茶农绿色防控技术采用行为影响因素实证研究

利用16个茶叶主产省2 210份茶农调查数据,借助Logit模型分析了影响茶农绿色防控技术采用行为的因素。结果表明,茶农采用绿色防控技术受个人特征、家庭特征、茶园经营特征和组织与技术服务特征4个方面的因素影响,其中组织与技术服务特征因素的影响最大。具体来看,年龄、家庭人口规模和茶园规模对茶农采用绿色防控技术有显著的负向影响;农残限量标准认知、家庭年收入、组织化程度、技术培训和技术交流对茶农采用绿色防控技术有显著的积极影响。了解农残限量标准的茶农采用绿色防控技术的概率约是不了解的2倍;家庭收入每增加1万元,技术采用发生比相对增加2%;加入合作社的茶农采用绿色防控技术的概率是未加入的1.73倍;茶农参加病虫害防治培训次数每增加1次,技术采用发生比提升为原来的150%。受教育程度、打工收入占比、农药价格敏感性等因素在本研究中对茶农绿色防控技术采用的影响不显著。由此,有关政府部门需要通过增强茶农组织化程度,加强农户病虫害防治培训,降低技术使用成本等手段促进农户绿色防控技术的采用,以便实现绿色农业。

An Empirical Study on the Impact Factors of Adoption of Green Prevention and Control Technology by Tea-growers

Survey data were collected from 2210 tea-growers from sixteen major tea producing provinces and then the Logit model was established to analyze the imfact factors of Green Prevention and Control Technology (GPCT) adoption by tea-growers. The results showed that GPCT adoption by tea-growers was affected by personality variables, family characteristics, operating characteristics of tea plantation, organizational and technical service characteristics. The most effective factor was organizational and technical service characteristics. Concretely, the farmer's age, household size, cultivated area had significantly negative effects on technology adoption. The knowledge of the pesticide residues' limitation standard (PRLS), household income, the connection with cooperation, pest control training frequency and communication with others had positive effects on technology adoption. The technology adoption rate of tea-growers who knew the PRLS was about 2 times higher than the rest. An increase of household income by ten thousand yuan could increase the technology adoption rate by 2%. Cooperative members' technology adoption rate was 1.73 times higher than non-members. Every training of farmers could promote technology adoption rate by 1.50 times. However, the farmers' educational status, non-agricultural income didn't significantly affect their choices. Therefore, the related government department should improve farmers' organization, increase training times and cut down the cost of technology adoption to promote GPCT adoption to achieve green agriculture.