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Taking stock of agroforestry adoption studies

机译：盘算农林业收养研究

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In light of the large number of empirical studies of agroforestry adoption published during the last decade, we believe it is time to take stock and identify general determinants of agroforestry adoption. In reviewing 120 articles on adoption of agricultural and forestry technology by small holders, we find five categories of factors that explain technology adoption within an economic framework: preferences, resource endowments, market incentives, biophysical factors, and risk and uncertainty. By selecting only empirical analyses that focus on agroforestry and related investments, we narrow our list down to 32 studies primarily from tropical areas. We apply vote-counting based meta-analysis to these studies and evaluate the inclusion and significance of the five adoption factors. Our analysis shows that preferences and resource endowments are the factors most often included in studies. However, adoption behavior is most likely to be significantly influenced by risk, biophysical, and resource factors. In our conclusion, we discuss specific recommendations for the next generation of adoption studies and meta-analyses that include considering a fuller menu of variables, reporting key statistics and marginal probabilities, and conducting weighted meta-regressions.
机译：鉴于在过去十年中发表了大量关于农林业采用的实证研究，我们认为是时候进行总结并确定农林业采用的一般决定因素了。在审查有关小农户采用农业和林业技术的120篇文章时，我们发现在经济框架内解释技术采用的五类因素：偏好，资源end赋，市场激励，生物物理因素以及风险和不确定性。通过仅选择针对农林业和相关投资的实证分析，我们将清单缩小至主要来自热带地区的32项研究。我们将基于计票的荟萃分析应用于这些研究，并评估五个采用因素的纳入和意义。我们的分析表明，偏好和资源end赋是研究中最常包含的因素。但是，收养行为最有可能受到风险，生物物理和资源因素的显着影响。在我们的结论中，我们讨论了针对下一代采用研究和荟萃分析的具体建议，包括考虑更全面的变量菜单，报告关键统计数据和边际概率以及进行加权荟萃回归。

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