Based on data mainly from the International Comparison Program for 156 countries, we conduct a global cross-sectional estimation of an extended rank-3 MAIDADS demand system for nineteen commodity groups including agri-food detail for integration in a Computable General Equilibrium model. We...

Legumes, which currently show low production levels in the European Union, can reduce negative environmental externalities of agricultural systems by lowering nitrogen (N) fertilization and increasing protein self-sufficiency. This has led to the introduction of coupled support in France, in...

Risk and risk preferences belong to the key determinants of investment-based technology adoption in agriculture. We develop and apply a novel approach in which an inverse second order stochastic dominance approach is integrated into a stochastic dynamic farm-level model to quantify the effect of...

Mathematical programming (MP) is a widespread approach to depict production and investment decisions of agents in agent-based models (ABM) related to agriculture. However, introducing dynamics and indivisibilities in MP models renders their solution computing time intensive. We present a...

Recent literature reviews of empirical models optimizing long-term investments in agriculture see gaps with regard to (i) separating investment and financing decisions, (ii) considering explicitly risk and temporal flexibility, and (iii) accounting for farm-level resource endowments and other...

In times of heightened uncertainty surrounding US trade policy, it is increasingly vital to secure a development-friendly approach toward African countries. They are among the most vulnerable to climate change, conflicts and pandemics, yet are also gaining geo-economic significance. Given the...