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Technological progress and energy rebound effect in China׳s textile industry: Evidence and policy implications

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  • Lin, Boqiang
  • Zhao, Hongli

Abstract

Although energy efficiency improvement can reduce energy consumption, reduction of the effective price will also increase the demand for energy services. Part of this reduction is then offset because of the energy efficiency improvement. The magnitude of this energy rebound effect is one of the important factors that must be considered in the formulation and implementation of energy policies. The textile industry is a traditional pillar industry in China. It is an important part of the national economy and contributes significantly to international trade. This study uses the Morishima elasticities of substitution (MES) model combined with asymmetric energy prices, trans-log cost function, and other econometric methods to establish a framework to measure the rebound effect in China׳s textile industry. The empirical results of this paper indicate that the rebound effect for China׳s textile industry is 20.991%. This reveals that energy efficiency improvement is conducive for energy saving to a certain degree. Notwithstanding, these results also prove that energy efficiency improvement is not the only way for China׳s textile industry to realize energy saving and emission reduction. Finally, based on the analysis, future policy priorities are suggested.

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  • Lin, Boqiang & Zhao, Hongli, 2016. "Technological progress and energy rebound effect in China׳s textile industry: Evidence and policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 173-181.
    • Handle: RePEc:eee:rensus:v:60:y:2016:i:c:p:173-181
    DOI: 10.1016/j.rser.2016.01.069
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    8. Laili Wang & Yi Li & Wanwen He, 2017. "The Energy Footprint of China’s Textile Industry: Perspectives from Decoupling and Decomposition Analysis," Energies, MDPI, vol. 10(10), pages 1-11, September.
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    11. Lin, Boqiang & Chen, Yufang & Zhang, Guoliang, 2017. "Technological progress and rebound effect in China's nonferrous metals industry: An empirical study," Energy Policy, Elsevier, vol. 109(C), pages 520-529.
    12. Wang, Xiaolei & Wen, Xiaohui & Xie, Chunping, 2018. "An evaluation of technical progress and energy rebound effects in China's iron & steel industry," Energy Policy, Elsevier, vol. 123(C), pages 259-265.
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    15. Safarzadeh, Soroush & Rasti-Barzoki, Morteza & Hejazi, Seyed Reza & Piran, Md Jalil, 2020. "A game theoretic approach for the duopoly pricing of energy-efficient appliances regarding innovation protection and social welfare," Energy, Elsevier, vol. 200(C).
    16. Safarzadeh, Soroush & Hafezalkotob, Ashkan & Jafari, Hamed, 2022. "Energy supply chain empowerment through tradable green and white certificates: A pathway to sustainable energy generation," Applied Energy, Elsevier, vol. 323(C).
    17. Chao-Qun Ma & Jiang-Long Liu & Yi-Shuai Ren & Yong Jiang, 2019. "The Impact of Economic Growth, FDI and Energy Intensity on China’s Manufacturing Industry’s CO 2 Emissions: An Empirical Study Based on the Fixed-Effect Panel Quantile Regression Model," Energies, MDPI, vol. 12(24), pages 1-16, December.
    18. Wei, Wei & Mushtaq, Zulqarnain & Sharif, Maimoona & Zeng, Xiaowu & Wan-Li, Zhang & Qaisrani, Mumtaz A., 2020. "Evaluating the coal rebound effect in energy intensive industries of China," Energy, Elsevier, vol. 207(C).
    19. Carlos Scheel & Bernardo Bello, 2022. "Transforming Linear Production Chains into Circular Value Extended Systems," Sustainability, MDPI, vol. 14(7), pages 1-17, March.
    20. Jarke-Neuert, Johannes & Perino, Grischa, 2020. "Energy efficiency promotion backfires under cap-and-trade," Resource and Energy Economics, Elsevier, vol. 62(C).
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    22. An, Hui & Xu, Jianjun & Ma, Xuejiao, 2020. "Does technological progress and industrial structure reduce electricity consumption? Evidence from spatial and heterogeneity analysis," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 206-220.

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