Factors affecting the bundled adoption of irrigation and nutrient best management practices for improving water quality and quantity in Florida

Moonwon Soh, Tara Wade, Kelly Grogan, Lauriane S. Yehouenou
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Abstract

This study focuses on clustering irrigation and nutrient best management practices (BMPs) that help to improve water quality and quantity using a multiple indicator multiple causation model. Data from a survey of Florida growers' irrigation and nutrient practices are used to identify bundles that growers adopt using a cluster analysis. Identified bundles are regressed on grower and farm characteristics. Growers with a college degree or more, income greater than $100,000, greater farm experience, larger operations, organic production, and who produce multiple crops are more likely to adopt the specified practice bundles. Our results can help increase participation in BMPs adoption programs.

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影响佛罗里达州为改善水质和水量而捆绑采用灌溉和营养最佳管理实践的因素
本研究采用多指标多因果模型对灌溉和养分最佳管理实践(BMPs)在改善水质和水量方面的作用进行了研究。来自佛罗里达州种植者灌溉和营养实践调查的数据被用来识别种植者采用聚类分析束。确定的束是回归的种植者和农场的特点。拥有大学或以上学历、收入超过10万美元、有丰富的农场经验、规模较大的经营、有机生产以及生产多种作物的种植者更有可能采用指定的实践包。我们的研究结果可以帮助提高bmp采用项目的参与度。
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