SHS Web Conf.
Volume 181, 20242023 International Conference on Digital Economy and Business Administration (ICDEBA 2023)
|Number of page(s)
|Marketing Strategy Analysis
|17 January 2024
Research on the motivation, mode and performance of green transformation of textile companies
Zhejiang GongShang University Hangzhou College of Commerce, Hangzhou, 311500, China
* Corresponding author: email@example.com
The characteristics of high pollution and high energy consumption of the traditional textile industry make it urgent for a comprehensive optimization and upgrading after the goal of “carbon peak and carbon neutral” in China. Based on the research background of “double carbon” target, this paper studies the transformation of the textile enterprises, choose has the country’s largest textile industry cluster of Zhejiang Shaoxing KeQiao for research object, through the questionnaire survey, field research, case study method found that: industry transformation effect overall positive momentum, but there are still competitiveness, power, the target. Furthermore, this paper selects typical enterprises and divides different forms of green transformation into substantive green transformation, arbitrage green transformation and stress green transformation. Moreover, it summarizes the main characteristics of transformation mode to create precise “5G”, innovate low energy consumption technology and promote green finance. Finally, the performance results of the three transformation modes are analyzed, which expands the research direction of the transformation mode for the green goal of energy conservation and emission reduction in the textile industry, points out a new road and provides new enlightenment for the exploration of the green transformation mode of enterprises. Green manufacturing is the decisive factor and the only way to realize the social sustainable development strategy, and is the inevitable trend of the development of manufacturing industry.
Key words: energy saving and emission reduction / textile industry / green transformation / performance analysis
© The Authors, published by EDP Sciences, 2024
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