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沈阳市装备制造业科技资源配置有效性的实证分析 被引量:1

An Empirical Analysis of the Effectiveness of Science and Technology Resources Allocation of Equipment Manufacturing Industry in Shenyang City
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摘要 在建立合理的科技资源配置有效性的评价指标体系的基础上,运用数据包络分析法,对沈阳装备制造业各子行业2010年的科技资源配置状况进行了实证分析,结果显示沈阳通用设备制造业属于非DEA有效;金属制品业、交通运输设备制造业、文化办公用机械制造业及仪器仪表属DEA弱有效;电气机械及器材、专用设备、通信设备及其他电子设备制造业均属DEA有效。进一步分析具体数值,发现沈阳装备制造业内部各子行业间存在科研经费分布不合理、科技人才配置不均及产出低效等问题。结合沈阳实际,提出了进一步调整沈阳装备制造业各子行业间科研经费分布、完善科技人力资源开发策略、改善科技资源配置外部环境的对策建议。 Based on the evaluation index system for reasonable science and technology resources allocation,an empirical analysis was made of the effectiveness of science and technology resources allocation of equipment manufacturing industry in Shenyang city by applying the data envelopment analysis(DEA).The results showed that Shenyang's general machinery manufacturing industry was non-DEA effective,while metal product industry,transportation equipment manufacturing industry,stationery manufacturing industry and instrument manufacturing industry displayed weak DEA effectiveness.For such industries as electrical apparatus manufacturing,specialized equipment manufacturing and communications equipment manufacturing,there existed DEA effectiveness.Further analysis,indicated that the research funds among Shenyang's equipment manufacturing sub-sectors are not rationally distributed,the scientific and technological talents are unevenly allocated and the resultant outputs are rather inefficient.In consideration of the actual situations of Shenyang,it was suggested that further adjustments be made to the research funding distribution among the various sub-sectors of Shenyang's equipment manufacturing industry,the development strategies of scientific and technological talents be perfected,and the external environments of science and technology resources allocation be improved.
出处 《东北大学学报(社会科学版)》 CSSCI 北大核心 2012年第6期500-505,共6页 Journal of Northeastern University(Social Science)
基金 辽宁重大软科学基金资助项目(2011401003) 辽宁科技项目专项资金资助项目(20094010006)
关键词 装备制造业 科技资源配置 数据包络分析(DEA) equipment manufacturing industry science and technology resources allocation data envelopment analysis(DEA)
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