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Assessing Environmental Sustainability Based on the Three-Dimensional Emergy Ecological Footprint (3D EEF) Model: A Case Study of Gansu Province, China

Author

Listed:
  • Hua Liu

    (School of Mathematics and Computer Science, Northwest Minzu University, Lanzhou 730030, China)

  • Xiaofen Lin

    (School of Mathematics and Computer Science, Northwest Minzu University, Lanzhou 730030, China)

  • Jinhuan Wei

    (School of Mathematics and Computer Science, Northwest Minzu University, Lanzhou 730030, China)

  • Lei Hu

    (School of Mathematics and Computer Science, Northwest Minzu University, Lanzhou 730030, China)

Abstract

Quantifying the supply and demand relationship between human social consumption and natural ecosystem resources is an effective way to assess the sustainability of ecosystem services. This paper introduces the concepts of footprint size (EF size ) and depth (EF depth ) to emergy analysis to establish a three-dimensional emergy ecological footprint (3D EEF) model and evaluates the environmental sustainability development of Gansu Province from 2001 to 2020. The results show that the minimum value of the 3D emergy ecological footprint (EEF 3D ) of Gansu Province was 5.98 × 10 7 hm 2 and that the maximum value was 1.41 × 10 8 hm 2 . The EEFdepth was slightly more than one in 2015 and 2016, and the ecological resources were in deficit. However, the ecological service system from 2001 to 2020 was almost in a sustainable state. The region’s emergy carrying capacity (ECC) and emergy ecological footprint (EEF) from 2021 to 2030 are predicted using the ARIMA and GM (1, 1) models. The projections show that the ECC and EEF will increase year by year from 2021 to 2030. In the short term, the flow of natural capital can satisfy the development requirements. Finally, policy recommendations are provided for the ecological sustainability of the region.

Suggested Citation

  • Hua Liu & Xiaofen Lin & Jinhuan Wei & Lei Hu, 2023. "Assessing Environmental Sustainability Based on the Three-Dimensional Emergy Ecological Footprint (3D EEF) Model: A Case Study of Gansu Province, China," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:8007-:d:1146753
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    References listed on IDEAS

    as
    1. Han-Shen Chen, 2017. "Evaluation and Analysis of Eco-Security in Environmentally Sensitive Areas Using an Emergy Ecological Footprint," IJERPH, MDPI, vol. 14(2), pages 1-11, January.
    2. Niccolucci, V. & Bastianoni, S. & Tiezzi, E.B.P. & Wackernagel, M. & Marchettini, N., 2009. "How deep is the footprint? A 3D representation," Ecological Modelling, Elsevier, vol. 220(20), pages 2819-2823.
    3. David Lin & Laurel Hanscom & Adeline Murthy & Alessandro Galli & Mikel Evans & Evan Neill & Maria Serena Mancini & Jon Martindill & Fatime-Zahra Medouar & Shiyu Huang & Mathis Wackernagel, 2018. "Ecological Footprint Accounting for Countries: Updates and Results of the National Footprint Accounts, 2012–2018," Resources, MDPI, vol. 7(3), pages 1-22, September.
    4. Niccolucci, Valentina & Pulselli, Federico M. & Tiezzi, Enzo, 2007. "Strengthening the threshold hypothesis: Economic and biophysical limits to growth," Ecological Economics, Elsevier, vol. 60(4), pages 667-672, February.
    5. Xiaoman Liu & Jingying Fu & Dong Jiang & Jianwu Luo & Chenxi Sun & Huiming Liu & Ruihong Wen & Xuefeng Wang, 2018. "Improvement of Ecological Footprint Model in National Nature Reserve Based on Net Primary Production (NPP)," Sustainability, MDPI, vol. 11(1), pages 1-16, December.
    6. Minglu Ma & Zhuangzhuang Wang, 2019. "Prediction of the Energy Consumption Variation Trend in South Africa based on ARIMA, NGM and NGM-ARIMA Models," Energies, MDPI, vol. 13(1), pages 1-15, December.
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