• Medientyp: E-Book
  • Titel: Spatial-Temporal Evolution Analysis of Industrial Green Technological Innovation Efficiency in the Yangtze River Economic Belt
  • Beteiligte: yao, meng chao [VerfasserIn]; duan, jin jun [VerfasserIn]; wang, qing song [VerfasserIn]
  • Erschienen: [S.l.]: SSRN, 2022
  • Umfang: 1 Online-Ressource (19 p)
  • Sprache: Englisch
  • DOI: 10.2139/ssrn.4102893
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  • Beschreibung: Green technology innovation has become an essential engine for green transformation and high-quality economic growth in the Yangtze River Economic Belt as the integration point of green development and innovation-driven. Based on the non-radial, non-angle Super-SBM model and GML index model, this paper calculates the industrial green technology innovation efficiency of 110 cities in the Yangtze River Economic Belt from 2006 to 2020. Using exploratory spatial data analysis (ESDA) reveals its spatial differentiation characteristics. Then, Kernel density estimation and spatial Markov chain are used to explore the convergence characteristics and dynamic evolution law of industrial green technology innovation efficiency in the Yangtze River Economic Belt. The results show that: (1) On the whole, the industrial green innovation efficiency of the Yangtze River Economic Belt shows a trend of the 'N' type, which increases slowly first and then decreases and then increases, and shows a non-equilibrium feature of 'east high and west low' in space. (2) The average GML index of industrial green technological innovation efficiency in the Yangtze River Economic Belt is greater than 1, and technological progress is the main driving force for efficiency growth. Technological progress and technological efficiency vary significantly in different regions. (3) During the study period, industrial green technology innovation efficiency in the Yangtze River Economic Belt has been continuously improved. The absolute difference between regions has a trend of 'expansion-reduction-expansion'. The number of peaks has gradually changed from the initial 'double peaks' to 'single peaks', and the innovation efficiency has slowly converged to a single equilibrium point. (4) The industrial green technological innovation efficiency transfer in the Yangtze River Economic Belt shows a specific spatial dependence. The influence of different types of neighborhood spatial lag on surrounding cities is significantly different. Accordingly, policy suggestions are put forward to improve further the level of industrial green technological innovation in the Yangtze River Economic Belt
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