Evaluation of China’s innovative potential and its temporal and spatial evolution and convergence analysis

In this study, the entropy weight method, the α convergence model, the absolute β convergence model and the conditional β convergence model are used to evaluate the 31 provinces’ innovative potential in China from 2011 to 2022. It is found that the innovative potential in nationwide China and in various regions are all increasing year by year, and the innovative potential in the eastern region is obviously better than that in the central region and western region. No matter considering the influence of external factors or not, the gap of innovative potential among provinces in different regions will gradually expand over time, with the largest gap among provinces in the eastern region, followed by the central region and the smallest in the western region. The conclusion of this study is instructive to enhance the innovative potential of China and promote the balanced development of regional innovative potential in China.

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Publication Details

Journal
Journal of Infrastructure Policy and Development
Published
2024-08-15
DOI
https://doi.org/10.24294/jipd.v8i8.5590
Primary Topic
Regional Economic and Spatial Analysis
Type
article
Field-Weighted Citation Impact
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article

Evaluation of China’s innovative potential and its temporal and spatial evolution and convergence analysis

Yue Liu, Aleksei Ivanovich Bolonin
Journal of Infrastructure Policy and Development
Regional Economic and Spatial Analysis
article

Evaluation of China’s innovative potential and its temporal and spatial evolution and convergence analysis

Yue Liu, Aleksei Ivanovich Bolonin
article en

Abstract

In this study, the entropy weight method, the α convergence model, the absolute β convergence model and the conditional β convergence model are used to evaluate the 31 provinces’ innovative potential in China from 2011 to 2022. It is found that the innovative potential in nationwide China and in various regions are all increasing year by year, and the innovative potential in the eastern region is obviously better than that in the central region and western region. No matter considering the influence of external factors or not, the gap of innovative potential among provinces in different regions will gradually expand over time, with the largest gap among provinces in the eastern region, followed by the central region and the smallest in the western region. The conclusion of this study is instructive to enhance the innovative potential of China and promote the balanced development of regional innovative potential in China.

Journal of Infrastructure Policy and DevelopmentVol. 8(8)
Peoples' Friendship University of Russia (RU)
Industry, innovation and infrastructure
Openalex Percentile: Top 83%
Regional Economic and Spatial Analysis
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