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Evaluation and Analysis of Eco-Security in Environmentally Sensitive Areas Using an Emergy Ecological Footprint

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  • Han-Shen Chen

    (School of Health Diet and Industry Management, Chung Shan Medical University, No.110, Sec. 1, Jianguo N. Rd. Taichung City 40201, Taiwan
    Department of Medical Management, Chung Shan Medical University Hospital, No.110, Sec. 1, Jianguo N. Rd. Taichung City 40201, Taiwan)

Abstract

In this paper, the overall ecological and environmental sustainability in the Cing-Jing region in Taiwan is examined. As land use and cover change has been found to be an important analysis method, an emergy ecological footprint model was applied and the eco-security assessed to ensure authorities maintain a balance between ecological preservation and tourism development. While the ecological environment in the Cing-Jing region from 2008 to 2014 was found to be within safe levels, all related indices had increased considerably. A Grey model was used to predict the 2015–2024 ecological carrying capacities, from which it was found that there is expected to be a large increase in per capita ecological footprints (EFs), meaning that in the future there is going to be a larger ecological deficit and a higher ecological pressure index (EFI), with the eco-security predicted to reach a Grade 2 intermediate level in 2022. As the Cing-Jing region is predicted to become ecologically unsustainable, local, regional, and national governments need to implement regulations to strictly control the land use in the Cing-Jing region. This study demonstrated that emergy EF (EEF) theory application can give objective guidance to decision-makers to ensure that recreational non-urban eco-security can be maintained at a safe level.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:2:p:136-:d:89110
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    References listed on IDEAS

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    1. Bahrami, Saadat & Hooshmand, Rahmat-Allah & Parastegari, Moein, 2014. "Short term electric load forecasting by wavelet transform and grey model improved by PSO (particle swarm optimization) algorithm," Energy, Elsevier, vol. 72(C), pages 434-442.
    2. Yung-Jaan Lee & Chuan-Ming Tung & Piin-Rong Lee & Shih-Chien Lin, 2016. "Personal Water Footprint in Taiwan: A Case Study of Yunlin County," Sustainability, MDPI, vol. 8(11), pages 1-12, October.
    3. Han-Shen Chen, 2015. "The Establishment and Application of Environment Sustainability Evaluation Indicators for Ecotourism Environments," Sustainability, MDPI, vol. 7(4), pages 1-20, April.
    4. Han-Shen Chen, 2015. "Establishment and Applied Research on a Wetland Ecosystem Evaluation Model in Taiwan," Sustainability, MDPI, vol. 7(12), pages 1-9, November.
    5. Haberl, Helmut & Erb, Karl-Heinz & Krausmann, Fridolin, 2001. "How to calculate and interpret ecological footprints for long periods of time: the case of Austria 1926-1995," Ecological Economics, Elsevier, vol. 38(1), pages 25-45, July.
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    Cited by:

    1. Yuan Gao & Li Tian & An Huang & Huan Zhang & Jianghao Yu & Yu Pan & Yuankang Wang & Binzhuo Gou, 2023. "Research on the Sustainable Development of Natural-Social-Economic Systems Based on the Emergy Accounting Method—A Case Study of Liyang in China," Land, MDPI, vol. 12(7), pages 1-20, July.
    2. 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.
    3. Zhaofeng Wang & Dongchun Huang & Jing Wang, 2023. "Exploring Spatial Correlations of Tourism Ecological Security in China: A Perspective from Social Network Analysis," IJERPH, MDPI, vol. 20(5), pages 1-15, February.
    4. Shiwen Zhang & Xiaoling Xie, 2022. "Exploration of Rural Agroforestry–Pastoral Complex Systems Based on Ecological Footprint*—Taking Zhagana in Yiwa Township as an Example," Sustainability, MDPI, vol. 14(21), pages 1-15, November.
    5. Asghar Afshar Jahanshahi & Alexander Brem, 2018. "Antecedents of Corporate Environmental Commitments: The Role of Customers," IJERPH, MDPI, vol. 15(6), pages 1-10, June.
    6. Ji Chai & Zhanqi Wang & Hongwei Zhang, 2017. "Integrated Evaluation of Coupling Coordination for Land Use Change and Ecological Security: A Case Study in Wuhan City of Hubei Province, China," IJERPH, MDPI, vol. 14(11), pages 1-21, November.
    7. Yikun Su & Hong Xue & Huakang Liang, 2019. "An Evaluation Model for Urban Comprehensive Carrying Capacity: An Empirical Case from Harbin City," IJERPH, MDPI, vol. 16(3), pages 1-25, January.

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