Wool Production's Quality Control Behavior: An Empirical Study of the Status and Determinants

International Conference on Manufacturing Technology, Materials and Chemical Engineering

机械制造;材料科学;化学工业

Wang, Jiyuan^1 ; Xiao, Haifeng^1

School of Economics and Management, China Agriculture University, Beijing, China^1

关键词: Binary logistic regression models;    Empirical studies;    Key technologies;    Level of educations;    Mechanical shearing;    Risk preference;    Sales prices;    Sheep farmers;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/392/6/062171/pdf
DOI  :  10.1088/1757-899X/392/6/062171

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Based on the survey data of sheep farmers in 4 provinces in the west of China, using the binary logistic regression model, we analyzed the adoption of key technologies for wool quality control, such as "sheep clothing" technology, mechanical shearing technology, and wool grading technology. Statistics suggest that 54% of the farmers used the "sheep clothing" technology, 34% of the farmers used the mechanical shearing technology, while 56% of the farmers used the wool grading technology. The number of training and the expected sales price of wool significantly promoted the adoption of these three key technologies by farmers. However, risk preference negatively affects the adoption of three technologies. The total family income, farming scale, level of wool yield and breeding loans are positive to "sheep clothing" technology and mechanical shearing technology. The level of education and farming experience positively affects the "sheep clothing" technology, while culture of regional environmental negative to it.