A Dynamic Stochastic Programming Framework for Modeling Large Scale Land Deals in Developing Countries
The attractiveness of agricultural land available in developing countries has markedly increased in the last few years. Driven by rising and highly volatile prices for agricul- tural commodities, large land acquisitions have been undertaken by foreign investors. We formalize the discussion surrounding such large scale land deals through a dynamic stochastic programming model. Within this framework, we first determine the value of a land development project under uncertainty about prices for agricultural commodi- ties, political risk and irreversible capital investment.