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Efficiency and advantage of government-sponsored RD projects: An inter-industry comparison

机译:政府资助的研发项目的效率和优势:行业间比较

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In this study, data envelopment analysis (DEA) was applied to investigate the relative efficiencies of government-sponsored R&D projects (GSPs) in different industries in Taiwan. The longitudinal data of 110 GSPs belonging to 4 distinctive industries between 1997 and 2005 were examined. Empirical results showed that aggregated efficiency, technical efficiency and scale efficiency in different industries were significantly different. Besides, we present a Two-Model approach that allows decision-makers to evaluate two models simultaneously-one technical efficiency of intellectual property (IP)-based measures and the second one of application (AP)-based measures. This new method selects only DMUs that are efficient in both IP-based and AP-based measures to be members of the benchmark set. This study show that the two-model approach DEA method of analysis can better indicate managerial efficiency and can help the policy maker at various stages to understand their specific advantages and disadvantages more thoroughly and clearly. This will aid each GSP in the industry to gain a greater understanding of the gap between the outputs of GSPs and improve their operational efficiency by providing future operational strategies analysis.
机译:在这项研究中,采用数据包络分析(DEA)来研究台湾不同行业中政府资助的R&D项目(GSP)的相对效率。考察了1997年至2005年间属于4个独特行业的110个GSP的纵向数据。实证结果表明,不同行业的总效率,技术效率和规模效率显着不同。此外,我们提出了两种模型方法,决策者可以同时评估两种模型,一种是基于知识产权(IP)的技术效率,另一种是基于应用(AP)的技术效率。此新方法仅选择在基于IP和基于AP的措施中均有效的DMU作为基准集的成员。这项研究表明,采用两种模型的DEA分析方法可以更好地表明管理效率,并且可以帮助决策者在各个阶段更透彻,更清楚地了解其特定优势和劣势。这将有助于行业中的每个GSP更好地了解GSP产出之间的差距,并通过提供未来的运营策略分析来提高其运营效率。

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