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R&D efficiency and economic performance: A cross-country analysis using the stochastic frontier approach

机译:研发效率和经济绩效:使用随机前沿方法的跨国分析

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This paper constructs a cross-country production model for evaluating the relative efficiency of aggregate R&D activities. Stochastic frontier methods incorporating translog specification are applied to data of 30 countries in recent years. R&D capital stock and manpower are considered as inputs; patents and academic publications are regarded as outputs. Environmental factors that influence R&D performance are also taken into account. The means of efficiency scores without taking the environmental effects into account are about 0.65 in the cross-country study. After controlling for the operating environment, the means increase to about 0.85. R&D performance indices show a positive correlation with income level. Policy implications on resources allocation and R&D strategies are discussed.
机译:本文构建了一个跨国生产模型,用于评估总研发活动的相对效率。近年来,结合了跨对数规范的随机边界方法已应用于30个国家/地区的数据。研发资本存量和人力被视为投入;专利和学术出版物被视为输出。还考虑了影响研发绩效的环境因素。在越野研究中,不考虑环境影响的效率得分的平均值约为0.65。在控制了操作环境后,平均值增加到约0.85。研发绩效指数与收入水平呈正相关。讨论了资源分配和研发策略的政策含义。

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