Factors that affect the willingness of residents to pay for solid waste management in Hong Kong

Municipal solid waste management challenges in developing regions: A comprehensive review and future perspectives for Asia and Africa

The rapid urbanization witnessed in developing countries in Asia and Africa has led to a substantial increase in municipal solid waste (MSW) generation. However, the corresponding disposal strategies, along with constraints in land resources and finances, compounded by unorganized public behaviour, have resulted in ineffective policy implementation and monitoring. This lack of systematic and targeted orientation, combined with blind mapping, has led to inefficient development in many areas. This review examines the key challenges of MSW management in developing countries in Asia and Africa from 2013 to 2023, drawing insights from 170 academic papers. Rather than solely focusing on recycling, the study proposes waste sorting at the source, optimization of landfill practices, thermal treatment measures, and strategies to capitalize on the value of waste as more pertinent solutions aligned with local realities. Barriers to optimizing management systems arise from socio-economic factors, infrastructural limitations, and cultural considerations. The review emphasizes the importance of integrating the study area into the circular economy framework, with a focus on enhancing citizen participation in solid waste reduction and promoting recycling initiatives, along with seeking economic assistance from international organizations.

Public acceptability and its determinants of unit pricing for municipal solid waste disposal: Evidence from a household survey in Beijing

Unit pricing for domestic waste, or pay-as-you-throw (PAYT), affords a promising policy option for waste classification and reduction at source. As an emerging economy, China intends to adopt the sophisticated instrument of unit pricing. The public attitude to this policy is of high relevance for its actual implementation. For the first time in China, this paper quantitatively examined the acceptability of the policy among urban residents by randomly delivering 632 questionnaires by taking Beijing, a megacity expected to introduce the practice, as an example. Based on the ordered logit model, determinants of acceptability were empirically tested including intrinsic, external and demographic factors. The results show that the acceptability rate of PAYT in Beijing is less than half, with the proportion of firm support reaching only 42.6%. The respectively low acceptability rate indicates substantial compliance costs, due to intensive resistance to policy implementation and more resources to be invested to promote acceptability. Empirical analysis further indicates that (1) regarding demographic features, aged or less educated residents tend to accept unit pricing, (2) as for intrinsic factors, a friendly environmental attitude, deeper understanding of charging policy and better social perception can significantly improve the public acceptability of the policy, and (3) in terms of external factors, better property services and transparent funding mechanisms play significant roles in enhancing public acceptability. These findings are further confirmed by replacing the dependent variable with either the willingness to pay for household waste disposal or the acceptability of the operated sewage treatment fee. The status of residents' preference for specific pricing methods is further investigated with underlying reasons being revealed. For developing regions with an urgent demand for waste reduction, it is proposed to install unit pricing in time to avoid possible growing social acceptability costs. Specific measures are proposed including changes in intrinsic factors, paying attention to focus groups, and building social consensus for unit pricing.

Evaluating the waste management situation and attitudes of residents in Bandung, Indonesia

The increasing amount of waste is becoming a crucial topic in developing countries, causing health-related and environmental issues. In past decades, the Indonesian government implemented regulations dedicated to municipal solid waste management (MSWM); unfortunately, these have not been well communicated to the public. The set tax level is inadequate for the MSWM financial needs in Bandung, Indonesia. Previous studies determined the public interest in MSWM as the critical factor of sustainable MSWM. However, this aspect is not well considered. This study investigated public perception and involvement in MSWM in Bandung. These investigations were conducted through two leading indicators: public interest in MSWM in environmental issues and willingness of inhabitants to pay for sufficient MSWM services. Using a binary probit model, it was found that age, educational level, locality, and satisfaction with MSWM practices play a significant role in the respondents' interest in MSWM, which is crucial to the public perception of MSWM. The results also demonstrate that more than 97% of respondents are not satisfied with MSWM practices, and more than 83% of respondents consider MSWM services insufficient. Awareness of essential operations such as waste handling and recycling is at a low level. On the other hand, more than 67% of respondents are interested in MSWM in connection with environmental issues and are familiar with the 3R concept (reducing waste, reusing, and recycling resources and products). Our MSWM research provides new perspectives on the public perception and involvement in Bandung that could be considered in the planning and implementation of sustainable MSWM. The results indicate that the public's perception and approach to MSWM in Bandung city should be enhanced by better education, providing sufficient awareness, and offering workshops.  Integr Environ Assess Manag 2023;19:114-125. © 2022 SETAC.

An application of statistical and data mining methods to study the waste charging scheme in Hong Kong

Waste charging policy is one of the tools used by many countries to solve waste management problems. Before a policy can be fully implemented, it is important to study residents' willingness to pay (WTP) for waste disposal and estimate its effectiveness. This study aims to use data mining models to predict the maximum WTP amount and ratio estimation method to estimate the effectiveness of the proposed waste charging policy in Hong Kong. The results show that the average value of the predicted maximum willingness to pay (WTP) amount varies between HK$36.75 and HK$39.99 based on the data mining models. According to the decision tree models, the predicted maximum WTP amount of the respondents in the training dataset varies between HK$11.3 and HK$94.6. At least 8% of the residents may not afford to pay for waste disposal and need help. At least 5% of the respondents may well afford to pay and may not be motivated by the waste charging policy to reduce waste. It is plausible that over 53% of the respondents may accept the waste charging policy. Assuming the residents will reduce waste to keep the waste disposal expenditure within their maximum WTP amount, the percentage of waste reduction is estimated to be around 12.56-28.12% under the price level of HK$0.11 per liter. The findings may be helpful to the related parties to design and implement the waste charging policy.

A New Integrated Approach for Municipal Landfill Siting Based on Urban Physical Growth Prediction: A Case Study Mashhad Metropolis in Iran

Due to irregular and uncontrolled expansion of cities in developing countries, currently operational landfill sites cannot be used in the long-term, as people will be living in proximity to these sites and be exposed to unhygienic circumstances. Hence, this study aims at proposing an integrated approach for determining suitable locations for landfills while considering their physical expansion. The proposed approach utilizes the fuzzy analytical hierarchy process (FAHP) to weigh the sets of identified landfill location criteria. Furthermore, the weighted linear combination (WLC) approach was applied for the elicitation of the proper primary locations. Finally, the support vector machine (SVM) and cellular automation-based Markov chain method were used to predict urban growth. To demonstrate the applicability of the developed approach, it was applied to a case study, namely the city of Mashhad in Iran, where suitable sites for landfills were identified considering the urban growth in different geographical directions for this city by 2048. The proposed approach could be of use for policymakers, urban planners, and other decision-makers to minimize uncertainty arising from long-term resource allocation.

Sustainable solid waste management system using multi-objective decision-making model: a method for maximizing social acceptance in Hoi An city, Vietnam

The main aim of this study was to develop a decision support system for sustainable municipal solid waste management (MSWM) in Hoi An city (HAC), Vietnam. A face-to-face interview was conducted with local experts including authorities, citizens, waste collection contractors and recyclers to identify main objectives of waste management system and appropriate treatment methods. A multi-objective optimization model was proposed using non-linear programming approach. An interactive method known as reference point method (RPM) was applied for solving the problem with three objectives including cost minimization, landfill minimization and emission minimization. As a result, the efficient waste-flow-allocation and the optimal capacity of disposal facilities were determined by intense discussion and agreement among decision-makers. Waste incineration, anaerobic digestion, sanitary landfill and current recycling activities should be applied with a cost of about 2300 US$ daily. Also, the daily emission of various pollutants was about 35 metric tons, and the greenhouse gas (GHG) is 313 tons CO_2-eq.

Pollution, demographic, and public willingness to participate in environment protection in China-a study based on micro-survey data

Previous study found out that Chinese household have a higher awareness of environmental protection but less positive initiative to protect the environment. With the increasing Chinese income, higher education, and changing environment state, public awareness and behavior on environment protection are changing. This paper tries to find out the current public willingness to participate in environment protection, by using the latest data from China Household Finance Survey (CHFS) which is investigated in 2017 that covered 31 provinces with a sample of more than 40 thousand households. Besides, logit regression model is adopted to find out the impact of pollution and household demographic on environment protection behavior. The results show that around 71.6% of surveyed households have willingness to pay for the environment protection. Rural residents and higher educated individuals are more likely to participate in environment protection. However, things are different if they face different degrees of pollution. Results can be explained with China's current economic situation and would have some implications for future study on China's public willingness to pay for the environment.

Analysis of residents' choice of waste charge methods and willingness to pay amount for solid waste management in Hong Kong

Among various waste charging methods, the quantity-based method will most likely be adopted by the government of Hong Kong because of its effectiveness in reducing waste, as demonstrated in a few major cities. Several quantity-based methods exist. A large sample questionnaire survey was conducted in this study to examine residents' choice among three quantity-based waste charging methods, willingness to pay (WTP) amount, and the factors that influence these choices. Results revealed that residents prefer the household volume charging method and the average WTP amount for waste disposal should be HKD 38.4 per month. Multinomial logit model results indicated that five key factors affect the choice of waste charging method, whereas the Tobit model results suggested that seven factors significantly affect the WTP amount. Among the factors, the perceived fairness and effectiveness of the quantity-based waste charging methods affected the choice of waste charging method and the WTP amount, apart from demographic characteristics, knowledge, and attitudes toward the government's waste management proposals. Results may be useful for concerned groups in designing and implementing waste charge policies.

Willingness to pay for higher construction waste landfill charge: A comparative study in Shenzhen and Qingdao, China

High landfill charge presents an effective approach to divert construction waste from landfill. The stakeholders' willingness to pay (WTP) for the disposal of construction waste in landfill provide the useful information to set a reasonable charge level. Considering the diversity in stakeholder groups and regional socioeconomic conditions, contingent valuation method (CVM) was employed in this study to investigate the WTP of two major stakeholder groups in two typical Chinese cities. In addition, the perception of stakeholders towards landfill charge policy was measured and the impact of various factors on WTP was explored. The results indicated that there were statistically significant disparities of WTP between cities and stakeholder groups. Stakeholders from Shenzhen were willing to pay more than their counterparts in Qingdao. Contractors were willing to pay less than owners. Respondents who evaluate the policy as effective in reducing construction waste landfill were willing to pay more. However, firm size, ownership, position of respondent and perceived equity factors did not show statistically significant effect on WTP. These findings highlight the necessity to customize landfill charge policy according to local socioeconomic conditions.