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Michael Obersteiner

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4 records found

Journal article (2026) - Jasper Verschuur, Anna Murgatroyd, Yiorgos Vittis, Aline Mosnier, Michael Obersteiner, Charles J. Godfray, Jim W. Hall
The convergence of recent extreme-weather events and international conflicts has heightened concerns about the vulnerability of the global food system to shocks. Yet, it remains unclear what shocks most affect a country’s food supply, and what role trade and other food system characteristics play in mitigating or amplifying negative impacts. Here, using a newly developed global bilateral trade model representing 177 countries and four major staple crops (maize, wheat, rice, soybean), we simulate the food supply, trade and price impacts resulting from climate-related yield variability, and shocks motivated by (i) the Ukraine war, (ii) the recent energy price shock, (iii) observed trade bans, as well as (iv) a compound shock (i-iii together). The energy price shock has the greatest effect of the first three shocks, and dominates the effect of the compound shock across most regions and crops. We find that in many instances trade adjustments can help cope with both supply and price shocks, but that this is shaped by a combination of factors that characterize a country’s coping capacity. If the compound shock occurs at a time of poor global weather for agriculture, the total drop in consumer surplus that year can be over USD 600 billion and affect most countries simultaneously. The modelling approach developed here can be a useful tool to identify vulnerabilities in food systems and to develop targeted strategies to enhance resilience, such as strategic stockpiling, schemes to support domestic production or new trade agreements. ...
Journal article (2025) - Jasper Verschuur, Yiorgos Vittis, Michael Obersteiner, Jim W. Hall
Despite the growing accessibility of international grain and oilseed markets, high production costs and trade frictions are still prevalent, contributing to regional heterogeneities in the landed cost of grain imports. Here we quantify the landed cost for six grain commodities across 3,500 administrative regions, capturing regional cost differences to produce grain and transport it across international borders. We find large heterogeneities in the costs of imported grain, which are highest in Oceania, Central America and landlocked Africa. While some regions have uniform landed costs across sourcing locations, others face cost variations across trading partners, showing large inequalities in access. We find that most regions could benefit from a targeted approach to reduce landed cost while others benefit from a mixed strategies approach. Our results highlight that spatial information on production, trade and transport is essential to inform policies aiming to build an efficient and resilient global agricultural commodity trade system. ...
Journal article (2022) - Enayat A. Moallemi, Sibel Eker, Lei Gao, Michalis Hadjikakou, Qi Liu, Jan Kwakkel, Patrick M. Reed, Michael Obersteiner, Zhaoxia Guo, Brett A. Bryan
Progress to date toward the Sustainable Development Goals (SDGs) has fallen short of expectations and is unlikely to fully meet 2030 targets. Past assessments have mostly focused on short- and medium-term evaluations, thus limiting the ability to explore the longer-term effects of systemic interactions with time lags and delay. Here we undertake global systems modeling with a longer-term view than previous assessments in order to explore the drivers of sustainability progress and how they could play out by 2030, 2050, and 2100 under different development pathways and quantitative targets. We find that early planning for systems change to shift from business as usual to more sustainable pathways is important for accelerating progress toward increasingly ambitious targets by 2030, 2050, and 2100. These findings indicate the importance of adopting longer-term timeframes and pathways to ensure that the necessary pre-conditions are in place for sustainability beyond the current 2030 Agenda. ...

Estimating Location-Specific Premiums in the Netherlands

Journal article (2017) - T. Ermolieva, T. Filatova, Y. Ermoliev, M. Obersteiner, K. M. de Bruijn, A. Jeuken
As flood risks grow worldwide, a well-designed insurance program engaging various stakeholders becomes a vital instrument in flood risk management. The main challenge concerns the applicability of standard approaches for calculating insurance premiums of rare catastrophic losses. This article focuses on the design of a flood-loss-sharing program involving private insurance based on location-specific exposures. The analysis is guided by a developed integrated catastrophe risk management (ICRM) model consisting of a GIS-based flood model and a stochastic optimization procedure with respect to location-specific risk exposures. To achieve the stability and robustness of the program towards floods with various recurrences, the ICRM uses stochastic optimization procedure, which relies on quantile-related risk functions of a systemic insolvency involving overpayments and underpayments of the stakeholders. Two alternative ways of calculating insurance premiums are compared: the robust derived with the ICRM and the traditional average annual loss approach. The applicability of the proposed model is illustrated in a case study of a Rotterdam area outside the main flood protection system in the Netherlands. Our numerical experiments demonstrate essential advantages of the robust premiums, namely, that they: (1) guarantee the program's solvency under all relevant flood scenarios rather than one average event; (2) establish a tradeoff between the security of the program and the welfare of locations; and (3) decrease the need for other risk transfer and risk reduction measures. ...