智慧农业发展水平系统协同度评价研究  

Research on Evaluation of Synergy Degree of Development Level System of Smart Agriculture

作　　者：陈红川[1] 张艳[1] 黄小军[1] 刘春贞 CHEN Hongchuan;ZHANG Yan;HUANG Xiaojun;LIU Chunzhen(College of Management,Guangzhou University,Guangzhou 510006,China;School of Business,Nanfang College in Guangzhou,Guangzhou 510970,China)

机构地区：[1]广州大学管理学院,广东广州510006 [2]广州南方学院商学院,广东广州510970

出　　处：《现代农业》2025年第1期17-25,57,共10页Modern Agriculture

基　　金：广东省软科学研究计划项目:广东省战略性新兴产业颠覆性创新能力评价与提升路径研究(2018A070712041)。

摘　　要：智慧农业作为现代农业发展的主攻方向,其发展对推动农业现代化的整体跃迁和农业可持续发挥至关重要的作用。文章将复合系统协同度模型和莫兰指数作为分析工具,以2018—2022年我国29个省区市(除上海市、西藏自治区和港澳台地区)为研究对象,从农业机械化和生产要素配置水平、农业产出水平、农业科技创新水平和农业发展环境支撑水平4个子系统维度评价智慧农业发展水平系统协同度。结果表明:2018—2022年我国智慧农业发展水平协同度均值仅为0.23,数值偏低,且存在显著的区域差异;2018—2022年我国智慧农业机械化和生产要素配置水平子系统、农业产出水平子系统、农业科技创新水平子系统和农业发展环境支撑水平子系统发展水平有序度均值分别为0.51、0.53、0.42、0.36,其中智慧农业发展环境支撑水平子系统有序度均值最低。目前,我国智慧农业发展水平目前不存在显著的空间正相关性。根据研究结果提出发展建议,为我国智慧农业发展提供参考。As the main direction of modern agricultural development,the development of smart agriculture plays a crucial role in promoting the overall leap in agricultural modernization and agricultural sustainability.In this article,the composite synergy model and the Moran index were used as analytical tools to evaluate the system synergy degree of the development level of smart agriculture from four subsystem dimensions,agricultural mechanization and production factor allocation level,agricultural output,agricultural scientific and technological innovation,and support for the agricultural development environment,respectively,in the 29 provinces,autonomous regions,and municipalities of China(excluding Shanghai City,Xizang Autonomous Region,Hong Kong,Macao and Taiwan region)from 2018 to 2022 as the research objects.The results showed that:The mean value of the synergy degree of the development level of Chinese smart agriculture in 2018 to 2022 was only 0.23,which was a low value,and there were significant regional differences;from 2018 to 2022,the mean values of the order degree of the development level of subsystems about Chinese smart agriculture mechanization and production factor allocation level,agricultural output level subsystems,agricultural science and technology innovation level,and agricultural development environment support level were 0.51,0.53,0.42,and 0.36,respectively,of which the order degree of the smart agriculture development environment support level subsystems was the lowest.There is no significant spatial positive correlation in the development level of smart agriculture in China at present.According on the results of the study propose development suggestions and provide reference for the development of smart agriculture in China.

关 键 词：智慧农业 发展水平 协同度 有序度 莫兰指数 

分 类 号：F327[经济管理—产业经济]