Adoption of precision agriculture technologies by U.S. farmers.
Adoption of precision agriculture technologies by U.S. farmers.
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美国农民采用精准农业技术。
DOI：
10.1007/s11119-021-09840-9
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发表时间：
2000
影响因子：
6.2
通讯作者：
W. E. Larson
中科院分区：
文献类型：
--
作者：
S. Daberkow;W. McBride;P. Robert;R. Rust;W. E. Larson
这项荟萃分析使用跨越 23 年的文献库，量化了采用精准农业的因素的影响。与统计显着性不同的是，统计显着性表明采用是偶然的，而效应大小表明了某个因素对采用的重要性。这项荟萃分析发现，感知盈利能力、顾问和计算机的使用因素具有中等影响。然而，由于许多参考研究中存在样本量和异质性问题，研究结果不应被视为确定性的。通过对其他对采用影响可忽略不计的因素的观察，后一点得到了强化。未来的研究是否会提供有意义的政策影响取决于对与决策路径及其背景相关的因素、模型和统计处理的仔细理解和选择。
Using a literature pool spanning 23 years, this meta-analysis quantifies the effect of factors underlying the adoption of precision agriculture. Unlike statistical significance, which demonstrates how likely adoption is due to chance, effect size indicates the importance of a factor to adoption. This meta-analysis finds thatperceived profitability,consultantsanduse of a computerfactors have a moderate effect. However, the findings should not be regarded as definitive because of issues of sample size and heterogeneity embedded in a number of the reference studies. This latter point is re-enforced by observation of other factors that had a negligible effect on adoption. Whether future studies will provide meaningful policy implications depend on a careful understanding and selection of factors, models, and statistical treatment in relation to decision-making paths and their context.