OPTIMAL IDENTIFICATION AND COMPOSITION OF INVESTMENT PROJECTS IN AGRICULTURE

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OPTIMAL IDENTIFICATION AND COMPOSITION OF INVESTMENT PROJECTS IN AGRICULTURE

The aim of the presentation is to discuss the agricultural application of a method that helps to identify and prepare investment projects. The general project cycle concentrates on project selection. In the case of Russian agriculture most of the projects are usually rejected. Hence project identification and preparation processes need to be improved.
To describe the problem of project composition, a formalism is suggested based on the following problem statement: given a) the quantities of resources required for each goal; b) opportunities to share resources between goals and to upgrade with superior resources; c) effects of goals and costs of resources; d) available financing; e) incompatible goals, find the set of goals that maximises the project's worth. The problem is an integer-programming problem.
A well-known ARIS project implemented in Russia is used for illustrative purpose. The project is spread over 5 territories and consists of 4 base components: marketing, consulting, seed processing, training, plus one supplementary component: development of informational infrastructure. Some components allow alternative implementation. The components demonstrate synergism due to joint use of different resources. The sample description of the project was processed with the PC. Different funding opportunities are considered. Even under complete financing, the best project worth is achieved if one rejects training, consulting and informational components in the South Urals, and seed processing plants in Northwest and Siberia. The approach contributes to a project's worth and hence is able to considerably expand investment project opportunities in agriculture.