Factors Influencing Adoption of Agricultural Technologies amongst African Development Bank Community Based Agriculture and Rural Development Project Beneficiaries in Nigeria

Nura A.Y
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Abstract

The Nigerian agricultural sector is characterized by low level of technology adoption which in turn contributes to the low agricultural productivity in the country. This is indeed worrisome given the plethora of interventions by successive governments, multi-lateral and donor agencies working to implement several programmes aimed at promoting technology adoption among farmers. This study examines factors which influence adoption of modern agricultural production technologies among African Development Bank-Community Based Agriculture and Rural Development Programme (AfDB-CBARDP) beneficiaries in Nigeria. To achieve this objectives, Multi stage sampling technique was employed where a total of 1020 farmers/Project beneficiaries across the 5 Project Implementing Units were selected. The data was estimated using the logit regression. The use of the logit model for this analysis is consistent with the literature on adoption (see for instance Griliches, 1957). Result of the maximum likelihood estimates of the Logit regression model has indicated that the relationship between income and improved technology adoption was shown to be positive and statistically significant. Farming experience was also positively related to adoption of the improved technologies and statistically significant at 1% level. The study also reveals that adoption of improved farming technologies increases with credit availability. Farm size on the other hand was negatively related to adoption of fertilizer technology but positively related to seed, post-harvest and livestock improvement technologies at 1% significant level. Correspondingly, the coefficients for improved seed and livestock technologies were positively related to the farmer’s age at 5% significant level. The findings of the study further revealed that profitability of the enterprise is the major reason for technology adoption by the beneficiaries and is considered very important (3.7*). Output/yield and product marketability was the second and most important reasons for technology adoption having a weighted mean scores value of 3.1* and 3.3* respectively. Likewise, among the bundles of technology disseminated under crop sub sector, varietal attributes related to early maturity was adjudged to be important motive for the adoption (2.7*). Inaccessibility of the technology or high cost of production were cited prominently as the main reasons for non-adoption of a particular technology (*Reason ≥2.5). These findings have important implication. The availability of modern agricultural production technologies to end users, and the capacities of end users to adopt and utilize these technologies should always be consider when scaling up innovation practices.
影响尼日利亚非洲开发银行社区农业和农村发展项目受益人采用农业技术的因素
尼日利亚农业部门的特点是技术采用水平低,这反过来又导致该国农业生产率低。这确实令人担忧,因为历届政府、多边机构和捐助机构都在努力实施一些旨在促进农民采用技术的项目,采取了过多的干预措施。本研究考察了影响非洲开发银行-基于社区的农业和农村发展方案(AfDB-CBARDP)在尼日利亚受益者采用现代农业生产技术的因素。为了实现这一目标,采用了多阶段抽样技术,在5个项目实施单位共选择了1020名农民/项目受益人。使用logit回归对数据进行估计。在此分析中使用logit模型与有关收养的文献是一致的(例如见Griliches, 1957)。Logit回归模型的最大似然估计结果表明,收入与改进技术采用之间的关系是正的,具有统计学意义。农业经验也与改良技术的采用呈正相关,且在1%水平上具有统计学显著性。该研究还表明,采用改良农业技术的人数随着信贷可得性的增加而增加。另一方面,农场规模与肥料技术的采用呈负相关,但与种子、收获后和牲畜改良技术呈正相关,且在1%的显著水平上。相应的,改良种子和畜牧技术的系数与农民年龄在5%的显著水平上正相关。研究结果进一步揭示了企业的盈利能力是受益者采用技术的主要原因,被认为非常重要(3.7*)。产量/产量和产品适销性是技术采用的第二个也是最重要的原因,加权平均得分分别为3.1*和3.3*。同样,在作物分部门下传播的技术束中,与早熟有关的品种属性被认为是采用的重要动机(2.7*)。技术难以获得或生产成本高是不采用某项技术的主要原因(*原因≥2.5)。这些发现具有重要意义。在扩大创新实践时,应始终考虑最终用户能否获得现代农业生产技术,以及最终用户采用和利用这些技术的能力。
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