Abstract
Regarding the relationship between value, resources, and environmental issues, how to use the principle of economic leverage to manage the demand for agricultural water resources has received increasing research attention. Yet, due to the complexity of how the water economy is structured and to uncertainty in how setting an agricultural water price will affect water demand responses, it is still unclear how to determine a reasonable way to charge for agricultural water. This study investigates the impact of water prices on regional cropping structure, irrigation water use, and environmental sustainability under different increasing price scenarios, using a positive mathematical programming (PMP) model based on GAMS software. The model was run and calibrated using 427 field survey data from the pilot areas in the Wei River Basin for the 2022 crop year. These pilot areas have been selected by local government for comprehensive reform to agricultural water pricing. Our results show that increasing the agricultural water price leads to changing of crop planting structure in the study area and to increase of water price elasticity. Furthermore, when the water price rose 200% and 400%, the pesticide input in site A decreased by 1.71% and 3.40%, respectively, and the fertilizer input in site B decreased by 1.05% and 2.03%, respectively. Therefore, our results support the positive role of Chinese authorities implementing water price reform policies in the Wei River Basin. The main contribution of this study lies in the use of a mathematical planning model to empirically analyze the response patterns of agricultural production to changes in water prices. The findings offer a valuable reference for China in establishing rational ranges for water price variations.
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Funding
This work was financially supported by the National Natural Science Foundation of China (42001221); the Shaanxi Social Science Fund (2022D049); the major projects of the humanities and Social Sciences base of the Ministry of Education (22JJD790052); the third Xinjiang Scientific Expedition and Research Program (No. 2022xjkk0305).
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L., Mu- Conceptualization, Formal analysis and software, Funding acquisition. Y., Wang- Methodology, Visualization, Data curation, Original draft preparation. B.R., Xue-Validation, Review and editing, supervision. All authors read and approved the final manuscript.
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Mu, L., Wang, Y. & Xue, B. The Impacts of Agricultural Water Pricing on Sustainable Agricultural Production. Water Resour Manage 38, 1061–1078 (2024). https://doi.org/10.1007/s11269-023-03709-4
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DOI: https://doi.org/10.1007/s11269-023-03709-4