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Modeling effective drivers of law enforcement in good water governance
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Hossein Kohestani *   1, Parviz Golparvar2 , Hossein Yadavar1 |
1- Extension and Rural Development Department
2- Agricultural Jihad Organization |
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Abstract: (175 Views) |
Abstract
Introduction: The main purpose of this study was to model the drivers that affect the functioning of laws for good water governance in Iran. Materials: To achieve this goal, structural-interpretive modeling method was used. In terms of applied purpose, in terms of collecting descriptive-survey information and in terms of research paradigm, the present research is a combination of research (quantitative-qualitative) with an exploratory approach. The data collection tool was a researcher-construction questionnaire with a matrix nature. The statistical population of the study was 14 experts. Discussion of results: Based on Mikmak analysis in the dependent area, the factor of compatibility of laws with the economic situation of users and in the communication area. Factors: quality of related laws, monitoring of good implementation of laws, compatibility of laws with social status of users, compliance with laws and administrative regulations With the needs of water governance, anticipation of the enforcement of timely laws, public confidence in the results of law enforcement. Conclusion: Mikmak's analysis showed that the components in the dependent and communication areas have a greater role in determining the effective drivers in the functioning of laws and any action in the functioning of laws related to the water sector at the national level should be considered. And the position of the components that make up the dependent and communication factors. It is suggested that the guidelines for monitoring the proper implementation of laws be reviewed and that in the process of drafting and approving laws, the necessary attention be paid to the issue of compatibility of laws with the social status of users |
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| Keywords: Drivers, Microcomputer analysis, Good water governance, Rule of law, Structural-interpretive modeling |
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Full-Text [PDF 1088 kb]
(39 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2022/02/23 | Accepted: 2023/06/6 | Published: 2024/07/20
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