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Revealed Preference and Effectiveness of Public Investment in Ecological River Restoration Projects: An Application of the Count Data Model

Authors
Lee, YoonKim, HwansukHong, Yongsuk
Issue Date
Apr-2016
Publisher
MDPI
Keywords
consumer welfare; count data model; public investment; river restoration; travel cost method
Citation
SUSTAINABILITY, v.8, no.4
Indexed
SCIE
SSCI
SCOPUS
Journal Title
SUSTAINABILITY
Volume
8
Number
4
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/89164
DOI
10.3390/su8040353
ISSN
2071-1050
Abstract
Ecological river restoration projects aim to revitalize healthy and self-sustaining river systems that can provide irreplaceable benefits to human society. Cheonggyecheon and Anyangcheon are two sites of recent river restoration projects in Korea. To assess the economic value of two rivers, count data was collected to conduct the individual travel cost method (ITCM) in this study. Five statistical models such as the Poisson, the negative binomial, the zero-truncated Poisson, the negative binomial, and negative binomial model adjusted for both truncation and endogenous stratification were used in the analysis due to the nature of count data. Empirical results showed that regressors were statistically significant and corresponded to conventional consumer theory. Since collected count data indicated over-dispersion and endogenous stratification, the adjusted Negative Binomial was selected as an optimal model to analyze the recreational value of Cheonggyecheon and Anyangcheon. Estimates of the annual economic value of two river restoration projects were approximately US $170.1 million and US $50.5 million, respectively.
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