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作 者:王开科 薛梅林 WANG Kai-ke;XUE Mei-lin(School of Statistics,Shandong University of Finance and Economics,Jinan 250014,China)
出 处:《统计与信息论坛》2020年第6期17-23,共7页Journal of Statistics and Information
基 金:国家社会科学基金重大项目“资本存量核算理论方法研究与相关数据库建设”(15ZDB135);国家社会科学基金重点项目“资本存量估算理论方法与应用研究”(15ATJ002)。
摘 要:R&D产出缺乏市场价格且R&D活动本身带有很强的创新异质特征,这使得R&D产出价格指数的测算成为一个研究难题。为准确测算中国的R&D产出价格指数,尝试将生产率调整的思路引入到成本法R&D价格指数的测算框架之中,阐述了从投入成本角度开展R&D产出价格指数测算时进行生产率调整的理论机理,并进行了实际测算。研究结果显示,进行生产率调整能较好突破成本法R&D产出价格指数所隐含的投入价格变化与产出价格变化完全一致的假定,有效解决R&D实际产出的缩减问题。这不仅能为R&D资本存量核算提供支撑,也可以为R&D相关理论研究以及经济增长研究中分析研发创新问题提供基础数据。Because of the strong innovative heterogeneity of the R&D activities and R&D output lacking market price,the calculation of the R&D output price index has become a long-term research problem.In order to accurately measure the R&D output price index in China,it attempts to introduce the idea of productivity adjustment into the measurement framework of the R&D output price index with the input-cost approach.The theoretical mechanism of the cost-based R&D output price index with R&D productivity adjustment is expounded and actual calculations are carried out.The study finds that,when the cost-based R&D output price index implies the assumption that,the changes of the input and output price are completely consistent.If the adjustment to the R&D productivity is made,the assumption could be better broken through and at the same time solve the problem of R&D actual output overestimated.It can provide support for the accounting of R&D capital stock,basic data for the R&D-related theoretical research and the analysis on R&D innovation issues in economic growth research.
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