Journal
APPLIED ECONOMICS
Volume 54, Issue 12, Pages 1366-1376Publisher
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/00036846.2021.1976384
Keywords
Spatial dependence; technology adoption; unmanned aerial vehicles; bayesian modelling; spatial probit model
Categories
Funding
- USDA National Institute of Food and Agriculture, Hatch project [1015805]
Ask authors/readers for more resources
The paper examines the impact of peer effects on farmers' decisions to adopt UAVs, finding that adoption is influenced by farmers' characteristics, awareness, attitudes, as well as the adoption behavior of neighboring peers. Peer effects arise from UAV adoption of nearby farmers and spatial spillovers of characteristics, awareness, expectations, and concerns about privacy.
This paper examines the role of peer effects on farmers' decision to adopt Unmanned Aerial Vehicles (UAVs). This relationship is analysed by means of a Bayesian spatial autoregressive probit model applied to spatially explicit data describing the awareness, attitudes, and adoption of UAVs by 809 Missouri farmers. Results show that it is not only the farmers' characteristics, awareness, and attitudes towards UAVs that affect adoption, but also the adoption behaviour and traits of neighbouring peers. Peer effects arise both from UAV adoption of nearby farmers and from spatial spillovers of farmers' characteristics, awareness of UAV agricultural applications, expectations of economic and environmental benefits from UAV use and perceived neighbour privacy concerns in the use of UAVs.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available