Table 1. Description of Variables Used in the Regression Model
Variable |
Proportion |
Mean |
Std. Error |
Range |
Willingness to pay ($) |
5.79 |
7.72 |
0-36 | |
Age (years) |
16 46 38 |
39.89 |
11.73 |
17-72 3 binary variables: |
Gender |
0.52 |
0.50 |
1 = Male, 0 = Female | |
Education level |
0.76 |
0.43 |
1 = College education, | |
Family members |
4.50 |
2.04 |
1-15 | |
Household income ($ per |
789.80 |
648.99 |
100-4,000 | |
Household expenditures per |
126.10 |
130.58 |
2.5-992 | |
Water bill ($ per month) |
19.61 |
18.01 |
3-125 | |
Access to water 24 hours a day |
0.80 |
0.40 |
1=Yes 0=No | |
Perception about water tariff |
0.26 |
0.44 |
1= Expensive, | |
Perception about water |
0.22 |
0.42 |
0 = no satisfied, | |
Perception about water quality |
0.30 |
0.46 |
0 = no satisfied, | |
Perception about water service |
0.62 |
0.49 |
0 = no satisfied, | |
Potential solution to the |
0.84 |
0.37 |
0 = Maintain human 1= Buy land from private |
*It does not include the expenditure in water services.
More intriguing information
1. Keystone sector methodology:network analysis comparative study2. The name is absent
3. The name is absent
4. The name is absent
5. Group cooperation, inclusion and disaffected pupils: some responses to informal learning in the music classroom
6. The name is absent
7. Applications of Evolutionary Economic Geography
8. The name is absent
9. The name is absent
10. The name is absent