| 科学研究的规模经济悖论与多维绩效分析 |
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| 引用本文： | 科学研究的规模经济悖论与多维绩效分析.科学研究的规模经济悖论与多维绩效分析[J].科学学研究,2021,39(10):1758-1769. |
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| 作者姓名： | 科学研究的规模经济悖论与多维绩效分析 |
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| 作者单位： | 武汉大学经济与管理学院,湖北武汉430072;昆明理工大学管理与经济学院,云南昆明650093 |
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| 摘 要： | 针对研究生大规模扩招和中美贸易战引发社会各界对中国“科技水平低下”和“科技成果无用”的批判与争论,运用OECD国家数据对比后提炼出科学研究的规模经济悖论这一具有中国特色的重要问题,基于创新价值链和科学研究的典型特征提出了一个理论框架。然后,分别从微观、中观和宏观上全面梳理科技人才与创新绩效、经济绩效、社会绩效和国际绩效的多维研究成果,并提出了相应的研究命题。鉴于现有研究存在对人才异质性和结构性挖掘不深、隐性绩效关注不够、成果和主体差异性考虑不全面、作用机制和边界条件不清晰四个方面的不足,未来研究要强化微观层面的研究、丰富隐性绩效指标、开展多类型多层次多制度的交叉研究以及分层分类辨析科技投入产出指标间的作用机制和边界条件。不考虑成果类型和绩效结构等因素,仅凭经济绩效指标批评中国“科技水平低下”和“科技成果无用”是不科学的。
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| 关 键 词： | 科学研究 人力规模 规模经济 悖论 绩效 |
| 收稿时间： | 2020-07-20 |
The Paradox of Scale Economies and Multi-dimensional Performance Analysis of Scientific Research |
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| Abstract: | With the world’s largest number of researchers and second largest investment in scientific research, China has achieved remarkable results in both quantity and quality of innovations. However, the US-China trade war and the ZTE incident have shown that China's scientific prowess is not as dazzling as what statistics show, which has triggered criticism and controversy from all walks of life on China's "low level of science and technology" and "uselessness of scientific and technological achievements". Why is there a considerable discrepancy between statistics and reality? In order to answer this question, first, we extract the paradox of economy of scale in scientific research, an significant issue with Chinese characteristics, by comparing the data among OECD countries. Then, we propose a theoretical framework based on the innovation value chain and the typical characteristics of scientific research. And under this framework, we present a multi-level research on S&T talents and innovation performance at micro, meso plus macro levels, and comprehensively work through the multi-dimensional research results on the relationship between S&T talents and innovation performance, economic performance, social performance plus international performance, putting forward the following research propositions: (1) There may be an inverted U-shaped relationship between the scale of S&T talents and innovation quantity. (2) There may be a positive relationship between the scale of S&T talents and innovation quality. (3) There may be an inverted U-shaped relationship between the scale of S&T talents and economic performance. (4) There may be a positive relationship between the scale of S&T talents and social performance. (5) There may be an inverted U-shaped relationship between the scale of S&T talents and international performance. On this basis, this article points out the available research has four shortcomings: insufficient exploration of talent heterogeneity and structure, insufficient attention to tacit performance, incomplete consideration of outcome and subject differences, unclear mechanism and boundary conditions. For this reason, we suggest that future research should be carried out from the following aspects: (1) Fully consider the diversity and multi-tier of input-output indicators and strengthen micro-level research. Based on the subdivision of S&T talents in different regions, subjects, types, structures and levels, we should study the heterogeneous relationship between the accumulation of S&T talents and different types of performance, comprehensively analyze the differentiated results among different indicators, and explore the mechanism and boundary conditions of the complex relationship to provide solid theoretical evidence for more precise formulation of S&T talents support policies and the realization of the optimal allocation of scientific research resources. (2) Enrich the tacit performance indicators and explore the synergistic effect plus transformation mechanism among different performances. (3) Conduct crossover study on multiple types, levels, and systems to clarify the functions and positions of different subjects. (4) Discern the acting mechanism and boundary conditions among S&T innovation inputs and outputs in the condition of hierarchical classification. Finally, we consider that it is not convincing to criticize China's "low level of science and technology" and "uselessness of scientific and technological achievements" merely based on economic performance indicators without considering the type of outcomes and performance structure. |
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