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调和扩散与创新模型:生产率分布与技术前沿理论

Reconciling Models of Diffusion and Innovation: A Theory of the Productivity Distribution and Technology Frontier
Econometrica · 2021 · Jess Benhabib、Jesse Perla、Christopher Tonetti

中文摘要

我们研究内生创新与技术扩散如何相互作用,以决定生产率分布的形态并产生总体增长。我们为选择创新、采用技术或使用现有技术进行生产的企业建立模型。有成本的采用导致了同时用于生产相似产品的最佳技术与最差技术之间的差距。采用与创新的平衡决定了分布的形态;创新拉伸分布,而采用压缩分布。在平衡增长路径上,总体增长率等于创新者的最大增长率。尽管创新驱动长期增长,但采用环境的变化可以通过影响创新激励来影响增长,这既可以是直接的,通过可排他技术的许可实现,也可以是间接的,通过采用的期权价值实现。

Abstract

We study how endogenous innovation and technology diffusion interact to determine the shape of the productivity distribution and generate aggregate growth. We model firms that choose to innovate, adopt technology, or produce with their existing technology. Costly adoption creates a spread between the best and worst technologies concurrently used to produce similar goods. The balance of adoption and innovation determines the shape of the distribution; innovation stretches the distribution, while adoption compresses it. On the balanced growth path, the aggregate growth rate equals the maximum growth rate of innovators. While innovation drives long‐run growth, changes in the adoption environment can influence growth by affecting innovation incentives, either directly, through licensing of excludable technologies, or indirectly, via the option value of adoption.
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