IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v280y2023ics037837742300077x.html
   My bibliography  Save this article

Sustainable management of agricultural water rights trading under uncertainty: An optimization-evaluation framework

Author

Listed:
  • Xu, Xianghui
  • Chen, Yingshan
  • Zhou, Yan
  • Liu, Wuyuan
  • Zhang, Xinrui
  • Li, Mo

Abstract

The optimal allocation of agricultural water rights is of great importance in promoting the efficient management of water resources in irrigation areas. In the process of agricultural water rights allocation, problems develop when the dynamics and uncertainties caused by changes in water cycle elements are ignored. To balance socioeconomic development and environmental protection, this study develops a model framework for evaluating and optimizing the synergistic management of agricultural water rights allocation trading under multiple uncertainties (AWRAS-TCME). The model is capable of reflecting the dynamic changes in meteorological and hydrological factors such as rainfall, evapotranspiration and runoff and quantitatively measures the synergistic effect of multidimensional objectives of the economy-society-resources-environment on water rights allocations and transactions. The AWRAS-TCME model integrates a two-level multiobjective nonlinear programming model and a projection tracking model into a framework to measure the fairness and economic benefits of water rights allocation based on an analysis of the sustainability of water rights prices in multiple dimensions, fully considering the influence of uncertainties in hydrological and social systems. The model was applied to an actual irrigation area, and the results showed that (1) total optimized water rights allocation was reduced by 4.7–20.9% at different levels of water supply and demand; (2) the total volume of water rights transfer among regions was increased by 4.8%−12.9%, and the trading volume of the water rights market was increased to account for 5%−16.2% of the total revenue; and (3) the optimal net income of water rights allocation was increased by 1.2%−3.3%, and the equity of water rights allocation was increased by 0.06–0.09. The developed model promotes the sustainable utilization of agricultural water resources in irrigated areas.

Suggested Citation

  • Xu, Xianghui & Chen, Yingshan & Zhou, Yan & Liu, Wuyuan & Zhang, Xinrui & Li, Mo, 2023. "Sustainable management of agricultural water rights trading under uncertainty: An optimization-evaluation framework," Agricultural Water Management, Elsevier, vol. 280(C).
    • Handle: RePEc:eee:agiwat:v:280:y:2023:i:c:s037837742300077x
    DOI: 10.1016/j.agwat.2023.108212
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037837742300077X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2023.108212?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Alec Zuo & Céline Nauges & Sarah Ann Wheeler, 2015. "Farmers' exposure to risk and their temporary water trading," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 42(1), pages 1-24.
    2. Linker, Raphael, 2020. "Unified framework for model-based optimal allocation of crop areas and water," Agricultural Water Management, Elsevier, vol. 228(C).
    3. Zhao, Jiongchao & Han, Tong & Wang, Chong & Shi, Xiaoyu & Wang, Kaicheng & Zhao, Mingyu & Chen, Fu & Chu, Qingquan, 2022. "Assessing variation and driving factors of the county-scale water footprint for soybean production in China," Agricultural Water Management, Elsevier, vol. 263(C).
    4. Zhang, Xiaoxing & Guo, Ping & Zhang, Fan & Liu, Xiao & Yue, Qiong & Wang, Youzhi, 2021. "Optimal irrigation water allocation in Hetao Irrigation District considering decision makers’ preference under uncertainties," Agricultural Water Management, Elsevier, vol. 246(C).
    5. Muhammad Mumtaz Khan & Mansour Hamed Al-Haddabi & Muhammad Tahir Akram & Muhammad Azam Khan & Aitazaz A. Farooque & Sajjad Ahmad Siddiqi, 2021. "Assessment of Non-Conventional Irrigation Water in Greenhouse Cucumber ( Cucumis sativus ) Production," Sustainability, MDPI, vol. 14(1), pages 1-13, December.
    6. Douglas, Paul H, 1976. "The Cobb-Douglas Production Function Once Again: Its History, Its Testing, and Some New Empirical Values," Journal of Political Economy, University of Chicago Press, vol. 84(5), pages 903-915, October.
    7. Shaojian Chen & Yuanyuan Cao & Jun Li, 2021. "The Effect of Water Rights Trading Policy on Water Resource Utilization Efficiency: Evidence from a Quasi-Natural Experiment in China," Sustainability, MDPI, vol. 13(9), pages 1-17, May.
    8. Berbel, Julio & Expósito, Alfonso, 2022. "A decision model for stochastic optimization of seasonal irrigation-water allocation," Agricultural Water Management, Elsevier, vol. 262(C).
    9. Sadeh, A. & Ravina, I., 2000. "Relationships between yield and irrigation with low-quality water -- a system approach," Agricultural Systems, Elsevier, vol. 64(2), pages 99-113, May.
    10. Li, Mo & Cao, Xiaoxu & Liu, Dong & Fu, Qiang & Li, Tianxiao & Shang, Ruochen, 2022. "Sustainable management of agricultural water and land resources under changing climate and socio-economic conditions: A multi-dimensional optimization approach," Agricultural Water Management, Elsevier, vol. 259(C).
    11. Yan, Dong & Chen, Lin & Sun, Huaiwei & Liao, Weihong & Chen, Haorui & Wei, Guanghui & Zhang, Wenxin & Tuo, Ye, 2022. "Allocation of ecological water rights considering ecological networks in arid watersheds: A framework and case study of Tarim River basin," Agricultural Water Management, Elsevier, vol. 267(C).
    12. Wang, Y.B. & Liu, D. & Cao, X.C. & Yang, Z.Y. & Song, J.F. & Chen, D.Y. & Sun, S.K., 2017. "Agricultural water rights trading and virtual water export compensation coupling model: A case study of an irrigation district in China," Agricultural Water Management, Elsevier, vol. 180(PA), pages 99-106.
    13. Yan Liu & Chao Shang, 2022. "Application of Blockchain Technology in Agricultural Water Rights Trade Management," Sustainability, MDPI, vol. 14(12), pages 1-10, June.
    14. Huang, Ya & Zhang, Zhe & Li, Zhenhua & Dai, Danqiong & Li, Yanping, 2022. "Evaluation of water use efficiency and optimal irrigation quantity of spring maize in Hetao Irrigation District using the Noah-MP Land Surface Model," Agricultural Water Management, Elsevier, vol. 264(C).
    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. Zhang, Fan & Cui, Ningbo & Guo, Shanshan & Yue, Qiong & Jiang, Shouzheng & Zhu, Bin & Yu, Xiuyun, 2023. "Irrigation strategy optimization in irrigation districts with seasonal agricultural drought in southwest China: A copula-based stochastic multiobjective approach," Agricultural Water Management, Elsevier, vol. 282(C).
    2. Li, Shuoyang & Yang, Guiyu & Wang, Hao & Song, Xiufang & Chang, Cui & Du, Jie & Gao, Danyang, 2023. "A spatial-temporal optimal allocation method of irrigation water resources considering groundwater level," Agricultural Water Management, Elsevier, vol. 275(C).
    3. Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & de Pinho Matos, Giordano Bruno Braz, 2015. "Statistical evaluation of Data Envelopment Analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 47-60.
    4. Cao, Zhaodan & Zhu, Tingju & Cai, Ximing, 2023. "Hydro-agro-economic optimization for irrigated farming in an arid region: The Hetao Irrigation District, Inner Mongolia," Agricultural Water Management, Elsevier, vol. 277(C).
    5. Jael, Paul, 2019. "Does Marginal Productivity Mean Anything in Real Economic Life ?," MPRA Paper 97968, University Library of Munich, Germany, revised Jan 2020.
    6. Martina Bozzola & Robert Finger, 2021. "Stability of risk attitude, agricultural policies and production shocks: evidence from Italy," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(3), pages 477-501.
    7. Fanglin LI & Michael APPIAH & Regina Naa Amua DODOO, 2020. "The Effects Of Technology And Labor On Growth In Emerging Countries," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 12(2), pages 39-47, June.
    8. Bopp, Carlos & Jara-Rojas, Roberto & Bravo-Ureta, Boris & Engler, Alejandra, 2022. "Irrigation water use, shadow values and productivity: Evidence from stochastic production frontiers in vineyards," Agricultural Water Management, Elsevier, vol. 271(C).
    9. Li, Lu & Zhou, Yan & Li, Mo & Cao, Kaihua & Tao, Yanhuai & Liu, Yangdachuan, 2022. "Integrated modelling for cropping pattern optimization and planning considering the synergy of water resources-society-economy-ecology-environment system," Agricultural Water Management, Elsevier, vol. 271(C).
    10. Siyu Yue & Huaien Li & Fengmin Song, 2023. "Temporal–Spatial Variations in the Economic Value Produced by Environmental Flows in a Water Shortage Area in Northwest China," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    11. Saeed P. Langarudi & Carlos G. Silva & Alexander G. Fernald, 2021. "Measure more or report faster? Effect of information perception on management of commons," System Dynamics Review, System Dynamics Society, vol. 37(1), pages 72-92, January.
    12. Julien Forder & Florin Vadean & Stacey Rand & Juliette Malley, 2018. "The impact of long‐term care on quality of life," Health Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 43-58, March.
    13. Changhai Qin & Shan Jiang & Yong Zhao & Yongnan Zhu & Qingming Wang & Lizhen Wang & Junlin Qu & Ming Wang, 2022. "Research on Water Rights Trading and Pricing Model between Agriculture and Energy Development in Ningxia, China," Sustainability, MDPI, vol. 14(23), pages 1-15, November.
    14. Wang, Taishan & Zhang, Junlong & You, Li & Zeng, Xueting & Ma, Yuan & Li, Yongping & Huang, Guohe, 2023. "Optimal design of two-dimensional water trading considering hybrid “three waters”-government participation for an agricultural watershed," Agricultural Water Management, Elsevier, vol. 288(C).
    15. Catarina Roseta‐Palma & Yiğit Sağlam, 2019. "Downside risk in reservoir management," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(2), pages 328-353, April.
    16. Montresor, Sandro & Vezzani, Antonio, 2015. "The production function of top R&D investors: Accounting for size and sector heterogeneity with quantile estimations," Research Policy, Elsevier, vol. 44(2), pages 381-393.
    17. Yan Liu & Chao Shang, 2022. "Application of Blockchain Technology in Agricultural Water Rights Trade Management," Sustainability, MDPI, vol. 14(12), pages 1-10, June.
    18. Patalinghug Jason C., 2019. "Estimation of a Production Function for Philippine Retail Stores," Economics, Sciendo, vol. 7(1), pages 69-79, June.
    19. Roman G. Smirnov & Kunpeng Wang, 2019. "The Cobb-Douglas production function revisited," Papers 1910.06739, arXiv.org, revised Oct 2019.
    20. Bravo-Ureta, Boris E. & Rieger, Laszlo & Quiroga, Ricardo E., 1990. "Fixed Effects and Stochastic Frontier Estimates of Firm-Level Technical Efficiency," 1990 Annual meeting, August 5-8, Vancouver, Canada 270867, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    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:eee:agiwat:v:280:y:2023:i:c:s037837742300077x. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    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.