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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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    1. Richard Heidler & Olof Hallonsten, 2015. "Qualifying the performance evaluation of Big Science beyond productivity, impact and costs," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 295-312, July.
    2. Olof Hallonsten, 2014. "How expensive is Big Science? Consequences of using simple publication counts in performance assessment of large scientific facilities," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 483-496, August.
    3. Freeman, C., 1991. "Networks of innovators: A synthesis of research issues," Research Policy, Elsevier, vol. 20(5), pages 499-514, October.
    4. Cristina Chaminade & Bengt-åke Lundvall & Jan Vang & K. J. Joseph, 2009. "Designing Innovation Policies for Development: Towards a Systemic Experimentation-based Approach," Chapters, in: Bengt-Åke Lundvall & K. J. Joseph & Cristina Chaminade & Jan Vang (ed.), Handbook of Innovation Systems and Developing Countries, chapter 13, Edward Elgar Publishing.
    5. Lynn, Leonard H. & Mohan Reddy, N. & Aram, John D., 1996. "Linking technology and institutions: the innovation community framework," Research Policy, Elsevier, vol. 25(1), pages 91-106, January.
    6. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
    7. Bengt-Åke Lundvall & K. J. Joseph & Cristina Chaminade & Jan Vang (ed.), 2009. "Handbook of Innovation Systems and Developing Countries," Books, Edward Elgar Publishing, number 12943.
    8. Motohashi, Kazuyuki & Yun, Xiao, 2007. "China's innovation system reform and growing industry and science linkages," Research Policy, Elsevier, vol. 36(8), pages 1251-1260, October.
    9. Carlo Pietrobelli & Roberta Rabellotti, 2009. "The Global Dimension of Innovation Systems: Linking Innovation Systems and Global Value Chains," Chapters, in: Bengt-Åke Lundvall & K. J. Joseph & Cristina Chaminade & Jan Vang (ed.), Handbook of Innovation Systems and Developing Countries, chapter 8, Edward Elgar Publishing.
    10. Olof Hallonsten & Thomas Heinze, 2013. "From particle physics to photon science: Multi-dimensional and multi-level renewal at DESY and SLAC," Science and Public Policy, Oxford University Press, vol. 40(5), pages 591-603, March.
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    Cited by:

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    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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