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Impact of the alternate wetting and drying (AWD) water-saving irrigation technique: evidence from rice producers in the Philippines.

机译:节水型干湿交替灌溉技术的影响:菲律宾大米生产商的证据。

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This article evaluates the impacts of a controlled irrigation technique in rice production called alternate wetting and drying (AWD). Propensity score matching (PSM) and regression-based approaches applied to farm-level survey data are used to achieve the objective of the study. The PSM and regression-based approach accounts for the potential bias due to selection problems from observable variables. Results of the impact analysis using both empirical approaches indicate that AWD, particularly the "Safe AWD" variant, reduces the hours of irrigation use (by about 38%), without a statistically significant reduction in yields and profits. This reduction in irrigation time translates to corresponding savings in the amount of irrigation water and pumping energy used. However, further analysis of the impact estimates suggests that the potential magnitude of the selection bias based on unobservable variables may still be able to eliminate the measured impact from the PSM and regression-based techniques that only control for selection based on observable variables. Hence, the current impact results have to be interpreted with caution and further data collection is needed to construct a panel data that would allow one to account for selection problems due to unobservable variables and, consequently, better estimate the AWD impact.
机译:本文评估了受控灌溉技术对水稻生产的影响,这种技术称为交替湿润和干燥(AWD)。倾向得分匹配(PSM)和基于回归的方法应用于农场一级的调查数据,可用于实现研究目的。 PSM和基于回归的方法解决了由于可观察变量的选择问题引起的潜在偏差。使用两种经验方法进行的影响分析的结果表明,AWD,尤其是“ Safe AWD”变体,减少了灌溉使用时间(减少了约38%),而产量和利润没有统计学上的显着下降。灌溉时间的减少转化为相应的灌溉水和所用泵送能量的节省。但是,对影响估计的进一步分析表明,基于不可观察变量的选择偏差的潜在幅度可能仍然能够消除PSM和基于回归的技术(仅基于可观察变量控制选择)的测量影响。因此,必须谨慎地解释当前的影响结果,并且需要进一步的数据收集来构建面板数据,以允许人们解释由于无法观察到的变量而导致的选择问题,因此,可以更好地估计AWD的影响。

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