摘要
文章以新能源产业为例,根据《战略性新兴产业分类》从中国工业企业数据库遴选出归属该产业的企业,利用微观企业层面的大样本数据,对企业创新绩效进行综合性研究。文章基于面板Probit计量模型的估计结果表明:企业的R&D投入、出口与否和企业知识积累对企业的创新产出有明显正向效应;企业规模、企业资本密集度等因素对创新产出的重要性因所有制不同而不同。政府需要采取有针对性的政策来诱导企业尽可能多地进行R&D投入,扩大出口以及增加企业本身知识积累。
In this paper, according to strategic emerging industries category, we choose those enterprises belonging to new energy industry from the database of Chinese industrial enterprises. With those micro-level data, we study the innovation performance of these enterprises comprehensively. The estimations from panel Probit econometric model show that: 1 ) the factors, such as R & D input, export and the knowledge stock of enterprises all affect their innovation product positively; 2) to the innovation product, the importance of the firm size and capital intensity varies with ownership. So the governments should carry out proper policies to induce enterprises increasing R&D investment, export and knowledge accumulation.
出处
《商业经济与管理》
CSSCI
北大核心
2014年第3期33-39,共7页
Journal of Business Economics
基金
教育部人文社科青年基金项目(10YJC790294)
浙江省社科规划课题(11JDCY03YB)