自主创新人才队伍政策关联性研究

科研管理 ›› 2012, Vol. 33 ›› Issue (2): 40-47.

自主创新人才队伍政策关联性研究

曲婉^1,2, 穆荣平^1,2, 宋河发^1,2

1. 中国科学院科技政策与管理科学研究所,北京 100190;
2. 中国科学院创新发展研究中心,北京 100190

收稿日期:2011-03-06 修回日期:2011-07-29 出版日期:2012-02-27 发布日期:2012-02-28
作者简介:曲婉(1982-),女,河南南阳人,博士,助理研究员,研究方向:创新政策、服务创新。
穆荣平(1960-),男,安徽合肥人,研究员,博士生导师,研究方向:科技政策、创新政策与科技管理。
宋河发(1968-),男,河南平顶山人,博士,副研究员,研究方向:创新政策、知识产权管理。

The policy correlativity for the development of innovative talents and teams

Qu Wan^1,2, Mu Rongping^1,2, Shong Hefa^1,2

1. Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100190, China;
2. Research Center of Innovation Development, Chinese Academy of Sciences, Beijing 100190, China

Received:2011-03-06 Revised:2011-07-29 Online:2012-02-27 Published:2012-02-28

摘要/Abstract

摘要： 本文结合政策分析方法和调研数据,系统分析《国家中长期科学和技术发展规划纲要(2006-2020)》及其配套政策和实施细则中人才队伍建设部分的政策关联性。研究结果表明,我国已经初步建成自主创新人才队伍政策体系,但还存在部分配套政策与实施细则不一致、某些实施细则不能有效支撑配套政策等问题。为建立规模宏大的创新人才队伍,我国应该规范自主创新人才队伍政策相关概念和标准,培养并引导创新人才向企业和农村集聚,建立健全以自主创新为核心的人才激励机制,完善创新人才流动配置机制。

关键词: 自主创新, 创新人才和团队, 政策关联性分析

Abstract: By using the approaches for policy analysis and questionnaires methods, the correlativity of human resource policies among the National Outline of Medium and Long-term Plan for Science and Technology Development (2006-2020), the supporting policies, and implementation details are systemically analyzed. The results show that there is a preliminary policy system for developing innovative talents and teams in China. However, there are some inconsistent between the supporting policies and implementation details, and some of the implementation details are unable to effectively support the supporting policies. In order to build a large-scaled and effective innovative talents and teams, the four issues, including regulating related concepts and standards in supporting policies and implementation details,cultivating and guiding talents into enterprises and rural areas, setting up the incentive mechanism focusing on innovation, and improving the flexibility of talents allocation and flow systems, should be concerned.

Key words: indigenous innovation, innovative talent and team, policy correlativity analysis

中图分类号:

G301

曲婉, 穆荣平, 宋河发. 自主创新人才队伍政策关联性研究[J]. 科研管理, 2012, 33(2): 40-47.

Qu Wan, Mu Rongping, Shong Hefa. The policy correlativity for the development of innovative talents and teams[J]. Science Research Management, 2012, 33(2): 40-47.

参考文献

[1] Charles E. Lindblom. Policy Analysis [J]. The American Economic Review, 1958 (3): 298-312. [2] Richard Schwindt, Aidan R. Vining, David Weimer, A Policy Analysis of the BC Salmon Fishery[J], Canadian Public Policy. 2003, 29 (1): 73-93. [3] Vining, A. R., A. E. Boardman, et al. The choice of formal policy analysis methods in Canada. In Dobuzinskis, L., Howlett M., et al. Policy analysis in Canada: the state of the art [M]. Toronto: University of Toronto Press, 2007. [4] Carl Patton, David S. Sawicki, Basic Methods of Policy Analysis and Planning (2 edition) [M]. NJ: Prentice Hall, 2003. [5] 张守文.经济法的政策分析初探[J]. 法商研究,2003(5):94-102. [6] David L. Weimer, Aidan R. Vining. Policy Analysis: Concepts and Practice (4th Edition) [M]. Upper Saddle River, New Jersey: Prentice Hall, 2005 [7] Howlett, M. Policy analytical capacity and evidence-based policy-making: Lessons from Canada [J]. Canadian Public Administration, 2009 (2): 153-175. [8] Sanderson, I. Evaluation, Policy Learning and Evidence-Based Policy Making [J]. Public administration, 2002 (1): 1-22. [9] Frank Fischer, Gerald Miller, Mara S. Sidney. Handbook of public policy analysis: theory, politics, and methods [M]. Boca Raton: CRC Press, 2007. [10] Davies, H. T. O., S. M. Nutley, et al. What works?: Evidence-based policy and practice in public services [M]. Bristol: Policy Press, 2007. [11] Colombo, A., K. S. Sultan, et al. Policy Research in a Complex Context [J]. Intelligent Information Management, 2010 (2): 619-630. [12] Blomquist, N. S. A General Equilibrium Model for Tax Policy Evaluation [J]. The Journal of Political Economy, 1987(95): 1117-1119. [13] Willem Gunning, J. and M. A. Keyzer. Applied general equilibrium models for policy analysis1. In Chenery, H. B., T. N. Srinivasan, et al. Handbook of development economics [M]. Amsterdam: North Holland, 1995. [14] Agarwal, C., G. M. Green. A review and assessment of land-use change models: Dynamics of space, time and human choice . UFS Technicla Report NE-297, 2002. [15] Partridge, M. D. and D. S. Rickman. Computable general equilibrium (CGE) modelling for regional economic development analysis [J]. Regional Studies, 2010 (10): 1311-1328. [16] Narayanan, B. G., T. W. Hertel, et al. Disaggregated data and trade policy analysis: The value of linking partial and general equilibrium models [J]. Economic Modelling, 2010 (3): 755-766.