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Path of Smart Servitization and Transformation in the Textile Industry: A Case Study of Various Regions in China

Author

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  • Lei Shen

    (Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China)

  • Cong Sun

    (Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China)

  • Muhammad Ali

    (School of Economics and Management, Dongguan University of Technology, Dongguan 523808, China
    School of Management, University of Science and Technology of China, Hefei 230026, China)

Abstract

This study uses 31 provinces and municipalities from China’s textile industry as a research sample and divides the region into four geographical areas: eastern, central, western, and northeastern. It quantified smart servitization in the textile industry using input–output data and applied the fuzzy set qualitative comparison analysis to identify potential pathways for promoting smart servitization in the textile industry. The study’s findings indicate that there are significant geographical differences in the level of smart servitization in the textile industry across China. Moreover, the transformation and development of the textile industry require the co-operation of numerous factors, and the Chinese textile industry’s transformation paths can be summarized as “high-input” path, “technology—aggregation” path, “open” path, and “economic-agglomeration” path.

Suggested Citation

  • Lei Shen & Cong Sun & Muhammad Ali, 2021. "Path of Smart Servitization and Transformation in the Textile Industry: A Case Study of Various Regions in China," Sustainability, MDPI, vol. 13(21), pages 1-15, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:11680-:d:662277
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    References listed on IDEAS

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