中国宏观R&D效率测度及其影响因素分析 ——基于两阶段半参数DEA方法的跨国实证 阅读全文
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Title | China’s R&D Efficiency and Its Influencing Factors
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作者 | 蔡跃洲 |
Author | Cai Yuezhou |
作者单位 | 中国社会科学院数量经济与技术经济研究所 |
Organization | Institute of Quantitative and Technical Economics, Chinese Academy of Social Sciences |
作者Email | caiyuezhou@cass.org.cn |
中文关键词 | 宏观R&D效率、两阶段DEA方法、自助法、删截面板回归 |
Key Words | R&D Efficiency; The Two-stage Semi-parametric DEA Method, Bootstrapping, Censored Panel Regression |
内容提要 | 运用两阶段半参数DEA方法,结合创新经济学、新增长理论等,就包括中国在内的22个国家2000年-2008年各年宏观R&D效率进行测度,并对可能影响R&D效率的各种因素进行分析梳理和计量检验。效率测度和计量检验表明:(1)中国R&D效率排名在22个国家中始终处于前列且呈逐步上升趋势;(2)年龄结构、企业R&D活动、ICT基础设施、经济规模、经济开放程度、自然资源禀赋等对R&D效率有着显著影响;(3)发展阶段、融资结构、市场环境、政府治理等因素也会影响宏观R&D效率;(4)中国R&D效率方面的良好表现得益于年轻的人口结构、活跃的企业R&D活动、巨大的经济总量和较高的经济开放度。未来中国要保持较高的R&D效率、提升自主创新能力,应着力提高信息通信相关领域基础设施覆盖率,提升市场监管和政府治理水平,为微观R&D活动营造更好的外部环境。 |
Abstract | The two-stage semi-parametric DEA method as well as some of the arguments of innovation economics and new growth theory is applied to calculate the R&D efficiency scores and analyze potential influencing factors for 22 countries including China. The results of efficiency calculation and empirical test show that, (1) China’s R&D efficiency ranks high among the 22 countries and is in a gradual increasing trend; (2) Demographic structure, firm-level R&D, ICT infrastructure, economic size and openness, and natural resource endowments have significant impacts on R&D efficiency; (3) Other influencing factors involve developing stage, financing structure, market environment, government governance and etc.; (4) The high R&D efficiency of China can be attributed to its fairy young demographic structure, active firm-level R&D, huge economic sizes and high openness of economy. To maintain its high R&D efficiency and further enhance its innovation capacity, Chinese government should endeavor to increase the coverage of ICT infrastructure and improve its market regulation and governance, creating a good circumstance for firm-level R&D activities. |
文章编号 | WP340 |
登载时间 | 2012-08-22 |
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