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Scientific Policy Funding Effects on Scientists’ Innovation Ability Based on DID Model: The Example of the Distinguished Young Scientists’ Project Winners in Earth Science |
Tian Renhe1,2, Zhang Zhiqiang1, Wang Fei3, Dou Chao4, Cui Jingjing5 |
1. Chengdu Library and Information Center, Chinese Academy of Sciences, Chengdu 610041; 2. School of Economics and Management, Xi’an University of Technology, Xi’an 710054;; 3. School of Labor and Human Resources, Renmin University of China, Beijing 100872; 4. Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190; 5. School of Management, Inner Mongolia University of Technology, Hohhot 010051 |
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Abstract The development of the world economy, as well as science and technology, shows that scientific and technological innovation is an important engine of economic development. Since the reform and opening up of China, in order to promote the economic and social development of our country, the investment of R&D in China has been increasing. The achievements of scientific research papers have thus increased significantly, but the significant increase in the output of original innovation results has been widely questioned. This empirical study is based on the 1994-2013 geoscience project of the “National Science Foundation for Distinguished Young Scholars” of China, taking the output of the top periodical paper as the evaluation index of innovation ability. After the analysis of the existing research on the “National Science Foundation for Distinguished Young Scholars”, the paper puts forward a framework and theoretical hypothesis of “environment motivation behavior” using the DID model. In order to control for the endogeneity caused by errors, we analyze the fund’s effect on scientists’ innovation ability, verify the theoretical hypothesis, and explain possible reasons based on the “environment motivation behavior” analysis framework. The empirical results show that the fund has reached a significant 9 years, a significant proportion of 1994-2008 years, a significant proportion of 60%, a significant financial support effect and a positive total of 8 years. In these 8 years, the scientists funded by the “National Science Foundation for Distinguished Young Scholars” have not obtained the scientists funded by the jsing fund, and can publish more 0.151-0.698 journals per year. Papers, scientists can produce more than 1.094-3.378 papers on top journals. The biggest subsidy effect was found in the Jay green fund from 2002; that fund’s effect began to decline in 2006. In 2007 and 2008, the effect of the JE fund was not significant. In the performance evaluation of scientific and technological projects, the control group can be constructed through this method to achieve the purpose of inferring causal effects.
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Received: 30 March 2017
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[1] Noorden R V.China by the numbers[J]. Nature, 2016, 534(2): 452-453. [2] 科学网新闻. 中国论文数超过美国施一公: “垃圾文章”太多[EB/OL]. (2018.3.7) [2018.3.710]. http://news.sciencenet.cn/ htmlnews/2018/3/404733.shtm?id=404733. [3] 中国科学院. 周忠和: 科技评价体系改革要减少“人才帽子” [EB/OL]. (2018.3.9) [2018.3.10]. http://www.cas.cn/zjs/201803/ t20180309_4637618.shtml. [4] Benavente J M, Crespi G, Figal Garone L, et al.The impact of national research funds: A regression discontinuity approach to the Chilean FONDECYT[J]. Research Policy, 2012, 41(8): 1461-1475. [5] Arora A, Gambardella A.The impact of NSF support for basic research in economics[J]. Annales Déconomie et de Statistique, 2005, 1(79/80): 91-117. [6] Popp D.Using scientific publications to evaluate govemment R&D spending: The case of energy[R]. Cambridge: National Bureau of Economic Research, 2015. [7] Azoulay P, Zivin J S, Li D, et al.Public R&D investments and private-sector patenting: Evidence from NIH funding rules[J]. NBER Working Paper, 2015: 1-30. [8] 史晓敏, 彭杰, 官建成. 国家自然科学基金重点项目和杰出青年科学基金项目产出绩效比较[J]. 科技与管理, 2004, 6(1): 128-130. [9] 胡平, 吴善超, 李聪, 等. 我国杰出青年科技人才资助成果的评价研究[J]. 科学学与科学技术管理, 2009, 3(1): 190-194. [10] 周萍, 张旭, 周冬梅. 中国主要基金的中文论文产出绩效比较[J]. 科技管理研究, 2012(19): 43-48. [11] Cao C, Suttmeier R P.China’s new scientific elite: Distinguished young scientists, the research environment and hopes for Chinese science[R]. London: School of Oriental and African Studies, 2001. [12] 赵雷, 金盛华, 孙丽. 青年创新人才创造力发展的影响因素——基于对25位“杰青”获得者访谈的质性分析[J]. 中国青年政治学院学报, 2011, 30(3): 68-73. [13] 高祀会. 哈尔滨工程大学“杰青”培养模式研究[D]. 哈尔滨: 哈尔滨工程大学, 2011. [14] 万懿. 个体成长与科研环境对杰青科研产出的影响——以国家杰出青年科学基金生命科学领域受资助者为例[D]. 北京: 中国科学院心理学研究所, 2014. [15] 张烨. 文献计量视角下高层次人才学术成长特征研究——以管理学部杰青基金获得者为例[D]. 南京: 东南大学, 2016. [16] 张瑜. 我国一流青年生物医学科学家科技产出研究——以国家杰出青年科学基金获得者和长江学者特聘教授为例[D]. 太原: 山西医科大学, 2016. [17] 田人合, 张志强, 高志. 基于分段线性回归模型的科学家个人科研产出规律研究——以杰青基金地球科学项目为例[J]. 图书情报工作, 2018, 62(1): 106-116. [18] 田人合, 张志强, 郑军卫. 杰青基金地球科学项目资助效果及对策分析[J]. 情报杂志, 2016, 35(6): 121-129. [19] Maslow A H.A theory of human motivation[M]. Psychological Review, 1943: 370-396. [20] Kamalanabhan T J, Uma J, Vasanthi M.A delphi study of motivational profile of scientists in research and development organisations[J]. Psychological Reports, 1999, 85(3): 743-749. [21] Wahba M A, Bridwell L G.Maslow reconsidered: A review of research on the need hierarchy theory[J]. Organizational Behavior and Human Performance, 1976, 15(2): 212-240. [22] Rajan R G, Zingales L.Power in a theory of the firm[J]. The Quarterly Journal of Economics, 1998, 113(2): 387-432. [23] Zhang P, von Dran G M, Small R V, et al. A two factor theory for Website design[C]// Proceedings of the 33rd Annual Hawaii International Conference on System Sciences. Washington, DC: IEEE Computer Society, 2000, 1: 1-10. [24] 波特, 比格利, 斯蒂尔斯. 激励与工作行为[M]. 陈学军, 译. 北京: 机械工业出版社, 2006: 45-62. [25] 国家自然科学基金委员会. 国家杰出青年科学基金在线[EB/ OL]. [2016-05-19]. . 国家杰出青年科学基金在线[EB/ OL]. [2016-05-19]. http://www.nsfc.gov.cn/publish/portal0/tab313/. [26] Azoulay P, Graff Z J, Manso G.Incentives and creativity: Evidence from the academic life sciences[J]. Social Science Electronic Publishing, 2011, 42(3): 527-554. [27] 中科院期刊分区数据在线平台[EB/OL]. [2017-03-01]. http:// www.fenqubiao.com/. [28] 庞景安. 科学计量研究方法论[M]. 北京: 科学出版社, 1999. [29] Moed H F.Measuring China’s research performance using the Science Citation Index[J]. Scientometrics, 2002, 53(3): 281-296. [30] Web of Science核心合集帮助检索“授权号”字段[EB/OL]. (2014-12-06) [2015-05-19]. http://images.webofknowledge.com/ WOKRS521R5/help/zh_CN/WOS/hs_grant_number.html. [31] Rubin D.Estimating causal effects of treatments in randomized and nonran-domized studies[J]. Journal of Educational Psychology, 1974, 66(5): 688-701. [32] Rubin D.Causal inference using potiential outcomes: Design, modeling, decisions[J]. Journal of the American Statistical Association, 2005, 100(469): 322-331. [33] Rubin D.For objective causal inference, design trumps analysis[J]. The Annals of Applied Statistics, 2008, 2(3): 808-840. [34] Angrist, J D.Mostly harmless econometrics: an empiricist°s companion[M]. Princeton: Princeton University Press, 2010: 165-169. [35] 赵西亮. 基本有用的计量经济学[M]. 北京: 北京大学出版社, 2017: 161-162. |
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