中国地理科学 ›› 2021, Vol. 31 ›› Issue (4): 646-658.doi: 10.1007/s11769-021-1214-8

• 论文 • 上一篇    

Spatio-temporal Evolution Characteristics and Driving Mechanism of the New Infrastructure Construction Development Potential in China

GU Tianshi, ZHANG Peng, ZHANG Xujia   

  1. College of Geography Science of Harbin Normal University, Harbin 150025, China
  • 收稿日期:2021-01-15 发布日期:2021-06-28
  • 通讯作者: ZHANG Peng E-mail:gutianshibangong@163.com;zhangp575@nenu.edu.cn
  • 基金资助:
    under the auspices of the National Natural Science Foundation of China (No. 41601553), the Heilongjiang Province General Undergraduate High School Youth Innovation Talent Training Program Project (No. UN-PYSCT-2017193, UN-PYSCT-2017184), the Harbin Normal University Ph.D. Startup Fund Project (No. XKB201815)

Spatio-temporal Evolution Characteristics and Driving Mechanism of the New Infrastructure Construction Development Potential in China

GU Tianshi, ZHANG Peng, ZHANG Xujia   

  1. College of Geography Science of Harbin Normal University, Harbin 150025, China
  • Received:2021-01-15 Published:2021-06-28
  • Contact: ZHANG Peng E-mail:gutianshibangong@163.com;zhangp575@nenu.edu.cn
  • Supported by:
    under the auspices of the National Natural Science Foundation of China (No. 41601553), the Heilongjiang Province General Undergraduate High School Youth Innovation Talent Training Program Project (No. UN-PYSCT-2017193, UN-PYSCT-2017184), the Harbin Normal University Ph.D. Startup Fund Project (No. XKB201815)

摘要: With the advent of the era of big data and artificial intelligence, new infrastructure construction (NIC) has attracted the attention of many countries. The development of NIC provides an opportunity to bridge the digital divide and narrow the regional gap, providing continuous impetus to further promote economic development. Here, we considered 31 provincial-level administrative units in China (not including Hong Kong, Macao, and Taiwan of China due to data unavailable) and established comprehensive evaluation indicators for the development potential of NIC. Afterward, we used the entropy-weight TOPSIS model to determine the development potential of NIC and analyze its spatio-temporal evolution characteristics. Furthermore, the GeoDetector model was applied to explore the driving mechanism of the NIC development potential. The conclusions were as follows: 1) The Chinese NIC development potential is generally low. The eastern China was the region with the highest development potential year by year, while the development potential in the central China was found to be in an accelerating phase. 2) The evolution of the Chinese NIC development potential’s spatial pattern has been characterized by an inland extension and coastal agglomeration. Moreover, we identified a superior development zone, a rising development zone, an inferior development zone, and a declining development zone. 3) The scope of Chinese NIC development potential agglomeration areas has gradually expanded and its degree has gradually deepened. The range of high-value agglomeration in eastern area gradually expanded and its degree gradually deepened. 4) Investment in innovative talents appears as the core factor affecting the Chinese NIC development potential. Whether acting alone or synergistically with other factors, its promoting effect on Chinese NIC development potential is the strongest.

关键词: new infrastructure construction, development potential, spatio-temporal evolution, driving mechanism, China

Abstract: With the advent of the era of big data and artificial intelligence, new infrastructure construction (NIC) has attracted the attention of many countries. The development of NIC provides an opportunity to bridge the digital divide and narrow the regional gap, providing continuous impetus to further promote economic development. Here, we considered 31 provincial-level administrative units in China (not including Hong Kong, Macao, and Taiwan of China due to data unavailable) and established comprehensive evaluation indicators for the development potential of NIC. Afterward, we used the entropy-weight TOPSIS model to determine the development potential of NIC and analyze its spatio-temporal evolution characteristics. Furthermore, the GeoDetector model was applied to explore the driving mechanism of the NIC development potential. The conclusions were as follows: 1) The Chinese NIC development potential is generally low. The eastern China was the region with the highest development potential year by year, while the development potential in the central China was found to be in an accelerating phase. 2) The evolution of the Chinese NIC development potential’s spatial pattern has been characterized by an inland extension and coastal agglomeration. Moreover, we identified a superior development zone, a rising development zone, an inferior development zone, and a declining development zone. 3) The scope of Chinese NIC development potential agglomeration areas has gradually expanded and its degree has gradually deepened. The range of high-value agglomeration in eastern area gradually expanded and its degree gradually deepened. 4) Investment in innovative talents appears as the core factor affecting the Chinese NIC development potential. Whether acting alone or synergistically with other factors, its promoting effect on Chinese NIC development potential is the strongest.

Key words: new infrastructure construction, development potential, spatio-temporal evolution, driving mechanism, China