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

Yuan Shan and Ninglian Wang ()
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Yuan Shan: Shaanxi Key Laboratory of Surface System and Environmental Carrying Capacity, Xi’an 710127, China
Ninglian Wang: Shaanxi Key Laboratory of Surface System and Environmental Carrying Capacity, Xi’an 710127, China

Sustainability, 2023, vol. 15, issue 24, 1-18

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.

Keywords: high-tech industry; GDP; geographical detector; spatial autocorrelation; evolutionary characteristics (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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