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无人机技术采纳对水稻种植户净收入的影响研究基于湖北省调研数据

Research on the impact of drone technology adoption on net income of rice growers: a study based on survey data from Hubei Province

  • 摘要: 在农业劳动力持续转移和生产成本不断上升的背景下,农业无人机已成为推动粮食生产方式转型的重要技术,但其增收效应及作用路径仍缺乏农户微观层面的经验证据。基于2020—2022年湖北省412户水稻种植户的三期平衡面板数据,采用双向固定效应模型和工具变量两阶段最小二乘法,实证检验无人机技术采纳对农户水稻种植净收入的影响、作用路径及群体差异。结果表明:1)在缓解潜在内生性问题后,无人机技术采纳对水稻种植净收入具有显著正向影响,可使单位面积净收入提高约0.37万元/hm2。2)无人机技术采纳可使水稻单产提高约255.95 kg/hm2,并使单位面积肥料、杀虫剂与除草剂总成本降低约0.05万元/hm2,表明提高单产和降低物料成本是其促进农户增收的两条重要作用路径。3)无人机技术采纳的增收效应存在农户异质性,在受教育年限较长、就医频次较低和非老年农户中更为明显。基于此,应进一步完善农业无人机社会化服务体系,以增产降本为导向健全作业标准和质量监管机制,并加强对受教育程度较低、就医频次较高及老年农户的技术培训与服务衔接,提升无人机技术推广的适配性和普惠性。

     

    Abstract: Against the backdrop of continued outmigration of agricultural labor and rising production costs, agricultural drones have become an important technology for transforming grain production. However, micro-level empirical evidence on their income-increasing effects and underlying pathways remains limited. Using three-wave balanced panel data for 412 rice-growing households in Hubei Province from 2020 to 2022, this study employs a two-way fixed effects model and instrumental variable two-stage least squares (Ⅳ-2SLS) estimation to examine the effects of drone technology adoption on farmers’ net income from rice cultivation, the underlying pathways, and heterogeneity across farmer groups. The results show that: 1) after mitigating potential endogeneity, drone technology adoption has a significant positive effect on net income from rice cultivation, increasing net income per unit area by approximately CNY 3,700/hm2; 2) drone technology adoption increases rice yield by approximately 255.95 kg/hm2 and reduces the total per-unit-area cost of fertilizers, insecticides, and herbicides by approximately CNY 500/hm2, indicating that higher yields and lower material costs are two important pathways through which drone technology adoption increases farmers’ income; and 3) the income-increasing effect of drone technology adoption is heterogeneous across farmers and is more pronounced among those with more years of education, lower frequencies of medical visits, and non-elderly farmers. Based on these findings, the agricultural drone socialized service system should be further improved, operation standards and quality supervision mechanisms should be strengthened with a focus on increasing yields and reducing costs, and greater emphasis should be placed on technical training and service coordination for farmers with lower levels of education, higher frequencies of medical visits, and elderly farmers, so as to improve the suitability and inclusiveness of drone technology extension.

     

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