Adoption of agricultural innovations as a two‐stage partial observability process
质疑创新采纳研究中某些统计分析的适用性，提出两阶段部分可观测模型，能灵活描述采纳过程、处理非采纳者并解决完全信息假设违背问题，并以希腊有机农业采纳为例展示其优势。
Abstract In this paper, we reconsider the appropriateness of certain statistical analyses in innovation adoption studies and suggest that partial observability models may sometimes be more useful. The proposed models allow for a flexible specification of the process of adoption from one stage to two stages, facilitate the modelling of non‐adopters and remedy the violation of the assumption of full information. An application to the adoption of organic cultivation in Greece demonstrates the relative merits of the proposed analysis.