Quantitative methods for analysis of factors influencing farmers' adoption of technology
1994
Ari Wibunphong (Chiang Mai Univ., Chiang Mai (Thailand). Faculty of Agriculture. Dept. of Agricultural Economics)
Study on factors influencing the adoption of farm innovation aims at understanding of farmers' socio-economic characteristics, which affect farmers adoption. The knowledge obtained from such study could play a vital role in the agricultural extension and development. The explanatory quantitative variables taken together as key determinants of farmers'adoption are: Knowledge (KNL); Personal contact (PSC); Labor (LBR); Land holding size (LHD); Livestock (LVS measured in score, frequency, man-day, and number respectively. Whereas dummy variable (if yes=1; otherwise=0) is used for measuring the Decision pattern (DPT) to adopt when leader adopted; Adopt when feel insecured of land tenure (ILT) and Incremental yield (INY). Among the several alternative methods, models and variables attempted, the technique for models (iii), (iv) and (vi) are considered appropriate as the tests indicated that the specified models explain correctly. But the LS method for the (v) is not acceptable theoretically as the predicted value goes beyond 0 and 1 and moreover, accuracy of prediction is only 77 percent as compare to 90 percent obtained from the last method (likelihood estimation). Nevertheless, the choice of the model depends on the information available for the dependent variable and its implication.
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