IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v14y2017i2p136-d89110.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/14/2/136/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/14/2/136/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. Asghar Afshar Jahanshahi & Alexander Brem, 2018. "Antecedents of Corporate Environmental Commitments: The Role of Customers," IJERPH, MDPI, vol. 15(6), pages 1-10, June.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Han-Shen Chen & Wan-Yu Liu & Chi-Ming Hsieh, 2017. "Integrating Ecosystem Services and Eco-Security to Assess Sustainable Development in Liuqiu Island," Sustainability, MDPI, vol. 9(6), pages 1-14, June.
    2. Wei Sun & Chongchong Zhang, 2018. "A Hybrid BA-ELM Model Based on Factor Analysis and Similar-Day Approach for Short-Term Load Forecasting," Energies, MDPI, vol. 11(5), pages 1-18, May.
    3. Kastner, Thomas & Kastner, Michael & Nonhebel, Sanderine, 2011. "Tracing distant environmental impacts of agricultural products from a consumer perspective," Ecological Economics, Elsevier, vol. 70(6), pages 1032-1040, April.
    4. Dongxiao Niu & Yi Liang & Wei-Chiang Hong, 2017. "Wind Speed Forecasting Based on EMD and GRNN Optimized by FOA," Energies, MDPI, vol. 10(12), pages 1-18, December.
    5. Hannah Jessie Rani R. & Aruldoss Albert Victoire T., 2018. "Training radial basis function networks for wind speed prediction using PSO enhanced differential search optimizer," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-35, May.
    6. Da Liu & Kun Sun & Han Huang & Pingzhou Tang, 2018. "Monthly Load Forecasting Based on Economic Data by Decomposition Integration Theory," Sustainability, MDPI, vol. 10(9), pages 1-22, September.
    7. Hao Hao & Ji Zhang & Qian Zhang & Li Yao & Yichen Sun, 2021. "Improved gray neural network model for healthcare waste recycling forecasting," Journal of Combinatorial Optimization, Springer, vol. 42(4), pages 813-830, November.
    8. Xinyu Han & Rongrong Li, 2019. "Comparison of Forecasting Energy Consumption in East Africa Using the MGM, NMGM, MGM-ARIMA, and NMGM-ARIMA Model," Energies, MDPI, vol. 12(17), pages 1-24, August.
    9. Cusso, Xavier & Garrabou, Ramon & Tello, Enric, 2006. "Social metabolism in an agrarian region of Catalonia (Spain) in 1860-1870: Flows, energy balance and land use," Ecological Economics, Elsevier, vol. 58(1), pages 49-65, June.
    10. White, Thomas J., 2007. "Sharing resources: The global distribution of the Ecological Footprint," Ecological Economics, Elsevier, vol. 64(2), pages 402-410, December.
    11. Yang, Zhongshan & Wang, Jian, 2018. "A hybrid forecasting approach applied in wind speed forecasting based on a data processing strategy and an optimized artificial intelligence algorithm," Energy, Elsevier, vol. 160(C), pages 87-100.
    12. Ding, Song, 2018. "A novel self-adapting intelligent grey model for forecasting China's natural-gas demand," Energy, Elsevier, vol. 162(C), pages 393-407.
    13. Yang, YouLong & Che, JinXing & Li, YanYing & Zhao, YanJun & Zhu, SuLing, 2016. "An incremental electric load forecasting model based on support vector regression," Energy, Elsevier, vol. 113(C), pages 796-808.
    14. Nana Geng & Yong Zhang & Yixiang Sun & Yunjian Jiang & Dandan Chen, 2015. "Forecasting China’s Annual Biofuel Production Using an Improved Grey Model," Energies, MDPI, vol. 8(10), pages 1-20, October.
    15. Tuncay Özcan, 2017. "Application of Seasonal and Multivariable Grey Prediction Models for Short-Term Load Forecasting," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 5(2), pages 329-338, December.
    16. Zhang, Can & Su, Bo & Beckmann, Michael & Volk, Martin, 2024. "Emergy-based evaluation of ecosystem services: Progress and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    17. Ye-Ning Wang & Qiang Zhou & Hao-Wei Wang, 2020. "Assessing Ecological Carrying Capacity in the Guangdong-Hong Kong-Macao Greater Bay Area Based on a Three-Dimensional Ecological Footprint Model," Sustainability, MDPI, vol. 12(22), pages 1-18, November.
    18. Yisong Wang & Jincheng Huang & Shiming Fang, 2019. "Sustainability Assessment of Natural Capital Based on the 3D Ecological Footprint Model: A Case Study of the Shennongjia National Park Pilot," Sustainability, MDPI, vol. 11(4), pages 1-17, February.
    19. Fan, Guo-Feng & Yu, Meng & Dong, Song-Qiao & Yeh, Yi-Hsuan & Hong, Wei-Chiang, 2021. "Forecasting short-term electricity load using hybrid support vector regression with grey catastrophe and random forest modeling," Utilities Policy, Elsevier, vol. 73(C).
    20. Shao, Ling & Wu, Zi & Chen, G.Q., 2013. "Exergy based ecological footprint accounting for China," Ecological Modelling, Elsevier, vol. 252(C), pages 83-96.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:14:y:2017:i:2:p:136-:d:89110. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.