基于投入-产出模型的智慧农业发展水平测算方法  

Measurement Method of Smart Agriculture Development Level Based on Input-Output Model

作　　者：尹娟 郭进 顾娟 YIN Juan;GUO Jin;GU Juan(College of Intelligent Science and Control Engineering of Jinling Institute of Technology Nanjing,Jiangsu 211169;School of Business of Nanjing Normal University Nanjing,Jiangsu 210023)

机构地区：[1]金陵科技学院智能科学与控制工程学院,江苏南京211169 [2]南京师范大学商学院,江苏南京210023

出　　处：《现代农业研究》2022年第4期1-5,共5页Modern Agriculture Research

基　　金：江苏高校哲学社会科学研究项目“物联网技术在江苏智慧农业中的应用前景及发展路径研究”(批准号:2020SJA0527);国家自然科学基金青年项目“多目标约束下产城融合的耦合机理与优化路径研究”(批准号:71803086)。

摘　　要：鉴于指标体系方法在评价智慧农业发展水平过程中面临的指标筛选困难、数据缺失较多、权重的确定易受主观影响等诸多问题,本文基于投入-产出模型,从智慧化生产资料在农业生产活动中的投入角度,即从机械设备、电器和光学设备、运输设备、信息化技术服务、科学研究与人才培养五个方面,提出了一套测算智慧农业发展水平的研究方法,并论证了该方法的可行性和科学性。In view of the difficulties of index selection, the lack of data, and the subjective influence on the determination of weight in the process of evaluating the development level of smart agriculture by the indicator system method. This paper based on the input-output mode, proposed a set of research methods to measure the development level of smart agriculture from the perspective of the input of intelligent production factors in agricultural production activities, namely, from the five aspects of mechanical equipment, electrical and optical equipment, transportation equipment, information technology services, scientific research and personnel training. The feasibility and scientific of this method are demonstrated.

关 键 词：智慧农业 投入-产出模型 水平测度 

分 类 号：F323[经济管理—产业经济]