scholarly journals Benefit Transfer for Water Management along the Han River in South Korea Using Meta-Regression Analysis

Water ◽  
2016 ◽  
Vol 8 (11) ◽  
pp. 492 ◽  
Author(s):  
Hio-Jung Shin ◽  
Hyun Kim ◽  
Chul-Hyun Jeon ◽  
Min-Woo Jo ◽  
Trung Nguyen ◽  
...  
Keyword(s):  
Water Management ◽  
Regression Analysis ◽  
South Korea ◽  
Benefit Transfer ◽  
Han River ◽  
Meta Regression ◽  
Meta Regression Analysis

scholarly journals The Ex-Post Economic Evaluation of Water Resource Management in South Korea: Meta-Regression Analysis

2018 ◽  
Author(s):  
Hyun No Kim ◽  
SoEun Ahn
Keyword(s):  
Water Management ◽  
Water Quality ◽  
Regression Analysis ◽  
Resource Management ◽  
South Korea ◽  
Water Resource ◽  
Water Resource Management ◽  
Ex Post ◽  
Meta Regression ◽  
Meta Regression Analysis

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.

scholarly journals The Elasticity of Taxable Income: A Meta-Regression Analysis*

2021 ◽  
Author(s):  
Carina Neisser
Keyword(s):  
Regression Analysis ◽  
Policy Analysis ◽  
Selective Reporting ◽  
Tax Base ◽  
Taxable Income ◽  
Income Elasticities ◽  
Elasticity Of Taxable Income ◽  
Meta Regression ◽  
Meta Regression Analysis ◽  
Key Parameter

Abstract The elasticity of taxable income (ETI) is a key parameter in tax policy analysis. To examine the large variation found in the literature of taxable and broad income elasticities, I conduct a comprehensive meta-regression analysis using information from 61 studies containing 1,720 estimates. My findings reveal that estimated elasticities are not immutable parameters. They are correlated with contextual factors and the choice of the empirical specification influences the estimated elasticities. Finally, selective reporting bias is prevalent, and the direction of bias depends on whether deductions are included in the tax base.

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