Project Number: 3064-21660-003-07
Start Date: Jan 01, 2012
End Date: Sep 30, 2015
Data Collection: The project will require the collection of both primary and secondary data. Primary data will be collected on-farm directly from farmers to obtain information about agronomic, economic, financial, and management data concerning agricultural production practices, marketing and contractual relationships, and social networks. Primary data will be collected using a Farmer Adoption Survey. Farmer Adoption Survey: A survey instrument will be developed and administered to farmers in the study region concerning (i) the adoption of bioenergy oilseed crops in existing wheat-based cropping systems; (ii) willingness to harvest or produce other cellulosic feedstocks, such as red cedar; (iii) the contractual arrangements under which these enterprises might occur with processors and/or bio-refineries; (iv) price discovery to determine at what prices farmers will adopt these enterprises; (v) existing management paradigms and practices for current cropping rotations; and (vi) use and need of extension information, technical assistance, and cost-share. The survey will collect additional information on farm characteristics, farm demographics, financial demographics and farmer attitudes toward bio-energy and conservation. The primary component of the survey will be a stated conjoint experiment to assess farmers’ willingness to produce alternative bioenergy oilseed crops under different contracting relationships with a processor or biorefinery. The experimental protocols of the experiments will follow conventional formats advocated in the economics literature to minimize bias to respondents’ choices. Primary data will be supplemented with secondary data from existing databases (e.g. USDA-NASS, Kansas Farm Management Association (agmanager.info), Kansas State University Extension, Farm Service Agency, USDA-NRCS) to collect pertinent input cost, price, crop management, agricultural and conservation policy, financial, climate, soils, yield, insurance and demographic data to use for analysis and modeling purposes.