Integrating Technology Traits and Producer Heterogeneity: A Mixed‐Multinomial Model of Genetically Modified Corn Adoption
提出一个技术采纳模型，结合新技术特性的需求与农场及农户特征的异质性，使用混合多项Logit模型分析明尼苏达和威斯康星农民对转基因玉米的采纳数据，估计农户对技术特性的影子价格。
Abstract This article proposes a model of technology adoption that integrates demand for individual traits of new technologies with the potential for heterogeneity based on farm and farmer characteristics. The model is applied to recent genetically modified corn adoption data from Minnesota and Wisconsin farmers, using a mixed‐multinomial logit (MMNL) model to estimate the effects of traits and farm and farmer characteristics on adoption outcomes. This approach allows explicit recovery of estimates of farmers’ shadow prices for individual technology traits. Results show the importance of producer and regional heterogeneity in preferences for seed traits.