数学理论与应用 ›› 2018, Vol. 38 ›› Issue (1-2): 118-128.

• • 上一篇    

海南省科技投入与经济增长的关联度分析—基于改进的灰色T型关联度 

李昭明1 ,匡巧娟2, 黄浩1 ,王浩华1*    

  1. 1.海南大学理学院 2.海南大学信息通信学院
  • 出版日期:2018-06-30 发布日期:2020-09-18
  • 通讯作者: 王浩华,海南大学理学院 E-mail:huazi8112@hainanu.edu.cn
  • 基金资助:
    海南省自然科学基金资助项目(117011);海南省教育厅高校科研资助项目(Hnky2017-12);海南大学青年基金(hdkyxj201719);海南大学科研启动基金项目(KYQD(ZR)1735)

Analysis on Gray Relevance of Scientific and Technological Input and Economic Growth of Hainan Province

Li Zhaoming, Kuang Qiaojuan,Huang Hao, Wang Haohua   

  • Online:2018-06-30 Published:2020-09-18

摘要: 本文在考虑序列几何相似度和相对变化率的基础上,对现有T型关联度进行改进,分别考察绝对关联度和相对关联度,以得到更精确的结果.基于改进T型关联度的计算结果及相关分析表明:海南省的 R&D经费投入存在不平衡、不稳定、力度小并且缺乏合理的规划,使得 R&D经费投入并没有有效地发挥其对经济发展的推动作用.最后,针对目前海南省科技投入状况,提出了几点建议以供参考. 

关键词: T型关联度, 灰色算法, 科技投入, 经济增长

Abstract: Considering the geometric similarity and relative change rate of sequences, this paper gives a way to improve the insufficiency on T’s correlation degree and calculate the absolute correlation degree and the relative correlation degree to obtain more accurate results. The calculated results and relevance analysis on Hainan province's R&D expenses by the improved T’s correlation degree show that Hainan province's R&D Planning has some drawbacks, such as funding imbalance and instability, slight and unreasonable planning, which would weaken the economic development by the investments of R&D. Some suggestions are given for reference at the end. 

Key words: T’s correlation degree, Grey algorithm, Investment in science and technology , Economic growth