埃塞俄比亚西戈贾姆区塞克拉区小麦生产小农户推荐农艺措施采用的决定因素

Gedefaw Abebe, Sisay Debebe
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引用次数: 4

摘要

埃塞俄比亚经济的发展与农业部门的转型直接相关,表现为推荐的农艺措施利用率低、农业投入改善以及对传统农业和降雨的依赖。因此,在过去几年中,农业的低产量和低生产力普遍存在。本研究旨在确定影响小麦种植推荐农艺措施采用的因素。采用两阶段抽样法对204名小农户进行了调查。使用了简单的描述性统计和计量经济学模型,如多元probit模型。该模型的结果表明,正规教育水平、家庭规模、农场规模、与投入市场的距离、化肥的使用和信贷的使用对收养决定有负面和统计显著的影响,而非农收入、社交媒体的使用、耕地规模,和对风险的态度对小麦生产农民采取农艺措施的决策有积极的统计显著影响。此外,早期种植对与投入市场的距离、农场规模和化肥的使用都有负面影响。该研究建议,政府和其他相关机构应发展投入供应机制、信贷、土地、通过媒体提高认识。关键词:农学实践的采用、多元概率模型和埃塞俄比亚。
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Determinants of recommended agronomic practices adoption among wheat producing smallholder farmers in Sekela District of West Gojjam Zone, Ethiopia
Development of the Ethiopian economy is directly related to the transformation of the agricultural sector which is manifested with low utilization of recommended agronomic practices, improved farm inputs, and dependency on traditional farming and rainfall. As a result, low production and productivity of agriculture were prevalent over the last years. This study aims to identify the factors influencing adoption of recommended agronomic practices of wheat farming. Two-stage sampling method was applied to select 204 smallholder wheat producing farmers. Simple descriptive statistics and econometrics model such as multivariate probit model were used. The result of the model indicates that formal education level, family size, farm size, distance to the input market, use of chemical fertilizers and the use of credit have negatively and statistically significant effect on adoption decision while off-farm income, access of social media, cultivated land size, and attitude towards risk have positively and statistically significant effect on adoption decision of agronomic practices among wheat producing farmers. Moreover, early planting has a negative effect on distance to input market, farm size, and use of chemical fertilizers. The study recommended that government and other concerned body should develop the supply of inputs provision mechanism, credit, land, awareness creation through media. Key words: Adoption of agronomic practices, multivariate probit model, and Ethiopia.
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