From conventional to smart: Farmers’ preferences under alternative policy scenarios

This study investigates the impact of ex-ante policy scenarios on conventional farmers' intentions to adopt smart farming applications and identifies influential factors. Through survey data collected from 117 conventional farmers, three scenarios (no support, cash support, credit support) were...

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Bibliographic Details
Published in:New Medit 2024-03, Vol.2024 (1), p.3
Main Authors: Tayyar Güldal, Hüseyin, Ozcelik, Ahmet
Format: Article
Language:English
Subjects:
Developing countries
Farmers
Surveys
Online Access:Get full text
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Summary:This study investigates the impact of ex-ante policy scenarios on conventional farmers' intentions to adopt smart farming applications and identifies influential factors. Through survey data collected from 117 conventional farmers, three scenarios (no support, cash support, credit support) were presented to determine their intention to adopt smart farming. The findings reveal that financial support significantly boosts farmers' intention to adopt these technologies. Additionally, farm income, knowledge, and inheritor positively influence adoption, while education and age hinder it. To promote the adoption of smart farming systems, we recommend providing educational programs to increase farmers' knowledge and offering financial benefits to offset the costs of purchasing and installing the systems. Our findings are relevant for developing countries, such as Türkiye, that are transitioning to smart farming and can inform policies that facilitate the adoption of smart farming systems.
ISSN:2611-1128
1594-5685
2611-1128
DOI:10.30682/nm2401a