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Research on the Disequilibrium Development of Output of Regional Innovation Based on R&D Personnel

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  • Xinbao Tian

    (School of economics and management, Shanxi University, Taiyuan 030006, China)

  • Jiguang Wang

    (School of economics and management, Shanxi University, Taiyuan 030006, China)

Abstract

Regional innovation is of great significance to the sustainable development of a regional economy. However, there exists a disequilibrium development of output of regional innovation in China, which affects the imbalance of regional economic development to a certain extent. In order to explore the process and mechanism of the disequilibrium development in regional innovation, a new perspective is adopted in this paper to analyze the index of R&D (research and development) personnel, which is an important input element of regional innovation output. The regional samples, including 31 provinces in China, are divided into three parts: eastern region, central region, and western region. First, developing the tendency and speed of the disequilibrium of regional innovation output are analyzed by using σ convergent model and β convergent model, respectively, during the period of analyzing the process of the disequilibrium development. Then, the LMDI (logarithmic mean Divisia index) method is used to analyze the character of regional innovation output by using R&D personnel as an important endogenous factor during the period of analyzing the mechanism of the disequilibrium development. At last, we draw the conclusion of the study. We find that: (i) there is a gap in the absolute amount between regions in a long term, but the gap between regions is shrinking and the speed of catching up between regions is different; (ii) the efficiency of R&D personnel is the most positive effect of promoting equilibrium.

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  • Xinbao Tian & Jiguang Wang, 2018. "Research on the Disequilibrium Development of Output of Regional Innovation Based on R&D Personnel," Sustainability, MDPI, vol. 10(8), pages 1-14, August.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:8:p:2708-:d:161376
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    3. Qi Jun & Hasan Dinçer & Serhat Yüksel, 2021. "Stochastic hybrid decision‐making based on interval type 2 fuzzy sets for measuring the innovation capacities of financial institutions," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 573-593, January.
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    5. Weixiu Li & Bo Li, 2023. "Intellectual Property Pledge Financing and Enterprise Innovation: Based on the Perspective of Signal Incentive," Sustainability, MDPI, vol. 15(13), pages 1-21, July.

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