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| Configuration Analysis of Influencing Factors on Allocation Efficiency of Scientific and Technological Resources in Government Scientific Research Institutions |
| Sheng Ya,Feng Yuanyuan,Shi Yu |
| (School of Management,Zhejiang Gongshang University,Hangzhou 310018，China) |
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Abstract With the increasingly fierce scientific and technological competition among countries, the status of scientific and technological resources has been continuously improved. Due to the scarcity of scientific and technological resources, while stepping up their own scientific and technological innovation activities, countries are also thinking about how to improve the allocation efficiency of scientific and technological resources to better serve their own scientific and technological innovation activities and enhance their international competitiveness. Under the guidance of the policy of strengthening China through science and technology, China's demand for science and technology resources is also increasing. However China used to emphasize applied research rather than basic research, so there is unreasonable allocation of scientific and technological resources. Government scientific research institutions, supported by government public resources, need more scientific and technological resources to support their scientific and technological innovation, and meanwhile the government need to strengthen rational scientific and technological resources allocation.#br#Taking government scientific research institutions as the research object, this paper selects 25 provincial and municipal government scientific research institutions in China as research cases. First, the super-efficiency SBM model is used to evaluate the allocation efficiency of scientific and technological resources in government scientific research institutions. Then, the fuzzy set qualitative comparative analysis (fsQCA) method is used to reveal how the six influencing factors including basic research intensity, applied research intensity, market allocation, planned allocation, industry-university-research cooperation and regional openness from the dimension of the structure, mode and environment of the allocation of scientific and technological resources in selected institutions interact to improve the efficiency of scientific and technological resources allocation.#br#Results show that a single factor is weak in explaining the efficiency of high-tech resources allocation, but the intensity of basic research plays a more universal role in improving the efficiency of scientific and technological resources allocation. There are five different configurations which influence high-tech resources allocation efficiency. They are basic research type dominated by basic research, scientific research type jointly by basic and applied research, basic research-environmental type jointly by basic research, government allocation and regional openness, basic research-balanced type jointly by basic research, market allocation, government allocation, level of industry-university-research cooperation and regional openness, and applied research - environment type jointly by applied research, industry-university-research cooperation level and regional openness. Among them, the basic research type and the basic research - balanced type play a more important role. There are obvious differences in the ways to improve the efficiency of the allocation of scientific and technological resources of government scientific research institutions. The improvement of the allocation efficiency of scientific and technological resources of government scientific research institutions in the western and northeast regions of China mainly depends on scientific research including the driving force of basic research and applied research. In the east of China, it mainly depends on the linkage of the configuration structure, configuration mode and configuration environment of scientific and technological resources or the coordination and concurrency of configuration structure and configuration environment.#br#To study the allocation efficiency of scientific and technological resources, this study takes government scientific research institutions as the research object and use fsQCA. Different from previous studies, this study considers the influence of the interaction between factors on the allocation efficiency of scientific and technological resources, which to some extent makes up for the limitation of previous quantitative studies that consider the role of a single factor. This research also has instructive significance to practice. There are obvious differences in the factors influencing the allocation efficiency of scientific and technological resources of government scientific research institutions in different regions of China. The allocation efficiency of scientific and technological resources of government scientific research institutions in the western and northeastern regions of China mainly rely on scientific research which includes both basic research and applied research. In the east of China, it mainly depends on the joint adaptation of the configuration structure, configuration mode and configuration environment of scientific and technological resources or the coordination and concurrency of configuration structure and configuration environment. Therefore, we should take into account the differences of regional government scientific research institutions, and adopt matching paths and targeted measures according to local conditions in order to improve the efficiency of scientific and technological resources allocation effectively.#br#
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Received: 21 July 2021
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| [1] 范建平，赵园园，吴美琴.基于改进交叉效率的中国科技创新资源配置研究[J].中国科技论坛，2017，33(12)：32-40.[2] 李柏洲，董恒敏.协同创新视角下科研院所科技资源配置能力研究[J].中国软科学，2018，33(1)：53-6.[3] 刘汉初，樊杰，周侃.中国科技创新发展格局与类型划分——基于投入规模和创新效率的分析[J].地理研究，2018，37(5)：910-924.[4] 杨传喜，徐顽强.湖北农业科研机构科技资源结构与配置效率研究[J].科研管理，2015，36(S1)：377-384.[5] 张子珍，杜甜，于佳伟.科技资源配置效率影响因素测度及其优化分析[J].经济问题，2020，42(8)：20-27.[6] 代涛，阿儒涵，李晓轩.国立科研机构预算拨款配置机制研究[J].科学学研究，2015，33(9)：1365-1371,1404.[7] 亚当·斯密.国民财富的性质和原因的研究[M].北京：商务印书馆，1972.[8] 马克思.资本论.第一卷[M].北京：人民出版社，1975.[9] 段忠贤，吴鹏.科技资源配置效率影响因素组态与路径研究——基于中国内地30个省市的QCA分析[J].科技进步与对策，2021，38（22）：11-18.[10] 毛世平，王晓君，林青宁.京津冀地区农业科研机构科技资源结构与配置效率研究[J].农业经济与管理，2019，10(3)：42-50.[11] 朱慧，傅为忠，刘彦华.安徽省科技资源配置效率及其影响因素研究[J].合肥工业大学学报(社会科学版)，2013，27(4)：13-19.[12] 高培勇，杜创，刘霞辉，等.高质量发展背景下的现代化经济体系建设：一个逻辑框架[J].经济研究，2019，54(4)：4-17.[13] 刘玲利.中国科技资源配置效率变化及其影响因素分析：1998-2005年[J].科学学与科学技术管理，2008，29(7)：13-19.[14] 梅姝娥，陈文军.我国副省级城市科技资源配置效率及影响因素分析[J].科技管理研究，2015，35(6)：64-68.[15] 吴家喜，彭洁.科技资源配置能力内涵及驱动因素分析[J].工业技术经济，2010，29(12)：103-107.[16] 周琼琼，华青松.政府及市场行为对科技资源配置与技术创新能力影响的实证研究[J].科技进步与对策，2015，32(15)：14-19.[17] KLENOW H P J.Misallocation and manufacturing TFP in China and India[J].Quarterly Journal of Economics，2009, 124(4): 1403-1448.[18] 刘志成.要素市场化配置的主要障碍与改革对策[J].经济纵横，2019，35(3)：93-101.[19] 叶祥松，刘敬.异质性研发、政府支持与中国科技创新困境[J].经济研究，2018，53(9)：116-132.[20] 赵增耀，章小波，沈能.区域协同创新效率的多维溢出效应[J].中国工业经济，2015,32(1)：32-44.[21] 孟卫东，王清.区域创新体系科技资源配置效率影响因素实证分析[J].统计与决策，2013，39(4)：96-99.[22] SON H，CHUNG Y，HWANG H，et al.Do technology entrepreneurship and external relationships always promote technology transfer？evidence from Korean public research organizations[J].Technovation，2019，82-83：1-15.[23] 林青宁，温焜，毛世平.创新模式对农业科研院所研发效率的影响[J].科技进步与对策，2018，35(12)：64-68.[24] 原毅军，黄菁菁.FDI、产学研合作与区域创新产出——基于互补性检验的实证研究[J].研究与发展管理，2016，28(6)：38-47.[25] 曾海鹰，任登鸿.区域开放度指标体系研究及测算[J].经济问题探索，2007，28(9)：15-19.[26] FISS P C.Building better causal theories：a fuzzy set approach to typologies in organization research[J].Academy of Management Journal，2011，54(2)：393-420.[27] RAGIN C C.Redesigning social inquiry：fuzzy sets and beyond[M].Chicago：University of Chicago Press，2008.[28] RAGINCC，DRASSKA，DAVEYS.Fuzzy-set／qualitative comparative analysis 2.0.Tucson：Department of Sociology[M].Arizona:University of Arizona，2006.[29] 王淑强，青秀玲，王晶，等.基于文献计量方法的国际地理科学研究机构竞争力分析[J].地理学报，2017，72(9)：1702-1716.[30] ZHANG D Q，BANKER R D，Li X X，et al.Performance impact of research policy at the Chinese Academy of Sciences[J].Research Policy，2011，40(6)：875-885.[31] SCHNEIDER CQ，WAGEMANNC.Set-theoretic methods for the social sciences：aguide to qualitative comparative analysis[M].Cambridge：Cambridge University Press，2012.[32] 杜运周，贾良定.组态视角与定性比较分析(QCA)：管理学研究的一条新道路[J].管理世界，2017，33(6)：155-167. |
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