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Adoption of soil and water conservation technology and its effect on the productivity of smallholder rice farmers in Southwest Nigeria

机译：采用水土保持技术及其对尼日利亚西南小鸡生产力的影响

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This study estimated the effect of the adoption of soil and water conservation (SWC) on the productivity of 360 smallholder rice farmers in Southwest Nigeria. An endogenous switching regression model (ESRM) was employed to estimate the productivities of adopter and non-adopters of SWC. A doubly robust inverse-probability-weighted regression adjustment (IPWRA) was used as a credible remedy for potentially biased estimates of average treatment on the treated (ATT) and potential outcome mean (POM) of the endogenous treatment model. Significant variables, such as farmers’ locations, gender, marital status, annual temperature, annual precipitation, log of fertiliser and membership in farm-based organisation (FBO), were factors influencing the adoption of SWC among smallholder rice farmers. Factors such as age, marital status, rice experience, farm size, formal education, access to extension and labour in man-days significantly influenced the rice productivity of smallholder farmers who adopted SWC technology, while location, marital status, rice experience, farm size, formal education, access to extension and labour in man-days were the determinants of rice productivity among smallholder farmers who did not adopt SWC technology. The result from the inverse-probability-weighted regression adjustment estimation indicates that the adoption of SWC technology to mitigate the adverse effects of climate change improves the productivity of rice in the study area. To ensure effective dissemination and the adoption of new conservation technologies, government and stakeholders in rice production could take the lead in promotion and dissemination in the initial stages and, in the process, create an enabling environment for the effective participation of other stakeholders in rice production.
机译：本研究估计了土壤和水资源保护（SWC）采用了对尼日利亚西南360名小米农民生产力的影响。使用内源性切换回归模型（ESRM）来估算SWC的采用者和非采用剂的产品。双重稳健的逆概率加权回归调整（IPWRA）被用作可信地区的潜在偏见对内源性治疗模型的治疗（ATT）和潜在结果（POM）的平均治疗估计。农民地点，性别，婚姻状况，年度温度，年度降水，肥料，肥料的数量，年降水量，肥料的数量和成员的重大变量是影响小农稻农民采用SWC的因素。年龄，婚姻状况，稻米经验，农场规模，正规教育，延长和劳动等因素，在人日中显着影响了采用SWC技术的小农农民的大米生产力，而位置，婚姻状况，大米经验，农场规模，正规教育，进入人日内的延期和劳动是没有采用SWC技术的小农农民水稻生产力的决定因素。来自逆概率加权回归调整估计的结果表明，采用SWC技术减轻气候变化的不利影响，提高了研究区中水稻的生产率。为确保有效的传播和采用新的保护技术，水稻生产中的政府和利益攸关方可以在初始阶段促进和传播领先，并在此过程中创造有利的环境，以便有效参与其他利益攸关方在水稻生产中的参与。

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