%0 Journal Article %T 基于熵值法和模糊综合评价法的“反向就业”倾向及动力机制研究——以上海市非沪籍青年为例
Research on the Tendency and Dynamic Mechanism of “Reverse Employment” Based on Entropy Method and Fuzzy Comprehensive Evaluation Method—Taking Non-Shanghai Youth in Shanghai as an Example %A 封雨琪 %A 林勋 %A 蒋怡婷 %J Pure Mathematics %P 206-218 %@ 2160-7605 %D 2024 %I Hans Publishing %R 10.12677/pm.2024.145178 %X 当下内卷化程度加剧暴露出诸多社会问题,越来越多的青年在就业的人生重大课题上开始做出“去内卷化”的“反向就业”选择。该研究以上海市为例,对上海市非沪籍青年“反向就业”倾向及动力机制展开调研并进行基于熵值法和模糊综合评价法的实证分析。首先,本文利用分层抽样、三阶段不等概率抽样调查的方式对上海市18~35岁非沪籍青年发放问卷,获取样本数据;其次,利用熵值法确定各项评价指标权重,分析得出该群体考虑的重要机遇;在此基础上,采用模糊评价法,通过建立模糊关系矩阵,得出未来计划选择“反向就业”的群体对于意向地的生活机遇评价;最后,提出多方联动助力该群体未来择业的对策建议,响应国家层面大力推动区域协调发展的战略依归。
At present, the intensification of internal inclusion has exposed many social problems, and more and more young people have begun to make the “reverse employment” choice of “de-internal inclusion” on the major life issues of employment. This study takes Shanghai as an example to investigate the “reverse employment” tendency and motivation mechanism of non-Shanghai youth in Shanghai, and makes an empirical analysis based on entropy method and fuzzy comprehensive evaluation method. First, this paper uses stratified sampling and three-stage unequal probability sampling survey to distribute questionnaires to non-Shanghai youth aged 18~35 in Shanghai to obtain sample data; Secondly, entropy method is used to determine the weight of each evaluation index, and the important opportunities considered by the group are analyzed. On this basis, we use fuzzy evaluation method and establish fuzzy relation matrix to get the life opportunity evaluation of the group who plan to choose “reverse employment” in the future. Finally, the paper puts forward the countermeasures and suggestions of multi-party interaction to help the group choose a career in the future, and responds to the strategy of vigorously promoting regional coordinated development at the national level. %K 反向就业,非沪籍青年,动力机制,熵值法,模糊综合评价法
Reverse Employment %K Non-Shanghai Youth %K Dynamic Mechanism %K Entropy Method %K Fuzzy Comprehensive Evaluation Method %U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=87581