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The influence of food security on sustainable land management technologies of farming households in Kwara State, Nigeria

机译:尼日利亚克瓦拉州农户可持续土地管理技术对粮食安全的影响

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Suboptimal land management practices (SLM) are degrading soils and undermining food security. Despite this, there is scant information regarding households’ decision towards the effect of food security on SLM technologies. This paper, therefore, measured food security status and assessed the effect of food security on SLM technologies. Structured interview schedule was used to gather data for this study. A three-stage sampling procedure was employed for this study. Two out of the four ADP zones were randomly selected in the first stage. This was followed by a proportionate selection of 30 villages from the two selected zones. Lastly, ten farming households each, were picked randomly from the chosen villages to make up a sample size of 300 farming households. The result revealed that the calculated MPCFE was ?4218.587 and the proportion of food secure and food insecure households are 37.7% and 62.3% respectively. The findings affirmed that much opportunities exist for increasing productivity and income through increased adoption of SLM technologies among the food insecure households when compared with their food secure counterparts. The R2 value of 29.8% suggests that the explanatory variables explained about 30% of the variation in the explained variable. Furthermore, the factors influencing SLM technologies of households are food security status, family size, monthly income and plot size. This study provides useful insight into policies and actions taken by farmers and government to mitigate the effects of suboptimal use of SLM technologies for improved production and food security. Policies favoring increased plot size should be vigorously pursued.
机译:次优土地管理实践(SLM)正在降解土壤和破坏粮食安全。尽管如此,有关于家庭对粮食安全对SLM技术影响的决定的令人兴趣的信息。因此,本文测量了粮食安全状况,并评估了粮食安全对SLM技术的影响。结构化访谈计划用于收集本研究的数据。本研究采用了三级抽样程序。在第一阶段随机选择四个ADP区域中的两个。随后是两个选定区的30个村庄的比例。最后,每个农户都有十家,被选定的村庄随机挑选,弥补了300家农户的样本量。结果表明,计算的MPCFE是?4218.587,食物安全和食品不安全家庭的比例分别为37.7%和62.3%。调查结果肯定了通过增加食物不安全的家庭在食物安全对应物相比,增加了很多机会,以提高生产力和收入。 R2值为29.8%表明解释变量在解释的变量中解释了约30%的变化。此外,影响家庭SLM技术的因素是粮食安全状况,家庭规模,月收入和情节尺寸。本研究提供了对农民和政府采取的政策和行动的有用洞察,以减轻SLM技术的次优,以改善生产和粮食安全的影响。应大力追求有利于增加情节规模的政策。

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