دانلود رایگان مقاله اثرات علمی زیرساخت های تحقیقاتی بزرگ در چین

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 environmentside 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.

5. Conclusions and policy implications

5.1. Conclusions Research infrastructures (RIs) are expected to play an important role in economic and social development. This paper comprehensively evaluates the impact of RIs on scientific activities using typical Chinese cases. To achieve this research purpose, this paper proposed a multidimensional analytical framework for evaluating the scientific effects of RIs in terms of the S&T advancement effect, the capability cultivation effect, the clustering effect, and the networking effect. Our analytical framework can provide a comprehensive evaluation of the scientific effects of RIs in terms of their input-side, output-side, process-side and environment-side impacts on scientific activities. Based on a multi-case analysis of China's typical RIs, our quantitative and qualitative analyses have presented a range of evidence regarding the development effects of RIs in an emerging country