摘要
利用苏州昆山市117个服务企业的样本数据,实证检验创新对服务企业生产率的影响.在阐述服务业创新与制造业创新差异性的基础上,综合使用反映创新绩效和创新过程的五个指标来测度服务业创新水平;在构建回归方程时,运用Heckit模型来解决样本选择性偏误可能引致的内生性问题,并借此识别创新的影响因素.结果表明,创新有助于服务业生产率提升,但在不同类型的服务企业呈现差异化.具体来说,对知识密集型服务企业生产率有显著正面影响,而对非知识密集型的服务企业影响不显著或者为负.从创新类型分析,流程创新对所有服务企业的生产率都有推动作用.此外,互动式创新,特别是客户企业以及同行竞争企业,是服务业创新的主要动力;政府在推动创新中扮演了重要角色.
Based on firm-level data from Kunshan in Suzhou, it empirically examines the relationship between innovation and productivity in service sector. After clarifying the differentials of innovation between manufacturing and service sectors, five indicators are used with regard to innovation performance and inno- vation process to measure innovation level in service sector. Then the Heckit model is employed to deal with the endogenous problem induced by selection bias of the samples, and to distinguish the determinants of service innovation. The results show that the relationship between innovation and productivity in service sector differs from firm types and innovation modes. Specifically, innovation impacts positively on service firms, especially on knowledge-intensive sectors while there is no significant, even weakly negative relation- ship between innovation and non-knowledge-intensive sectors. Process innovation has a positive effect on all types of service firms. The results also demonstrate that interaction innovation, especially, interaction with customers and competitors is the chief driving force of service innovation. In addition, government plays an important role in promoting innovation.
出处
《研究与发展管理》
CSSCI
北大核心
2013年第2期74-84,共11页
R&D Management
基金
国家自然科学基金资助项目"技术溢出效应的多维测度与我国创新模式的优化策略"(71273128)
国家社科基金重点资助项目"以全球价值链引导我国经济结构转型升级"(11AZD002)
关键词
服务业
创新
生产率
互动式创新
service industry
innovation
productivity
interaction innovation
