THE INFLUENCE OF FOOD SECURITY ON SUSTAINABLE LAND MANAGEMENT TECHNOLOGIES OF FARMING HOUSEHOLDS IN KWARA STATE, NIGERIA

S. Salau
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Abstract

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.
粮食安全对尼日利亚夸拉州农户可持续土地管理技术的影响
次优土地管理做法(SLM)正在使土壤退化并破坏粮食安全。尽管如此,关于家庭对粮食安全对SLM技术影响的决定的信息很少。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。本研究采用结构化访谈表收集数据。本研究采用三阶段抽样程序。在第一阶段,从四个ADP区中随机选择两个。随后从两个选定的地区按比例选出30个村庄。最后,从选定的村庄中随机抽取10户农户,构成300户农户的样本量。结果显示,计算的MPCFE为4218.587奈拉,粮食安全家庭和粮食不安全家庭所占比例分别为37.7%和62.3%。调查结果证实,与粮食安全家庭相比,粮食不安全家庭通过更多地采用SLM技术来提高生产力和收入的机会很大。R2值为29.8%,表明解释变量解释了被解释变量30%左右的变异。农户的粮食安全状况、家庭规模、月收入和小区面积是影响农户SLM技术的主要因素。这项研究为农民和政府采取的政策和行动提供了有用的见解,以减轻非最佳使用SLM技术对改善生产和粮食安全的影响。应该大力推行有利于增加土地面积的政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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