IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i19p10978-d649248.html
   My bibliography  Save this article

Hybrid Economic-Environment-Ecology Land Planning Model under Uncertainty—A Case Study in Mekong Delta

Author

Listed:
  • Yuxiang Ma

    (College of Public Administration, Huazhong University of Science and Technology, Number 1037, Luoyu Road, Hongshan District, Wuhan 430074, China)

  • Min Zhou

    (College of Public Administration, Huazhong University of Science and Technology, Number 1037, Luoyu Road, Hongshan District, Wuhan 430074, China)

  • Chaonan Ma

    (College of Public Administration, Huazhong University of Science and Technology, Number 1037, Luoyu Road, Hongshan District, Wuhan 430074, China)

  • Mengcheng Wang

    (College of Public Administration, Huazhong University of Science and Technology, Number 1037, Luoyu Road, Hongshan District, Wuhan 430074, China)

  • Jiating Tu

    (College of Public Administration, Huazhong University of Science and Technology, Number 1037, Luoyu Road, Hongshan District, Wuhan 430074, China)

Abstract

The research on land natural resources as the leading factor in the Mekong Delta (MD) is insufficient. Facing the fragile and sensitive ecological environment of MD, how to allocate limited land resources to different land use types to obtain more economic benefits is a challenge that local land managers need to face. Three uncertainties in land use system, interval uncertainty, fuzzy uncertainty, and random uncertainty, are fully considered and an interval probabilistic fuzzy land use allocation (IPF-LUA) model is proposed and applied to multiple planning periods for MD. IPF-LUA considers not only the crucial socio-economic factors (food security, output of wood products, etc.) but also the ecological/environmental constraints in agricultural production (COD discharge, BOD5 discharge, antibiotic consumption, etc.). Therefore, it can effectively reflect the interaction among different aspects of MD land use system. The degree of environmental subordination is between 0.51 and 0.73, the net benefit of land system is between USD 23.31 × 10 9 and USD 24.24 × 10 9 in period 1, and USD 25.44 × 10 9 to 25.68 × 10 9 in period 2. The results show that the IPF-LUA model can help the decision-makers weigh the economic and ecological benefits under different objectives and work out an optimized land use allocation scheme.

Suggested Citation

  • Yuxiang Ma & Min Zhou & Chaonan Ma & Mengcheng Wang & Jiating Tu, 2021. "Hybrid Economic-Environment-Ecology Land Planning Model under Uncertainty—A Case Study in Mekong Delta," Sustainability, MDPI, vol. 13(19), pages 1-22, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:19:p:10978-:d:649248
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/19/10978/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/19/10978/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gaaff, Aris & Reinhard, Stijn, 2012. "Incorporating the value of ecological networks into cost–benefit analysis to improve spatially explicit land-use planning," Ecological Economics, Elsevier, vol. 73(C), pages 66-74.
    2. Namatama, Nathan, 2020. "An assessment of stakeholders’ participation in land use planning process of Luapula Province Planning Authority," Land Use Policy, Elsevier, vol. 97(C).
    3. Mardani Najafabadi, Mostafa & Ziaee, Saman & Nikouei, Alireza & Ahmadpour Borazjani, Mahmoud, 2019. "Mathematical programming model (MMP) for optimization of regional cropping patterns decisions: A case study," Agricultural Systems, Elsevier, vol. 173(C), pages 218-232.
    4. Arata, Linda & Diluiso, Francesca & Guastella, Gianni & Pareglio, Stefano & Sckokai, Paolo, 2021. "Willingness to pay for alternative features of land-use policies: the case of the lake Garda region," Land Use Policy, Elsevier, vol. 100(C).
    5. Pennington, Derric N. & Dalzell, Brent & Nelson, Erik & Mulla, David & Taff, Steve & Hawthorne, Peter & Polasky, Stephen, 2017. "Cost-effective Land Use Planning: Optimizing Land Use and Land Management Patterns to Maximize Social Benefits," Ecological Economics, Elsevier, vol. 139(C), pages 75-90.
    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. Qingsong He, 2023. "Urban Planning and Sustainable Land Use," Sustainability, MDPI, vol. 15(12), pages 1-4, June.

    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. Karner, Katrin & Schmid, Erwin & Schneider, Uwe A. & Mitter, Hermine, 2021. "Computing stochastic Pareto frontiers between economic and environmental goals for a semi-arid agricultural production region in Austria," Ecological Economics, Elsevier, vol. 185(C).
    2. Ana Esteso & M. M. E. Alemany & Angel Ortiz & Shaofeng Liu, 2022. "Optimization model to support sustainable crop planning for reducing unfairness among farmers," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(3), pages 1101-1127, September.
    3. Nouri, Milad & Homaee, Mehdi & Pereira, Luis S. & Bybordi, Mohammad, 2023. "Water management dilemma in the agricultural sector of Iran: A review focusing on water governance," Agricultural Water Management, Elsevier, vol. 288(C).
    4. Etter, Andrés & Andrade, Angela & Nelson, Cara R. & Cortés, Juliana & Saavedra, Kelly, 2020. "Assessing restoration priorities for high-risk ecosystems: An application of the IUCN Red List of Ecosystems," Land Use Policy, Elsevier, vol. 99(C).
    5. Tiziano Distefano & Pietro Guarnieri, 2019. "Collective Actions: a Network Approach," Discussion Papers 2019/244, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    6. Dadashpoor, Hashem & Sajadi, Afshin, 2024. "Principles of just urban land use planning," Land Use Policy, Elsevier, vol. 141(C).
    7. Hongmi Koo & Janina Kleemann & Christine Fürst, 2018. "Land Use Scenario Modeling Based on Local Knowledge for the Provision of Ecosystem Services in Northern Ghana," Land, MDPI, vol. 7(2), pages 1-21, May.
    8. Nikouei, Alireza & Asgharipour, Mohammad Reza & Marzban, Zahra, 2022. "Modeling land allocation to produce crops under economic and environmental goals in Iran: a multi-objective programming approach," Ecological Modelling, Elsevier, vol. 471(C).
    9. Wang, Yafei & He, Yao & Fan, Jie & Olsson, Lennart & Scown, Murray, 2024. "Balancing urbanization, agricultural production and ecological integrity: A cross-scale landscape functional and structural approach in China," Land Use Policy, Elsevier, vol. 141(C).
    10. Muñoz Gielen, Demetrio & Mualam, Nir, 2019. "A framework for analyzing the effectiveness and efficiency of land readjustment regulations: Comparison of Germany, Spain and Israel," Land Use Policy, Elsevier, vol. 87(C).
    11. Juutinen, Artti & Tolvanen, Anne & Saarimaa, Miia & Ojanen, Paavo & Sarkkola, Sakari & Ahtikoski, Anssi & Haikarainen, Soili & Karhu, Jouni & Haara, Arto & Nieminen, Mika & Penttilä, Timo & Nousiainen, 2020. "Cost-effective land-use options of drained peatlands– integrated biophysical-economic modeling approach," Ecological Economics, Elsevier, vol. 175(C).
    12. Huihui Zheng & Zhiting Sang & Kaige Wang & Yan Xu & Zhaoyang Cai, 2022. "Distribution of Irrigated and Rainfed Agricultural Land in a Semi-Arid Sandy Area," Land, MDPI, vol. 11(10), pages 1-13, September.
    13. Mostafa Mardani Najafabadi & Niloofar Ashktorab, 2023. "Mathematical programming approaches for modeling a sustainable cropping pattern under uncertainty: a case study in Southern Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 9731-9755, September.
    14. Yang, Yitao & Jia, Bin & Yan, Xiao-Yong & Zhi, Danyue & Song, Dongdong & Chen, Yan & de Bok, Michiel & Tavasszy, Lóránt A. & Gao, Ziyou, 2023. "Uncovering and modeling the hierarchical organization of urban heavy truck flows," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    15. Przemysław Śleszyński & Maciej Nowak & Paweł Sudra & Magdalena Załęczna & Małgorzata Blaszke, 2021. "Economic Consequences of Adopting Local Spatial Development Plans for the Spatial Management System: The Case of Poland," Land, MDPI, vol. 10(2), pages 1-22, January.
    16. Xu, Yuelu & Elbakidze, Levan & Yen, Haw & Arnold, Jeffrey G. & Gassman, Philip W. & Hubbart, Jason & Strager, Michael P., 2022. "Integrated assessment of nitrogen runoff to the Gulf of Mexico," Resource and Energy Economics, Elsevier, vol. 67(C).
    17. Mostafa Mardani Najafabadi & Abbas Mirzaei & Hassan Azarm & Siamak Nikmehr, 2022. "Managing Water Supply and Demand to Achieve Economic and Environmental Objectives: Application of Mathematical Programming and ANFIS Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(9), pages 3007-3027, July.
    18. Paulina Legutko-Kobus & Maciej Nowak & Alexandru-Ionut Petrisor & Dan Bărbulescu & Cerasella Craciun & Atena-Ioana Gârjoabă, 2023. "Protection of Environmental and Natural Values of Urban Areas against Investment Pressure: A Case Study of Romania and Poland," Land, MDPI, vol. 12(1), pages 1-33, January.
    19. Dariane, A.B. & Ghasemi, M. & Karami, F. & Azaranfar, A. & Hatami, S., 2021. "Crop pattern optimization in a multi-reservoir system by combining many-objective and social choice methods," Agricultural Water Management, Elsevier, vol. 257(C).
    20. Tardieu, Léa & Roussel, Sébastien & Salles, Jean-Michel, 2013. "Assessing and mapping global climate regulation service loss induced by Terrestrial Transport Infrastructure construction," Ecosystem Services, Elsevier, vol. 4(C), pages 73-81.

    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:13:y:2021:i:19:p:10978-:d:649248. 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.