Modeling Multiple Adoption Decisions in a Joint Framework
用多元概率比模型分析美国苹果种植户对多种可持续生产技术的采纳决策，发现非农劳动供给是影响采纳的最显著因素。
Abstract A multinomial probit (MNP) model is applied to the modeling of adoption decisions by farmers facing multiple technologies which can be adopted in various combinations. This model allows for full investigation of the interactions between decisions to adopt or not adopt several technologies. Estimation is carried out in a Bayesian framework employing Gibbs sampling to circumvent past difficulties encountered in maximum likelihood estimation of the MNP model. The model is estimated for a sample of U.S. apple growers with four possible sustainable production technology bundles. The results show that adoption decisions are most significantly influenced by off‐farm labor supply.