摘要
本文基于2011—2014年中关村高新技术企业微观数据,运用广义倾向得分法和最新发展的非参数估计方法,测度了税收优惠和财政直接补贴在不同强度下对高新技术企业R&D投入的动态效应,并就政策的有效性进行了对比分析。结论认为:财税政策对不同规模高新技术企业R&D活动的影响具有异质性,且存在政策最优作用区间。大中企业的R&D投入只对税收优惠的强度变化敏感,税收优惠强度增加可有效促进其R&D投入,而直接补贴的边际激励效应不显著;小微企业对两种政策均较为敏感,税收优惠对其R&D活动的激励作用显著,随着直接补贴的强度增加其R&D投入水平缓慢提高。
Based on 2011-2014 micro data of Zhongguancun high-tech enterprises, Generalized Propensity Score model and new developed non-parametric estimation method are used to analyze dynamic effects of tax incentive and financial direct subsidy under different intensities on stimulating innovation activity of high-tech enterprises, and the effectiveness of different policies are compared. The results reveal that there are heterogeneity among effects of financial and taxation policies on R&D activities of high-tech enterprises with different sizes, and there are "optimization intervals" of policy. The R&D investment of large and medium-sized enterprises is only sensitive to intensity change of tax incentive, increase in intensity of tax incentive can effectively promote R&D investment, but the marginal incentive effect of direct subsidy is not significant ; Small enterprises are sensitive to both policies, the incentive effect of tax incentive on R&D activities is significant, while with intensity increase of direct subsidy, R&D investments increase slowly.
出处
《中国科技论坛》
CSSCI
北大核心
2017年第2期143-149,共7页
Forum on Science and Technology in China
基金
国家社科基金重大项目"经济社会公共数据的空间统计样本数据开发及应用研究"(11ZD157)
关键词
税收优惠
直接补贴
R&D投入
广义倾向得分法
Tax incentive
Direct subsidy
R&D investment
Generalized propensity score model