基于平滑转换回归（STR）模型分别研究了我国财政科技投入与经济增长、R&D经费投入与经济增长的非线性关系。实证结果表明：LSTR2模型能够准确捕捉到我国财政科技投入与经济增长之间的非线性关系；而LSTR1模型能够准确捕捉到我国R&D经费投入与经济增长之间的非线性关系。最后，结合相关理论与实际情况对结果进行讨论，并指出研究局限与未来研究方向。
Abstract
The paper analyzes the nonlinear relationship between China's finance science & technology investment and economic growth, and R&D fund investment and economic growth based on smooth transition regression model. The conclusion shows the relationship between finance science & technology investment and economic growth is appropriate to utilize LSTR2 model to simulate. Meanwhile, the relationship between R&D fund investment and economic growth is appropriate to utilize LSTR1 model to simulate. Finally,the limitations and future directions are discussed according to the related theory and practice.
关键词
财政科技投入 /
R&D经费投入 /
经济增长
Key words
fiscal science & /
technology investment /
R&D fund investment /
economic growth
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基金
国家自然科学基金青年项目“区域经济政策对城市群平衡增长的促进作用：微观机理与仿真实现”（71203178）；陕西省教育厅人文社科专项项目“陕西城市化与能源消费：现状、动态关联性与影响机制研究”（2013JK0106）。陕西（高校）哲学社会科学重点研究基地：城市经济与管理研究中心（107-0051102）和陕西省哲学社会科学特色学科：社会经济系统管理与政策研究（107-5X1203）。
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