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Intelligence level evaluation and influencing factors analysis of equipment manufacturing industry in the Yangtze River Delta

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  • Ping Zhou
  • Jin Xiang
  • Decai Tang
  • Jiannan Li
  • Bright Obuobi

Abstract

The Yangtze River Delta (YRD) bears the vital task of driving the growth of China’s equipment manufacturing industry (EMI) intelligence as an advanced region. Fostering the transformation and upgrading of the EMI in the YRD and constructing a modern production mode is vital to developing and reforming China’s manufacturing industry. This paper uses industrial robot data to assess the level of intelligence (LoI) in the EMI from 2016 to 2019. The OLS (ordinary least squares) model is used for the measurements, and the MQ (the modified contribution index) is used to estimate the degree of contribution from a host of variables. It is identified that the LoI is on the rise. However, excluding railways, aerospace, shipbuilding, and other transportation equipment manufacturing, the LoI is significantly higher than in other subsectors. It is also identified that technological innovation ability, human capital density, and enterprise cost pressure govern the industry’s LoI. Moreover, while there is a difference in the main influencing factors in LoI within different industries, R&D investment, technological innovation ability, and enterprise cost pressure have the most significant impact across most equipment manufacturing sub-industries.

Suggested Citation

  • Ping Zhou & Jin Xiang & Decai Tang & Jiannan Li & Bright Obuobi, 2024. "Intelligence level evaluation and influencing factors analysis of equipment manufacturing industry in the Yangtze River Delta," PLOS ONE, Public Library of Science, vol. 19(4), pages 1-26, April.
    • Handle: RePEc:plo:pone00:0299119
    DOI: 10.1371/journal.pone.0299119
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    References listed on IDEAS

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    1. Yao Wang & Meilin Zhu & Xiaodong Meng, 2023. "Spatial impacts of the intercity flow of long stay international visitors based on mobile phone data in Yangtze River Delta, China," PLOS ONE, Public Library of Science, vol. 18(9), pages 1-27, September.
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