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Spatiotemporal Evolution and the Influencing Factors of China’s High-Tech Industry GDP Using a Geographical Detector

Author

Listed:
  • Yuan Shan

    (Shaanxi Key Laboratory of Surface System and Environmental Carrying Capacity, Xi’an 710127, China
    Institute of Surface Systems and Hazards, College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China)

  • Ninglian Wang

    (Shaanxi Key Laboratory of Surface System and Environmental Carrying Capacity, Xi’an 710127, China
    Institute of Surface Systems and Hazards, College of Urban and Environmental Sciences, Northwest University, Xi’an 710127, China
    Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

With the rapid advancement of global technology, high-tech industries have become key drivers for the economic growth of many nations and regions. This study delves into the spatiotemporal dynamics and determinants influencing China’s high-tech sector from 2007 to 2021. The key findings include the following: (1) Nationally, the high-tech sector has been a cornerstone for China’s GDP growth over the preceding 15 years. The expansion rate of the high-tech domain consistently outpaces the broader economy. In particular, since 2015, the percentage of high-tech industries’ GDP has surged to approximately 42%. (2) At the provincial level, the spatial representation of the high-tech sector’s GDP predominantly leans towards the east and the south, revealing pronounced spatial autocorrelation. Nevertheless, the demarcations between east and west and between north and south are progressively diminishing. (3) Regarding influential determinants, R&D internal expenditure, operating revenue, and industry agglomeration have been instrumental in spearheading innovation and bolstering growth within the high-tech realm. These insights are invaluable for comprehending the evolutional nuances of China’s high-tech industry and devising pertinent policy measures.

Suggested Citation

  • Yuan Shan & Ninglian Wang, 2023. "Spatiotemporal Evolution and the Influencing Factors of China’s High-Tech Industry GDP Using a Geographical Detector," Sustainability, MDPI, vol. 15(24), pages 1-18, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:24:p:16678-:d:1296695
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    References listed on IDEAS

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    2. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
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