农业数据共享赋能农业新质生产力的作用机理与法治应对OA
The Mechanism of Agricultural Data Sharing Empowering New Agricultural Productive Forces and the Rule of Law
农业数据共享作为驱动农业新质生产力发展的核心动能,其法治化进程直接关系农业数字化转型的深度与效度.农业数据与农业新质生产力具有深度耦合的关联性,农业数据共享能够通过重构劳动者、劳动资料与劳动对象的协同关系推动生产力质态跃迁,驱动农业生产范式变革与农业经营主体创新,促进产业集群发展与跨界融合.当前,农业数据共享实践面临基础性法律缺位、共享规则缺失与保障机制失配三重困境,具体表现为:权属界定模糊抑制数据供给动能、标准化规则缺位阻碍跨域流通、共享模式单一降低配置效率、共享内容不明限制主体积极性、安全风险及监管碎片化制约赋能效能.对此,可在平衡农业数据的公益属性与私益激励、安全与发展目标的基础上,构建"动态兼容"权属结构,强化数据标准化建设,设计相适应的共享操作及激励规则协同破解流通梗阻,并完善分级保护制度,依托隐私计算技术、协同监管模式防范数据风险,以法治化路径保障农业数据安全高效流通,推动农业新质生产力发展与农业现代化转型.
As the core driving force for the development of new agricultural productive forces,the process of rule of law of agricultural data sharing is directly related to the depth and effectiveness of agricultural digital transformation.Agricultural data elements are deeply coupled with the new agricultural productive forces.Agricultural data sharing can promote the qualitative transition of productive force by reconstructing workers,labor materials and labor objects,drive the paradigm change of agricultural production and the innovation of agricultural business entities,and promote the development and cross-border integration of industrial clusters.At present,the practice of agricultural data sharing is confronted with three dilemmas of lack of basic laws,lack of sharing rules and mismatch of guarantee mechanisms,which are manifested in ambiguity of ownership definition inhibiting the kinetic energy of data supply,absence of standardized rules hindering cross-domain circulation,single sharing mode reducing the allocation efficiency,unclear sharing content restricting the enthusiasm of subjects,security risks and regulatory fragmentation restricting the empowerment efficiency.In this regard,on the basis of balancing the public welfare attributes of agricultural data with private interest incentives,security and development goals,we should build a"dynamically compatible"ownership structure,strengthen the construction of data standardization,design appropriate sharing operations and incentive rules to solve circulation obstructions,improve the hierarchical protection system,rely on privacy computing technology and collaborative supervision mode to prevent data risks,ensure the safe and efficient circulation of agricultural data with the path of rule of law,and promote the development of new agricultural productive forces and transformation of agricultural modernization.
孔东菊;李畑昕
安徽工业大学公共管理与法学院,安徽 马鞍山 243002安徽工业大学公共管理与法学院,安徽 马鞍山 243002
管理科学
农业新质生产力农业数据数据共享数据安全智慧农业
new agricultural productive forcesagricultural datadata sharingdata securitysmart agriculture
《重庆科技大学学报(社会科学版)》 2026 (1)
66-78,13
马鞍山市法学会重点课题"数据要素赋能马鞍山农业产业高质量发展的法律问题研究"(2025-001).
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