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An Evaluation of the Yangtze River Economic Belt Manufacturing Industry Level of Intelligentization and Influencing Factors: Evidence from China

Author

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  • Decai Tang

    (China Institute of Manufacturing Development, Nanjing University of Information Science & Technology, Nanjing 210044, China
    School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Luxia Wang

    (School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Brandon J. Bethel

    (School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China)

Abstract

Over recent decades, the application of artificial intelligence methods in manufacturing has led to new spheres of research such as the Internet of Things, Cyber–Physical Systems, and Cloud Computing and Big Data, leading to the so-called Industry 4.0. However, to date, little research has been geared towards assessing the factors that influence intelligent manufacturing on a regional scale. Addressing this problem, this paper constructs an evaluation index system for the Yangtze River Economic Belt (YREB) intelligent manufacturing sector using eleven years (2008–2018) of provincial panel data. The entropy method is applied to three evaluation criteria, namely intelligent innovation, equipment, and profit, to construct an evaluation index system. An analysis of the results revealed that the level intelligentization of the manufacturing industry of the YREB increases yearly, and that intelligent innovations are notably occurring at a faster rate than profits. Disproportional enterprise returns on investment have occurred, which decreases enterprise motivation to be innovative in the first place. Additionally, it was also observed that FDI, financial development, government intervention, and the level of opening-up were the primary factors modulating regional intelligent manufacturing levels.

Suggested Citation

  • Decai Tang & Luxia Wang & Brandon J. Bethel, 2021. "An Evaluation of the Yangtze River Economic Belt Manufacturing Industry Level of Intelligentization and Influencing Factors: Evidence from China," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:8913-:d:611216
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    Citations

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    Cited by:

    1. Jinhua Sun & Decai Tang & Haojia Kong & Valentina Boamah, 2022. "Impact of Industrial Structure Upgrading on Green Total Factor Productivity in the Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(6), pages 1-15, March.
    2. Zhao-Zhen Zhu & Yue Chen & Jiang Zhao & Zhu-Ying Yu, 2023. "Intelligent Manufacturing and Value Creation in Enterprises: Lessons from a Quasi-Natural Experiment in a Chinese Demonstration Project," Sustainability, MDPI, vol. 15(15), pages 1-17, July.
    3. Xiaoling Zhang & Decai Tang & Yi Li & Valentina Boamah & Yisi Liu, 2022. "Analysis of OFDI Industry Linkage Network Based on Grey Incidence: Taking the Jiangsu Manufacturing Industry as an Example," Sustainability, MDPI, vol. 14(9), pages 1-17, May.
    4. Rongrong Zhou & Decai Tang & Dan Da & Wenya Chen & Lin Kong & Valentina Boamah, 2022. "Research on China’s Manufacturing Industry Moving towards the Middle and High-End of the GVC Driven by Digital Economy," Sustainability, MDPI, vol. 14(13), pages 1-30, June.
    5. Chunyan Lin & Wen Qiao, 2022. "Statistical Measurements and Club Effects of High-Quality Development in Chinese Manufacturing," IJERPH, MDPI, vol. 19(23), pages 1-22, December.
    6. Decai Tang & Ziqian Zhao & Wenwen Shen & Jianqun Zhang & Yuehong Kong & Valentina Boamah, 2022. "Research on the Impact of Digital Finance on the Industrial Structure Upgrading of the Yangtze River Economic Belt from the Perspective of R&D Innovation," Sustainability, MDPI, vol. 15(1), pages 1-14, December.

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