经费规模与科研产出——基于NSFC资助政策“净效应”的分析

段培新, 王凯凯, 孟溦, 郑毅

科研管理 ›› 2022, Vol. 43 ›› Issue (5) : 94-103.

PDF(1336 KB)
PDF(1336 KB)
科研管理 ›› 2022, Vol. 43 ›› Issue (5) : 94-103.
论文

经费规模与科研产出——基于NSFC资助政策“净效应”的分析

  • 段培新1,王凯凯2,孟溦3,4,郑毅5
作者信息 +

Funding scale and scientific research output——An analysis based on the "net effect" of NSFC funding policy

  • Duan Peixin1, Wang Kaikai2, Meng Wei3,4, Zheng Yi5
Author information +
文章历史 +

摘要

科学研究离不开稳定持续的经费投入,科学合理的科研经费配置对提高科学基金资助成效尤为重要。采用双重差分(DID)方法,对NSFC面上项目2011年资助政策变化进行分析,检验了剔除项目不相关产出后经费增加对科研产出的影响,从而验证经费变化的政策“净效应”。研究发现:科学基金经费增加显著提升了科研产出数量和质量。而剔除不相关产出考虑政策“净效应”后,经费增加对项目产出质量提升更显著。通过异质性分析发现:经费规模增加对科研产出影响的政策“净效应”存在着“强者恒强”的作用,且中等规模团队在经费增加政策中受益更多。为进一步提高科研经费配置成效,可适当增加经费规模,引导科研人员“重质而非冲量”学术发表行为;科学基金针对不同人群实行精细化、差异化资助,提高资助政策精准化程度;进一步完善科学基金成果管理,应更加关注项目的实际产出。

Abstract

   Scientific research needs stable and sustainable funding. The funding policy determines the allocation of scientific research investment resources, and then affects the efficiency of funding. Therefore, the funding policy plays an important role in scientific research investment. Based on a quasi-natural experiment and a difference-in-difference method, the thesis explores the impact of NSFC′s policy of increasing funding on scientific research output. 
    We take general project of NSFC as an example in 2011, and make an empirical analysis on physics. We also use "number" and "number + member + keyword" two different retrieval methods to screen the project output data to test the "net effect" of the change of funding policy after excluding the irrelevant output. It is found that the increase of NSFC funds has a significant policy effect on the impact of the research output, and notability improves the quantity and quality of output. After excluding irrelevant output and considering the "net effect" of the policy, the increase of funds has a more significant impact on the quality of project output. 
   We make the heterogeneity analysis on the experience of principal investigator. With "number" retrieval method, the increase of funds can significantly improve the scientific research output (quantity and quality), but it has a stronger impact on the "young" researchers who have won only one project. Excluding irrelevant output with "number + member + keyword" retrieval method, the increase of funds will increase the number of directly related output for the "young" researchers who have won only one project. On the contrary, the increase of funds improves the quality of output for the "senior" researchers who have won projects for many times. 
    We make the heterogeneity analysis on the institutional type. We find the increase of funds improves the outputs for the top institutions (985 universities and Chinese Academy of Sciences) and for these two types of institutions, the "net effect" of research quality is more significant than quantity after excluding irrelevant output with "number + member + keyword" retrieval method. After excluding irrelevant output and considering the "net effect" of the policy, the increase of funds has no significant impact on the directly related output of the project for other institutions (211 universities and general universities). Therefore, removing the phenomenon of "nominal", there is a function of "the strong is always strong" in the "net effect" of the policy of increasing funds. 
    We make the heterogeneity analysis on the team size. With the increase of funds is more obvious for the improvement of the output quantity of large teams, and more significant for the improvement of the output quality of small and medium team with "number" retrieval method. After removing the phenomenon of "nominal", only the medium scale team will benefit from the policy of increasing funds. 
    In order to improve the policy funding effect, we can appropriately increase the scale of funds and guide scientific researchers to "focus on quality rather than impulse" academic publication. We should implement fine and differentiated funding, and improve the accuracy of funding policies. 
   We can carry out gradient funding for different groups to general projects. For example, for "senior" researchers who have won many times, we can increase the funding size and form a "cumulative effect". For "young" researchers with little experience, we should carry out diversified funding. For researchers of top institutions, we should appropriately increase funding size to highlight the "Matthew effect" and increase exchange and cooperation projects between top institutions and other institutions in order to accelerate the mobility and sharing of scientific research resources. 
    We also need to pay attention to the work of team size and team structure in fund evaluation. At least, NSFC should show solicitude for the correlation between research results and fund projects at the time of project application and conclusion. Moreover, we should also further improve the achievement management of NSFC, get rid of "nominal" phenomenon and pay more attention to the actual output of projects.

关键词

科学基金 / 经费规模 / 科研产出 / 双重差分 / 政策“净效应”


Key words

science foundation / funding scale / scientific research output / difference-in-difference / policy "net effect"

引用本文

导出引用
段培新, 王凯凯, 孟溦, 郑毅. 经费规模与科研产出——基于NSFC资助政策“净效应”的分析[J]. 科研管理. 2022, 43(5): 94-103
Duan Peixin, Wang Kaikai, Meng Wei, Zheng Yi. Funding scale and scientific research output——An analysis based on the "net effect" of NSFC funding policy[J]. Science Research Management. 2022, 43(5): 94-103

参考文献

[1] 国家自然科学基金委员会. 年度报告[EB/OL]. http://www.nsfc.gov.cn/publish//portal0/tab224/. 2021-07-06.
National Natural Science Foundation of China. Annual Report[EB/OL]. http://www.nsfc.gov.cn/publish//portal0/tab224/. 2021-07-06.
[2] 段培新,孟溦.科学基金项目资助规模与强度适宜性研究——以地理学面上项目与青年科学基金项目为例[J].中国科学基金,2017,31(04):371-379.
DUAN Peixin, Meng Wei. Research on suitability of NSFC funding scale—case study of the General Program and the Youth Scientists Program of Geography[J]. Science Foundation in China, 2017,31(04):371-379.
[3] VANECEK J. The effect of performance-based research funding on output of R&D results in the Czech Republic[J]. Scientometrics, 2014, 98(1) : 657-681.
[4] GUSH J, JAFFE A, LARSEN V, Laws, A. The effect of public funding on research output: the New Zealand Marsden fund[J]. New Zealand Economic,2018, 52 (2), 227–248.
[5] 俞征鹿,马峥,郭红,王娜,贾佳.中国科技计划项目论文产出和影响力分析[J].情报杂志,2013,32(04):1-5+15.
YU Zhenglu, Ma Zheng, Guo Hong, Wang Na, Jia Jia. A Quantitative Analysis of Papers Sponsored by National Science and Technology Programs [J]. Journal of intelligence, 2013,32 (04): 1-5 + 15.
[6] WANG J, SHAPIRA P. Is there a relationship between research sponsorship and publication impact? An analysis of funding acknowledgments in nanotechnology papers [J]. PLoS ONE, 2015, 10(2):e0117727.
[7] ZHAO S X, LOU W, TAN A M et al. Do funded papers attract more usage? [J]. Scientometrics 2018, 115(1):153-168.
[8] YAN E, WU C, SONG M. The funding factor: a cross-disciplinary examination of the association between research funding and citation impact. Scientometrics[J]. 2018,115:369–384
[9] 王菲菲,贾晨冉,刘俊婉.科技项目资助对论文产出绩效的作用效率测度研究——以人工智能领域为例[J].科技进步与对策,2019,36(16):26-33.
WANG Feifei, JIA Chenran, LIU JunWan. Research on efficiency measurement of effect of science and technology project funding on output performance of paper – a case study of artificial intelligence [J]. Scientific and technological progress and policy, 2019,36 (16): 26-33.
[10] G?K A, RIGBY J, SHAPIRA P. The impact of research funding on scientific outputs: Evidence from six smaller European countries[J]. Journal of the Association for Information Science and Technology, 2016, 67(3): 715-730.
[11] 白玉,郑童桐,赵镇,赵醒村.基于文献计量的国家自然科学基金资助效果分析:以南方医科大学为例[J].中国科学基金,2016,30(04):340-345.
BAI Yu, ZHENG Tongtong, ZHAO Zhen, ZHAO Xingcun. The funding effect analysis of national natural science foundation of China in Southern Medical University on bibliometrics[J]. China Science Foundation, 2016,30 (04): 340-345.
[12] 马建霞,张志强,刘静,鲍玉芳.2007—2013年NSFC国家杰出青年科学基金项目的论文产出与影响力分析[J]. 中国科学基金,2015,29(02):108-115.
MA Jianxia, ZHANG Zhiqiang, LIU Jing, BAO Yufang. Relationship between funding support and the output of papers: study on the articles supported by National Science Fund for Distinguished Young Scholars [J]. Science Foundation of China, 2015,29 (02): 108-115.
[13] SANDSTROM U. Research quality and diversity of funding: A model for relating research money to output of research. Scientometrics[J].2009, 79: 341–349.
[14] ZHOU P, TIAN H. Funded collaboration research in mathematics in China[J]. Scientometrics, 2014, 99(3): 695-715.
[15] PARK H, LEE J J, KIM B C. Project selection in NIH: a natural experiment from ARRA[J]. Research Policy,2015,44 (6): 1145–1159.
[16] ALBERT G Z. Hu. Public funding and the ascent of Chinese science: Evidence from the National Natural Science Foundation of China[J]. Research Policy,2020, 49 (103983).
[17] 叶文豪,洪磊,唐梦嘉,张逸勤.科研论文基金项目“一文多注”和不实标注研究——以2014-2018年国家社科基金项目为例[J].图书与情报,2020(6):65-72.
YE Wenhao, HONG Lei, TANG Mengjia, ZHANG Yiqin. Research on multiple labeling and false labeling of fund project in scientific papers – based on 2014-2018 National Social Science Fund Projects [J]. Books and intelligence, 2020 (6): 65-72.
[18] BLOCH C, SORENSEN MP. The Size of Research Funding: Trends and Implications [J]. Science and Public Policy, 2015; 42: 30–43.
[19] TOMAS H, LEILA J , ERIK B. Center of excellence funding: Connecting organizational capacities and epistemic effects[J]. Research Evaluation. 2018,27: 73-81.
[20] Promoting Research Excellence: New Approaches to Funding. Paris: OECD Publishing. 2014.
[21] LECHNER M. The estimation of causal effects by difference -in -difference methods. Foundations and Trends? [J]. in Econometrics, 2011,4(3):165-224.
[22] 周黎安,陈烨.中国农村税费改革的政策效果:基于双重差分模型的估计[J].经济研究,2005(08):44-53.
ZHOU Li'an, CHEN Ye. The policy effect of tax-and-fees reforms in rural China: a difference-in-difference estimation [J]. Economic research, 2005 (08): 44-53.
[23] JACOB B A, LEFGREN L. The impact of research grant funding on scientific productivity[J]. Journal of Public Economics, 2011,95(9–10), 1168–1177.
[24] WALTMAN L. A review of the literature on citation impact indicators[J].Journal of Informetrics,2016, 10(2), 365–391.
[25] 段培新,孟溦.阻塞条件下科学基金项目方向规模收益研究[J].科研管理,2018,39(02):152-160.
DUAN Peixin, Meng Wei. A research on directional returns to scale of science funding program under congestion[J]. Scientific research management, 2018,39 (02): 152-160.
[26] 孟婧,邱长波,于宝君.国家自然科学基金对科技论文资助效果研究综述[J].情报科学,2019,37(12):166-171.
MENG Jing, QIU Changbo, YU Baojun. Review of the research on the effect of national natural science foundation financing for scientific papers [J]. Intelligence science, 2019,37 (12): 166-171.
[27] WANG J, LEE Y N, WALSH J P. Funding model and creativity in science: Competitive versus block funding and status contingency effects[J]. Research Policy,2018, 47(6), 1070–1083.
[28] KIM W, MIN S. The effects of funding policy change on the scientific performance of government research institutes[J]. Asian Journal of Technology Innovation,2020, 28:2, 272-283.
[29] SINATRA R, WANG D, DEVILLE P, SONG C, BARABASI A L. Quantifying the evolution of individual scientific impact[J]. Science, 2016,354(6312), aaf5239–aaf5239.
[30] KIM D H, BAK H J J. How do scientists respond to performance-based incentives? Evidence from South Korea[J]. International Public Management Journal,2016,19(1), 31–52.
[31] HIRSCH J E.An index to quantify an individuals scientific research output [J].PNAS, 2005,102: 16569-16572.
[32] 王颖婕,柳卸林,王雪璐,董彩婷.科研项目学术价值评价及影响因素研究[J].科学学研究,2020,38(03):409-417.
WANG Yingjie, Liu Xianlin, Wang Xuelu, Research on academic value assessment and influencing factors of scientific research projects[J]. Studies in Science of Science, 2020,38 (03): 409-417
[33] STEFAN W, BENJAMIN F, JONES B U. The Increasing Dominance of Teams in Production of Knowledge[J]. Science,2007, 316, 1036 .
[34] OSORIO, ANTONIO M, BORMANN L. On the disruptive power of small-teams research[J]. Working Papers, 2020; 126:117-133.
[35] WU L, WANG D, EVANS J A. Large teams develop and small teams disrupt science and technology[J].Nature, 2019,566:378–382.
[36] 周建中.科研人员成果产出与年龄相关吗?——基于文献综述的研究[J].自然辩证法通讯,2019,41(09):87-92.
ZHOU Jianzhong. Does the output of scientific researchers correlate with their age: a study based on literature review[J]. Journal of Dialectics of Nature,2019,41(09):87-92.
[37] AZOULAY P, STUART T, WANG Y. Matthew: Effect or fable? [J]. Management Science, 2013,60(1), 92–10
[38] LARIVIERE V, GINGRAS Y. The impact factor’s Matthew effect: A natural experiment in bibliometrics[J]. Journal of the American Society for Information Science and Technology, 2010,61(2), 424–427.
[39] DIMKE H, NORN M T, Maria T, Christiansen PM. Most scientists prefer small and mid-sized research grants[J]. Nature Human Behaviour. 2019, 3: 765-767.
[40] 段培新. 基于DEA的科学基金资助项目规模收益研究—— 以 NSFC 面上项目和青年项目为例[D].华东师范大学,2018.
DUAN Peixin. Research on scale income of NSFC funded projects based on DEA —case study of the General Program and the Youth Scientists Program of NSFC [D]. East China Normal University, 2018.
[41] 李林红,王娟,徐彦峰.低碳试点城市政策对企业技术创新的影响——基于 DID双重差分模型的实证研究[J].生态经济,2019,35(11):48-54.
LI Linhong, WANNG Juan, XU Yanfeng. The influence of pilot policy of low-carbon city on enterprise technology innovation: an empirical research based on difference-in-different model [J]. Ecological Economy,2019,35(11):48-54.
[42] 刘雷,刘作仪,李江涛.管理科学部2020年度基金资助项目绩效评估分析[J].管理学 报,2021,18(12):1750-1755.
[43] LIU Lei, LIU Zuoyi, LI Jiangtao. Analysis of post-riview of the results of projects fund by department of management sciences of NSFC in 2020[J]. Chinese Journal of Management, 2021,18(12):1750-1755.ZHOU P, CAI X, LYU X. An in-depth analysis of government funding and international collaboration in scientific research[J]. Scientometrics, 2020, 125(2), 1331-1347.

基金

国家自然科学基金项目:“科学基金项目规模收益及最优规模项目特征研究”(71904105,2020—2022);国家自然科学基金项目:“基于工作行为数据的试验发展人员‘人-岗’能力匹配方法研究”(72004217,2021—2023);山东省重点研发计划(软科学)项目:“改革开放以来山东省科技创新政策的演进路径与系统剖析”(2020RKB01369,2020—2021)。

PDF(1336 KB)

Accesses

Citation

Detail

段落导航
相关文章

/