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Impact of Embedded Global Value Chain on Technical Complexity of Industry Export—An Empirical Study Based on China’s Equipment Manufacturing Industry Panel

Author

Listed:
  • Yan Li

    (School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, Liaoning, China)

  • Haiyan Zhang

    (School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, Liaoning, China)

  • Yihui Liu

    (School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, Liaoning, China)

  • Qingbo Huang

    (School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, Liaoning, China)

Abstract

This study uses the World Input–Output Database (WIOD) to construct an export technical complexity index based on the effective elimination of imported foreign technology. The panel data of China’s equipment manufacturing industry from 2000 to 2014 are used as a sample, and the instrumental variable method is used to test the impact of the embedded global value chain on the technical complexity of industry exports. The impacts of different embedding time periods and different embedding methods on the technical complexity of industry exports are also explored with a view to providing reference recommendations to improve the technical complexity of China’s equipment manufacturing exports. The study finds that embedding a global value chain (GVC) can promote the export technical complexity of the equipment manufacturing industry, and with the improvement of domestic openness and industry research and development (R&D) investment conditions, the promotion effect will become increasingly potent. In addition, the backward and forward embedded global value chain (GVC) can promote the export technical complexity of the industry, and the effect of the promotion of backward embedding is even greater.

Suggested Citation

  • Yan Li & Haiyan Zhang & Yihui Liu & Qingbo Huang, 2020. "Impact of Embedded Global Value Chain on Technical Complexity of Industry Export—An Empirical Study Based on China’s Equipment Manufacturing Industry Panel," Sustainability, MDPI, vol. 12(7), pages 1-14, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:7:p:2694-:d:338654
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    References listed on IDEAS

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    5. Fei Peng & Lili Kang & Taoxiong Liu & Jia Cheng & Luxiao Ren, 2020. "Trade Agreements and Global Value Chains: New Evidence from China’s Belt and Road Initiative," Sustainability, MDPI, vol. 12(4), pages 1-24, February.
    6. Zhi Wang & Shang-Jin Wei & Xinding Yu & Kunfu Zhu, 2017. "Measures of Participation in Global Value Chains and Global Business Cycles," NBER Working Papers 23222, National Bureau of Economic Research, Inc.
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    Cited by:

    1. 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.
    2. Cheng, Lu & Mi, Zhifu & Coffman, D'Maris & Meng, Jing & Chang, Dongfeng, 2021. "Destruction and Deflection: Evidence from American Antidumping Actions against China," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 203-213.
    3. Wu, Jinlong & Bian, Yuanchao & Bai, Junhong, 2023. "Global value chain upgrading effect of foreign capital withdrawal: Evidence from Chinese firms," Journal of Asian Economics, Elsevier, vol. 89(C).
    4. Elena Paglialunga & Andrea Coveri & Antonello Zanfei, 2020. "Climate change and inequality in a global context. Exploring climate induced disparities and the reaction of economic systems," Working Papers 2003, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2020.
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    6. Yi Zheng & Min Luo, 2023. "Enhancing Operating Efficiency in China’s High-End Equipment Manufacturing Industry: Insights from Listed Enterprises," Sustainability, MDPI, vol. 15(11), pages 1-18, May.

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