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<0.05). It is suggested that families should be educated on effective solid waste disposal through regular sensitization programmed by a collective struggle of key participants in the solid waste management.   Mustafa et, al. (2014) Using contingent valuation Method (CVM) to Capturing Willingness to pay and its factors for solid waste management in region Abbottabad. Primary data were utilized in this research.  The binominal logit regression were used to give the   household willingness to pay (WTP) for improved environment over better solid waste management. The result show that education, income, awareness, location and household size was found to be inducing willingness to pay (WTP).  The study protest that the households demand for improved environmental situations over appreciating their willingness to pay for better solid waste management services. The result show that follows contingent valuation method for measuring the household's preferences for well living standards.   Addai et, al. (2014). Used double-bound choice contingent valuation method to elect household willingness to pay (WTP) for improved Solid Waste Management in Ghana. Logit regression technique use to analyses the data. The study also observes the current solid waste management system in process and household level of satisfaction with them. In this study, the result shows that households perceived the current solid waste collection services to have some level of inconsistencies. There are many peoples were satisfied with the current solid waste management services. The results show that willingness to pay (WTP) for improved solid waste management is significant relationship between the gender, level of education, age of the household's head and household size. It is the recommendation that the present collection workers should stay facility charges with the willingness to pay (WTP) levels although determined to improve services to maintain and consideration new customers.   Anjum (2013), in Pakistan, utilizing logistic and multiple regression to examination the willingness to pay for solid waste management in Islamabad they recognized that willingness to pay for solid waste management is significantly affected by age, household income, education and environmental awareness. The stratified random sampling technique was used to resolve of sample size of five hundred defendants. A double bounded dichotomous choice questions surveyed by an open-ended question plan was used to prompt willingness to pay and maximum willingness of the respondents. A logistic regression estimation shows that 65.4% of the total respondents are willing to pay while multiple regression estimation exposes willingness to pay of 289.15 Rs. Which is significantly effect by education age household income and environmental awareness.   Khattak et, al. (2013). Binomial logit model has been utilized to estimation the public willingness to pay (WTP) for the treatment of environmental threat in the procedure of solid waste in district Peshawar. This review based on primary data. Information collected from 225 family unit living in 25 union council of urban Peshawar. The result shows that 61 defendants out of 225, were willing to pay 200 every month for removing of environmental threat. similarly, 22 defendants were prepared to pay 300 and 17 respondents were willing to pay more than 300 for eliminating environment hazard. Almost 71% respondents were willing to that the facilities might be give private area. The study shows that income of household, education, family disease history and size of household is a main feature which affect the family decision about willingness to pay (WTP).   Vitor et, al. (2013) Logistic regression model was utilized to the determinants of willingness to pay for solid waste management in Kumasi city Ghana. while the tobit model was utilized to estimate the factor influencing the quantity of money the households are willingness to pay for improved solid waste management. The logit model demonstrations the result that income, age, number of children, quantity of waste generated, and education have significant effects on the willingness to pay, while the amount of money the households are willing to pay was influenced by their income quantity of waste generated, education, house ownership, and number of children.   Khattak and Amin (2013) designed at finding out the public willingness to pay (WTP) for the handling of environmental risk in the form of solid waste in Pakistan. In this study used binomial logit model.  The study originate that income of household, family disease history, education and size of households as main features which affect the household's decision regarding willingness to pay (WTP).   Alhassan and Mohammad (2013) Used Contingent Valuation Method (CVM) to analysis the Households Demand for Better solid waste disposal services in four communities in the New Juaben Municipality Ghana. In this study, the defendants were selected by means of simple random sampling for interviewing. Probit model were used to investigated the binary response data. The result show that the median willingness to pay for Ghana households communities 2.23 per household per month and the mean willingness to pay for Ghana household Communities 3.67 per household per month. The most important and prompting features that affect willingness to pay are education, household size, walking time to public dumpster, environmental study, concern of defendant, length of stay in the current residence, level of satisfaction of current waste disposal and sex of defendant.   Kumar et, al. (2013) Community perception has a direct bearing on feasible Solid waste management. He took primary and secondary data of 400 family units to estimate community observation, attitude and willingness towards waste management in city of Bangalore, India.  The data were collected through direct questionnaire administration, personal interview of the members. The results verified that 63% of families will take an interest for improved solid waste management (SWM) and 97.8% defendants preferred buildup on regular agenda. While 82.5% family units favored separating solid wastes into various containers Around 71% family unit will utilize those items which are recyclable. Great level of public appointment in reduction of waste at the cause through operations in a scientific method is required.   Roy et, al. (2013) investigate the household's willingness to pay for improved waste management in Silchar Municipal area in cachar District, Assam.  Contingent valuation method was used to elicit household's willingness to pay for improved solid waste management.  In this study, multiple regression model to establish the determinants of willingness to pay (WTP). In this study, systematic sampling technique was used 378 households were selected.  The results of multiple regression model to found that persons with the higher expenditure were willing to pay for an improved solid waste management. The person who are aware about solid waste management are more willing to pay. Educated people are more willing to pay for improved solid waste management.   Ezebilo. E.E., (2013) Used contingent valuation Method (CVM) to Determinant the willingness to pay for improved residential waste management in a developing country. The data for this study were shown in 236 household in llorin city in Kwara State, Nigeria. A binary logit model was used to account for some factors influencing the defendant's willingness to pay. The result show that more than 80 % of the defendants were in support of the residential waste management. The respondents are satisfied with private sector participation in provision of waste management service positively influenced the respondent's willingness to pay. The price, gender, household size and activities of clean examiners had negative influence.   Out et, al. (2012) determinant the willingness to pay for solid waste collection in semi-rural Ghana. In this study five traditional towns were selected purposively and 60 family heads were questioned from randomly nominated houses using semi- structured interview attendant. In this study that Logistic regression model was found that respondents sex, level of education, income, expenditure, amount of payment, consistency of collection and satisfaction with the present waste management system do not have any significant influence on the willingness of the respondents to pay for waste collection.   Afroz.et al, (2011) used contingent valuation method to estimation the willingness to pay of the households to improve the waste collection system in Kuala lumper, Malaysia. This study used primary data. This study the methodology consisted of asking people directly about their willingness to pay (WTP) for an extra waste collection service charge to protection the costs of new waste management project. The result show that the household were not aware about the benefits of recycling and waste separation. Concentrated efforts should be occupied to increase environmental awareness of the households through education and more advertising about waste separation, dropping and recycling.   Banga et, al. (2011) was used to the double bounded contingent valuation method to determinants of household willingness to pay for an improved in solid waste collection services in Kampala. This study based on 381 household in kampala. In this study both the choice to pay and the quantity households are willingness to pay for improved solid waste collection services are determine by income, age, education, and home ownership. The outcome shows that socially suitable fee which most of community are willingness to pay should be set to avoid the free- rider problem.   Jones et, al. (2010) investigation that the social factors influencing perception and willingness to pay for a market based policy pointing on solid waste management in Mytilene city, Greece. In this study, primary data were used. Linear regression model was used to estimate social factor that affect public behavior in the interval of implementation. In this study Likert scale and open-ended questionnaire to find out that 28.5% respondents rejected to pay for an economics instrument. While 65.7% of respondents are conscious about the regulation of waste while recycling program are known by 75.7% of the defendants.   Ababio (2010) Used Contingent valuation method to estimate the willingness to pay for improved solid waste management in Ghana. In this study used a stratified random sampling technique. Logit model was used to estimate a willingness to pay for total of 920 households. The result show that all the variable but the household size had a significant influence on respondents for willingness to pay for improved solid waste management. The study harangued that with proper policies that the misuse of this potential market can help disburden the establishments. Whole municipal budget it thus calls for policy interferences over the use of the socio-economic features to draw complete market sections for waste collection in its place of the present zoning designs which unsuccessful take awareness of intra-zonal changes.   Niringiye et, al. (2010) Used Dichotomous choice contingent valuation method to adjust of willingness to pay for solid waste management in Kampala city. A multi stage sampling technique was working to choose the 182 households from the study sector. In this study used a logistic calculation model to create the features of willingness to pay (WTO) for solid waste management services. The result shows in this study that logistic regression estimation showing that the age of households had are negatively affect with the willingness to pay for improved solid waste management. More variables are not significantly outcome with the willingness to pay (WTP) for improved solid waste management services. The recommendation of this study shows that there is a slight chance of achievement if solid waste collection facilities charges are announcing.   Afroz.et, al. 2009 Utilizing the Contingent valuation method (CVM) to appraise the willingness to pay of the respondents to improve the waste collection system in Dhaka city Bangladesh. The main objective of this study to estimate how willingness to pay (WTP) varies among defendants who received or did not receive door to door waste collection.  The result shows that the mean estimation of willingness to pay (WTP) for zones that got waste collection services zones was higher than for peoples of sectors that did not the difference was not statistically significant. The aggregate value of willingness to pay (WTP) of the respondents in Dhaka city was 7.6 millionTaka.   Kirunda (2009) to examine the level of public participation in Solid Waste Management in Kira town council. They utilized a mix of both quantitative and qualitative strategy in a study. The result shows that of the majority proportion of the public in Kira town showed concern and an amount of sensitivity about solid waste through categorization of solid waste is less adopted. The people in Kira town challenges of limited resources to achieve the solid waste and illegal dumping. Data was collected by structured from 101 defendants. Used SPSS to analysis the data.   Khattak.et al, (2009) in Pakistan used contingent valuation method (CVM) to examination of willingness to pay for better solid waste management services in urban ranges of district Peshawar. The outcome was influential that household size income of household and higher education as important determinant for household willingness to pay for better solid waste management services. Utilizing the binomial logit model. The result got that 49% of the sample families were willing to pay for better solid waste management services.  53% of respondents were found satisfied with the current solid waste management services.   Finn (2007) A Study of the household's willingness to contribute to an improved solid waste management program in Kratovo Macedonia.  In this review data were collected by 300 families.  The outcome demonstrates that 76% of household imagine that the current waste management services is inadequate. The result show that large percentage of household are willing to pay to an improved solid waste management program in Kratovo.  As the community of Kratovo are willing to contribution the local solid waste management service program, the local government duty keep relationship between the Engineers without Borders Chapter at the University of Florida.   Khorshiddoust (2004) adopted Contingent valuation method (CVM) to evaluation the willingness to pay for environmental conservation in Tabriz, Iran. The results showed that education, age and income were extremely significant and were positively associated with willingness to pay. using regression analysis to find out the significance of the selected variables. the results also showed that about 38 percent of respondents were willing to pay 5000 Rails per month and about 29 percent defendants were willing to pay 1000 Rails per month for participation in environmental maintenance developments.   Amiga (2002) Using the Contingent Valuation Method (CVM) to analyze household willingness to pay for improved solid waste management in Addis Ababa. In this study 430 randomly selected households were used. The Probit and Tobit models are used for the investigation the willingness to pay. Majority of households are not satisfied with what the metropolitan management are doing in this zone.  Most families (91.2%) are ready to co-operate with the government in financing solid waste management (SWM) to improve this state. The Tobit model shows that the result that income, time spent in the area, quantity of waste generated, responsibility of solid waste management, education, house ownership, number of children and age to be significant variables in explanation maximum willingness to pay. While in the Probit model income, age, number of kids, time spent in the range, quantity of waste generated and education have significant effect on willingness to pay.     Rogat (1998) used CVM to produce willingness to pay of people in Santiago, Chile, for a half diminishment in the level of outflows caused by the vehicle segment. The Tobit results show that willingness to pay for the reduction in emission was found to be affected by income, education, car ownership and degree of concern about upcoming generation.  Factors such as gender, age and whether people suffer from pollution- related diseases or not had lesser influence on the willingness to pay amount. In this study, the total willingness to pay was found to be different when respondents were asked for a monthly payment and when they were questioned for lump sum payment.   Vredin (1997) contingent valuation method (CVM) to analysis household's willingness to pay for the preservation of the Africa elephant (coxodota Africa). The results show that household income and the dummy variable designate the defendant's preference about the herd of Africa elephants to increase in the future are significant at 5 percent level.   Altaf & deshazo (1996) evaluated the family unit interest for improved solid waste management in Gujranwala city. In this review, the issue of waste management is just the centered around the supply side and the demand side issued is a usually disregarded. Contingent valuation method was utilized to an produce the maximum monthly willingness to pay for improved solid waste management system. Multivariate ordinary least squares examination was used to check the relationship of willingness to pay with economic qualities. The outcome was show that household expenditure, wealth, and income are significant determinants of willingness to pay. The study advises a different method founded on integrating demand side material into the development process. Most efforts at improving presentation have focused on supply side matters such as collection and disposal volume but have not produced significant outcomes.

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