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Carbon Footprint Assessment and Efficiency Measurement of Wood Processing Industry Based on Life Cycle Assessment

Author

Listed:
  • Mengwan Zhang

    (School of Economics and Management, Beijing Forestry University, Qinghua East Road 35, Beijing 100083, China)

  • Ning Ma

    (School of Economics and Management, Beijing Forestry University, Qinghua East Road 35, Beijing 100083, China)

  • Youneng Yang

    (School of Economics and Management, Beijing Forestry University, Qinghua East Road 35, Beijing 100083, China)

Abstract

The contradiction between economic development and the ecological barrier function of the wood processing sector is increasingly deepening. However, China has not yet established a life cycle database for the wood processing industry, which makes it difficult to scientifically evaluate its carbon emission efficiency. Therefore, based on the panel data of 31 provinces (autonomous regions and municipalities) in China from 2014 to 2020 published in the China Statistical Yearbook, this paper combined a life cycle assessment and dynamic network slacks-based model, and the carbon emission efficiency of different stages was measured from the multidimensional perspective of labor, energy, capital input, and economic and ecological benefits output. The results show that: (1) The overall carbon emission efficiency is 0.6161, and the coastal and northwest regions have higher efficiency; (2) The efficiency levels of Inner Mongolia, Shanghai, and another four provinces have been increasing while other regions have significant differences; (3) Beijing, Jiangsu, and the other four provinces are at an effective level overall. The most serious efficiency loss is at the processing stage. These findings provide an important reference for promoting the low-carbon cycle development of China’s wood processing industry and the formulation of policies in various regions.

Suggested Citation

  • Mengwan Zhang & Ning Ma & Youneng Yang, 2023. "Carbon Footprint Assessment and Efficiency Measurement of Wood Processing Industry Based on Life Cycle Assessment," Sustainability, MDPI, vol. 15(8), pages 1-24, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6558-:d:1122026
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    References listed on IDEAS

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    1. Yu Jiang & Na Wang, 2022. "Impact of Biased Technological Change on High-Quality Economic Development of China’s Forestry: Based on Mediating Effect of Industrial Structure Upgrading," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    2. Kaoru Tone & Miki Tsutsui, 2014. "Slacks-Based Network DEA," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 231-259, Springer.
    3. Fei Lun & Moucheng Liu & Dan Zhang & Wenhua Li & Junguo Liu, 2016. "Life Cycle Analysis of Carbon Flow and Carbon Footprint of Harvested Wood Products of Larix principis-rupprechtii in China," Sustainability, MDPI, vol. 8(3), pages 1-16, March.
    4. Huang, Junbing & Lai, Yali & Hu, Hanlei, 2020. "The effect of technological factors and structural change on China's energy intensity: Evidence from dynamic panel models," China Economic Review, Elsevier, vol. 64(C).
    5. Winchester, Niven & Reilly, John M., 2020. "The economic and emissions benefits of engineered wood products in a low-carbon future," Energy Economics, Elsevier, vol. 85(C).
    6. Wang, Ning & Shen, Ruifang & Wen, Zongguo & De Clercq, Djavan, 2019. "Life cycle energy efficiency evaluation for coal development and utilization," Energy, Elsevier, vol. 179(C), pages 1-11.
    7. Geng, Aixin & Yang, Hongqiang & Chen, Jiaxin & Hong, Yinxing, 2017. "Review of carbon storage function of harvested wood products and the potential of wood substitution in greenhouse gas mitigation," Forest Policy and Economics, Elsevier, vol. 85(P1), pages 192-200.
    8. Shanshan Wang & Jiaxin Chen & Michael T. Ter‐Mikaelian & Annie Levasseur & Hongqiang Yang, 2022. "From carbon neutral to climate neutral: Dynamic life cycle assessment for wood‐based panels produced in China," Journal of Industrial Ecology, Yale University, vol. 26(4), pages 1437-1449, August.
    9. Chen, Wenying & Li, Hualin & Wu, Zongxin, 2010. "Western China energy development and west to east energy transfer: Application of the Western China Sustainable Energy Development Model," Energy Policy, Elsevier, vol. 38(11), pages 7106-7120, November.
    10. Gediminas JasineviÄ ius & Marcus Lindner & Emil Cienciala & Markku Tykkyläinen, 2018. "Carbon Accounting in Harvested Wood Products: Assessment Using Material Flow Analysis Resulting in Larger Pools Compared to the IPCC Default Method," Journal of Industrial Ecology, Yale University, vol. 22(1), pages 121-131, February.
    11. Liangliang Jia & Jie Chu & Li Ma & Xuemin Qi & Anuj Kumar, 2019. "Life Cycle Assessment of Plywood Manufacturing Process in China," IJERPH, MDPI, vol. 16(11), pages 1-10, June.
    12. Dodoo, Ambrose & Gustavsson, Leif & Sathre, Roger, 2009. "Carbon implications of end-of-life management of building materials," Resources, Conservation & Recycling, Elsevier, vol. 53(5), pages 276-286.
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