Woretaw Used structured questionnaire to collect the

Woretawet, al. (2017) The main determination of this study to investigation thepreferences of households and estimation the willingness to pay for improvedsolid waste management services features in the form of money income and labourstruggle using choice experiment method household living in Debre Tabor town.

Multi stage stratified random sampling was used to draw sample households. Inthis study, primary data were  used to acollect data from 220 families alive in Debre tabor town. The Random LogitModel (RPLM) and the Latent class Models (LCM) were used to estimate theindependent of the unrelated alternatives hypothesis and account preferencesheterogeneity for several solid waste management qualities.  The RPL result show that preferences for allfeatures were heterogonous among households a assumption that was supported bythe varied difference in LCM estimations between classes. The result furthershows that higher level of income, higher level of education and female headedhouseholds preferred the upswing solid waste management interventions. Akhteret, al. (2017) Analysis household’s willingness to pay for improved solid wastemanagement. The study used primary and secondary data.

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Used structuredquestionnaire to collect the primary data. The data were collected among 200randomly selected households in Gulberg Lahore. The data was analysed using IBM SPSS. In this study result were showsthat majority of defendants were belong to middle class income are willing topay (WTP) an amount less than USD 4.8 for the improvement of waste managementfacilities in this area.   Bhattarai,K., Pathak, B.

, Binod, K.C (2017) Single bounded dichotomous choice contingentvaluation method (CVM) was used to estimate the household willingness to payfor improved solid waste management in Birendranagar Municipality, Nepal. Inthis study used Primary data. Structured questionnaire was used to collect thedata.  Statistical package ‘Stata 13’ wasused to analyzed the data.

 Randomlyselected 300 households was based on cross sectional survey. 91.33% defendantswere 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 meanwillingness to pay (WTP) was 90.

12 per household each month. Results show thatlevel of education, level of income, bid amount and present waste collectionsystem are the features determining the household willingness to pay forimproved solid waste management in birendranagar municipality. In this area,private service provider is charge 50 per household each month. Tranget, al. (2017) Used Dichotomins choice contingent valuation method toestimating household willingness to pay (WTP) for improved solid wastemanagement in Thu Dau Mot City, Binh Duong China. The questionnaire was used toa sample of 330 respondents for the study. The result shows that the meanhousehold willingness to pay for solid waste management system in Thu Dau motis about 24 thousand VND/month/households, higher than the current fee (20thousand VND/month/household).

The study used to logistic regression to createthe influence affecting to the family willingness to pay for solid wastemanagement system. The logit results show that those with a higher revenue andmore educated is willing to pay more for improvement in management of theirsolid waste and the more environmental aware the individual the more they arewillingness to pay. Moreover, females are given a less likely a positiveresponse to willingness to pay (WTP) relate to male.  BatuMuhdin et, al.

(2016) determinants of household’s willingness to pay for bettersolid waste management Ethiopia in jimma town. This study used the descriptiveanalysis, cross tabulation, independent t-test, correlation and binary logisticregression to analyses the household willingness to pay for improved solidwaste management in Ethiopia. Overall 200 samples are randomly selected fromjimma town. The outcome shows that majority of the defendants which is 88.5percent stated that they have concern for environmental protection and safety.56 percent of respondents are not satisfying for solid waste managementservices. The majority (83.5%)of households are willing to pay (WTP) forimproved door to door waste collection services.

The results show thathousehold willingness to pay for improved solid waste management is asignificant affect by income of household and amount of households generated byhouseholds between other features. Boatenget, al. (2016) Using Contingent Valuation Method on the willingness of peopleto pay for improved solid waste Disposal Services in urban Ghana. This studyexamined the factors that influence the willingness to pay (WTP) for solidwaste disposal in the Kumasi Metropolis.

Using a simple random samplingtechnique chosen a sample size of 394 households. Logit regression was used toestimate the influences that defendant’s observations of certain variables hadon people’s willingness to pay for waste disposal services. The study originatesthat the zone of house, effective bye -laws level of education and income arestatistically significant about willingness to pay for the solid disposalservices. But, households size and defendant’s awareness of health hazards ofunselective waste disposal did not have any effect on defendant’s willingnessto pay for improved solid waste services. Thirumarpanand dilsath (2016) used binomial logistic regression to discovery out theelements of household willingness to pay for improved solid waste management inbatticaloa, Sri Lanka.  In this study 100household were studies used by proportionate sampling.  Here Binomial logistic regression was used tofind out the features of household’s willingness to pay (WTP).

  The results demonstration that the average familyincome and expenditure was 34,440 and 32,850 per month correspondingly. Thelogistic regression show that family size and family expenditure significantlyand positively effects the family willingness to pay. The result shows that 59%of families are willing to pay for improved solid waste management services inbatticaloa. Quantity of waste produced, quantity oftimes arranging the waste and sex had a negative coefficient and weresignificant (p<0.

05). It is suggested that families should be educated oneffective solid waste disposal through regular sensitization programmed by acollective struggle of key participants in the solid waste management. Mustafaet, al. (2014) Using contingent valuation Method (CVM) to Capturing Willingnessto pay and its factors for solid waste management in region Abbottabad. Primarydata were utilized in this research.  Thebinominal logit regression were used to give the   household willingness to pay (WTP) forimproved environment over better solid waste management. The result show thateducation, income, awareness, location and household size was found to be inducingwillingness to pay (WTP).  The study protestthat the households demand for improved environmental situations over appreciatingtheir willingness to pay for better solid waste management services.

The resultshow that follows contingent valuation method for measuring the household’spreferences for well living standards. Addaiet, al. (2014). Used double-bound choice contingent valuation method to electhousehold willingness to pay (WTP) for improved Solid Waste Management inGhana. Logit regression technique use to analyses the data. The study also observesthe current solid waste management system in process and household level ofsatisfaction with them. In this study, the result shows that householdsperceived the current solid waste collection services to have some level ofinconsistencies.

There are many peoples were satisfied with the current solidwaste management services. The results show that willingness to pay (WTP) forimproved solid waste management is significant relationship between the gender,level of education, age of the household’s head and household size. It is therecommendation that the present collection workers should stay facility chargeswith the willingness to pay (WTP) levels although determined to improveservices to maintain and consideration new customers. Anjum(2013), in Pakistan, utilizing logistic and multiple regression to examinationthe willingness to pay for solid waste management in Islamabad they recognizedthat willingness to pay for solid waste management is significantly affected byage, household income, education and environmental awareness. Thestratified random sampling technique was used to resolve of sample size of fivehundred defendants.

A double bounded dichotomous choice questions surveyed byan open-ended question plan was used to prompt willingness to pay and maximumwillingness of the respondents. A logistic regression estimation shows that65.4% of the total respondents are willing to pay while multiple regressionestimation exposes willingness to pay of 289.15 Rs.

Which is significantlyeffect by education age household income and environmental awareness. Khattaket, al. (2013). Binomial logit model has been utilized to estimation the publicwillingness to pay (WTP) for the treatment of environmental threat in the procedureof solid waste in district Peshawar.

This review based on primary data.Information collected from 225 family unit living in 25 union council of urbanPeshawar. The result shows that 61 defendants out of 225, were willing to pay200 every month for removing of environmental threat.

similarly, 22 defendantswere prepared to pay 300 and 17 respondents were willing to pay more than 300for eliminating environment hazard. Almost 71% respondents were willing to thatthe facilities might be give private area. The study shows that income ofhousehold, education, family disease history and size of household is a mainfeature which affect the family decision about willingness to pay (WTP).  Vitoret, al. (2013) Logistic regression model was utilized to the determinants ofwillingness to pay for solid waste management in Kumasi city Ghana. while thetobit model was utilized to estimate the factor influencing the quantity ofmoney the households are willingness to pay for improved solid wastemanagement. The logit model demonstrations the result that income, age, numberof children, quantity of waste generated, and education have significanteffects on the willingness to pay, while the amount of money the households arewilling to pay was influenced by their income quantity of waste generated,education, house ownership, and number of children.

 Khattakand Amin (2013) designed at finding out the public willingness to pay (WTP) forthe handling of environmental risk in the form of solid waste in Pakistan. Inthis study used binomial logit model.  Thestudy originate that income of household, family disease history, education andsize of households as main features which affect the household’s decisionregarding willingness to pay (WTP).  Alhassanand Mohammad (2013) Used Contingent Valuation Method (CVM) to analysis theHouseholds Demand for Better solid waste disposal services in four communitiesin the New Juaben Municipality Ghana. In this study, the defendants wereselected by means of simple random sampling for interviewing.

Probit model wereused to investigated the binary response data. The result show that the medianwillingness to pay for Ghana households communities 2.23 per household permonth and the mean willingness to pay for Ghana household Communities 3.67 perhousehold per month. The most important and prompting features that affectwillingness to pay are education, household size, walking time to publicdumpster, environmental study, concern of defendant, length of stay in thecurrent 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 directquestionnaire administration, personal interview of the members. The resultsverified that 63% of families will take an interest for improved solid wastemanagement (SWM) and 97.8% defendants preferred buildup on regular agenda.

While 82.5% family units favored separating solid wastes into variouscontainers Around 71% family unit will utilize those items which arerecyclable. Great level of public appointment in reduction of waste at thecause through operations in a scientific method is required. Roy et, al. (2013)investigate the household’s willingness to pay for improved waste management inSilchar Municipal area in cachar District, Assam.

 Contingent valuation method was used to elicithousehold’s willingness to pay for improved solid waste management.  In this study, multiple regression model toestablish the determinants of willingness to pay (WTP). In this study, systematicsampling technique was used 378 households were selected.

 The results of multiple regression model to foundthat persons with the higher expenditure were willing to pay for an improvedsolid waste management. The person who are aware about solid waste managementare more willing to pay. Educated people are more willing to pay for improvedsolid waste management.  Ezebilo.E.E.

, (2013) Used contingent valuation Method (CVM) to Determinant thewillingness to pay for improved residential waste management in a developingcountry. The data for this study were shown in 236 household in llorin city inKwara State, Nigeria. A binary logit model was used to account for some factorsinfluencing the defendant’s willingness to pay.

The result show that more than80 % of the defendants were in support of the residential waste management. Therespondents are satisfied with private sector participation in provision ofwaste management service positively influenced the respondent’s willingness topay. The price, gender, household size and activities of clean examiners hadnegative influence. Outet, al. (2012) determinant the willingness to pay for solid waste collection insemi-rural Ghana. In this study five traditional towns were selectedpurposively and 60 family heads were questioned from randomly nominated housesusing semi- structured interview attendant. In this study that Logisticregression model was found that respondents sex, level of education, income,expenditure, amount of payment, consistency of collection and satisfaction withthe present waste management system do not have any significant influence onthe willingness of the respondents to pay for waste collection. Afroz.

etal, (2011) used contingent valuation method to estimation the willingness topay of the households to improve the waste collection system in Kuala lumper,Malaysia. This study used primary data. This study the methodology consisted ofasking people directly about their willingness to pay (WTP) for an extra wastecollection service charge to protection the costs of new waste managementproject. The result show that the household were not aware about the benefitsof recycling and waste separation. Concentrated efforts should be occupied toincrease environmental awareness of the households through education and moreadvertising about waste separation, dropping and recycling.

 Bangaet, al. (2011) was used to the double bounded contingent valuation method todeterminants of household willingness to pay for an improved in solid wastecollection services in Kampala. This study based on 381 household in kampala.

In this study both the choice to pay and the quantity households arewillingness to pay for improved solid waste collection services are determineby income, age, education, and home ownership. The outcome shows that sociallysuitable fee which most of community are willingness to pay should be set toavoid the free- rider problem. Jones et, al. (2010) investigationthat the social factors influencing perception and willingness to pay for amarket based policy pointing on solid waste management in Mytilene city,Greece.

In this study, primary data were used. Linear regression model was usedto estimate social factor that affect public behavior in the interval ofimplementation. In this study Likert scale and open-ended questionnaire to findout that 28.5% respondents rejected to pay for an economics instrument. While65.7% of respondents are conscious about the regulation of waste whilerecycling program are known by 75.

7% of the defendants.  Ababio(2010) Used Contingent valuation method to estimate the willingness to pay forimproved solid waste management in Ghana. In this study used a stratifiedrandom sampling technique. Logit model was used to estimate a willingness topay for total of 920 households. The result show that all the variable but thehousehold size had a significant influence on respondents for willingness topay for improved solid waste management. The study harangued that with properpolicies that the misuse of this potential market can help disburden theestablishments. Whole municipal budget it thus calls for policy interferencesover the use of the socio-economic features to draw complete market sectionsfor waste collection in its place of the present zoning designs whichunsuccessful take awareness of intra-zonal changes.  Niringiyeet, al.

(2010) Used Dichotomous choice contingent valuation method to adjust ofwillingness to pay for solid waste management in Kampala city. A multi stagesampling technique was working to choose the 182 households from the study sector.In this study used a logistic calculation model to create the features ofwillingness to pay (WTO) for solid waste management services. The result showsin this study that logistic regression estimation showing that the age ofhouseholds had are negatively affect with the willingness to pay for improvedsolid waste management. More variables are not significantly outcome with thewillingness to pay (WTP) for improved solid waste management services. Therecommendation of this study shows that there is a slight chance of achievementif solid waste collection facilities charges are announcing.

 Afroz.et,al. 2009 Utilizing the Contingent valuation method (CVM) to appraise thewillingness to pay of the respondents to improve the waste collection system inDhaka city Bangladesh. The main objective of this study to estimate howwillingness to pay (WTP) varies among defendants who received or did notreceive 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 peoplesof sectors that did not the difference was not statistically significant. Theaggregate value of willingness to pay (WTP) of the respondents in Dhaka citywas 7.6 millionTaka.

 Kirunda(2009) to examine the level of public participation in Solid Waste Managementin Kira town council. They utilized a mix of both quantitative and qualitativestrategy in a study. The result shows that of the majority proportion of thepublic in Kira town showed concern and an amount of sensitivity about solidwaste through categorization of solid waste is less adopted. The people in Kiratown challenges of limited resources to achieve the solid waste and illegaldumping. Data was collected by structured from 101 defendants. Used SPSS toanalysis the data. Khattak.etal, (2009) in Pakistan used contingent valuation method (CVM) to examination ofwillingness to pay for better solid waste management services in urban rangesof district Peshawar.

The outcome was influential that household size income ofhousehold and higher education as important determinant for householdwillingness to pay for better solid waste management services. Utilizing thebinomial logit model. The result got that 49% of the sample families werewilling to pay for better solid waste management services.  53% of respondents were found satisfied withthe current solid waste management services. Finn(2007) A Study of the household’s willingness to contribute to an improvedsolid waste management program in Kratovo Macedonia.  In this review data were collected by 300 families.  The outcome demonstrates that 76% ofhousehold imagine that the current waste management services is inadequate.

Theresult show that large percentage of household are willing to pay to animproved solid waste management program in Kratovo.  As the community of Kratovo are willing tocontribution the local solid waste management service program, the localgovernment duty keep relationship between the Engineers without Borders Chapterat the University of Florida. Khorshiddoust(2004) adopted Contingent valuation method (CVM) to evaluation the willingnessto pay for environmental conservation in Tabriz, Iran.

The results showed thateducation, age and income were extremely significant and were positively associatedwith willingness to pay. using regression analysis to find out the significanceof the selected variables. the results also showed that about 38 percent ofrespondents were willing to pay 5000 Rails per month and about 29 percent defendantswere willing to pay 1000 Rails per month for participation in environmental maintenancedevelopments.  Amiga(2002) Using the Contingent Valuation Method (CVM) toanalyze household willingness to pay for improved solid waste management inAddis Ababa. In this study 430 randomly selected households were used.

TheProbit and Tobit models are used for the investigation the willingness to pay.Majority of households are not satisfied with what the metropolitan managementare doing in this zone.  Most families(91.2%) are ready to co-operate with the government in financing solid wastemanagement (SWM) to improve this state. The Tobit model shows that the resultthat income, time spent in the area, quantity of waste generated,responsibility of solid waste management, education, house ownership, number ofchildren and age to be significant variables in explanation maximum willingnessto pay. While in the Probit model income, age, number of kids, time spent inthe range, quantity of waste generated and education have significant effect onwillingness to pay.    Rogat(1998) used CVM to produce willingness to pay of people in Santiago, Chile, fora half diminishment in the level of outflows caused by the vehicle segment.

TheTobit results show that willingness to pay for the reduction in emission wasfound to be affected by income, education, car ownership and degree of concernabout upcoming generation.  Factors suchas gender, age and whether people suffer from pollution- related diseases ornot had lesser influence on the willingness to pay amount. In this study, thetotal willingness to pay was found to be different when respondents were askedfor a monthly payment and when they were questioned for lump sum payment. Vredin (1997) contingentvaluation method (CVM) to analysis household’s willingness to pay for thepreservation of the Africa elephant (coxodota Africa). The results show thathousehold income and the dummy variable designate the defendant’s preferenceabout the herd of Africa elephants to increase in the future are significant at5 percent level. Altaf (1996) evaluated the family unit interest for improved solid wastemanagement in Gujranwala city.

In this review, the issue of waste management isjust the centered around the supply side and the demand side issued is a usuallydisregarded. Contingent valuation method was utilized to an produce the maximummonthly willingness to pay for improved solid waste management system.Multivariate ordinary least squares examination was used to check therelationship of willingness to pay with economic qualities. The outcome wasshow that household expenditure, wealth, and income are significantdeterminants of willingness to pay.

The study advises a different methodfounded on integrating demand side material into the development process. Mostefforts at improving presentation have focused on supply side matters such ascollection and disposal volume but have not produced significant outcomes.


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