Farmer preferences for adopting precision farming technologies: a case study from Italy
通过选择实验研究意大利农民对精准农业技术的采用意愿，发现同行采用者的知识会提升农民对技术特性的估值，凸显社交网络的重要性。
Abstract Precision farming (PF) technologies can help to mitigate the environmental impact of agriculture by reducing fertiliser use and irrigation while saving cost for the farmer. However, these technologies are not widely adopted in Europe. We study farmers’ willingness to adopt PF technologies based on a choice experiment. Among other determinants, we explore the role of social influence for the valuation of PF technology features. The data are analysed using mixed and latent class logit models. Our results show that knowledge of fellow farmers who adopted the technology positively influences the valuation of PF technology features, stressing the importance of networks.