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Abstract：
The process of adopting innovation, especially with regard to precision farming (PF), is inherently complex and social, and influenced by producers, change agents, social norms and organizational pressure. An empirical analysis was conducted among Italian farmers to measure the drivers and clarify \"bottlenecks\" in the adoption of agricultural innovation. The purpose of this study was to analyze the socio-structural and complexity factors that affect the probability to adopt innovations and the determinants that drive an individual\'s decisions. Preliminary results found high levels of adoption among younger farmers, those that had a high level of education, those with high intensity of information, with large farm sizes, and high labor intensity. A logit model was used to understand the role played by labor intensity and perceived in the adoption process. In light of the Common Agricultural Policy Reform post 2020, the findings suggest relevant policy implications, such as the need to increase awareness of PF tools and foster dissemination of information aimed at reducing the degree of perceived complexity.
摘要：
采用创新的过程，特别是在精准农业(PF)方面，本质上是复杂的和社会的，并受到生产者的影响，变革代理人，社会规范和组织压力。在意大利农民中进行了实证分析，以衡量驱动因素并阐明采用农业创新的“瓶颈”。这项研究的目的是分析影响采用创新的可能性的社会结构和复杂性因素，以及驱动个人决策的决定因素。初步结果发现，年轻农民的收养率很高，那些受过高等教育的人，那些信息强度高的人，农场规模很大，劳动强度大。使用logit模型来了解劳动强度和在采用过程中的作用。鉴于2020年后的共同农业政策改革，研究结果表明了相关的政策含义，例如，需要提高对PF工具的认识，并促进旨在降低感知复杂性程度的信息传播。
