农民社会资本、资金来源、信息及其对肯尼亚农村高地玉米产量的影响

J. Cheruiyot, Festus Kipkorir Nge’tich
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摘要

玉米(Zea mays L.)在肯尼亚是一种重要的生计、营养、经济和政治作物。其生产力增长估计为每年2%,平均产量为2吨/公顷,潜在产量为6吨/公顷。年产量落后于需求。本研究在肯尼亚南迪县一个典型的农村地区进行,旨在调查小农的社会资本、资金来源、信息及其对玉米产量的影响。事后收集的502名农民的数据,通过使用描述性和推断性统计进行了分析。Brown-Forsythe方差分析显示组间差异极显著;基于社会资本(F* (2,499) = 23.826, P = .000),基于农场经营的主要资金来源(F* (4,60.649) = 8.519, P = .000)和主要技术信息来源(F (3,498) = 38.738, P = .000)。game - howell事后测试显示,与社会群体成员相比,“无群体”类别的收益明显较低(P = 0.000)。与“非农业贸易”和“非农业就业工资”类别相比,主要通过“农产品销售”为农场经营提供资金的农民的产量明显较低(P = 0.001和0.000)。与依赖推广(P = .000)和“数字资源”(P = .016)的农民相比,主要依赖“大众媒体”获取信息的农民类别的产量显著降低(P = .000)。与“仅扩展”相比,“扩展和数字源”类别的混合显示出明显更高的平均值(P = .000)。总之,农民组织和相关的社会资本、农场经营资金以及保证质量的信息来源对玉米生产力和粮食安全具有积极影响。本研究对农民组织、季节性信贷和推广信息传递的从业者和决策者具有一定的参考价值
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Farmers’ Social capital, Sources of Finances, Information and their implications on Maize Yields in a Rural Highland, Kenya
Maize (Zea mays L.) is a crop of livelihood, nutritional, economic, and political importance in Kenya. Its productivity growth is estimated at 2% annually, with average yields of 2 tons/ha against a potential 6 tons/ha. Annual production lags behind demand. This study was conducted in a typically rural location of Nandi County in Kenya to investigate smallholder farmers’ social capital, sources of finances, information, and their implications on maize yields. Data from 502 farmers, collected ex post facto, was analysed by use of descriptive and inferential statistics. Brown-Forsythe ANOVA showed highly significant differences between groups; based on social capital as measured by their membership to social common-interest groups (F* (2,499) = 23.826, P = .000), based on main sources of finances for farm operations (F* (4, 60.649) = 8.519, P = .000) and main sources of technical information (F (3,498) = 38.738, P = .000). A Games-Howell post hoc test showed that the ‘no group’ category had significantly lower yields compared to members of social groups (P = .000). Farmers who mainly financed farm operations through ‘sale of farm produce’ had significantly lower yields compared to ‘non-farm trade’ and ‘salaries from off-farm employment’ categories (P = .001 and .000). The farmer category that relied mainly on ‘mass media’ for information had significantly lower yields (P = .000) compared to those who relied on Extension (P = .000) and ‘digital sources’ (P = .016). The mix of ‘extension and digital sources’ category showed a significantly higher mean compared to ‘Extension only’ (P = .000). In conclusion, farmer organizations and the associated social capital, funding of farm operations and information sources that guarantee quality have a positive impact on maize productivity and food security. This study is of value for practitioners and policy-makers on farmer organizations, seasonal credits, and extension information delivery
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