Incorporating Technological Change in Diffusion Models
比较了静态和动态逻辑扩散模型的理论与实证差异，动态模型允许灵活采用上限、技术变化和放弃采用，并用美国半矮化小麦品种数据证明其拟合更好，揭示了化肥等技术变化对创新扩散路径的影响。
Abstract The theoretical and empirical implications of a static and dynamic logistic diffusion model are compared. The dynamic model relaxes some assumptions of the static model by allowing for a flexible adoption ceiling, for changes in the technology, and for disadoption. Both models were used to estimate the diffusion of semi‐dwarf wheat varieties in the United States. The dynamic model provides a better fit to the data and provides additional insights into the economic determinants of adoption. In particular, the importance of technological change in other areas (here, in fertilizer) on the diffusion path of an innovation was shown.