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养殖户数字技术使用对智慧养殖技术采纳的影响:“红利”还是“鸿沟”?

Impact of digital technology use on the adoption of smart farming technologies: “dividend” or “divide”?

  • 摘要: 智慧养殖技术为生产提质增效提供了新的手段,但其采纳受到养殖户资源禀赋和人力资本的制约。本文基于江苏省346份生猪养殖户调查数据,借鉴“动机-机会-能力”理论框架,考察数字技术接入及不同使用场景与智慧养殖技术采纳的关系。结果表明:1)数字技术接入与智慧养殖技术采纳显著正相关,这一关系在“劳动节约导向型”智慧养殖技术中体现更为明显;2)数字技术使用通过提升养殖户技术认知、增加技术使用服务可获性、缓解养殖户信贷约束,促进智慧养殖技术采纳;3)“交流互动”和“农业生产”场景的使用频率与智慧养殖技术采纳显著正相关,表明数字技术使用场景偏好可能影响其采纳结果;4)数字技术接入与正规教育年限、技术培训次数的交互项均为负,呈现一定的补偿效应特征,即数字技术使用可以缩小由养殖户人力资本禀赋差距引起的智慧养殖技术采纳结果不平等。研究强调,应兼顾数字接入条件与使用能力,结合不同养殖户的需求提供技术信息和服务,分类有序推广智慧养殖技术,同时提升低人力资本养殖户从数字技术中获益的公平性,避免扩大数字鸿沟。

     

    Abstract: Smart farming technologies provide new means of improving the quality and efficiency of pig production, but their adoption is constrained by farmers’ resource endowments and human capital. Based on survey data from 346 pig farmers in Jiangsu Province, this study draws on the motivation-opportunity-capability theoretical framework to examine the relationship between digital technology access, different digital technology usage scenarios, and the adoption of smart farming technologies. The results show that: 1) digital technology access is significantly positively associated with the adoption of smart farming technologies, and this relationship is more pronounced for labor-saving smart farming technologies; 2) digital technology use promotes the adoption of smart farming technologies by enhancing farmers’ technological awareness, increasing the accessibility of technical services, and alleviating credit constraints; 3) the frequency of digital technology use in communication and interaction and agricultural production scenarios is significantly positively associated with the adoption of smart farming technologies, indicating that preferences for different digital technology usage scenarios may affect adoption outcomes; and 4) the interaction terms between digital technology access and years of education and between digital technology access and the number of technical training sessions are both negative, indicating a compensatory effect. Specifically, digital technology use can reduce inequalities in the adoption of smart farming technologies arising from differences in farmers’ human capital endowments. The findings highlight the need to consider both digital access conditions and users’ capabilities, provide technical information and services tailored to the needs of different farmers, promote smart farming technologies in a categorized and orderly manner, and improve the equity of benefits from digital technologies among farmers with lower levels of human capital, thereby avoiding a widening digital divide.

     

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