Version 1
: Received: 13 August 2018 / Approved: 13 August 2018 / Online: 13 August 2018 (12:26:24 CEST)
How to cite:
Kim, H. N.; Ahn, S. The Ex-Post Economic Evaluation of Water Resource Management in South Korea: Meta-Regression Analysis. Preprints2018, 2018080229. https://doi.org/10.20944/preprints201808.0229.v1
Kim, H. N.; Ahn, S. The Ex-Post Economic Evaluation of Water Resource Management in South Korea: Meta-Regression Analysis. Preprints 2018, 2018080229. https://doi.org/10.20944/preprints201808.0229.v1
Kim, H. N.; Ahn, S. The Ex-Post Economic Evaluation of Water Resource Management in South Korea: Meta-Regression Analysis. Preprints2018, 2018080229. https://doi.org/10.20944/preprints201808.0229.v1
APA Style
Kim, H. N., & Ahn, S. (2018). The Ex-Post Economic Evaluation of Water Resource Management in South Korea: Meta-Regression Analysis. Preprints. https://doi.org/10.20944/preprints201808.0229.v1
Chicago/Turabian Style
Kim, H. N. and SoEun Ahn. 2018 "The Ex-Post Economic Evaluation of Water Resource Management in South Korea: Meta-Regression Analysis" Preprints. https://doi.org/10.20944/preprints201808.0229.v1
Abstract
Water management can improve the quality of valuable ecosystem services but can be costly to implement and the management costs are covered by national taxes collected by water users. Based on 30 valuation studies of water quality improvement from the Environmental Valuation Information System (EVIS) database provided by Korea Environment Institute (KEI), a meta-regression analysis was employed to measure the benefits that major river basins provided to the society. We compare these benefits to the costs, namely River Management Funds (RMFs) which are financial resources to support a variety of projects for managing and improving upstream water quality. Based on benefit-cost comparison, this study evaluates the efficiency of water resource management in South Korea. This study also provides policy options that are helpful to maintain the sustainability of water resource by improving the planning and performance of water management in the long run.
Keywords
Economic evaluation; Water resource management; Meta-regression analysis; River management funds; Sustainability of water resources
Subject
Business, Economics and Management, Economics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
