Woretaw to collect the data. Statistical package ‘Stata 13’

Woretaw
et, al. (2017) The main determination of this study to investigation the
preferences of households and estimation the willingness to pay for improved
solid waste management services features in the form of money income and labour
struggle using choice experiment method household living in Debre Tabor town.
Multi stage stratified random sampling was used to draw sample households. In
this study, primary data were  used to a
collect data from 220 families alive in Debre tabor town. The Random Logit
Model (RPLM) and the Latent class Models (LCM) were used to estimate the
independent of the unrelated alternatives hypothesis and account preferences
heterogeneity for several solid waste management qualities.  The RPL result show that preferences for all
features were heterogonous among households a assumption that was supported by
the varied difference in LCM estimations between classes. The result further
shows that higher level of income, higher level of education and female headed
households preferred the upswing solid waste management interventions.

 

Akhter
et, al. (2017) Analysis household’s willingness to pay for improved solid waste
management. The study used primary and secondary data. Used structured
questionnaire to collect the primary data. The data were collected among 200
randomly selected households in Gulberg Lahore. 
The data was analysed using IBM SPSS. In this study result were shows
that majority of defendants were belong to middle class income are willing to
pay (WTP) an amount less than USD 4.8 for the improvement of waste management
facilities in this area.  

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Bhattarai,
K., Pathak, B., Binod, K.C (2017) Single bounded dichotomous choice contingent
valuation method (CVM) was used to estimate the household willingness to pay
for improved solid waste management in Birendranagar Municipality, Nepal. In
this study used Primary data. Structured questionnaire was used to collect the
data.  Statistical package ‘Stata 13’ was
used to analyzed the data.  Randomly
selected 300 households was based on cross sectional survey. 91.33% defendants
were interested in the improved solid waste management (SWM) services. 51.67%
defendants were willing to pay for offered proposal amount.  The results of this study show that mean
willingness to pay (WTP) was 90.12 per household each month. Results show that
level of education, level of income, bid amount and present waste collection
system are the features determining the household willingness to pay for
improved solid waste management in birendranagar municipality. In this area,
private service provider is charge 50 per household each month.

 

Trang
et, al. (2017) Used Dichotomins choice contingent valuation method to
estimating household willingness to pay (WTP) for improved solid waste
management in Thu Dau Mot City, Binh Duong China. The questionnaire was used to
a sample of 330 respondents for the study. The result shows that the mean
household willingness to pay for solid waste management system in Thu Dau mot
is about 24 thousand VND/month/households, higher than the current fee (20
thousand VND/month/household). The study used to logistic regression to create
the influence affecting to the family willingness to pay for solid waste
management system. The logit results show that those with a higher revenue and
more educated is willing to pay more for improvement in management of their
solid waste and the more environmental aware the individual the more they are
willingness to pay. Moreover, females are given a less likely a positive
response to willingness to pay (WTP) relate to male.

 

Batu
Muhdin et, al. (2016) determinants of household’s willingness to pay for better
solid waste management Ethiopia in jimma town. This study used the descriptive
analysis, cross tabulation, independent t-test, correlation and binary logistic
regression to analyses the household willingness to pay for improved solid
waste management in Ethiopia. Overall 200 samples are randomly selected from
jimma town. The outcome shows that majority of the defendants which is 88.5
percent stated that they have concern for environmental protection and safety.
56 percent of respondents are not satisfying for solid waste management
services. The majority (83.5%)of households are willing to pay (WTP) for
improved door to door waste collection services. The results show that
household willingness to pay for improved solid waste management is a
significant affect by income of household and amount of households generated by
households between other features.

 

Boateng
et, al. (2016) Using Contingent Valuation Method on the willingness of people
to pay for improved solid waste Disposal Services in urban Ghana. This study
examined the factors that influence the willingness to pay (WTP) for solid
waste disposal in the Kumasi Metropolis. Using a simple random sampling
technique chosen a sample size of 394 households. Logit regression was used to
estimate the influences that defendant’s observations of certain variables had
on people’s willingness to pay for waste disposal services. The study originates
that the zone of house, effective bye -laws level of education and income are
statistically significant about willingness to pay for the solid disposal
services. But, households size and defendant’s awareness of health hazards of
unselective waste disposal did not have any effect on defendant’s willingness
to pay for improved solid waste services.

 

Thirumarpan
and dilsath (2016) used binomial logistic regression to discovery out the
elements of household willingness to pay for improved solid waste management in
batticaloa, Sri Lanka.  In this study 100
household were studies used by proportionate sampling.  Here Binomial logistic regression was used to
find out the features of household’s willingness to pay (WTP).  The results demonstration that the average family
income and expenditure was 34,440 and 32,850 per month correspondingly. The
logistic regression show that family size and family expenditure significantly
and positively effects the family willingness to pay. The result shows that 59%
of families are willing to pay for improved solid waste management services in
batticaloa. Quantity of waste produced, quantity of
times arranging the waste and sex had a negative coefficient and were
significant (p

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