A study on the performance evaluation of college science and technology achievement transformation policies based on two-stage goals

Liu Lanjian, Wang Dan, Yang Xueping

Science Research Management ›› 2026, Vol. 47 ›› Issue (8) : 177-186.

PDF(1042 KB)
PDF(1042 KB)
Science Research Management ›› 2026, Vol. 47 ›› Issue (8) : 177-186. DOI: 10.19571/j.cnki.1000-2995.2026.08.018  CSTR: 32148.14.kygl.2026.08.018

A study on the performance evaluation of college science and technology achievement transformation policies based on two-stage goals

Author information +
History +

Abstract

The structural dilemma of "high yield but low harvest" in university science and technology has long troubled academia and government departments, but this common perception is misleading. The root cause lies in differing understandings of "achievements":in the broad sense of scientific and technological achievement transformation, achievements include both scientific knowledge from basic research and technological outcomes from applied research. In contrast, the narrow understanding only focuses on transforming technological achievements, ignoring the knowledge spillover value of scientific achievements, which leads to systematic biases in evaluating university technology transformation. Based on panel data from 2015 to 2022, this study used the DEA-Malmquist index model to measure the efficiency of university scientific and technological achievement transformation, especially analyzing the efficiency differences between the "knowledge production" and "technology transformation" stages. Through an econometric model, it empirically examined the mechanism and path of transformation policies on the transformation efficiency of these two types of achievements, and found that:1)Policies for the transformation of scientific and technological achievements have significantly improved the transformation efficiency of university scientific and technological achievements, and policy intervention plays a positive role in optimizing the innovation ecosystem;2)The impacts of policy tools on transformation efficiency show obvious stage differences. The efficiency improvement effect in the economic transformation stage is significantly higher than that in the knowledge production stage, presenting a policy effect characterized by "strong at the back end and weak at the front end";3)The effects of different policy tools are significantly heterogeneous across university types and characteristics. Non-science and engineering universities have more urgent demand and higher responsiveness to resource supply policies, and such policies have a more prominent effect on promoting knowledge production; 4)Collaborative innovation policies act as an "accelerator" for improving the transformation efficiency of scientific and technological achievements in science and engineering universities, which can more effectively promote technological transformation and realize industrial value. In the future, targeted policies should be implemented according to the characteristics of different university types and the two-stage differences in achievement transformation. Differentiated policy combinations at different levels and categories should be formulated to build a policy ecosystem of "targeted empowerment and precise implementation", so as to further enhance the overall performance and innovation effectiveness of university scientific and technological achievement transformation.

Key words

public policy / scientific and technological achievements / transformation efficiency / knowledge production efficiency / economic transformation efficiency

Cite this article

Download Citations
Liu Lanjian , Wang Dan , Yang Xueping. A study on the performance evaluation of college science and technology achievement transformation policies based on two-stage goals[J]. Science Research Management. 2026, 47(8): 177-186 https://doi.org/10.19571/j.cnki.1000-2995.2026.08.018

References

[1]
国家知识产权局知识产权发展研究中心. 2022年中国专利调查报告[EB/OL].(2022-12-28)[2025-08-28]. https://www.cnipa.gov.cn/art/2022/12/28/art_88_181043.html.
Intellectual Property Development & Research Center, China National Intellectual Property Administration.. Intellectual Property Development Research Center.2022 China Patent Survey Report[EB/OL].(2022-12-28)[2025-08-28]. https://www.cnipa.gov.cn/art/2022/12/28/art_88_181043.html.
[2]
Bertero C O. Post capitalist society[J]. Harper Business, 1993 33(6):102-103.
[3]
Leydesdorff E L. The dynamics of innovation:From national systems and "mode 2" to a triple helix of university-industry-government relations[J]. Research Policy, 2000, 29(2):109-123.
[4]
陈菲, 蔡奇芮, 吕慧慧, 等. 重庆市高校科技成果转化政策工具配置及量化评价研究[J]. 中国高校科技, 2023(8):30-36.
Chen Fei, Cai Qirui, Lyu Huihui, et al. A study on the configuration and quantitative evaluation of policy tools for the transformation of scientific and technological achievements in universities in Chongqing[J]. Chinese Universities Science & Technology, 2023(8):30-36.
[5]
张永安, 闫瑾. 基于文本挖掘的科技成果转化政策内部结构关系与宏观布局研究[J]. 情报杂志, 2016, 35(2):44-49.
Zhang Yongan, Yan Jin. A study on the internal structural relationships and macro-layout of policies for the transformation of scientific and technological achievements based on text mining[J]. Journal of Intelligence, 2016, 35(2):44-49.
[6]
杜宝贵, 张鹏举. 科技成果转化政策的多重并发因果关系与多元路径:基于上海等22个省市的QCA分析[J]. 科学学与科学技术管理, 2019, 40(11):3-14.
Du Baogui, Zhang Pengju. Multi-concurrent causality and multi-paths of the policies for the transformation of scientificand technological achievements:QCA analysis based on the technology transfer polices in 22 regions in China[J]. Science of Science and Management of S.& T., 2019, 40(11):3-14.
[7]
Chen A, Patton D, Kenney M. University technology transfer in China:A literature review and taxonomy[J]. The Journal of technology transfer, 2016, 41:891-929.
[8]
王宏伟, 蒋建勋. 政策响应对高校科技成果转化的影响机制研究[J]. 江汉学术, 2022,(5):29-38.
Wang Hongwei, Jiang Jianxun. A study on the impact mechanism of policy response on the transformation of scientific and technological achievements in universities[J]. Jianghan Academic, 2022(5):29-38.
[9]
吴寿仁. 中国科技成果转化40年[J]. 中国科技论坛, 2018(10):1-15.
Wu Shouren. The 40 years of science and technological achievements transformation in China[J]. Forum on Science and Technology in China, 2018(10):1-15.
[10]
Sengupta A, Ray A S. University research and knowledge transfer:A dynamic view of ambidexterity in British universities[J]. Research Policy, 2017, 46(5):881-897.
[11]
Barletta F, Yoguel G, Pereira M, et al. Exploring scientific productivity and transfer activities:Evidence from Argentinean ICT research groups[J]. Research Policy, 2017, 46(8):1361-1369.
[12]
Obwegeser N, Müller S D. Innovation and public procurement:Terminology,concepts,and applications[J]. Technovation, 2018,74-75:1-17.
[13]
Thursby J G, Thursby M C. Who is selling the ivory tower? sources of growth in university licensing[J]. Management Science, 2002, 48(1):90-104.
[14]
林青宁, 毛世平. 高校科技成果转化效率研究[J]. 中国科技论坛, 2019(5):144-151+162.
Lin Qingning, Mao Shiping. A study on the efficiency of the transformation of scientific and technological achievements in universities[J]. Forum on Science and Technology in China, 2019(5):144-151+162.
[15]
王楚君, 许治, 陈丽玉. 基于标杆管理的中国研究型大学科技成果转化效率评价:网络排序方法的运用[J]. 科研管理, 2020, 41(3):183-193.
Wang Chujun, Xu Zhi, Chen Liyu. Evaluation of the transformation efficiency of scientific and technological achievements in Chinese research universities based on benchmarking:The application of the network ranking method[J]. Science Research Management, 2020, 41(3):183-193.
[16]
何颖, 李思然. 新公共管理理论方法论评析[J]. 中国行政管理, 2014 (11):66-72.
He Ying, Li Siran. A critical analysis of the methodology of the new public management theory[J]. Chinese Public Administration, 2014(11):66-72.
[17]
张海波, 郭大成, 张海英. “双一流”背景下高校科技创新资源配置效率研究[J]. 北京理工大学学报:社会科学版, 2021, 23 (1):171-179.
Zhang Haibo, Guo Dacheng, Zhang Haiying. A study on the allocation efficiency of scientific and technological innovation resources in universities under the background of the “double first-class” initiative[J]. Journal of Beijing Institute of Technology (Social Sciences Edition), 2021, 23(1):171-179.
[18]
Hood C. A public management for all seasons?[J]. Public administration, 1991, 69(1):3-19.
[19]
Pollitt C, Bouckaert G. Public management reform:A comparative analysis-into the age of austerity[M]. Oxford: Oxford university press, 2017.
[20]
方齐, 谢洪明. 科技成果转化政策供给与政策协调的组态效应[J]. 科学学研究, 2022, 40 (6):991-1000.
Abstract
科技成果转化是新产品乃至新产业的基础,是经济增长的重要机制。如何优化科技成果转化政策以促进区域成果转化是有待回答的重要问题。鉴于中国不同层级政府网络间的政策体系以及区域技术资源等差异产生了复杂的成果转化条件,本文立足整合视角框架,综合运用CFA和fsQCA方法,使用中国湖北、广东、上海、浙江四个地区160家转移机构的调查数据,基于地区技术资源和机构组织情境,检验了政策供给、政策协调、技术来源、机构实力、身份自洽5个条件对成果转化成效的组态效应,以及不同组态对转化成效的影响。研究发现:(1)单个成果转化要素条件并不构成成果转化高成效产生的必要条件,但是政策协调在产生成果转化高成效上发挥着关键作用;(2)任何一种理论视角都无法充分地解释成果转化,无论是制度视角,还是资源视角或组织视角,综合不同的视角才能够提供合乎情理的解释。(3)3种成果转化条件组态可以产生高成效,分别是政策供给的中介实力型、政策协调的技术资源型和政策协调的身份自洽型。不同的条件组合代表成果转化高成效实现的不同方式。本文也分析了4种导致成果转化非高成效的组态,它们均呈现出政策条件要素的缺失。本文从整合组态视角探究资源与组织背景下科技成果转化政策供给、政策协调对于科技成果转化成效的影响,研究发现对揭示中国科技成果转化高成效的政策条件实现路径具有重要的理论与实践意义。
Fang Qi, Xie Hongming. The configuration effect of policy supply and policy coordination for the transformation of scientific and technological achievements[J]. Studies in Science of Science, 2022, 40(6):991-1000.
[21]
程惠芳, 陆嘉俊. 知识资本对工业企业全要素生产率影响的实证分析[J]. 经济研究, 2014, 49(5):174-187.
Cheng Huifang, Lu Jiajun. An empirical analysis of the impact of intellectual capital on the total factor productivity of industrial enterprises[J]. Economic Research Journal, 2014, 49(5):174-187.
[22]
纪国涛, 王佳杰. 我国高校科技成果转化政策量化评价研究:以辽宁省10所高校的PMC指数模型分析为例[J]. 中国高校科技, 2022 (11):22-27.
Ji Guotao, Wang Jiajie. A quantitative evaluation study on policies for the transformation of scientific and technological achievements in Chinese universities:A case study of the PMC index model analysis of 10 universities in Liaoning province[J]. Chinese Universities Science & Technology, 2022(11):22-27.
[23]
郑洁红. 资源配置市场化对高校科技成果应用的促进作用[J]. 中国高校科技, 2019,(6):19-22.
Zheng Jiehong. The promoting effect of market-oriented resource allocation on the application of scientific and technological achievements in universities[J]. Chinese Universities Science & Technology, 2019(6):19-22.
[24]
朱恬恬, 杨菲, 张跃军. “双一流”建设政策下高校科技资源配置水平及其地区差异研究[J]. 大学教育科学, 2022(3):70-82.
Zhu Tiantian, Yang Fei, Zhang Yuejun. A study on the level of allocation of scientific and technological resources in universities and their regional differences under the “double first-class” construction policy[J]. University Education Science, 2022(3):70-82.
[25]
盛亚, 冯媛媛, 施宇. 政府科研机构科技资源配置效率影响因素组态分析[J]. 科技进步与对策, 2022, 39(8):1-9.
Abstract
结合超效率SBM模型和模糊集定性比较分析(fsQCA)法,以中国内地25个省级行政区政府科研机构为样本,探讨科技资源配置结构、配置方式和配置环境对省级政府科研机构科技资源配置效率提升的组态效应。研究发现:①单个要素不构成高科技资源配置效率的必要条件,但基础研究强度在科技资源配置效率提升方面发挥了较为普遍的作用;②5种组态均可带来高科技资源配置效率,分别为由基础研究构成的基础研究型组态;由基础研究和应用研究构成的科学研究型组态;由基础研究、计划配置和区域开放度构成的基础研究—环境型组态;由基础研究、市场配置、计划配置、产学研合作水平和区域开放度构成的基础研究—平衡型组态;由应用研究、产学研合作水平和区域开放度构成的应用研究—环境型组态。其中,基础研究型组态和基础研究—平衡型组态在提升科技资源配置效率方面更有效;③我国东西部地区政府科研机构科技资源配置效率提升路径存在显著差异。据此,提出各地区政府科研机构应“因地制宜”地采取匹配路径和针对性措施,以有效提升科技资源配置效率。
Sheng Ya, Feng Yuanyuan, Shi Yu. A configuration analysis of influencing factors on the allocation efficiency of scientific and technological resources in government research institutions[J]. Science & Technology Progress and Policy, 2022, 39(8):1-9.
[26]
王顺洪, 王文怡, 刘玉婷, 等. 科技成果转化激励政策的实施效果评估及对策研究:以四川省为例[J]. 科技管理研究, 2021, 41(9):145-153.
Wang Shunhong, Wang Wenyi, Liu Yuting, et al. An evaluation of the implementation effect of incentive policies for the transformation of scientific and technological achievements and countermeasures:A case study of Sichuan province[J]. Science and Technology Management Research, 2021, 41(9):145-153.
[27]
Thursby J G, Thursby M C. Are faculty critical? Their role in university-industry licensing[J]. Contemporary Economic Policy, 2004, 22(2):162-178.
Understanding the nature of the involvement of faculty in university licensing is important for understanding how technology is transferred through licensing as well as more controversial issues, such as the need for university licensing. Using data from a survey of firms that actively license in from universities, the authors explore the importance of faculty in the licensing and development of inventions, as well as how and why they are used and how the use of faculty relates to characteristics of firms. In particular, the authors find that the use of faculty through sponsored research in lieu of a license is closely related to the amount of basic research conducted by firms, whereas the use of faculty within the terms of a license is related to the prevalence of personal contacts between industry research and development researchers and university faculty. (JEL J44, 031)
[28]
杨树旺, 谭芳玲, 李琳. 长江经济带“双一流”建设高校科技成果转化效率测度及影响因素[J]. 科技管理研究, 2023, 43(4):100-110.
Yang Shuwang, Tan Fangling, Li Lin. Measurement and influencing factors of the transformation efficiency of scientific and technological achievements in “double first-class” universities in the Yangtze River Economic Belt[J]. Science and Technology Management Research, 2023, 43(4):100-110.
[29]
中华人民共和国教育部科学技术与信息化司. 2023年高等学校科技统计资料汇编[M]. 北京: 高等教育出版社, 2024.
Department of Science,Technology and Informatization,Ministry of Education of the People's Republic of China. Compilation of scientific and technological statistics of institutions of higher education in 2023[M]. Beijing: Higher Education Press, 2024.
[30]
冷萱, 李涵. 学科集聚、知识溢出与基础研究产出[J]. 数量经济技术经济研究, 2022, 39(9):94-113.
Leng Xuan, Li Han. Discipline agglomeration,knowledge apillover and basic research output[J]. Journal of Quantitative & Technological Economics, 2022, 39(9):94-113.
[31]
Tushman M L, III C A O R. The ambidextrous organizations:Managing evolutionary and revolutionary change[J]. California Management Review, 1996, 38(4):8-30.
[32]
Hackman J R. The design of work in the 1980s[J]. Organizational Dynamics, 1978, 7(1):3-17.
[33]
STOKES D. Pasteur's quadrant:Basic science and technological innovation[M]. New York: Bloomsbury Publishing USA, 1997.
[34]
Nelson R R. National innovation systems:A comparative analysis[M]. New York: Oxford University Press, 1993.
[35]
邵玲芝, 朱军文. 基于典型案例的“双一流”建设高校科技成果转化特征与问题分析[J]. 教育发展研究, 2023, 43(17):18-24.
Shao Lingzhi, Zhu Junwen. An analysis of the characteristics and problems in the transformation of scientific and technological achievements in “double first-class” universities based on typical cases[J]. Research in Educational Development, 2023, 43(17):18-24.
[36]
高军, 索玮岚. 科研机构科技资源投入与产出的多阶段时滞效应研究[J]. 管理评论, 2018, 30(8):69-78.
Gao Jun, Suo Weilan. A study on the multi-stage time-lag effect of input and output of scientific and technological resources in research institutions[J]. Management Review, 2018, 30(8):69-78.
[37]
Pfeffer J, Salancik G R. The external control of organizations:A resource dependence perspective[J]. Social Science Electronic Publishing, 2003, 23(2):123-133.
[38]
Locke E A, Latham G P. A theory of goal setting & task performance[M]. Englewood Cliffs,NJ: Prentice-Hall, 1990.
PDF(1042 KB)

Accesses

Citation

Detail

Sections
Recommended

/