西南林业大学学报2024，Vol.8Issue(12)：109-117,9.
基于BP神经网络的农业上市公司可持续发展能力评价研究
Research on Evaluation of Sustainable Development Ability of Agricultural Listed Companies Based on BP Neural Network
摘要
Abstract
At present,there is no uniform standard for the evaluation of sustainable development ability of ag-ricultural enterprises at home and abroad.This paper takes agricultural companies in China as research samples,selects indicators from four dimensions of economy,environment and social corporate governance,and establishes an index system of enterprise sustainable development ability.Based on the information entropy theory to determine the weight of each index and the expected value of sustainable development ability of enterprises,the back propaga-tion neural network evaluation model was constructed,trained and simulated.The results showed that the model had good generalization ability and could be effectively applied to the evaluation of sustainable development ability of ag-ricultural enterprises.Four main factors affecting the overall sustainable development ability of agricultural industry are summarized:Weak technological innovation ability and diversified development;Insufficient investment in envi-ronmental and social responsibility,lack of awareness of information disclosure;Talent reserve difficulties,depend-ence on policy support;Equity structure imbalance,business risk intensification.Finally,some suggestions are put forward to help agricultural enterprises achieve high-quality sustainable development.关键词
农业企业/可持续发展/上市公司/BP神经网络模型Key words
agricultural enterprise/sustainable development/listed company/BP neural network model分类
管理科学引用本文复制引用
杨仁析,曹超学..基于BP神经网络的农业上市公司可持续发展能力评价研究[J].西南林业大学学报,2024,8(12):109-117,9.基金项目
国家自科基金"异质性视角下西部家庭消费间接碳排放的时空演变与驱动机制研究"(72264035)资助. （72264035）
