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基于EBA方法的R&D投资影响因素稳健性研究——基于中国省际数据分析 被引量:5

The Robust Research on Determinants of R&D Investment——The Empirical Research Based on Provincial Panel Data
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摘要 从省际层面上对R&D投资的决定因素进行实证研究,主要关注通过外商直接投资(FDI)实现的国际技术转移、专利保护强度、经济增长以及人力资本积累和科学研究人员数量。通过极值边界分析(EBA)方法检验这些因素的稳健性和灵敏度。结果表明:高等教育和科研人员比例是对R&D强度具有积极影响的稳健决定因素,通过外商直接投资实现的外国技术流入和收入增长率对R&D投资无显著影响,专利保护强度对决定R&D投资具有稳健的积极影响。 This paper investigates the determinants of R&D investment at the provincial level with an emphasis on the roles of international technology transfer through FDI, patent rights protection, and economic growth, in addition to the essentials of human capital accumulation and the number of scientific researchers. The Extreme-bounds-analysis (EBA) approach is applied to examine the robustness and sensitivity of these factors. The results of the EBA tests showed that tertiary education and the proportion of scientific researchers in a province were robust determinants that had positive effects on R&D intensity. Foreign technology inflows through FDI and the income growth rate are fragile determinants of R&D investment. Patent rights protection had a robust and positive impact on R&D intensity.
出处 《软科学》 CSSCI 北大核心 2014年第11期119-122,共4页 Soft Science
基金 国家自然科学基金项目(7097100) 教育部人文社会科学项目(11YJCZH004)
关键词 R&D投资 技术转移 专利保护强度 收入增长 极值边界分析(EBA) R&D investment technology transfer patent rights protection income growth extreme-bounds-analysis (EBA)
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