A Study on Utility Analysis and Risk Prediction of Economic Management of Property Enterprises in Digital Economy

财产(哲学) 数字经济 业务 风险管理 风险分析(工程) 经济体制 经济 经济 产业组织 计算机科学 财务 哲学 认识论 万维网
作者
Yuanping Wang,Dong Yan-yan,Hongmei Wu
出处
期刊:Applied mathematics and nonlinear sciences [De Gruyter]
卷期号:9 (1)
标识
DOI:10.2478/amns-2024-2570
摘要

Abstract In the era of the digital economy, there is a widespread trend for property enterprise economic management to undergo digital transformation. The article examines how the digital economy propels the economic management of property enterprises, scrutinizing its risk components and the digital ecological model of management services. The evaluation index system for the digital economy and the economic management level of property enterprises has been designed, and its comprehensive score is solved using the entropy weight method. Based on the comprehensive score, a spatial Durbin model was established, and spatial autocorrelation tests and econometric regression analyses were performed. Additionally, the risk prediction model for the economic management of property enterprises was established using BP neural networks and risk evaluation indexes. The global Moran’s mean values for the economic management of property enterprises in the digital economy were 0.267 and 0.081, respectively, and both passed the 1% significance test. The development level of the digital economy significantly promotes the economic management of property enterprises at the 1% level, as indicated by the influence coefficients obtained from the neighbor weight matrix, geographic weight matrix, and economic distance weight matrix, which are 2.236, 2.132, and 2.078, respectively. The BP neural network predicts economic management risk for property enterprises with an accuracy of 91.95%. Relying on digital economy-related technology can effectively promote the improvement of the economic management level of property enterprises and can also effectively enable risk prediction in economic management.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
swjs08完成签到,获得积分10
刚刚
沉默的冬寒完成签到 ,获得积分10
1秒前
wangyu发布了新的文献求助10
2秒前
量子星尘发布了新的文献求助10
3秒前
幸福的雪枫完成签到 ,获得积分10
4秒前
彩色觅荷发布了新的文献求助10
4秒前
郭京京完成签到 ,获得积分10
5秒前
菜虚鲲完成签到 ,获得积分10
6秒前
隐形曼青应助南敏株采纳,获得10
8秒前
斯文败类应助Alias采纳,获得10
9秒前
9秒前
10秒前
孙宏祥发布了新的文献求助10
12秒前
12秒前
12秒前
zbx发布了新的文献求助10
13秒前
CipherSage应助青于采纳,获得10
14秒前
15秒前
午见千山应助0p9ol8ik采纳,获得10
16秒前
16秒前
李健应助满眼星辰采纳,获得10
16秒前
星辰大海应助fff采纳,获得10
16秒前
鸭梨完成签到,获得积分10
17秒前
ap完成签到,获得积分10
18秒前
18秒前
Jasper应助徐墨玄采纳,获得10
19秒前
酷波er应助玉252采纳,获得30
19秒前
jiang发布了新的文献求助30
20秒前
xuzj完成签到,获得积分10
20秒前
botanist完成签到 ,获得积分10
22秒前
蔡旭捆完成签到 ,获得积分10
22秒前
量子星尘发布了新的文献求助10
23秒前
jiang完成签到,获得积分20
24秒前
24秒前
zbx完成签到,获得积分10
24秒前
内向半青完成签到 ,获得积分20
25秒前
搜集达人应助勇往直前采纳,获得10
25秒前
25秒前
南敏株发布了新的文献求助10
26秒前
26秒前
高分求助中
【提示信息,请勿应助】请使用合适的网盘上传文件 10000
Continuum Thermodynamics and Material Modelling 2000
The Oxford Encyclopedia of the History of Modern Psychology 1500
Green Star Japan: Esperanto and the International Language Question, 1880–1945 800
Sentimental Republic: Chinese Intellectuals and the Maoist Past 800
The Martian climate revisited: atmosphere and environment of a desert planet 800
Learning to Listen, Listening to Learn 520
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3867500
求助须知:如何正确求助?哪些是违规求助? 3409858
关于积分的说明 10665370
捐赠科研通 3134049
什么是DOI,文献DOI怎么找? 1728806
邀请新用户注册赠送积分活动 833077
科研通“疑难数据库(出版商)”最低求助积分说明 780560