摘要
研发科技投入是高技术产业发展的动力,而政府补贴对高技术产业发展具有推动作用,研究二者间的时空演变与协调能够进一步优化研发资源分配,为高质量发展提供政策启示。本文首先对高技术产业企业研发投入与政府补贴的空间特征及其变化趋势进行了分析,之后计算了各省份二者间的耦合协调关系,最后通过建立面板向量自回归模型,使用脉冲响应函数分析了二者间的关系。结果表明:我国高技术产业的科研投入空间分布不均衡;政府对于高技术产业资金资助的南北纵向发展态势明显优于东西横向发展,但差距呈缩小趋势;我国政府补贴与高技术产业企业研发投入的协调水平整体上呈稳定态势,其协调耦合在空间上有地域差异;政府补贴对高技术产业研发投入的影响具有长期性。
R&D investment in science and technology is the driving force for the development of high-tech industries,and government subsidy is a big boost for it.Studying the spatial-temporal evolution and coordination between the two can further optimize the allocation of R&D resources,and provide policy insights for high-quality development.This research firstly analyzed the spatial characteristics and their changing trends of scientific investment and government subsidies in high-tech industry,and then calculated the coupled coordination relationship between the two in each province.Finally,the paper established the panel vector autoregressive model,and applied the impulse response function to make an analysis on this relationship.The results showed that,the scientific research investment in high-tech industries distributed unevenly among regions.The vertical development trend of government funding for high-tech industry from north to south was significantly better than the horizontal development from east to west,but the gap was narrowing.The coordination level of government subsidies and R&D investment in high-tech industries in China was stable on the whole,while their coordination coupling differed among regions.Meanwhile,the influence of government subsidies on R&D investment in high-tech industries has the long-term characteristics.
作者
俞立平
冉嘉睿
YU Li-ping;RAN Jia-rui(School of Statistics and Mathematics,Zhejiang Gongshang University,Hangzhou 310018,China)
出处
《统计学报》
2022年第3期15-27,共13页
Journal of Statistics
基金
浙江省自然科学基金重点项目(Z21G030004)
浙江省一流学科A类项目(浙江工商大学统计学,管理科学与工程)。
关键词
高技术产业
政府补贴
研发投入
重心模型
耦合协调关系
脉冲响应函数
high-tech industry
government subsidies
R&D investment
center of gravity model
coupled coordination relationship
impulse response function