Getting the message out: Information and communication technologies and agricultural extension

传播 信息和通信技术 农业推广 控制(管理) 业务 农业 人口 扩展(谓词逻辑) 乐观 主义 农业科学 营销 心理学 计算机科学 地理 医学 电信 环境卫生 万维网 社会心理学 人工智能 考古 程序设计语言 环境科学
作者
Nicoletta Giulivi,Aurélie P. Harou,Shriniwas Gautam,David Güereña
出处
期刊:American Journal of Agricultural Economics [Wiley]
卷期号:105 (3): 1011-1045 被引量:3
标识
DOI:10.1111/ajae.12348
摘要

Abstract There has been much optimism about the potential of information and communication technologies (ICTs) to provide agricultural extension services to remote households. Yet, little is known about how different communication methods fare, and, moreover, whether different segments of the population adopt information communicated via different means equally. We conduct a randomized controlled trial comparing the effectiveness of three ICTs—radio, voice response messages, and a smartphone app—with traditional extension training in communicating fertilizer management practices across four districts in rural Nepal. We find that farmers in the smartphone app and the extension training programs are on average 8.4 and 13 percentage points more likely to adopt top dressing fertilizer practices compared to control farmers, statistically significant at the 1% and 5% levels, respectively. Farmers in the smartphone app treatment achieve the highest agronomic literacy test scores, 7.8 percentage points higher than the control, statistically significant at the 1% level. In contrast, farmers receiving radio or voice response messages were not more likely to adopt the same fertilizer recommendations nor show improved specific or general agronomic knowledge relative to control farmers. Our results suggest that smartphone apps are more cost effective at inducing farmer knowledge and technology adoption than extension trainings. Heterogeneous treatment effects, however, reveal that a targeted ICT approach may be more effective in disseminating extension advice.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Mrwang完成签到,获得积分10
刚刚
qiyan应助xtt采纳,获得10
2秒前
hbnuaa发布了新的社区帖子
2秒前
CodeCraft应助JJJJJJ采纳,获得10
3秒前
4秒前
4秒前
5秒前
BDCGMAN完成签到,获得积分10
6秒前
八卦巧克力完成签到,获得积分10
7秒前
liu发布了新的文献求助30
7秒前
7秒前
8秒前
glowworm完成签到 ,获得积分10
8秒前
优秀的面包完成签到 ,获得积分10
8秒前
sss发布了新的文献求助10
9秒前
在水一方应助zzz采纳,获得10
9秒前
9秒前
初心发布了新的文献求助10
11秒前
ariaooo完成签到,获得积分10
11秒前
Adler发布了新的文献求助100
11秒前
月亮完成签到,获得积分10
11秒前
12秒前
笑啦啦完成签到,获得积分10
12秒前
zyfqpc完成签到,获得积分10
13秒前
华仔应助9527采纳,获得10
13秒前
13秒前
王佳怡完成签到 ,获得积分10
14秒前
14秒前
平常的念之完成签到,获得积分10
15秒前
秃头最可爱完成签到,获得积分10
15秒前
15秒前
爆米花应助初心采纳,获得10
15秒前
漂亮忆丹完成签到,获得积分10
16秒前
eccentric完成签到,获得积分10
16秒前
Billy应助生动紫山采纳,获得30
17秒前
19秒前
JJJJJJ发布了新的文献求助10
19秒前
彭于彦祖应助frulee采纳,获得10
19秒前
迅速谷槐发布了新的文献求助10
19秒前
ll完成签到,获得积分10
20秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Single Element Semiconductors: Properties and Devices 300
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Parallel Optimization 200
Artificial bee colony algorithm 200
Deciphering Earth's History: the Practice of Stratigraphy 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3835256
求助须知:如何正确求助?哪些是违规求助? 3377691
关于积分的说明 10500085
捐赠科研通 3097330
什么是DOI,文献DOI怎么找? 1705674
邀请新用户注册赠送积分活动 820660
科研通“疑难数据库(出版商)”最低求助积分说明 772174