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Examining the efficiency of biomass energy: Evidence from the Chinese recycling industry

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  • Xu, Xin-long
  • Chen, Hsing Hung

Abstract

Developing biomass energy could help to solve problems which limit the sustainable development of human society. These problems include environmental degradation and resource depletion. Using the stochastic frontier analysis model, we conducted an empirical analysis of technical efficiency for the recycling industry and the factors that impact it in 20 provinces in China. We found that technical efficiency is at a moderate level. There are large gaps in efficiency among the eastern, central and western regions. Technical efficiency is highest in the eastern provinces. Ownership structure and technical efficiency exhibit a significant inverted "U" shaped correlation. While urbanization does not affect technical efficiency, economic, industrial and education levels do have a positive impact on it. Based on the results of our study we have proposed a number of policies to promote the development of the recycling industry.

Suggested Citation

  • Xu, Xin-long & Chen, Hsing Hung, 2018. "Examining the efficiency of biomass energy: Evidence from the Chinese recycling industry," Energy Policy, Elsevier, vol. 119(C), pages 77-86.
    • Handle: RePEc:eee:enepol:v:119:y:2018:i:c:p:77-86
    DOI: 10.1016/j.enpol.2018.04.020
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    Citations

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    Cited by:

    1. Karol Tucki & Olga Orynycz & Andrzej Wasiak & Antoni Świć & Joanna Wichłacz, 2019. "The Impact of Fuel Type on the Output Parameters of a New Biofuel Burner," Energies, MDPI, vol. 12(7), pages 1-12, April.
    2. Kalon Si & Xin Long Xu & Hsing Hung Chen, 2020. "Examining the Interactive Endogeneity Relationship between R&D Investment and Financially Sustainable Performance: Comparison from Different Types of Energy Enterprises," Energies, MDPI, vol. 13(9), pages 1-15, May.
    3. Xin-Long Xu & Hsing Hung Chen, 2020. "Exploring the relationships between environmental management and financial sustainability in the energy industry: Linear and nonlinear effects," Energy & Environment, , vol. 31(7), pages 1281-1300, November.
    4. Xin Long Xu & Sen Qiao & Hsing Hung Chen, 2020. "Exploring the efficiency of new energy generation: Evidence from OECD and non-OECD countries," Energy & Environment, , vol. 31(3), pages 389-404, May.
    5. Hongli Liu & Xiaoyu Yan & Jinhua Cheng & Jun Zhang & Yan Bu, 2021. "Driving Factors for the Spatiotemporal Heterogeneity in Technical Efficiency of China’s New Energy Industry," Energies, MDPI, vol. 14(14), pages 1-21, July.
    6. Sheng Zhong & Shuwen Niu & Yipeng Wang, 2018. "Research on Potential Evaluation and Sustainable Development of Rural Biomass Energy in Gansu Province of China," Sustainability, MDPI, vol. 10(10), pages 1-20, October.
    7. Zhuohang Li & Tao Shen & Yifen Yin & Hsing Hung Chen, 2022. "Innovation Input, Climate Change, and Energy-Environment-Growth Nexus: Evidence from OECD and Non-OECD Countries," Energies, MDPI, vol. 15(23), pages 1-19, November.
    8. Xin Long Xu & Chao Sun & Yi Li & Nidi Zhou, 2020. "The Effects of Environmental Management and Debt Financing on Sustainable Financial Growth in the Tourism Industry," SAGE Open, , vol. 10(3), pages 21582440209, August.

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