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Scientific effects of large research infrastructures in China

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  • Qiao, Lili
  • Mu, Rongping
  • Chen, Kaihua

Abstract

Large research infrastructures (RIs) are expected to play an important role in the development of scientific activities in China and the construction of China's national scientific systems. However, few studies have been devoted to the systematic evaluation of the scientific effects of China's RIs. This paper attempts to fill this gap by designing a comprehensive analytical framework composed of the input-side, output-side, process-side and environment-side effects of RIs on scientific activities. The analysis is implemented based on a novel sample composed of nine of China's typical RIs. More specifically, this paper classified these nine Chinese RIs into the following three types according to their functions: dedicated research infrastructure, public experimental platform and public infrastructure. Furthermore, this paper analyzes the features of the scientific effects of these RIs in terms of the following four typical scientific effects: science and technology advancement effect, capability cultivation effect, networking effect and clustering effect. In addition to the finding that RIs have promoted scientific advancements in many disciplines in China, the study found that RIs are important to the acquisition of new knowledge, and also contribute to the propagation of competitive scientific organizations and scientific talent. Networking and clustering impacts are also important scientific effects of RIs, as they increase the effectiveness of scientific activities in China. This paper not only contributes to developing an analytical framework for evaluating the functions and effects of large RIs but also presents evidence regarding the development of large RIs in emerging countries.

Suggested Citation

  • Qiao, Lili & Mu, Rongping & Chen, Kaihua, 2016. "Scientific effects of large research infrastructures in China," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 102-112.
    • Handle: RePEc:eee:tefoso:v:112:y:2016:i:c:p:102-112
    DOI: 10.1016/j.techfore.2016.07.029
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    References listed on IDEAS

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    Cited by:

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    3. Kyoungmi Lee & Sunglok Choi & Jae-Suk Yang, 2021. "Can expensive research equipment boost research and development performances?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7715-7742, September.
    4. Sarpong, David & Boakye, Derrick & Ofosu, George & Botchie, David, 2023. "The three pointers of research and development (R&D) for growth-boosting sustainable innovation system," Technovation, Elsevier, vol. 122(C).
    5. Thiago Caliari & Márcia Siqueira Rapini & Tulio Chiarini, 2020. "Research infrastructures in less developed countries: the Brazilian case," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 451-475, January.
    6. Wu, Yunna & Yong, Xingkai & Tao, Yao & Zhou, Jianli & He, Jiaming & Chen, Wenjun & Yang, Yingying, 2023. "Investment monitoring key points identification model of big science research infrastructures -- Fuzzy BWM-entropy-PROMETHEE Ⅱ method," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    7. D’Ippolito, Beatrice & Rüling, Charles-Clemens, 2019. "Research collaboration in Large Scale Research Infrastructures: Collaboration types and policy implications," Research Policy, Elsevier, vol. 48(5), pages 1282-1296.
    8. David Eggleton, 2020. "Tailoring Leadership to the Phase-Specific Needs of Large Scale Research Infrastructures," SPRU Working Paper Series 2020-15, SPRU - Science Policy Research Unit, University of Sussex Business School.

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