中文摘要：

本文采用中国战略性新兴产业上市企业的相关数据,运用Hansen面板门槛回归技术考察了研发投入强度与战略性新兴产业绩效之间的非线性关联。结果表明：研发投入强度对产业绩效的影响呈显著的倒＂N＂型非线性特征。进一步基于空间异质性和产业异质性的双重视角考察发现：一是研发投入强度对战略性新兴产业绩效的影响存在显著的空间异质门槛效应,东部地区表现出边际效率递减的正向非线性特征,而中西部地区则和全国情况基本一致;二是研发投入强度对战略性新兴产业绩效的门槛效应表现出明显的产业异质性,高端装备制造、新能源和新一代信息技术等产业均呈现倒＂N＂型关系,节能环保、新材料和生物等产业均存在＂U＂型关系,而新能源汽车产业则表现为正向非线性效应。因此,实施差异化的研发政策,兼顾研发资源投入能力与管理能力提升应是战略性新兴产业科技活动发展的重要着力点。

英文摘要：

Based on the panel data of listed companies in strategic emerging industries in China,this paper examines the non-linear relationship between RD input intensity and industrial performance of strategic emerging industresby using Hansen Panel Threshold Regression Model. The results show that RD input intensity has an inverted N type-threethreshold effect on the industrial performance of strategic emerging industry rather than the simple non-linear effect.Furthermore,based on the double perspectives of spatial heterogeneity and the industrial heterogeneity,firstly,it shows that RD input intensity has a significant spatial heterogeneous threshold effect on the industrial performance of strategic emerging industries; it has the positive non-linear feature of diminishing marginal efficiency in the eastern regions,while in the western and central regions,it is basically the same as the average situation nationwide. Secondly,RD input intensity has an obvious industrial heterogeneity on the threshold effect of the strategic emerging industries＇ performance. For hightechnical manufacture,new energy,and high-technical information technology etc.,the relationship between RD and industrial performance is of inverted N type. For energy-conserving and environment-protective industry,new materials,and biotechnology etc.,the relationship between RD and industrial performance is of U-shaped,while for the new energy automobile industry,RD has a positive nonlinear effect on industrial performance. Therefore,implementing different RD policies for different industriesand enhancement of management capability are of vital importance in strategic emerging industries.