Impact of Penalty Policy on Farmers’ Overexploitation Based on Agent-Based Modeling Framework
Publication: Journal of Water Resources Planning and Management
Volume 148, Issue 5
Abstract
One strategy to deal with unauthorized groundwater withdrawals by farmers is to impose penalties. Because farmers’ over-exploitation is subject to social, economic, cultural, and agricultural characteristics of the region, feedback assessments of a penalty policy using socio-economic simulation is indispensable. This study presents an agent-based framework to study the interaction among agricultural, environmental, and regulator agents within an agricultural system. The behavior of the agricultural sector was simulated at two levels: agricultural sub-agents, and agricultural group-agents. For agricultural sub-agents, individual benefit was maximized under behavioral and physical constraints simulated by a fuzzy inference system (FIS) and mathematical programing. A coupled linear optimization and nondominated sorting genetic algorithm (NSGA-II) were adopted to identify the best solution, from the agricultural sector’s viewpoint. The proposed framework was implemented in the Najaf Abad hydrological unit, situated in Isfahan province, central Iran, considering fixed and stepwise penalty approaches. Sensitivity analysis of the amount of base penalty in the fixed penalty scenario indicated that, under a $0.12 per cubic meter penalty, the annual over-exploitation declined from the current 79 million cubic meters (MCM) to zero. Furthermore, the results indicated that if the width of the step increased from 1 to , the over-exploitation increased by about .
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Data Availability Statement
All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
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Published In
Journal of Water Resources Planning and Management
Volume 148 • Issue 5 • May 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Jan 20, 2021
Accepted: Dec 23, 2021
Published online: Mar 10, 2022
Published in print: May 1, 2022
Discussion open until: Aug 10, 2022
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Cited by
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