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Determinants of farmers' adoption and adaptation of alley farming technology in Nigeria

机译:尼日利亚农民采用和适应胡同农业技术的决定因素

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Understanding the factors affecting framers' adoption of improvedtechnologies is critical to success of implementing agroforestry developmentprograms. This paper evaluated the determinants of farmers' decisions to adoptand adapt alley farming technology and its variants in the farming systems ofNigeria, using econometric Logit models. Eleven variables were significant inexplaining farmers' adoption decisions. The model results show that farmercharacteristics that influenced adoption included the gender of the farmer,contact with extension agents, years of experience with agroforestry and tenancystatus in the village. Economic factors, proxied by village-levelcharacteristics that condition resource use incentives, were also significant.These variables include the extent of village land pressure, extent of erosionintensity, village fuel wood pressure, importance of livestock as an economicactivity in the village and the distance of the village locations from urbancenters. The paper showed that farmers are already making significantmodifications to the conventional alley farming technology introduced byscientists. The two most important modifications were the introduction of fallowperiods into the conventional system and changes in the pruning regime of thesystem. Model results showed that human capital variables were significant inexplaining farmers' decisions to adapt and modify the technology. Farmereducation and family size significantly influence the choice of pruning regime.Farmers' age, education, intensity of erosion in the farmers' village, andfarmers' land availability significantly influence whether or not fallowperiod is introduced into the conventional system. To promote greater adoptionof agroforestry alternatives to slash-and-burn agriculture, particular attentionshould be placed on the use of appropriate socioeconomic characterization, tobetter target technologies to areas with higher adoption potential.
机译:了解影响制定者采用改良技术的因素对于成功实施农林业发展计划至关重要。本文使用计量经济学的Logit模型评估了农民在尼日利亚农业系统中采用和适应胡同农业技术及其变体的决定的决定因素。有11个变量是重要的,可以解释农民的收养决定。模型结果表明,影响农户收养的农民特征包括农民的性别,与推广人员的联系,多年农林业经验和村庄的租赁状况。制约村民使用资源激励措施的村级特征所代表的经济因素也很重要。这些变量包括村级土地压力的程度,侵蚀强度的程度,村级燃木的压力,牲畜在村里作为经济活动的重要性和距离。城市中心的村庄位置。该论文表明,农民已经对科学家引入的传统的胡同耕作技术进行了重大修改。两个最重要的修改是将休假期引入常规系统中,并对系统的修剪方式进行了更改。模型结果表明,人力资本变量对解释农民适应和修改技术的决定具有重要意义。农民的教育程度和家庭规模显着影响修剪制度的选择。农民的年龄,教育程度,农民村庄的侵蚀强度和农民的土地供应量都显着影响是否将休耕期引入传统制度。为了促进更多地采用刀耕火种农业的农林业替代方法,应特别注意使用适当的社会经济特征,以将目标技术更好地推广到采用潜力更大的地区。

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