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

doi: 10.3390/su8040353
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.
- Korea University Korea (Republic of)
- Korea University Korea (Republic of)
- Sun Moon University Korea (Republic of)
- Sun Moon University Korea (Republic of)
- Korea University Japan
Environmental effects of industries and plants, TJ807-830, consumer welfare; count data model; public investment; riverrestoration; travel cost method, TD194-195, travel cost method, Renewable energy sources, Environmental sciences, GE1-350, public investment, river restoration, consumer welfare; count data model; public investment; river restoration; travel cost method, count data model, consumer welfare
Environmental effects of industries and plants, TJ807-830, consumer welfare; count data model; public investment; riverrestoration; travel cost method, TD194-195, travel cost method, Renewable energy sources, Environmental sciences, GE1-350, public investment, river restoration, consumer welfare; count data model; public investment; river restoration; travel cost method, count data model, consumer welfare
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