Figure 1: Ethnicity of respondents in the study area
Figure 2: Education status of respondents
Figure 3: Response on whether the respondents are being charged for municipal solid wastes pick up
Figure 4: Response on willingness to pay for better solid waste management
Figure 5: Response on if willing to pay Rs. 150/month
Figure 6: Response on if willing to pay Rs. 200/month
Figure 7: Response on what is to be done on existing dumping site

Indepenent variables

Effect on agricultural production

Increase in disease incidence

Effect on aquatic life

Address (Butwal=1)

29.718(3.392)**

0.35(-1.032)*

0.650(-.043)

Gender

2.082(0.733)

1.031(0.031)

1.675(0.516)

Ethnicity

0.464(-0.768)

1.275(0.243)

0.850(-0.163)

Education

15.076(2.713)**

1.139(-0.130)

1.098(0.094)

salary

0.508(-0.678)

0.549(-0.599)**

0.846(-0.167)

Family size

1.011(0.011)

1.028(0.028)

0.996(-0.004)

Intercept

0.061(-2.79)

2.398(0.875)

1.065(0.063)

Model Chi square

35.072***

14.81*

3.469

Degree of freedom

6

6

6

-2 log likelihood

62.173

111.98

131.13

Negelkerke pseudo R2

0.476

0.192

0.046

% correctly predicted

81

73

60

Table 1: Odds Ratios (Logit coefficients) from logistic regression estimating the factors influencing the response on effect of improper waste disposal (n=100)

Indepenent variables

Reuse of wastes

Recycling of wastes

Reduction of wastes

Address (Butwal=1)

0.596(-0.518)

0.102(-2.27)**

0.906(-0.099)

Gender

2.825(1.038)

3.49(1.251)

0.692(-0.368)

Ethnicity

1.049(0.04)

1.81(0.59)

0.674(-0.394)

Education

11.57(2.44)*

1.91(0.65)

0.850(-0.163)

salary

1.19(0.174)

1.32(0.28)

1.175(0.161)

Family size

0.83(-0.159)*

1.03(0.03)

1.039(0.038)

Intercept

1.225(0.20)

5.02(1.61)*

0.854(-0.158)

Model Chi square

13.98*

15.67**

2.91

Degree of freedom

6

6

6

-2 log likelihood

124.48

75.5

135.35

Negelkerke pseudo R2

0.174

0.24

0.038

% correctly predicted

63

81

56

Table 2: Odds Ratios (Logit coefficients) from logistic regression estimating the factors influencing reusing, recycling and reducing of solid wastes (n=100)
Figure in parenthesis are logit coefficient
*=p<0.05, **=p<0.01, ***=p<0.001

Indepenent variables

Willingness to pay

Willing to pay @ Rs. 100/month

Address (Butwal=1)

0.491(-0.711)

0.088(-2.46)***

Gender

1.74(0.554)

1.342(0.294)

Ethnicity

1.05(0.05)

1.413(0.346)

Education

2.42(0.88)

1.56(0.445)

salary

0.89(-0.109)

0.695(-0.363)*

Family size

0.983(-0.107)

0.964(-0.036)

Intercept

0.555(-0.589)

8.155(2.099)**

Model Chi square

4.43

30.731***

Degree of freedom

6

6

-2 log likelihood

114.15

107.858

Negelkerke pseudo R2

0.062

0.353

% correctly predicted

73

75

Table 3: Odds Ratios (Logit coefficients) from logistic regression estimating the factors influencing willingness to pay and amount of payment (n=100)
Figure in parenthesis are logit coefficient
*=p<0.05, **=p<0.01, ***=p<0.001

Independent variables

Waste segregation

Dumping

Burning

Composting

Address (Butwal=1)

4.092(1.409)**

0.081(-2.517)***

1.233(0.210)

2.006(0.696)

Gender

2.074(0.730)

0.855(-0.122)

1.563(0.446)

1.074(0.072)

Ethnicity

0.782(-0.246)

4.237(1.444)*

1.950(0.668)

0.870(-0.139)

Education

0.568(-0.566)

2.018(0.702)

7.304(1.988)*

0.285(-1.256)*

salary

0.790(-0.235)

0.861(-0.150)

0.877(-0.131)

0.796(-0.228)

Family size

0.958(-0.043)

1.111(0.105)

0.958(-0.043)

0.976(-0.025)

Intercept

1.944(0.665)

2.228(0.826)

0.673(-0.396)

3.737(1.318)*

Model Chi square

11.74*

27.343***

11.34*

5.107

Degree of freedom

6

6

6

6

-2 log likelihood

117.74

110.284

125.31

118.71

Negelkerke pseudo R2

0.153

0.320

0.144

0.070

% correctly predicted

65

73

57

69

Table 4: Odds Ratios (Logit coefficients) from logistic regression estimating the factors influencing alternatives used to manage solid wastes (n=100)
Figure in parenthesis are logit coefficient
*=p<0.05, **=p<0.01, ***=p<0.001

spot

pH

Do(mg/l)

Temp(Celsius)

Turbidity (NTU)

TDS (mg/l)

Dande (upstream)

1

7.1a

9.7a

30.4a

10a

100a

2

7.1a

7.8 a

31.2a

10a

98a

3

6.9a

7.8 a

29.7a

10a

98a

4

6.9a

7.5a

30.1a

10a

96.5a

5

6.5a

7.8 a

30.1a

10a

99.6a

Dande Downstream

1

5.1a

5.4b

31.6a

14b

289b

2

6.9a

5.3b

30.4a

14b

296b

3

6.9a

5.6b

29.4a

14b

300b

4

6.3a

5.8b

29.15a

14b

300b

5

6.1a

5.3b

29.1a

14b

298 a

Table 5: Parameters value of Dande River, Bhairahawa

Spot

pH

Do(mg/l)

Temp(Celsius)

Turbidity (NTU)

TDS (mg/l)

Tinau upstream

1

7.5 a

8.2 a

25.2 a

14 a

99 a

2

7.5 a

8 a

25.35 a

14 a

99 a

3

7.5 a

8.3 a

25.65 a

14 a

98 a

4

6.5 a

8.1 a

26.05 a

15 a

100 a

5

7.5 a

8.5 a

26.4 a

14 a

99 a

Tinau Downstream

1

7.2 a

6.8 b

27.5 b

18 b

200 b

2

7.5 a

6.7 b

27.9 b

18 b

200 b

3

7.2 a

6.9 b

28.3 b

18 b

198 b

4

6.9 a

7.1 b

29.1 b

18 b

198 b

5

7 a

7.2b

29.2 b

18 b

198 b

Table 6: Parameters value of Tinau River, Bhairahawa