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ABSTRACT 7th International ICABR Conference Ravello, Italy, June 29, 30 - July 1, 2 and 3, 2003 Productivity, Public Goods and Public Policy: agricultural biotechnology Potentials THE IMPACT OF A CHANGE IN DEMAND ON THE ESTIMATION OF THE ECONOMIC BENEFITS FROM AGRICULTURAL R & D Simbo Olubobokun Department of Agricultural Economics, University of Saskatchewan, Canada. Peter W. B. Phillips Department of Agricultural Economics, University of Saskatchewan, Canada. Over the past thirty years, tremendous progress has been made in agricultural research and development (R & D). As a result, a number of studies have been conducted to measure the social returns from various agricultural research expenditures with the emphasis on the benefits resulting from changes in the supply of the improved crops. When measuring the economic benefits from scientific improvements in crops, the focus has generally been on a shift in the production function resulting in a shift in the supply curve, with an unchanged demand function. While some agricultural R & D will only give rise to a shift in the production function, some have the potential to impact the demand for the crop. If a genetically modified (GM) crop has benefits that are significant to consumers in addition to the benefits of producers, the social returns from such research expenditures should incorporate a shift in the demand curve as well as the shift in the supply curve of the crop. A shift in the demand for a crop will have an impact on the distribution of benefits from agricultural R & D, which will in turn have policy implications in research expenditures As scientist continue to conduct research into the second generation of GM products that have consumer benefits, this paper will provide insight into how to analyze the social returns from research expenditures that have an impact on the demand and supply of a crop. This paper will investigate the demand for canola seed in a partial equilibrium setting in an attempt to verify whether the health benefits of canola oil has changed the demand for canola seed. The model will then be used to evaluate the demand for canola seeds at different points when specific traits were introduced. This paper will also consider the impact of a change in demand under different policy options such as export subsidies and tariffs.