与阿拉伯半干旱环境下农民农业系统的决定及其与季节性降雨变化的关系,阿拉伯地区的情况

Mohamed Asaad - Asma Basir
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引用次数: 0

摘要

本研究旨在调查农民在农业系统中的决策及其与摩洛哥半干旱环境中季节性降雨变化的关系,以Abda地区为例。该研究试图回答以下问题:在摩洛哥的半干旱环境中,季节性降雨变化如何影响农业系统中农民的决策?研究目标是实现以下目标:第一:描述摩洛哥半干旱环境下农民在农业系统中的决策,同一地区的情况;第二:解释农民在农业系统中决策的关系,代表同一地区的季节性降雨变化的情况。为了回答这个有问题的问题,我们采用了以下统计假设:通过表示摩洛哥半干旱环境中的季节性降雨变化,农业系统中的农民决策在统计上没有显著差异(H0),这是同一地区的情况。本研究基于两种数据收集方法:一种是文献和档案,另一种是基于样本和问卷的地形观察,其中包括对2016年465名农民的真实样本中的238名农民进行询问。本研究还采用了描述性统计和指示性统计相结合的数据处理方法。此外,它还采用了«IMRAD»方法,它具有以下四个科学品质:引言(I),方法论(M),结果(R)和讨论(D)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Farmers’ decisions in agricultural systems in relation to seasonal rainfall variability, in semi-arid environments in Morocco, the case of the region of Abda: قرارات الفلاحين في الأنظمة الزراعية وعلاقتها بالتغيرية المطرية الفصلية في البيئات شبه الجافة بالمغرب، حالة منطقة عبدة
This study aims at investigating farmers' decisions in agricultural systems and their relation to seasonal rain change in the semi-dry environments in Morocco, the case of Abda region. The research attempts to answer the following problematic question: How does seasonal rain change affect peasant decisions in agricultural systems, in semi-dry environments in Morocco, the case of the same region? The research target is to achieve the following objectives: First: Description of the farmers' decisions in agricultural systems in the semi-dry environments in Morocco, the case of the same region, second: the interpretation of the relationship of the farmers' decisions in agricultural systems represent the seasonal rain change the case of the same region. To answer the problematic question, we have adopted the following statistical hypothesis: There is no statistically significant differences (H0) in peasant decisions in agricultural systems by representing the seasonal rain change in semi-dry environments in Morocco, the case of the same region. The research was based on two methods of data collection: one on documents and archives, and the other on the observation of terrain based on the sample and the questionnaire, which included the interrogation of 238 farmers taken from a real sample of 465 farmers during the year 2016. The research also adopted a method of data processing based on descriptive and indicative statistics. In addition, it also adopted the «IMRAD» method, which has the following four scientific qualities: Introduction (I) .Methodology (M), Results (R) and Discussion (D).
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