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Probing into the cause and efficiency of regional scientific and technical output via grey relational analysis

机译:通过灰色关联分析探讨区域科技产出的成因与效率。

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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 “Ron6;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地区的六省一市,采用的研究方法是灰色关联分析。研究结果表明,对于科技产出指标的影响,最大的是“科技活动支出”和“ Ron6; D支出”。第二个是“科学家和工程师”,最低的是“从事科学和技术活动的人”。影响力较小的两个指标属于财务资源的投入,影响较大的两个指标属于人力投入的一部分。通过对十六,四项指标的灰色评价,可以得出相同的结论:上海区域科技生产效率最高;上海区域科技生产效率最高。江苏位居第二。福建是第三;浙江排名第四;安徽排名第五;山东排名第六;最后一个是江西。进一步的研究表明,在进行科技效率分析时,与16个指标相比,选择的4个指标可能就足够了。

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