Econometric approaches to the valuation of a food product based on the implicit values of its individual quality attributes are a relatively recent development. Whilst such approaches have been used to explain and quantify consumer preferences at different market levels and in different countries, they offer considerable potential for storage enterprises. Armed with a knowledge of the financial significance of individual quality attribute changes over predicted storage periods, the enterprise can select a technology package which minimizes the most significant of those changes for a given commodity. A methodology for such an approach, based on a Natural Resources Institute case study in Indonesia, is described
