Current Projects

We currently work on two projects: Detect and Batmodel

Detect

 
Detect will provide ex-ante scenarios of land use cover and management at continental scale with sub-national detail for the next decades. To do so, the recursive-dynamic global model CGEBox will be further developed and applied.

Duration: 2022-2025

Staff members: Theresa Goebel,  Wolfgang Britz

Funding: the German Research Foundation

Detect_D.JPG
© Detect
Eine Wissenschaftlerin und ein Wissenschaftler arbeiten hinter einer Glasfassade und mischen Chemikalien mit Großgeräten.
© agpo-ilr

BatModel

The overall goal of BATModel is to improve existing trade modelling tools and approaches, equipped for the analysis of 21st century trade issues with a focus on agriculture and food to support policy analysis.

Duration: 2020-2024

Staff members: Wolfgang Britz

Publications:

Britz, W. (2022): Disaggregating Agro-Food Sectors in the GTAP Data Base, Journal for Global Economic Analysis 7(1): 44-75, Link.

Britz, W., Kuiper, M., Zawaliñska, K., Salvatici, L. (2021): Increasing model transparency, quality and coherence by deploying tested modules, selected paper presented at the 2021 EU Conference on modelling for policy support: collaborating across disciplines to tackle key policy challenges, 22-26 November 2021

Britz, W., Schäfer, D., Jansson, T. (2021): Testing as a core element of Quality Management in policy relevant simulation models, poster presented at the 2021 EU Conference on modelling for policy support: collaborating across disciplines to tackle key policy challenges, 22 – 26 November 2021

Jafari, Y., Britz, W., Guimbard, H., Beckman, J. (2021): Properly capturing tariff rate quotas for trade policy analysis in computable general equilibrium models, Economic Modelling 104(105620)

Jafari, Y., Himics, M., Britz, W., Beckman, J. (2021): It is all in the details: A bilateral approach for modelling trade agreements at the tariff line, Canadian Journal of Agricultural Economics, in: Online available 8th March 2021.

Funding: the European Unions' Horizon 2020 Research And Innovation Programme, Grant Agreement Nr. 861932


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