The Response of Characteristic Planting Farmers' Behavior to Different Technology Supply Modes:A Case Study of the Demonstration Village of Kiwifruit Planting in Zhouzhi County of Shaanxi Province
基于2013年周至县猕猴桃种植农户问卷，分析了不同技术供给模式下特色种植农户的行为响应及其影响因素，发现技术采纳效率存在差异，且受信息网络、技术成本、市场环境等内外因素影响。
The research of farmers demand-driven supply mode of agricultural technology is of great theoretical and practical value for improving efficiency of technology adoption and promoting the development in rural areas. This paper analyzes the response of characteristic planting farmers' behavior to different technology supply modes and its influencing factors comprehensively, explores whether there is some inherent regularity characteristics on the basis of the questionnaire of farmers' technology adoption behavior of kiwifruit planting in Zhouzhi County in 2013. The results indicate that: 1 Different technology supply modes have a certain universality to characteristic planting farmers; 2The efficiency of technology adoption by characteristic planting farmers under different technology supply modes shows a relative differential characteristics i.e. government-oriented cooperation-oriented enterprise-oriented researchoriented; 3 Characteristic planting farmers' behavior in response to different technology supply modes is affected by internal and external factors, not only by the information network, technology costs, technology risks, technology services, social networking, market and policy environment and other external factors, but also by cultural degree, the concurrently industry degree, characteristic planting income and other internal factors; 4 In the context of different technology supply modes, there are some differences between the forces of influencing factors of characteristic planting farmers' behavior, and they show a certain regular characteristics,namely, farmers 'behavior of technology adoption is positively correlated with information network, social networking,market environment, characteristic planting income,and it is negatively correlated with the concurrently industry degree, technology risks.