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Probing into the Cause and Efficiency of Regional Scientific and Technical Output via Grey Relational Analysis

机译:灰色关系分析探讨区域科技输出的原因及效率

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The analysis object of this paper is the six provinces and one municipality in East China, and the research method which is adopted is grey relational analysis. The research result shows that for the influence of scientific and technical output indexes, the greatest is both "expenditures for scientific and technological activities" and "R&D expenditures." The next is "scientists and engineers," and the lowest is "persons engaged in scientific and technological activities." The two indexes of less influence belong to the input of financial resources, and the two indexes of more affection are part of the input of manpower. Through the grey appraisement of sixteen and four indexes, we can find out the same conclusion: the regional scientific and technical productive efficiency of Shanghai is the highest; Jiangsu is the second; Fujian is the third; Zhejiang is the 4th; Anhui is the 5th; Shandong is the 6th; and the final one is Jiangxi. Further research suggests that when carrying on the analysis of scientific and technical efficiency, compared with sixteen indexes, the selected four indexes may be enough.
机译:本文的分析对象是华东六个省和一座市,采用的研究方法是灰色关系分析。研究结果表明,对于科学和技术产出指标的影响,最大的是“科技活动的支出”和“研发支出”。接下来是“科学家和工程师”,最低的是“从事科技活动的人”。影响较小的影响指标属于财务资源的投入,以及更多情感的两个指标是人力投入的一部分。通过十六和四名指数的灰色评估,我们可以找到相同的结论:上海的区域科学和技术生产效率最高;江苏是第二;福建是第三个;浙江是第四;安徽是第5个;山东是第6个;最后一个是江西。进一步的研究表明,在进行科学和技术效率的分析时,与十六个指标相比,所选择的四个指标可能足够。

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