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It takes two: Experimental evidence on the determinants of technology diffusion
Journal of Development Economics ( IF 4.277 ) Pub Date : 2021-01-08 , DOI: 10.1016/j.jdeveco.2020.102600
Morgan Hardy , Jamie McCasland

This paper reports on an experiment that brings insights from the literature on demand-side determinants of technology adoption to the study of peer-to-peer diffusion. We develop a custom weaving technique and randomly seed training into a real network of garment making firm owners in Ghana. Training leads to limited adoption among trainees, but little to no diffusion to non-trainees. In a second phase, we cross-randomize demand for the technique. Demand shocks increase adoption of the technology in both groups and diffusion to untrained firms, generated by a pattern in which trained firm owners teach approximately 400% more of their peers if they are randomly assigned to the demand intervention. We find no evidence that our main effects are driven by differences in ability (learning-by-doing) or other adoption-based mechanisms. Rather, our findings are most consistent with the demand intervention generating differential willingness to diffuse among potential teachers.



中文翻译:

它需要两个:关于技术扩散决定因素的实验证据

本文报告了一项实验,该实验将有关技术采用的需求方决定因素的文献的见解带入了对等传播的研究。我们开发了一种定制的编织技术,并将培训种子随机化为加纳一家服装生产企业所有者的真实网络。培训导致受训人员的采用有限,但很少或没有扩散到非受训人员。在第二阶段,我们将对该技术的需求进行交叉随机化。需求冲击增加了这两种技术在两组中的采用,并扩散到了未经培训的公司,这种模式是由受过培训的公司所有者将随机分配给需求干预的同行教育大约400%的同行所产生的。我们没有证据表明我们的主要影响是由能力差异(边做边学)或其他基于采用的机制所驱动的。而是

更新日期:2021-01-08
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