Assessment of the Drivers and Effects of International Science and Technology Cooperation in Xinjiang in the Context of the Belt and Road Initiative

Fei Wang, Zhi Dong and Jichang Dong ()
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Fei Wang: University of Chinese Academy of Sciences, 80 Zhongguancun East Road, Haidian District, Beijing 100190, China
Zhi Dong: University of Chinese Academy of Sciences, 80 Zhongguancun East Road, Haidian District, Beijing 100190, China
Jichang Dong: University of Chinese Academy of Sciences, 80 Zhongguancun East Road, Haidian District, Beijing 100190, China

Sustainability, 2023, vol. 15, issue 2, 1-20

Abstract: International science and technology (S&T) cooperation is one of the important ways to ensure the continuous development of a national innovation system. “One Belt One Road” advocates the concepts of common business, common construction, and sharing, and new countries and regions are constantly added. However, different countries/regions have different natural and socio-economic characteristics, so the main controlling factors affecting their international S&T cooperation may not be the same. Therefore, this paper uses a combination of multi-source data and multiple methods to collectively construct an assessment model of the driving effect of international S&T cooperation in Xinjiang. The evaluation results of the entropy-weighted TOPSIS model show that the contributions of S&T level, city nature, and S&T investment to international S&T cooperation in Xinjiang are 22.9%, 22.3%, and 20.4%, respectively. Singapore, Germany, and Russia are the top three countries in terms of the effectiveness of international S&T cooperation with Xinjiang. The results of the STIRPAT model show that the total number of R&D personnel and the number of R&D personnel per 1000 workers are the main factors affecting the driving effect of international S&T cooperation. The former can be regarded as the stabilizer of international S&T cooperation. This paper’s findings can provide theoretical support for the efficient integration of diverse advantageous resources among cooperating subjects.

Keywords: international science and technology cooperation; driving factors; effectiveness study; Xinjiang (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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