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上海大学学报(自然科学版) ›› 2019, Vol. 25 ›› Issue (4): 636-644.doi: 10.12066/j.issn.1007-2861.2095

• 研究论文 • 上一篇    

基于人才供给分析的居住证积分制度优化策略

刘刚1,2, 许维胜3()   

  1. 1. 同济大学 经济与管理学院, 上海 200092
    2. 上海政法学院, 上海 201701
    3. 同济大学 电子与信息工程学院, 上海 201804
  • 收稿日期:2018-10-17 出版日期:2019-08-30 发布日期:2019-09-04
  • 通讯作者: 许维胜 E-mail:xuweisheng@tongji.edu.cn

System optimization of Residence Permit Points System based on talent supply analysis

Gang LIU1,2, Weisheng XU3()   

  1. 1. School of Economics & Management, Tongji University, Shanghai 200092, China
    2. Shanghai University of Political Science and Law, Shanghai 201701, China
    3. College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China
  • Received:2018-10-17 Online:2019-08-30 Published:2019-09-04
  • Contact: Weisheng XU E-mail:xuweisheng@tongji.edu.cn

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摘要：

创新人才的吸引和汇聚是上海大力实施创新驱动发展战略、加快建设具有全球影响力科创中心的关键问题.居住证积分制度是上海近年来在流动人口管理和服务制度上的又一创新.在深入而广泛的文献研究基础上,利用社会学、人口学相关理论提出问题、分析问题,利用管理科学相关理论进行建模,采取理论和实证、定性和定量、宏观和微观相结合的策略,得出居住证积分管理制度的完善路径,并针对上海市居住证积分制度提出了若干改进建议.

关键词: 居住证积分制度, 科技创新中心, 制度优化

Abstract:

The convergence and in-flow of innovative talents is a key issue for Shanghai to vigorously implement the innovation-driven development strategy and accelerate the construction of a globally influential Science and Technology Innovation Center. The Residence Permit Points System is an innovative act in Shanghai's floating population management and service system in recent years. Based on in-depth and extensive literature research, this paper adopts relevant theories in sociology and demography to put forward and analyze problems, incorporates certain management science theories into the creation of a new model, and emphasizes the combination of theoretical and empirical, qualitative and quantitative, macro and micro strategies in its effort to draft a better plan for the Residence Permit Points System and proposes several improvements on the current Shanghai Residence Permit Points System.

Key words: Residence Permit Points System, Science and Technology Innovation Center, system optimization

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