应用安全优先法衡量伊拉克2019季复垦小麦农户风险行为(以Wasit省为应用模型)

Q4 Agricultural and Biological Sciences
Z. H. Mahmood, Saad A. Nasir, Maida H. Ali
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引用次数: 0

摘要

本研究旨在探讨安全第一方法在未开垦土地小麦农户风险行为测量中的应用。研究使用了2019年瓦西特省105个农场的随机样本。分析分为三个阶段。第一阶段是利用稳健m加权估计器(R.M.W)的回归方法估计小麦的生产函数(Cob-Douglas),以表示小麦产量与自变量(种子、肥料、农药、机械和人力数量)之间的函数关系。第二阶段包括基于安全第一标准的农民风险行为分析。高、中、自然风险农户分别为46户、24户和33户,分别占农户总数的43.8%、24.76%和31.34%。第三阶段运用多元logistic回归模型分析农户风险行为的影响因素。结果表明:土壤正常或中等盐度、经验较长(25年以上)和拥有农用地的农民比土壤高盐度、经验较短和拥有农用地的农民承担的风险更大;因此,该研究建议对主要和次要排水网络进行维护操作,以确保低盐度水平以获得高生产力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Safety-First Approach to Measure Risk Behavior of Wheat Farmers in Reclaimed Lands in Iraq for the Season 2019 (Wasit province as an Applied Model)
This study aimed to investigate the application of safety-first approach to measure the risk behavior of wheat farmers in unreclaim land. A random sample of 105 farms in Wasit province for season 2019 were used. The analysis was divided into three stages. The first stage was to estimate the production function (Cob-Douglas) of wheat using the regression method of the Robust M-Weighted Estimator (R.M.W) to represent the functional relationship between quantity of produced wheat and the independent variables (seed, fertilizers, pesticides, number of mechanical and human).The second stage included an analysis of farmers' behavior towards risk based on safety-first standards. It was found that the number of farmers affording high, medium and natural risks were 46, 24 and 33, respectively, representing 43.8%, 24.76%, 31.34% of the total farmers, respectively. Third stage analyzed the factors affecting the farmers' behavior towards risk, using a multiple logistic regression model. The results indicated that farmers having normal or medium salinity soil, long experience (more than 25 years) and those owning their agricultural lands bear the risks more than their counterparts with high salinity soils, shorter experience and tenants of agricultural lands. Therefore, the study recommends conducting maintenance operations on the main and secondary drainage networks to ensure low salinity levels to obtain high productivity.
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来源期刊
Basrah Journal of Agricultural Sciences
Basrah Journal of Agricultural Sciences Environmental Science-Pollution
CiteScore
1.20
自引率
0.00%
发文量
35
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