JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2018, Vol. 53 ›› Issue (5): 80-87.doi: 10.6040/j.issn.1671-9352.0.2017.573
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DONG Xing-lin, QI Xin*
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[1] 徐巧玲.科技投入产出的相对效率评价研究——基于DEA的BCC模型与SE-CCR模型的分析[J].科技管理研究, 2014, 34(1):66-70. XU Qiaoling. Efficiency evaluation on science and technology input and output—based on DEA-the BCC model and SE-CCR model [J]. Science and Technology Management Research, 2014, 34(1):66-70. [2] 赵俊杰.合理使用科技资源提高科技投入产出效率[J].中国科技论坛, 2005, 21(6):9-12, 21. ZHAO Junjie. Using science and technology resource reasonably to improve the productivity[J]. China Science and Technology Forum, 2005, 21(6): 9-12, 21. [3] ROMER P M. Increasing returns and long run growth[J]. Journal of Political Economy, 1986(94):1002-1037. [4] HITT M A, HOSKISSON R E, JOHNSON R A, et al. The market for corporate control and firm innovation[J]. Academy of Management Journal, 1996, 39(5):1084-1119. [5] 魏洁云,江可申,史普润.江苏省研发投入与创新产出的协整研究[J].科技进步与对策, 2011, 28(20):21-25. [6] GRILICHES Z. Issues in assessing the contribute of R&D to productivity growth[J]. Bell Journal of Economics, 1979, 10(1):92-116. [7] 白云飞,潘忠志.我国R&D投入对于科技创新的时滞效应研究[J].科技管理研究, 2015, 35(4):1-5. BAI Yunfei, PAN Zhongzhi. A study on the time lag effect of Chinas R & D input on science and technology innovation[J]. Science and Technology Management Research, 2015, 35(4):1-5. [8] SCHERER F M. Firm size, market structure, opportunity, and the output of patented inventions[J]. American Economic Review, 1965, 55(5):1097-1125. [9] 杜娟.基于DEA模型的我国农业科技创新投入产出分析[J].科技进步与对策, 2013, 30(8):82-85. DU Juan. Analysis of the input-output efficiency of agriculture science and technology innovation in China based on data envelopment analysis[J]. Science & Technology Progress and Policy, 2013, 30(8): 82-85. [10] 陈永清.我国科技投入与科技产出关系的实证研究——基于灰色系统理论的视角[J].广西社会科学, 2011, 27(1):54-59. [11] 贺勇,杨倩霞,唐可欣.广州市科技进步对经济增长贡献份额的测算[J].科技管理研究, 2013, 33(16):44-47. HE Yong, YANG Qianxia, TANG Kexin. The estimation of contribution share of S & T progress on economic growth of Guangzhou city[J]. Science and Technology Management Research, 2013, 33(16):44-47. [12] 付博君,杨新吉勒图.基于索洛模型的技术进步对内蒙古经济增长作用分析[J].科技管理研究, 2014, 34(8):65-69. FU Bojun, YANG Xinjiletu. The analysis of the effect of economic growth factors in Inner Mongolia on the basis of Solow model[J]. Science and Technology Management Research, 2014, 34(8): 65-69. [13] 胡易辰,肖新平.基于知识溢出的科技投入对中国经济增长的时滞贡献研究[J].软科学, 2013, 27(10):55-58. HU Yichen, XIAO Xinping. Analysis of lag-time contribution of S&T input on Chinese economic growth based on knowledge spillover[J]. Soft Science, 2013, 27(10):55-58. [14] 黄钢,徐玖平,李颖.科技价值链及创新主体链接模式[J].中国软科学, 2006, 21(6):72-80. HUANG Gang, XU Jiuping, LI Ying. Science-technology value chains and the linking models among multiple innovation entities[J]. China Soft Science, 2006, 21(6):72-80. [15] 王丹.考虑科技创新投入产出时滞影响的国家创新能力非线性测评[J].科技管理研究, 2017, 37(9):59-68. WANG Dan. Nonlinear assessment of national innovation capability considering time lags effects of innovation input-output[J]. Science and Technology Management Research, 2017, 37(9):59-68. [16] 俞立平.不同科研经费投入与产出互动关系的实证研究——基于面板数据及面板VAR模型的估计[J].科研管理, 2013, 34(10):94-102. YU Liping. Study on interactive relationship of different sources of R&D input and S&T output based on panel data and panel VAR model[J]. Science Research Management, 2013, 34(10):94-102. [17] 索玮岚,高军,陈锐.科研机构科技资源使用效益评估研究——基于时滞效应和关联效应视角[J].科学学研究, 2015, 33(2):234-241. SUO Weilan, GAO Jun, CHEN Rui. Study on utilization effectiveness assessment of S&T resource for scientific research institutes: based on the perspective of time-lag effect and interdependence effect[J]. Studies in Science of Science, 2015, 33(2):234-241. [18] 李武威.国内研发投入、技术转移与创新绩效的协整分析[J].科技管理研究, 2011, 31(8):85-89. LI Wuwei. Co-integration analysis on relationship among domestic R&D input, technology transfer and innovation performance[J]. Science and Technology Management Research, 2011, 31(8):85-89. |
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