Naz, Antonia Corinthia C and Mario Tuscan N. Naz. 2006. Modeling ...

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Figure 1: BLOCK A, CHOICE SET 2 Attributes of an Ecological Solid Waste Management Service A. Collector of Waste B. Waste Segregation at Source * C. Frequency or No. of Times of Waste Collection in a Week D. Location of Waste Collection and Mode of Payment of Fee * E. Garbage fee in Philippine Pesos, PhP Please check your choice Options 1 2 Municipal workers with garbage Barangay workers with truck hired jeepney Waste Segregation not required • Workers will be hired to segregate wastes after they are collected Twice Curbside and "Pay to the barangay treasurer" 20 per week Or 80 per month Waste Segregation required • No segregation, no collection Once Modified pick-up and "Pay as you throw" 5 per week Or 20 per month - - - - - - - - - -- - - - - - - - - -- - - - - - - - - -- - - - - - - - - -- - - - - - - - - -- - - - - - - - - -- - - • Note: Attributes waste segregation and location of waste collection and mode of payment of fee were recorded into a 3 level attribute, WTL Random cluster sampling was used. In each sitio or sub-barangay to be covered by the ECOSWAM service, the researchers took as sample, every third household from the list of households. The sample size for the household survey consisted of 604 respondents or at least 200 respondents from each of the three priority barangays. According to Mitchell and Carson (1990:225), the usable sample sizes needed for respondents from the households and business establishments are shown in Table 3 Table 3: Sampling Size for Households and Business Establishments Respondents Usable Sample Size Sample Size Population Sample Size as a V= 2.0 , α = 0.10 (2004) Percent of Total Population ∆ = 0.15 ∆ = 0.30 Households 508 600 7,391 8.12 Business establishments (with business permits) 12 127 150 731 20.5
Where: V = coefficient of variation ∆ = possible deviation as a percentage of the mean revealed WTP α = 0.10 indicates that 90% of the time estimated mean WTP will be within ∆ of true mean WTP 3.2.1.3. The Definition of Variables and the Econometric Models Models for Households Model 1: Basic Model (ECOSWAM Attributes only) of the Base Case ViH = f (Xk, εH) (6a) ViH = ASCH + β1H * C + β2H * F + β3H * P + β4H * WTL1 + β5H * WTL2 (6b) Model 2: Complete or Expanded Model (ECOSWAM attributes interacted with the characteristics of the households) of the Base Case ViHC = f (Xk, ZmH, εH) (7) Where: i = option = 1, 2; option 2 is the base case in the choice set ViH = The probability that the household (respondent) will choose the ith option in the choice set X k = Attributes of the ECOSWAM options (see Table 3.1) ASCH = Alternative specific constant for households β k = Coefficients of the attributes, X k Z mH = Individual characteristics of the household (H) interacted with the attributes of the ECOSWAM service options α mH = Coefficients of the Z mH interacted with a XK εH = Error term to explain other factors affecting the choice that are not included in the model for households Subscript H = Basic Household Model 1 Subscript HC = Complete or Expanded Household Model 2 Table 4: Variables in the Choice Models for the Households Variable / Description and Codes Coefficient Dependent Variable The probability that the household (respondent) will choose the ith option in ViH the choice set Independent Variables Xk Attributes of ECOSWAM Services C Collector of waste and waste collection or transport vehicle Level 1: barangay workers with hired vehicle, e.g., jeepney (0) Level 2: municipal workers with truck (1) F Frequency or number of times waste is collected in a week Level 1: Once a week (1); Level 2: Twice a week (2) P Price of the ECOSWAM service or the user fee Level 1: PhP5/week(5) Level 2: PhP10/week(10) Level 3: PhP15/week(15) Level 4: Php20/week(20) 13
Page 1 and 2: Economy and Environment Program for
Page 3 and 4: MODELING CHOICES FOR ECOLOGICAL SOL
Page 5 and 6: ACKNOWLEDGEMENTS The researchers wi
Page 7 and 8: APPENDICES A. List of Enumerators a
Page 9 and 10: MODELING CHOICES FOR ECOLOGICAL SOL
Page 11 and 12: established nationwide. The cost of
Page 13 and 14: Gottinger (1991) found out that the
Page 15 and 16: Urbanized cities in the Philippines
Page 17 and 18: Equation (4) can be estimated using
Page 19: 3.2.1.1. Attributes and Levels of P
Page 23 and 24: Table 5: Attributes and Levels of t
Page 25 and 26: Table 6: Variables in the Utility E
Page 27 and 28: a build-operate-transfer arrangemen
Page 29 and 30: Both groups were in favor of a prop
Page 31 and 32: * Significant at 10% level; ** Sign
Page 33 and 34: Variables Model 1 (Attributes only)
Page 35 and 36: staff, i.e., it can no longer hire
Page 37 and 38: The study compared Tuba’s estimat
Page 39 and 40: 7.0 SUMMARY AND CONCLUSIONS The stu
Page 41 and 42: d. The funding gap could be address
Page 43 and 44: GHK/ MRM International, Ltd, 1995.
Page 45 and 46: APPENDIX A List of Enumerators in t
Page 47 and 48: Stage 2: Collection and Transport N
Page 49 and 50: 8. Uniforms, protective gear 7 1,00
Page 51 and 52: 6. Supplies and materials 12 1,500
Page 53 and 54: Cost Per Ton PhP 2,480.30 USD 46.67

Naz, Antonia Corinthia C and Mario Tuscan N. Naz. 2006. Modeling ...

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