尼日利亚三角洲州农村小规模可耕地作物种植的性别分析

P. I. Nwandu
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引用次数: 0

摘要

本研究以奈及利亚三角洲州Oshimili南部地方政府区农村小规模可耕地作物种植的性别分析为研究对象。采用多阶段随机抽样技术,选取150名调查对象进行研究。通过使用结构化问卷收集数据,并使用描述性和推断性统计工具进行分析。结果显示,在按性别划分的受访者年龄分布中,约70%的男性受访者和60%的女性受访者年龄在35岁以下,55岁以上的受访者分别只有2.67%和4.00%。80%的男性和76%的女性已婚,92%的男性受过正规教育,而女性的这一比例为86.7%。此外,50.66%的男性农民有7人及以上的大家庭,50.67%的女性农民有7人及以上的大家庭。大约16%的男性农民从银行获得贷款,而女性则为6.7%。男性农民在山药生产中占主导地位,占84%以上,而女性群体只有20%的女性参与。女性从事木薯生产(60%),而男性从事木薯生产(33.3%)。对小农性别生产力决定因素的计量分析表明,农场规模和年龄的系数在男性5%和女性1%的水平上为负且显著。资本投入、种植材料、劳动力和教育的系数如预期的那样是正的,并且在男性农民的5%水平和女性农民的1%水平上显著。80%的农户认为,信贷不足是制约小规模耕地种植的最重要因素。主要制约因素还包括推广服务不足(70%)。建议推广人员在接触和培训中应使更多农村小规模可耕种作物的女农民更加敏感并参与其中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GENDER ANALYSIS OF RURAL SMALL-SCALE ARABLE CROP FARMING IN DELTA STATE, NIGERIA
The study was conducted on Gender analysis of rural small- scale arable crop farming in Oshimili South Local Government Area of Delta State, Nigeria. Multi-stage random sampling techniques was used to select 150 respondents for the study. Data was collected through the use of structured questionnaire and analyzed using both descriptive and inferential statistical tools. Results showed that in age distribution of respondents according to gender, about 70% of the male respondents and 60% of the female were less than 35 years of age with only 2.67% and 4.00% respectively being above 55 years. 80% of male and 76% of female were married while 92% of male had formal education as compared to 86.7% for female. Also, 50.66% of male farmers had large families of seven and above while 50.67% of their female counterpart had family size of seven and above. About 16% of the male farmers accessed loan from banks as against 6.7% of the female folks. Male farmers dominated in yam production with over 84% as against the female group that had only 20% of the females involved. Females were into cassava production (60%) as against their male counterpart with 33.3%. The econometric analysis for determinants of gender productivity among small holder farmers showed that coefficients for farm size and age were negative and significant at 5% level for the male and 1% for the female. The coefficients for capital inputs, planting materials, labour and education were positive as expected and significant at 5% level for the male farmers and 1% level for the female farmers. Inadequate credit was the most important constraints to small- scale arable crop farming with 80%. Major constraints also include inadequate extension services (70%). It was recommended that extension agents should sensitize and involve more rural small-scale arable crop female farmers in their contact and training.
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