Boehlje, Michael D. (author), Candler, Wilfred (author), Saathoff, Robert (author), and Professor of Agricultural Economics, Purdue University; Graduate Assistant, Department of Agricultural Economics, Purdue University; Graduate Assistant, Department of Agricultural Economics, Purdue University
Format:
Journal article
Publication Date:
1970-02
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 38 Document Number: B04230
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)
Putler, Daniel S. (author), Zilberman, David (author), and Putler: Agricultural economist, Commodity Economics Division, Economic Research Service, USDA; Zilberman: Professor, Department of Agricultural and Resource Economics, University of California, Berkeley, CA
Format:
Journal article
Publication Date:
1988-11
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 84 Document Number: C05377
AGRICOLA IND 89001696, Logit analysis using data from a survey of Tulare County, California, farmers is used to examine computer and application ownership patterns in agriculture. The analysis indicates that the size of the farming operation, education level, age level, and the ownership of a farm-related nonfarming business significantly influence the probability of computer ownership; however, the type of farm products used on the farm does not. The type of application software owned is influenced primarily by the type of farm products produced, the size of the farming operation, ownership of a farm-related business, and the education level of the farmer.
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
Huffman, W.E. (author / Iowa State University), Melton, B.E. (author / Iowa State University), Shogren, J.F. (author / University of Wyoming), and Fox, J.A. (author / Kansas State University)
Format:
Journal article
Publication Date:
1996-11
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 104 Document Number: C09003
Doeksen, Gerald A. (author), Nelson, J.R. (author), and Oklahoma State University, Dept. of Agricultural Economics; Oklahoma State University, Dept. of Agricultural Economics
Format:
Journal article
Publication Date:
1981
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 52 Document Number: C00645
Huffman, Wallace E. (author / Assistant Professor of Economics, Oklahoma State University) and Assistant Professor of Economics, Oklahoma State University
Format:
Journal article
Publication Date:
1974
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 49 Document Number: C00078
INTERPAKS, Study examines the contribution of education to production both as an "allocative effect" and as a "worker effect". An allocative effect is based on the decision making process and refers to an individual's ability to acquire, decode, and sort market and technical information efficiently. Worker effect reflects education's effect on technical efficiency, or the ability of the more educated worker to produce more from a given set of inputs. The study focuses on a single aspect of allocative ability - adjustment of Midwestern U.S. farmers to the changing optimum quantity of nitrogen fertilizer in corn production. The hypothesis is that rate of adjustment can be explained by economic variables: the rate is positively related to education of farmers, availability of information (extensio), and scale incentive to be informed (acres of corn) is supported by the results. It is also noted that education and extension serve as substitute sources of allocative efficiency.
Piggott, N.E. (author / University of California, Davis), Chalfant, J.A. (author / University of California, Davis), and Alston, J.M. (author / University of California, Davis)
Format:
Journal article
Publication Date:
1996-05
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 105 Document Number: C09155
Blank, Steven C. (author), Gum, Russell L. (author), and Gum: Extension Specialist and Adjunct Professor, Department of Agricultural Economics, University of Arizona; Blank: Extension Economist, Department of Agricultural Economics, University of California, Davis
Format:
Journal article
Publication Date:
1990-08
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 80 Document Number: C04633
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)
Featherstone, Allen M. (author), Schroeder, Ted C. (author), and Schroeder: Assistant professor, Department of Agricultural Economics, Kansas State University; Featherstone: Assistant professor, Department of Agricultural Economics, Kansas State University
Format:
Journal article
Publication Date:
1990-11
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 82 Document Number: C04936
Geasler, Mitchell R. (author / Vice Provost for Extension and Director of the Virginia Cooperative Extension Service, Virginia Polytechnic Institute and State University) and Vice Provost for Extension and Director of the Virginia Cooperative Extension Service, Virginia Polytechnic Institute and State University
Format:
Journal article
Publication Date:
1988-12
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 73 Document Number: C03519
Farnsworth, R.L. (author), Kogan, M. (author), Moffitt, L.J. (author), Savaleta, L.R. (author), and U.S. Department of Agriculture, Economic Research Service Farnsworth, Zavaleta; U.S. Department of Agriculture, Economic Research Service Farnsworth, Zavaleta; U.S. Department of Agriculture, Economic Research Service Farnsworth, Zavaleta; University of Illinois
Format:
Journal article
Publication Date:
1986
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 58 Document Number: C01685
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)
