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

Guangyao Wang, Xinyue Zhang (), Lijuan Du, Bo Lei and Zhenghe Xu
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Guangyao Wang: College of Water Conservancy and Environment, University of Jinan, 336 Nanxinzhuang West Road, Shizhong District, Jinan 250022, China
Xinyue Zhang: State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, A-1 Fuxing Road, Haidian District, Beijing 100038, China
Lijuan Du: State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, A-1 Fuxing Road, Haidian District, Beijing 100038, China
Bo Lei: State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, A-1 Fuxing Road, Haidian District, Beijing 100038, China
Zhenghe Xu: College of Water Conservancy and Environment, University of Jinan, 336 Nanxinzhuang West Road, Shizhong District, Jinan 250022, China

Sustainability, 2023, vol. 15, issue 23, 1-19

Abstract: 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.

Keywords: water rights trading; initial allocation of water rights; optimize configuration; water-rich region (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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