkel voor kunstmest kan op basis van publiek beschikbare data de methode algemeen worden toegepast, de andere drie technologieën vereisen aanvullende data of aannames die niet algemeen beschikbaar zijn.

Reasons behind food loss can be very specific for each product and supply chain stage but it is also affected by factors independent of the product and stage. This work focuses on such generic factors and develops a framework to analyze food loss as a systemic outcome. The framework highlights the interconnected nature of problem across supply chain stages and therefore emphasizes the need to look at the whole system instead of specific stages, when proposing solutions. Practices and underlying causes contributing to food loss are identified for each stage ofthe supply chain using a literature search. Deductive logic is used to fill the gaps where literature was found to be scarce, and to derive socio-economic indicators that signal the presence of identified causes. Using this framework, we propose a non-exhaustive list of 30 socio-economic indicators, which can signal the presence of the 22 practices and 60 causes associated with food loss in supplychains. This list can serve as a starting list for practitioners and policymakers to build on when analyzing food losses in supply chains in their region. We evaluate the framework using a fieldstudy of a tomato supply chain in Nigeria, and conclude that it can be a useful tool to identify practices, causes, and indicators of food loss.

Taking a trade perspective with a focus on agrifood markets, the current foresight study employs a computable general equilibrium simulation model to quantify the implications of different future pathways of European East-West trade relations for the Commonwealth of Independent States (CIS), thereby providing insight on how best to orientate their political and trade strategies. Comparing with a baseline, two optimistic pathways explore greater market access, both within Europe (Deep integration) and globally (trade liberalisation). In contrast, an isolationist `trade bloc' pathway reflecting a deteriorating political situation between Russia and the West is also examined.In the 'baseline', Deep and Comprehensive Free Trade Agreement (DCFTA) members realise market gains, whilst intra-CIS trade diversion effects are small. The 'deep integration' scenario (liberalisation' scenario) generates significant relative benefits for DCFTA signatories' agrifood (non-agrifood) activities. In both of these trade reform narratives, the Eurasia Economic Union (EAEU) economic gains are biased in favour of Russia's energy sector resulting in greater import dependence on agrifood commodities from the EU. The isolationist trade narrative nurtures EAEU agrifood activity, although at the cost of its macroeconomic growth.