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Energy efficiency and influencing factor analysis in the overall Chinese textile industry

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  • Peng, Lihong
  • Zhang, Yiting
  • Wang, Yejun
  • Zeng, Xiaoling
  • Peng, Najun
  • Yu, Ang

Abstract

This study analyzes the OTI (overall textile industry) energy efficiency gap between China and the US and measures the longitudinal changes in OTI energy efficiency over time. A breadthwise comparison of the energy efficiency among OTI subsectors indicates that the CFI (chemical fiber industry) is the key subsector for improving energy efficiency. This study conducts a quantitative analysis of the influencing factors of energy efficiency of the CFI in China. The energy efficiency of the CFI in Fujian and its influencing factors are compared with that of the national level. Results indicate that the main factors influencing the energy efficiency of CFI in China include economic structure, energy structure, industry scale, and technology, whereas industry concentration has no significant effect. Economic indicators show that the energy efficiency of Fujian's CFI has continued to improve yearly, and is currently above the national average. The low proportion of state-owned and state holding enterprises value, low proportion of coal consumption in the energy structure, industrial scale with a majority of medium- and large-sized enterprises, and advanced technology level are the main reasons for the success of Fujian's CFI. Finally, this study proposes several feasible policies that could be adopted by the authorities concerned.

Suggested Citation

  • Peng, Lihong & Zhang, Yiting & Wang, Yejun & Zeng, Xiaoling & Peng, Najun & Yu, Ang, 2015. "Energy efficiency and influencing factor analysis in the overall Chinese textile industry," Energy, Elsevier, vol. 93(P1), pages 1222-1229.
    • Handle: RePEc:eee:energy:v:93:y:2015:i:p1:p:1222-1229
    DOI: 10.1016/j.energy.2015.09.075
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    2. Lin, Boqiang & Chen, Yu & Zhang, Guoliang, 2018. "Impact of technological progress on China's textile industry and future energy saving potential forecast," Energy, Elsevier, vol. 161(C), pages 859-869.
    3. Lin, Boqiang & Bai, Rui, 2020. "Dynamic energy performance evaluation of Chinese textile industry," Energy, Elsevier, vol. 199(C).
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    9. Clara Inés Pardo Martínez, 2009. "Energy efficiency developments in the manufacturing industries of Germany and Colombia, 1998-2005," Serie de Documentos en Economía y Violencia 6144, Centro de Investigaciones en Violencia, Instituciones y Desarrollo Económico (VIDE).
    10. Ma, Ding & Fei, Rilong & Yu, Yongsheng, 2019. "How government regulation impacts on energy and CO2 emissions performance in China's mining industry," Resources Policy, Elsevier, vol. 62(C), pages 651-663.
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    14. Liao, Nuo & He, Yong, 2018. "Exploring the effects of influencing factors on energy efficiency in industrial sector using cluster analysis and panel regression model," Energy, Elsevier, vol. 158(C), pages 782-795.
    15. Salvia, Amanda Lange & Brandli, Luciana Londero & Leal Filho, Walter & Locatelli Kalil, Rosa Maria, 2019. "An analysis of the applications of Analytic Hierarchy Process (AHP) for selection of energy efficiency practices in public lighting in a sample of Brazilian cities," Energy Policy, Elsevier, vol. 132(C), pages 854-864.
    16. Wang, Ning & Li, Heng & Liu, Gengyuan & Meng, Fanxin & Shan, Shaolei & Wang, Zongshui, 2018. "Developing a more comprehensive energy efficiency index for coal production: Indicators, methods and case study," Energy, Elsevier, vol. 162(C), pages 944-952.
    17. Han, Feng & Xie, Rui & Fang, Jiayu, 2018. "Urban agglomeration economies and industrial energy efficiency," Energy, Elsevier, vol. 162(C), pages 45-59.
    18. Hua Wang & Hafeezullah Memon & Syed Hamad Hassan Shah & Madjidov Shakhrukh, 2019. "Development of a Quantitative Model for the Analysis of the Functioning of Integrated Textile Supply Chains," Mathematics, MDPI, vol. 7(10), pages 1-14, October.
    19. Junqian Xu & Yong Liu & Liling Yang, 2018. "A Comparative Study of the Role of China and India in Sustainable Textile Competition in the U.S. Market under Green Trade Barriers," Sustainability, MDPI, vol. 10(5), pages 1-21, April.
    20. Zuoren Sun & Chao An & Huachen Sun, 2018. "Regional Differences in Energy and Environmental Performance: An Empirical Study of 283 Cities in China," Sustainability, MDPI, vol. 10(7), pages 1-28, July.
    21. Back, Jaime André & Tedesco, Leonel Pablo & Molz, Rolf Fredi & Nara, Elpidio Oscar Benitez, 2016. "An embedded system approach for energy monitoring and analysis in industrial processes," Energy, Elsevier, vol. 115(P1), pages 811-819.
    22. A S M Monjurul Hasan & Mohammad Rokonuzzaman & Rashedul Amin Tuhin & Shah Md. Salimullah & Mahfuz Ullah & Taiyeb Hasan Sakib & Patrik Thollander, 2019. "Drivers and Barriers to Industrial Energy Efficiency in Textile Industries of Bangladesh," Energies, MDPI, vol. 12(9), pages 1-19, May.
    23. Jian Xu & Binghan Wang, 2019. "Intellectual Capital Performance of the Textile Industry in Emerging Markets: A Comparison with China and South Korea," Sustainability, MDPI, vol. 11(8), pages 1-16, April.
    24. Jinpeng Liu & Li Wang & Mohan Qiu & Jiang Zhu, 2016. "Promotion Potentiality and Optimal Strategies Analysis of Provincial Energy Efficiency in China," Sustainability, MDPI, vol. 8(8), pages 1-17, August.

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