基于信息熵-DEA的江西省地区科学基金效率分析
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华东交通大学 经济管理学院

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G311

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国家自然科学基金地区(71761012),移动社交网络环境下企业虚拟社区的用户知识贡献行为研究;国家自然基金软科学项目(L1522015),基础研究支撑引领区域经济社会发展的成效及机制研究—以江西省地区科学基金为例);江西省社科规划博士“泛在知识环境下面向用户感知的图书馆智慧服务模式研究”(16BJ16)。


An Analysis of Regional Science Fund Efficiency in JiangXi Province Based on Information Entropy and DEA
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    摘要:

    地区科学基金作为国家自然科学基金的一个重要组成部分,自设立以来为当地经济发展做出了积极的贡献。通过科学的方法对地区科学基金投入产出进行分析有利于提高其使用效率与管理水平。基于此提出信息熵与DEA模型结合的投入产出效率评价方法,建立评价指标体系,并对2005-2014年结题的地区科学基金进行分析。结果表明:江西省地区科学基金整体投入产出效率较高但规模效率有待加强,且逐年效率不稳定;不同学科之间效率值差距较大。对此提出江西省需适当调整投入规模,综合考虑各学科固有特点,制定有利的科研政策来提高基金投入的总效率。

    Abstract:

    As an important part of the National Natural Science Foundation, the Regional Science Fund has made positive contributions to local social and economic development since its establishment. The analysis of the input and output of Regional Science Fund through scientific method is helpful to improve its efficiency and management level. Based on this, the paper proposes an input-output efficiency evaluation method combining information entropy and DEA model, and sets up an evaluation system for input and output efficiency of Regional Science Fund and analyzes the data of the regional science fund that was completed in Jiangxi province from 2005 to 2014. The results shows that the overall input-output efficiency of science funds in Jiangxi province is higher than the national average, but the scale efficiency needs to be strengthened, the annual efficiency is not stable and greater gap in efficiency values was existed among disciplines. To this end, it is proposed that Jiangxi province should adjust the scale of investment appropriately and formulate a favorable research policy based on the comprehensive consideration of the inherent characteristics of various disciplines so as to improve the total efficiency of fund input.

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  • 收稿日期:2019-02-22
  • 最后修改日期:2019-02-22
  • 录用日期:2019-11-29
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