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The Convergence Management of Strategic Emerging Industries: Sustainable Design Analysis for Facilitating the Improvement of Innovation Networks

Author

Listed:
  • Xue Wang

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China)

  • Baizhou Li

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China)

  • Shi Yin

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China
    School of Business Administration, Liaoning Technical University, Huludao 125105, China)

Abstract

The overall high-end of strategic emerging industries can be effectively promoted by strengthening the inter-industry innovation linkage effect. This paper constructs a strategic emerging industry innovation network based on industry correlation. This paper studies the development trend of the whole network structure and individual network characteristics and analyzes the influence of network structure characteristics on the attribute performance of each industry. The research results are as follows: (i) The innovation network as a whole was in a slight decline trend of low density during the sample investigation period, and the correlation level had great room for improvement. (ii) The high-end equipment manufacturing industry, the new materials industry, and the new-generation information technology industry occupy the center of the network, but their spillover effect on other industries is poor, and some industries even get more innovation benefits. (iii) The innovation network of China’s strategic emerging industries has the characteristics of cross-industry clustering, and the linkage effect between plates is insufficient, showing the characteristics of the “reflexivity” aggregation subgroup. (iv) The unreasonable connection mode of strategic emerging industries’ innovation network leads to the improvement of the centrality degree, which is not conducive to the innovation output of the industry. However, innovation output can be positively affected, to a certain extent, by improving the betweenness and closeness of the industries in the network.

Suggested Citation

  • Xue Wang & Baizhou Li & Shi Yin, 2020. "The Convergence Management of Strategic Emerging Industries: Sustainable Design Analysis for Facilitating the Improvement of Innovation Networks," Sustainability, MDPI, vol. 12(3), pages 1-21, January.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:3:p:900-:d:313136
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    References listed on IDEAS

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    Cited by:

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    2. Yunchang Li & Xia Cao & Can Cui, 2023. "System Dynamics Theory Applied to Differentiated Levels of City–Industry Integration in China," Sustainability, MDPI, vol. 15(5), pages 1-17, February.
    3. Chun-Wei Chen & Neng-Tang Huang & Hsien-Sheng Hsiao, 2022. "The Construction and Application of E-Learning Curricula Evaluation Metrics for Competency-Based Teacher Professional Development," Sustainability, MDPI, vol. 14(14), pages 1-22, July.
    4. Meili Zhang & Shi Yin, 2023. "Can China’s Digital Economy and Green Economy Achieve Coordinated Development?," Sustainability, MDPI, vol. 15(7), pages 1-25, March.
    5. Weihua Su & Zhen Wang & Chonghui Zhang & Tomas Balezentis, 2023. "Determinants of the innovation efficiency of strategic emerging enterprises: evidence from the robust frontiers," Economic Change and Restructuring, Springer, vol. 56(3), pages 1433-1465, June.
    6. Hailin Yao & Wei Huang, 2022. "Effect of R&D Subsidies on External Collaborative Networks and the Sustainable Innovation Performance of Strategic Emerging Enterprises: Evidence from China," Sustainability, MDPI, vol. 14(8), pages 1-19, April.

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