James F. Evans Collection, cited reference, Although computer technologies have evolved rapidly, farmers have been slow to adopt these technologies. This research identifies factors influencing farmers' adoption of computers and the number and type of applications for which the computer is used. Ohio commercial farmers were randomly sampled and analyzed using multinomial logit techniques. Results suggest that older farmers are less likely to adopt computers, less likely to find them useful, and make fewer applications of the computer in their business. Education level is positively associated with computer adoption and with increased number of applications made of the computer. (author)
Pulter, Daniel S. (author), Zilberman, David (author), and Pulter: Agricultural Economist, Commodity Economics Division, Economic Research Service, U.S. Department of Agriculture; Zilberman: Professor, Department of Agricultural and Resource Economics, University of California, Berkeley
Format:
Journal article
Publication Date:
1988
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 72 Document Number: C03369
James F. Evans Collection, A multi-market model of technological change in food production is used to simulate the long-run income distributional implications of differential diffusion of currently available wheat technologies in Pakistan. The results indicate that a research agenda emphasizing technologies suited to Pakistan's favored production environments would enhance overall production without compromising inter-group equity. It is found that when commodity prices are market determined, net consuming households are the major beneficiaries of technological change. However, in the more common situation of government intervention in markets for staple foods, net producing households are the principal beneficiaries of change. (original)
AGRICOLA IND 92014245, This paper uses the diffusion of F1 hybrid rice as a case for examining the effects of education on the adoption of new technology in China. A simple behavioral model that treats the adoption of hybrid rice as a portfolio selection problem is presented. The implications of the model are tested with farm-level data collected from a sample of 500 households in Hunan Province. The results from a dichotomous profit model and a two-limit obit model are consistent with the hypothesis that education has a positive impact on the adoption of new technology. (original)
