School of Textile Garment and Design, Changshu Institute of Technology, Changshu 215500, China.
College of Materials Science and Engineering, Northeast Forestry University, Harbin 150040, China.
J Environ Public Health. 2022 Jul 7;2022:9721691. doi: 10.1155/2022/9721691. eCollection 2022.
With the continuous progress of the economic era, both art and design education and local small and medium-sized enterprises are facing the crisis of survival and the pressure of competition, forcing the two to join hands to resist this crisis. The protection of the ecological environment will not only affect people's lives, but also affect the design and creation of art. This paper adopts the methods of correlation degree and correlation coefficient to construct a feasibility analysis model of mutual benefit cooperation between environment-embedded art and design education and local SMEs development based on improved grey analysis. It is to help art and design education and local small and medium-sized enterprises to continue to develop. The research results of this paper show that: (1) The accuracy of the model in this paper is on the rise as a whole, with the highest accuracy rate of 96.2%; the highest accuracy rate of the improved neural network model is 87.1%; the highest accuracy rate of the random forest algorithm is 86.3%; and the traditional model is the highest. The accuracy rate is 80.3%. (2) The recall rate of the traditional model is between 0.0816 and 0.0984; the recall rate of the random forest algorithm is between 0.726 and 0.983; the recall rate of the improved neural network is between 0.752 and 0.961; the recall rate of the model in this paper is between 0.615 and 0.815. (3) The overall static payback period is decreasing year by year, and the overall rate of return is also increasing year by year, which shows that the cooperation between art and design education and enterprises can bring higher benefits to enterprises. (4) After the cooperation between the two companies in 2016, various indicators have risen significantly. The highest net present value is 92.55 million yuan; the highest profit index is 1.98; the highest net present value rate is 35.8%, and the highest internal rate of return is 79.2%. (5) After school 2 cooperates with the enterprises, the employment rate has increased year by year, with the highest employment rate of 88.3%. In contrast, the annual employment rate of school 1, which does not cooperate with enterprises, is irregular. (6) The percentages of environmental indicators such as total emission reduction, environmental quality, and pollution control have all increased, and resource consumption has decreased by 28%; the public's satisfaction with the results of environmental protection has also reached 90%. (7) The average evaluation of each index is above 8 points, the highest score for completeness is 8.5, the highest score for feasibility is 8.9, the highest score for recognition is 9.2, and the highest score for practicality is 8.7.
随着经济时代的不断进步,艺术与设计教育和地方中小企业都面临着生存危机和竞争压力,迫使两者携手应对这场危机。生态环境的保护不仅会影响人们的生活,还会影响艺术的设计和创作。本文采用关联度和相关系数的方法,基于改进的灰色分析构建了环境嵌入艺术与设计教育和地方中小企业发展互利合作的可行性分析模型,旨在帮助艺术与设计教育和地方中小企业继续发展。本文的研究结果表明:(1)本文模型的准确率整体呈上升趋势,准确率最高为 96.2%;改进神经网络模型的准确率最高为 87.1%;随机森林算法的准确率最高为 86.3%;传统模型的准确率最高为 80.3%。(2)传统模型的召回率在 0.0816 到 0.0984 之间;随机森林算法的召回率在 0.726 到 0.983 之间;改进神经网络的召回率在 0.752 到 0.961 之间;本文模型的召回率在 0.615 到 0.815 之间。(3)整体静态投资回收期逐年下降,整体收益率也逐年上升,说明艺术与设计教育和企业的合作能为企业带来更高的效益。(4)2016 年两家公司合作后,各项指标均大幅上升,最高净现值为 9255 万元;最高利润率为 1.98;最高净现值率为 35.8%,最高内部收益率为 79.2%。(5)学校 2 与企业合作后,就业率逐年上升,最高就业率为 88.3%。相比之下,不与企业合作的学校 1 的年就业率则不规律。(6)总排放量减排、环境质量、污染控制等环境指标的百分比均有所增加,资源消耗减少了 28%;公众对环保成果的满意度也达到了 90%。(7)各指标的平均评价均在 8 分以上,完整性得分最高为 8.5 分,可行性得分最高为 8.9 分,认可度得分最高为 9.2 分,实用性得分最高为 8.7 分。