Technical Efficiency and the Adoption of Multiple Agricultural Technologies in the Mountainous Areas of Northern Vietnam

Nicolas Lampach, Nguyen To The, Tuan Anh Nguyen
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引用次数: 19

Abstract

Abstract We examine the role of adopting environmentally-friendly agricultural technologies on the technical efficiency (TE) among maize farmers in the mountainous areas of Northern Vietnam. While technology adoption is non-randomly assigned to farmers, we draw on recent advances of machine learning models to identify farm adoption profiles of multiple agricultural technologies. Combining the stochastic production frontier with the inverse probability weights, we compare the TE between adopters and non-adopters. Although, farmers adopting new seed varieties achieve significantly higher TE than others, dissemination of integrated pest management practices by extension agents affect negatively farm performance. Results show that there is a positive relationship between actions to reduce the vulnerability of landscapes to soil erosion and corn productivity. We find heterogeneous effects of adopting multiple environmentally friendly technologies on TE. Farmers who are a member of cooperative and employ organic fertilizer are associated with higher odds to adopt new seed varieties. Maize cultivation in sloping land and farmers with large landholdings tend to be the key drivers in the provision of farm advisory services and the exertion of soil erosion control techniques. Sensitivity analysis suggests that the empirical findings are largely robust against the hidden hazard of unmeasured confounders.
越南北部山区的技术效率与多种农业技术的采用
摘要:我们研究了采用环境友好型农业技术对越南北部山区玉米农民技术效率(TE)的作用。虽然技术采用是非随机分配给农民的,但我们利用机器学习模型的最新进展来确定多种农业技术的农场采用概况。结合随机生产前沿和逆概率权重,我们比较了采用者和非采用者之间的TE。尽管采用新种子品种的农民取得了显著高于其他农民的TE,但通过推广机构传播病虫害综合治理做法对农场绩效产生了负面影响。结果表明,降低景观对土壤侵蚀的脆弱性与玉米产量之间存在正相关关系。我们发现采用多种环境友好技术对TE的影响是异质性的。作为合作社成员并使用有机肥的农民采用新种子品种的几率更高。坡地的玉米种植和拥有大片土地的农民往往是提供农场咨询服务和运用土壤侵蚀控制技术的关键驱动因素。敏感性分析表明,对于未测量混杂因素的隐患,实证研究结果在很大程度上是稳健的。
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