Forecasting the Adoption of GM Oilseed Rape: Evidence from a Discrete Choice Experiment
AbstractThis paper explores farmers’ willingness to adopt genetically modified oilseed rape prior to its commercial release and estimates the ‘demand’ for the new technology. The analysis is based upon choice experiments with 202 German arable farmers. A multinomial probit estimation revealed that GM attributes such as gross margin, expected liability from cross pollination, or flexibility in returning to conventional oilseed rape significantly affect the likelihood of adoption. Neighbouring farmers’ attitudes towards GM cropping and a number of farmer and farm characteristics were also found to be significant determinants of prospective adoption. Demand simulations suggest that adoption rates are very sensitive to the profit difference between GM and non-GM rape varieties. A monopolistic seed price would substantially reduce demand for the new technology. A monopolistic seed supplier would reap between 45 and 80 per cent of the GM rent, and the deadweight loss of the monopoly would range between 15 and 30 per cent of that rent. The remaining rent for farmers may be too small to outweigh possible producer price discounts resulting from the costs of segregating GM and non-GM oilseed rape along the supply chain.
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Bibliographic InfoPaper provided by Agricultural Economics Society in its series 82nd Annual Conference, March 31 - April 2, 2008, Royal Agricultural College, Cirencester, UK with number 36771.
Date of creation: 31 Mar 2008
Date of revision:
adoption forecast; choice experiment; genetically modified oilseed rape; multinomial probit; technology adoption; C42; C81; Q12; Q16;
Find related papers by JEL classification:
- C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
- Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
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