China's R&D Production Efficiency and Impact Factors

Shixiong Cheng () and Jianping Liu
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Shixiong Cheng: Business School, Hubei University. 368 Youyi Avenue, Wuhan 430062, Hubei, P.R. China
Jianping Liu: Business School, Hubei University. 368 Youyi Avenue, Wuhan 430062, Hubei, P.R. China

Transnational Corporations Review, 2014, vol. 6, issue 4, 362-378

Abstract: This paper selects Chinese industrial sectors as research objects, based on the R&D capital as divided into the R&D capital in the same sector in the same countries, the R&D capital in the same sector in other countries which we selects in OECD STAN database, the R&D capital in the other sectors in the same countries, the R&D capital in the other sectors in other countries, firstly using the knowledge production function model and stochastic frontier production function method to empirically study the R&D production efficiency in the Chinese industrial sector, then to study how the factors of industry technical level, ownership structure, human capital, degree of trade openness, technology gap ,degree of industry competition, and physical capital stock impact R&D production efficiency. It concludes that except the R&D capital in the other sectors in other countries, the other three R&D capitals have a significant positive impact on R&D production efficiency. Furthermore, the factors of the degree of trade openness, technology gap, and physical capital stock have a significant positive impact on R&D production efficiency¡Aand the human capital and industry competition degree do not have a significant positive impact on R&D production efficiency. As for the industry characteristics, the technical efficiency in high-tech industries is lower than that in non-high-tech industries and the R&D output efficiency differs little between state-owned business and non-state-owned business.

Keywords: R&D input; production efficiency; knowledge production function; stochastic frontier production function (search for similar items in EconPapers)
Date: 2014
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