Prediction and analysis of water rights trading volume: Based on the water rights trading in Inner Mongolia, China

Chen, Xiang-nan; Wu, Fang; Li, Fang; Zhao, Yue; Xu, Xia

doi:10.1016/j.agwat.2022.107803

Cited by 5 publications

(1 citation statement)

References 17 publications

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“…Based on the dynamic game theory, Wu Dan et al [23] constructed the regional interest game and optimization model for the Daling River Basin in Liaoning province. Chen et al [24] introduced the theory of property rights and applied it to cross-market water rights transactions in Bayannaoer city and Ordos city. When constructing the water rights trading model, the above research did not consider the change in water demand of water users under normal and dry scenarios, and ignored the influence of key parameters on the economic benefits of the water rights trading system, resulting in the research results not meeting the actual water demand in the region and the adaptability being poor.…”

Section: Introductionmentioning

confidence: 99%

Study on the Optimal Allocation of Water Resources Based on the Perspective of Water Rights Trading

Wang,

Zhang,

et al. 2023

Sustainability

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Water rights trading plays an important role in the market mechanism to optimize the allocation of water resources. This study takes Luxian county of Sichuan province as the research area. Based on the prediction of water supply and demand, this study aims to achieve minimum water shortage and maximum economic benefits for regional water distribution, and introduces a water-saving reward and water price punishment mechanism to construct a two-layer collaborative regulation model of water rights trading for water users. The self-improved elite strategy and cogenetic algorithm (NSGA II-S) are used to solve the optimization model, and the optimal allocation of water resources and water rights trading in different towns in the planning year (2025 and 2030) under different flat and dry scenarios is studied. The results show that there would be an obvious problem in the uneven distribution of water resources between supply and demand in 2025 and 2030. The overall water shortage rates in the flat and dry scenario areas in 2025 are 13.71% and 31.99%, respectively, and the overall water shortage rates in the flat and dry scenario areas in 2030 are 11.55% and 31.94%, respectively. Water rights trading can increase the economic benefit value, with the economic benefit increasing by an average of CNY 614 million in all scenarios, an average increase of 8.68%. The research results could be helpful in alleviating the contradiction between the supply and demand of regional water resources and provide a theoretical basis for optimizing water resource allocation by means of water rights trading in the region.

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Section: Introductionmentioning

confidence: 99%

Study on the Optimal Allocation of Water Resources Based on the Perspective of Water Rights Trading

Wang,

Zhang,

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

Can water rights trading improve water resources use efficiency: empirical evidence from China’s pilot program

Yang,

Huang,

et al. 2024

Environ Dev Sustain

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Initial water rights allocation of Industry in the Yellow River basin driven by high-quality development

Chen

et al. 2023

Ecological Modelling

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Prediction and analysis of water rights trading volume: Based on the water rights trading in Inner Mongolia, China

Cited by 5 publications

References 17 publications

Study on the Optimal Allocation of Water Resources Based on the Perspective of Water Rights Trading

Study on the Optimal Allocation of Water Resources Based on the Perspective of Water Rights Trading

Can water rights trading improve water resources use efficiency: empirical evidence from China’s pilot program

Initial water rights allocation of Industry in the Yellow River basin driven by high-quality development

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