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A Study of RI Clusters Based on Symbiosis Theory

Author

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  • Wenchao Xu

    (School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China
    National Center for Materials Service Safety, University of Science and Technology Beijing, Beijing 100083, China)

  • Yanmei Xu

    (School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China)

  • Junfeng Li

    (National Center for Materials Service Safety, University of Science and Technology Beijing, Beijing 100083, China)

Abstract

Research infrastructure (RI) refers to a large and complex science research facility or system that conducts top-level science activities. In recent years, there has been a tendency toward geographical concentration of RIs and formation of RI clusters. Some of these RI clusters have become engines for regional social and economic development. It turns out that RI clusters present a new stage for RI sustainable development. The present paper tries to study RI clusters based on symbiosis theory in order to build an analytical framework for policy makers’ comprehensive understanding of RI clusters. Following the analytical framework, we study the symbiosis system and the symbiosis structures of an RI cluster by analyzing its major characteristics. In order to achieve a balanced symbiotic situation, a competitive model and a symbiosis model are proposed based on the Logistic Model. The analysis is grounded in the samples of China’s typical RI clusters and other cases in the world to give a vivid and convincing illustration. During the analysis process, an RI cluster is regarded as a complex ecological system and the organization and management of units in the cluster is the focus of the study. The authors hope that the paper will supplement the existing literature, which mainly focuses on the technological problems and the evaluation of RI’s socioeconomic effects, in the sense of a systematical analysis of the management problem of RI.

Suggested Citation

  • Wenchao Xu & Yanmei Xu & Junfeng Li, 2017. "A Study of RI Clusters Based on Symbiosis Theory," Sustainability, MDPI, vol. 9(3), pages 1-13, March.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:3:p:396-:d:92431
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    References listed on IDEAS

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    1. D. Rachel Lombardi & Peter Laybourn, 2012. "Redefining Industrial Symbiosis," Journal of Industrial Ecology, Yale University, vol. 16(1), pages 28-37, February.
    2. 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.
    3. Del Bo, Chiara F., 2016. "The rate of return to investment in R&D: The case of research infrastructures," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 26-37.
    4. 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.
    5. Evans, Lyn, 2016. "Particle accelerators at CERN: From the early days to the LHC and beyond," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 4-12.
    6. Battistoni, Giuseppe & Genco, Mario & Marsilio, Marta & Pancotti, Chiara & Rossi, Sandro & Vignetti, Silvia, 2016. "Cost–benefit analysis of applied research infrastructure. Evidence from health care," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 79-91.
    7. Florio, Massimo & Sirtori, Emanuela, 2016. "Social benefits and costs of large scale research infrastructures," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 65-78.
    8. Merle Jacob & Olof Hallonsten, 2012. "The persistence of big science and megascience in research and innovation policy," Science and Public Policy, Oxford University Press, vol. 39(4), pages 411-415, July.
    9. Jian Zhang & Michael S. Vogeley & Chaomei Chen, 2011. "Scientometrics of big science: a case study of research in the Sloan Digital Sky Survey," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 1-14, January.
    10. Olof Hallonsten, 2013. "Introducing ‘facilitymetrics’: a first review and analysis of commonly used measures of scientific leadership among synchrotron radiation facilities worldwide," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 497-513, August.
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    Cited by:

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