About dataset
Endo, I., Walton, M., Chae, S., Park, G. Estimating benefits of improving water quality in the largest remaining tidal flat in South Korea.
The dataset used in this paper consists of 378 samples of Koreans (18 years or older) visiting the Ganghwa southern tidal flat in 2009. There are 1,512 observations (a quadruple of 378 samples) and 19 variables in the dataset; the file size is 93,049 bytes.
The data are saved in comma-separated format with the variables appearing in the order listed below. Definitions and summary statistics of some of the variables used in regression analyses are given in Table 2 of the paper.
1. id: Sample number
2. home: Home address (province/city)
3. distance: Travel distance to the site one way (km)
4. time: Travel time to the site one way (minutes)
5. cost: Travel cost to visit the site per person per trip (Korean won [KRW] 1,000)
6. car: 1 if car used; 0, otherwise
7. bus: 1 if bus used; 0, otherwise
8. passenger: Number of people in the car
9. visit: Number of visits per person per year to the site
10. day: Number of days to stay per trip
11. place: Number of places, including the site, to visit per trip
12. age: Respondent’s age
13. education: Number of years of a respondent’s education
14. income: Respondent’s annual income (KRW 1 million)
15. gender: Respondent’s gender (1 if female; 0, otherwise)
16. scenario: Variable denoting water quality (1 if degraded without management; 2, improved with management; 3, degraded with power plant development; 0, otherwise)
17. scenairo1: Indicator variable denoting water quality (1 if degraded without management; 0, otherwise)
18. scenairo2: Indicator variable denoting water quality (1 if improved with management; 0, otherwise)
19. scenairo3: Indicator variable denoting water quality (1 if degraded with power plant development; 0, otherwise)