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Measuring China's Innovation System: National Specificities and International Comparisons

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  • Martin Schaaper

    (OECD)

Abstract

This working paper provides input to the OECD Review of Innovation Policy for China (OECD, 2008), which was released in September 2008. Science and technology (S&T) have been pinpointed by the Chinese State Council as a key driving force for sustainable economic growth and the transformation of China into an innovation-oriented nation on the basis of the development of a national innovation system with strong indigenous innovation capacity. One of the targets set in the National Guidelines for the Medium- and Long-term Plan for Science and Technology Development (2006-20) is to raise the ratio of R&D to GDP to 2% by 2010 and to 2.5% or more by 2020. This is an extremely ambitious target, as it implies the need for R&D expenditure to increase by at least 10-15% annually. Évaluation du système d'innovation de la Chine : Spécificités nationales et comparaisons internationales Ce document de travail est une contribution à la Revue de l’OCDE sur les politiques d’innovation pour la Chine (OCDE, 2008) qui a été publiée en septembre. La science et la technologie (S-T) ont été identifiées par le Conseil d’État chinois comme étant des ressorts essentiels pour l’instauration d’une croissance économique durable et la transformation de la Chine en un pays orienté vers l’innovation grâce à la mise en oeuvre d’un système national d’innovation doté d’une solide capacité d’innovation propre. Les lignes directrices nationales pour les programmes à moyen et long termes de développement de la science et de la technologie (2006-2020) ont notamment pour objectif de porter la R-D à 2 % du PIB d’ici 2010 et à 2,5 % ou plus d’ici 2020. Il s’agit là d’un objectif extrêmement ambitieux qui suppose que les dépenses de R-D augmentent d’au moins 10 à 15 % par an de manière continue.

Suggested Citation

  • Martin Schaaper, 2009. "Measuring China's Innovation System: National Specificities and International Comparisons," OECD Science, Technology and Industry Working Papers 2009/1, OECD Publishing.
  • Handle: RePEc:oec:stiaaa:2009/1-en
    DOI: 10.1787/227277262447
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    Cited by:

    1. Zhou, Xiaoxiao & Jia, Mengyu & Li, Wenqing & Zhao, Xin & Gatto, Andrea & Ma, Xiaowei, 2024. "Higher education or scientific research: Which one contributes more to China's green innovation?," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
    2. Shi, Xing & Wu, Yanrui, 2019. "Evolution of product-embodied R&D in China," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 324-333.
    3. Wunsch-Vincent, Sacha & Kashcheeva, Mila & Zhou, Hao, 2015. "International patenting by Chinese residents: Constructing a database of Chinese foreign-oriented patent families," China Economic Review, Elsevier, vol. 36(C), pages 198-219.
    4. Xiong, Ailun & Xia, Senmao & Ye, Zhen Peter & Cao, Dongmei & Jing, Yanguo & Li, Hongyi, 2020. "Can innovation really bring economic growth? The role of social filter in China," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 50-61.
    5. Dahai Fu & Yanrui Wu & Yihong Tang, 2012. "Does Innovation Matter for Chinese High-Tech Exports? A Firm-Level Analysis," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 7(2), pages 218-245, June.
    6. Riccardo Crescenzi & Andrés Rodríguez-Pose & Michael Storper, 2012. "The territorial dynamics of innovation in China and India," Journal of Economic Geography, Oxford University Press, vol. 12(5), pages 1055-1085, September.
    7. Riccardo Crescenzi & Andrés Rodríguez-Pose, 2012. "An ‘Integrated’ Framework For The Comparative Analysis Of The Territorial Innovation Dynamics Of Developed And Emerging Countries," Journal of Economic Surveys, Wiley Blackwell, vol. 26(3), pages 517-533, July.
    8. Lundvall, Bengt-Åke & Rikap, Cecilia, 2022. "China's catching-up in artificial intelligence seen as a co-evolution of corporate and national innovation systems," Research Policy, Elsevier, vol. 51(1).
    9. Shangui Peng & Jian Wang & Hao Sun & Zhengning Guo, 2022. "How Does the Spatial Misallocation of Land Resources Affect Urban Industrial Transformation and Upgrading? Evidence from China," Land, MDPI, vol. 11(10), pages 1-22, September.
    10. Chen, Kaihua & Guan, Jiancheng, 2011. "Mapping the functionality of China's regional innovation systems: A structural approach," China Economic Review, Elsevier, vol. 22(1), pages 11-27, March.
    11. Tao, Zhuang & Shuliang, Zhao, 2022. "Collaborative innovation relationship in Yangtze River Delta of China: Subjects collaboration and spatial correlation," Technology in Society, Elsevier, vol. 69(C).

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