高标准农田建设促进智慧农业技术采纳了吗？

苏岚岚¹　王凯龙²　于艳丽²

（1.中国社会科学院；2.宁夏大学）

摘要：以高标准农田建设促进智慧农业发展对于发挥两类政策叠加作用、加快培育农业新质生产力具有重要意义。本文采用2022年和2024年中国乡村振兴综合调查（CRRS）数据，实证检验高标准农田建设对智慧农业技术采纳的影响、作用机制及空间溢出效应。研究结果表明，高标准农田建设促进了智慧农业技术采纳，具体体现在无人机植保、农机智能导航系统与第三方平台遥感信息服务等技术方面。机制结果分析发现，高标准农田建设通过增加粮食作物种植比例、减少耕地撂荒以及提升农地规模经营比例，推动智慧农业技术采纳。交互影响分析结果显示，对于位于城市郊区、农业特色产业突出、集体资产存量较高以及使用政务服务平台的村庄，高标准农田建设的智慧农业技术采纳促进效应更为明显。进一步地，高标准农田建设对地理位置邻近的其他村庄的智慧农业技术采纳存在正向空间溢出效应。基于研究结论，本文从加快完善高标准农田建设实施机制、持续创新智慧农业技术应用场景、发挥多重政策合力与优化区域协同机制等方面提出政策建议。

关键词：高标准农田；智慧农业；数字技术；新质生产力；技术采纳

作者简介：苏岚岚，中国社会科学院农村发展研究所助理研究员，北京，100732；王凯龙，宁夏大学经济管理学院硕士研究生，银川，750021；于艳丽，宁夏大学经济管理学院副教授，通信作者。

基金项目：国家自然科学基金青年科学基金项目“农民有序参与经济数字化驱动乡村数字治理效能提升的机制与政策研究”（72303238）；研究阐释党的二十大精神国家社会科学基金重大项目“加快建设农业强国的主要目标、重点任务与对策研究”（23ZDA045）；中国社会科学院重大经济社会调查项目“乡村振兴综合调查及中国农村调查数据库项目建设”（GQDC2020017）

引用格式：苏岚岚,王凯龙,于艳丽.高标准农田建设促进智慧农业技术采纳了吗?[J].经济与管理研究,2026,47(4):81-98.

Can High-Standard Farmland Construction Facilitate the Adoption of Smart Agriculture Technologies?

SU Lanlan¹, WANG Kailong², YU Yanli²

(1. Chinese Academy of Social Sciences, Beijing 100732;

2. Ningxia University, Yinchuan 750021)

Abstract: How to promote the diffusion of smart agricultural technologies through high-standard farmland construction (HSFC) and effectively combine the two types of policies is of great significance for accelerating the cultivation of new quality productive forces in agriculture. Using data from the China Rural Revitalization Survey (CRRS), this paper empirically examines the impact of village-level HSFC on the adoption of smart agriculture technologies.

Statistics show that more than half of the sample villages have adopted smart agricultural technologies, which mainly include unmanned aerial vehicles (UAVs) for plant protection, intelligent agricultural machinery navigation systems, remote sensing information services from third-party platforms, and agricultural sensors, accounting for 51.53%, 35.03%, 7.48%, and 6.29%, respectively. Empirical analysis indicates that the HSFC, characterized by the area and proportion of village-level HSFC, can promote the adoption of smart agricultural technologies. This conclusion still holds after addressing endogeneity issues and conducting a series of robustness checks.

Mechanism analysis indicates that the adjustments of crop planting structure, reductions in abandoned arable land, and increases in farmland scale management are the channels through which HSFC affects the diffusion of smart agricultural technologies. This suggests that the impact of village-level HSFC on the diffusion of smart agricultural technologies reflects a multifaceted logic: reducing asset specificity risks, enhancing the farmland endowment effect, and facilitating the realization of economies of scale in farmland. The heterogeneity test suggests that for villages located in urban suburbs and those with agricultural characteristic industries, a high stock of collective assets, or access to government service platforms, the positive impact is more pronounced. Therefore, the village-level HSFC may widen the gap in the adoption of smart agricultural technologies among different villages.

This paper also finds that the village-level HSFC has a positive spatial spillover effect on the adoption of smart agricultural technologies in nearby villages, indicating that the HSFC effectively promotes the cross-regional diffusion of these technologies. This spillover effect is mainly achieved through channels such as technical demonstration, information transmission, resource sharing, and social learning, thereby accelerating the broader dissemination and adoption of smart agricultural technologies.

Based on the above findings, several policy measures should be taken to promote the high-quality development of smart agriculture through the HSFC, including accelerating the improvement of HSFC planning, innovating the application scenarios for smart agricultural technologies, coordinating the implementation of multiple policies, and optimizing inter-regional coordinated development mechanisms.

Keywords: high-standard farmland; smart agriculture; digital technology; new quality productive forces; technology adoption

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