IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i2p800-d1571855.html
   My bibliography  Save this article

Identifying Administrative Villages with an Urgent Demand for Rural Domestic Sewage Treatment at the County Level: Decision Making from China Wisdom

Author

Listed:
  • Zixuan Wang

    (State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Pengyu Li

    (State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
    University of Chinese Academy of Sciences, Beijing 100049, China
    National Joint Research Center for Ecological Conservation and High Quality Development of the Yellow River Basin, Beijing 100012, China)

  • Wenqian Cai

    (Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China)

  • Zhining Shi

    (Sustainable Infrastructure and Resource Management (SIRM), UniSA STEM, University of South Australia, South Australia, Adelaide, SA 5095, Australia)

  • Jianguo Liu

    (Key Laboratory of Environmental Pollution Control and Remediation at Universities of Inner Mongolia Autonomous Region, College of Resources and Environmental Engineering, Inner Mongolia University of Technology, Hohhot 010051, China)

  • Yingnan Cao

    (State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
    Key Laboratory of Environmental Pollution Control and Remediation at Universities of Inner Mongolia Autonomous Region, College of Resources and Environmental Engineering, Inner Mongolia University of Technology, Hohhot 010051, China)

  • Wenkai Li

    (SCEGC No. 12 Construction Engineering Group Co., Ltd., Ankang National High-Tech Industries Development Zone, Ankang 725000, China)

  • Wenjun Wu

    (State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation, Chinese Academy of Environmental Planning, Beijing 100041, China)

  • Lin Li

    (State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Junxin Liu

    (State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Tianlong Zheng

    (State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
    University of Chinese Academy of Sciences, Beijing 100049, China
    National Joint Research Center for Ecological Conservation and High Quality Development of the Yellow River Basin, Beijing 100012, China)

Abstract

Rural domestic sewage management is a crucial pathway for achieving Sustainable Development Goal (SDG) 6 targets. Addressing the crucial challenge of prioritizing administrative villages for rural domestic sewage treatment at the county scale requires dedicated planning. However, county-level comprehensive evaluation models designed specifically for this purpose are currently limited. To address this gap, we developed a model based on 13 evaluation indicators encompassing village distribution characteristics, villager demographics, rural economic levels, and sanitation facility conditions. To gauge the varying emphasis on these factors by different groups, a questionnaire survey was conducted among experts, enterprises, and government departments involved in the rural sewage sector in China. Two counties from distinct regions were then chosen to validate these models. The Analytic Hierarchy Process (AHP) coupled with the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method was employed to rank the importance of the factors and determine the prioritization of rural domestic sewage management in each area. The model results indicated that priority should be given to the county government, township government, ecologically sensitive areas, and administrative villages near tourist attractions in the two selected empirical counties for governance. A sensitivity analysis showed that altitude consistently exhibited high sensitivity in influencing the ranking results across all scenarios (0.4–0.6). In addition, the empirical results obtained were largely consistent with the priorities of local governments. The proposed framework offers a practical application for decision-making systems in rural domestic sewage management at the county level, providing theoretical support and scientific strategies. This holds great significance for achieving SDG 6.

Suggested Citation

  • Zixuan Wang & Pengyu Li & Wenqian Cai & Zhining Shi & Jianguo Liu & Yingnan Cao & Wenkai Li & Wenjun Wu & Lin Li & Junxin Liu & Tianlong Zheng, 2025. "Identifying Administrative Villages with an Urgent Demand for Rural Domestic Sewage Treatment at the County Level: Decision Making from China Wisdom," Sustainability, MDPI, vol. 17(2), pages 1-19, January.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:2:p:800-:d:1571855
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/2/800/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/17/2/800/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ho, William & Ma, Xin, 2018. "The state-of-the-art integrations and applications of the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 267(2), pages 399-414.
    2. Rubio-Aliaga, Alvaro & García-Cascales, M. Socorro & Sánchez-Lozano, Juan Miguel & Molina-Garcia, Angel, 2021. "MCDM-based multidimensional approach for selection of optimal groundwater pumping systems: Design and case example," Renewable Energy, Elsevier, vol. 163(C), pages 213-224.
    3. Ho, William, 2008. "Integrated analytic hierarchy process and its applications - A literature review," European Journal of Operational Research, Elsevier, vol. 186(1), pages 211-228, April.
    Full references (including those not matched with items on IDEAS)

    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. Paweł Karczmarek & Witold Pedrycz & Adam Kiersztyn, 2021. "Fuzzy Analytic Hierarchy Process in a Graphical Approach," Group Decision and Negotiation, Springer, vol. 30(2), pages 463-481, April.
    2. Nishat Alam Choudhary & Shalabh Singh & Tobias Schoenherr & M. Ramkumar, 2023. "Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications," Annals of Operations Research, Springer, vol. 322(2), pages 565-607, March.
    3. Jana Krejčí & Alessio Ishizaka, 2018. "FAHPSort: A Fuzzy Extension of the AHPSort Method," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1119-1145, July.
    4. Pelin Toktaş & Gülin Feryal Can, 2019. "Stochastic KEMIRA-M Approach with Consistent Weightings," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 793-831, May.
    5. Kułakowski, Konrad & Mazurek, Jiří & Ramík, Jaroslav & Soltys, Michael, 2019. "When is the condition of order preservation met?," European Journal of Operational Research, Elsevier, vol. 277(1), pages 248-254.
    6. Nikola Kadoić & Diana Šimić & Jasna Mesarić & Nina Begičević Ređep, 2021. "Measuring Quality of Public Hospitals in Croatia Using a Multi-Criteria Approach," IJERPH, MDPI, vol. 18(19), pages 1-28, September.
    7. Chieh-Yu Lin & Fu-Chiang Shih & Yi-Hui Ho, 2023. "Applying the Balanced Scorecard to Build Service Performance Measurements of Medical Institutions: An AHP-DEMATEL Approach," IJERPH, MDPI, vol. 20(2), pages 1-17, January.
    8. Li, Yan-Lai & Tang, Jia-Fu & Chin, Kwai-Sang & Jiang, Yu-Shi & Han, Yi & Pu, Yun, 2011. "Estimating the final priority ratings of engineering characteristics in mature-period product improvement by MDBA and AHP," International Journal of Production Economics, Elsevier, vol. 131(2), pages 575-586, June.
    9. Nermin Kişi, 2019. "A Strategic Approach to Sustainable Tourism Development Using the A’WOT Hybrid Method: A Case Study of Zonguldak, Turkey," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    10. Jelena Lukić & Mirjana Misita & Dragan D. Milanović & Ankica Borota-Tišma & Aleksandra Janković, 2022. "Determining the Risk Level in Client Analysis by Applying Fuzzy Logic in Insurance Sector," Mathematics, MDPI, vol. 10(18), pages 1-17, September.
    11. Thomas L. Saaty, 2013. "The Modern Science of Multicriteria Decision Making and Its Practical Applications: The AHP/ANP Approach," Operations Research, INFORMS, vol. 61(5), pages 1101-1118, October.
    12. Yan Jia & Junfeng Wang & Xin Han & Haiqi Tang & Xiaoling Xiao, 2023. "Application and Performance Evaluation of Industrial Internet Platform in Power Generation Equipment Industry," Sustainability, MDPI, vol. 15(20), pages 1-30, October.
    13. Penglong Wang & Yao Wei & Fanglei Zhong & Xiaoyu Song & Bao Wang & Qinhua Wang, 2022. "Evaluation of Agricultural Water Resources Carrying Capacity and Its Influencing Factors: A Case Study of Townships in the Arid Region of Northwest China," Agriculture, MDPI, vol. 12(5), pages 1-24, May.
    14. Juan Cabello Eras & Dayli Covas Varela & Gilberto Hernández Pérez & Alexis Sagastume Gutiérrez & Dunia García Lorenzo & Carlo Vandecasteele & Luc Hens, 2014. "Comparative study of the urban quality of life in Cuban first-level cities from an objective dimension," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 16(1), pages 195-215, February.
    15. Madjid Tavana & Mariya Sodenkamp & Leena Suhl, 2010. "A soft multi-criteria decision analysis model with application to the European Union enlargement," Annals of Operations Research, Springer, vol. 181(1), pages 393-421, December.
    16. Anis Assad Neto & Jessyca Sampaio & Silvana Pereira Detro & Fernando Deschamps & Eduardo Alves Portela Santos & Eduardo de Freitas Rocha Loures, 2021. "Reconciling process flexibility and standardization: a case study in the automotive industry," Operations Management Research, Springer, vol. 14(3), pages 507-524, December.
    17. Meiran Zhiyenbayev & Nadezhda Kunicina & Madina Mansurova & Antons Patlins & Jelena Caiko & Vladimir Beliaev & Roberts Grants & Martins Bisenieks & Guldana Shyntore, 2024. "Development of Aggregated Sustainability Indicators for Quality of Life Evaluations in Urban Areas of the Republic of Kazakhstan," Sustainability, MDPI, vol. 16(21), pages 1-30, October.
    18. Villacreses, Geovanna & Gaona, Gabriel & Martínez-Gómez, Javier & Jijón, Diego Juan, 2017. "Wind farms suitability location using geographical information system (GIS), based on multi-criteria decision making (MCDM) methods: The case of continental Ecuador," Renewable Energy, Elsevier, vol. 109(C), pages 275-286.
    19. Feng, Zhiying & Tang, Wenhu & Niu, Zhewen & Wu, Qinghua, 2018. "Bi-level allocation of carbon emission permits based on clustering analysis and weighted voting: A case study in China," Applied Energy, Elsevier, vol. 228(C), pages 1122-1135.
    20. Wang, Xiaojun & Chan, Hing Kai & Li, Dong, 2015. "A case study of an integrated fuzzy methodology for green product development," European Journal of Operational Research, Elsevier, vol. 241(1), pages 212-223.

    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:jsusta:v:17:y:2025:i:2:p:800-:d:1571855. 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.