Social Acceptability of Waste-to-Energy: Research Hotspots, Technologies, and Factors
Abstract
1. Introduction
2. Materials and Methods
3. Bibliometric Analysis of Waste-to-Energy Literature
3.1. Country and Year Trends
3.2. Journal Analysis
3.3. Institutional Analysis
3.4. Author Analysis
4. Social Acceptability of Waste-to-Energy Technologies
4.1. Waste-to-Energy Technologies
4.2. Factors Affecting the Acceptability of Waste-to-Energy
5. Conclusions
- Information, Education, and Communication (IEC). The acceptability of WtE depends on how well information about the technology, the project implementation, and its impacts are communicated to the public. IEC strategies such as public forums, stakeholder consultations, educational campaigns, and distributing IEC can foster positive perceptions while reducing resistance towards WtE technologies.
- Community Involvement. Communities are more likely to accept WtE projects if they are well-informed, engaged, and invested. They can be involved in the conceptualization, participatory planning, implementation, decision-making, monitoring, and evaluation of the project. These activities foster transparency, collaboration, ownership, and long-term commitment, creating a positive relationship between the project and the community.
- Environmental Safeguards and Transparency. Enforcing stringent environmental standards for emissions and waste management, employing advanced emission control technologies to control the risks, openly communicating the project benefits, sharing the progress monitoring of the project, and involving the community in decision-making improve the social acceptability of WtE. This builds public trust and mitigates resistance while fostering co-management of MSW through WtE technologies.
- Systems Approach. A systems approach to planning and implementation considers the interdependencies of social, environmental, economic, and technological aspects of WtE projects. This approach ensures that all stakeholders are considered, concerns are addressed, and the technology is integrated sustainably within the community. This comprehensive, participatory, inclusive, and long-term WtE planning ensures that WtE technologies contribute to sustainable MSW management and energy production, gaining the trust and support of communities, turning NIMBY into BIMBY.
6. Future Research Directions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
AD | Anaerobic digestion |
BIMBY | Beauty-In-My-BackYard |
CE | Circular economy |
GHG | Greenhouse gas |
IEC | Information, Education, and Communication |
LCA | Life cycle assessment |
MCDA | Multi-criteria decision analysis |
MSW | Municipal solid waste |
NIMBY | Not-In-My-BackYard |
RDF | Refuse-derived fuel |
SLF | Sanitary landfill |
UNEP | United Nations Environment Programme |
WoS | Web of Science |
WtE | Waste-to-energy |
WTP | Willingness to pay |
3Rs | Reduce, reuse, recycle |
Appendix A
Author | Year | Title |
---|---|---|
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Borges et al. [125] | 2023 | Scaling actors’ perspectives about innovation system functions: Diffusion of biogas in Brazil |
Caferra et al. [126] | 2023 | Wasting energy or energizing waste? The public acceptance of waste-to-energy technology |
Calle Mendoza et al. [127] | 2024 | Social acceptance, emissions analysis and potential applications of paper-waste briquettes in Andean areas |
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Chen et al. [52] | 2023 | Effects of perceived stress on public acceptance of waste incineration projects: evidence from three cities in China |
Chen et al. [129] | 2022 | Demographic differences in public acceptance of waste-to-energy incinerators in China: High perceived stress group vs. low perceived stress group |
Cong et al. [130] | 2021 | Exploring critical influencing factors for the site selection failure of waste-to-energy projects in China caused by the not in my back yard effect |
Cudjoe & Wang [80] | 2024 | Public acceptance towards plastic waste-to-energy gasification projects: The role of social trust and health consciousness |
Cui et al. [41] | 2020 | Determining critical risk factors affecting public-private partnership waste-to-energy incineration projects in China |
Dolla & Laishram [18] | 2021 | Effect of energy from waste technologies on the risk profile of public-private partnership waste treatment projects of India |
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Rank | Title | Total Publications | Percentage |
---|---|---|---|
1 | Waste Management | 11 | 10% |
2 | Journal of Cleaner Production | 10 | 9% |
3–4 | Energy | 4 | 4% |
5–8 | Environmental Impact Assessment Review | 4 | 4% |
5–8 | Technological Forecasting and Social Change | 3 | 3% |
5–8 | Sustainable Energy Technologies and Assessment | 3 | 3% |
5–8 | Energies | 3 | 3% |
Rank | Title | Total Citations |
---|---|---|
1 | Waste Management | 558 |
2 | Journal of Cleaner Production | 289 |
3 | Resources, Conservation and Recycling | 190 |
4 | International Journal of Energy and Environmental Engineering | 141 |
5 | Energy | 108 |
6 | Habitat International | 100 |
7 | Environmental Impact Assessment Review | 92 |
8 | Sustainable Cities and Society | 89 |
9 | Technological Forecasting and Social Change | 88 |
10 | Sustainability | 85 |
Rank | Institution | Documents |
---|---|---|
1 | Zhejiang Sci-Tech University | 13 |
2 | Queensland University of Technology | 10 |
3 | North China Institute of Science and Technology | 8 |
4 | Aristotle University | 7 |
5 | Bond University | 5 |
6–10 | Cranfield University | 4 |
6–10 | East China Normal University | 4 |
6–10 | Xiamen University | 4 |
6–10 | Tongji University | 4 |
6–10 | University of Technology Sydney | 4 |
11–12 | Nanjing University of Science & Technology | 3 |
11–12 | Hefei University of Technology | 3 |
Rank | Institution | Citations |
---|---|---|
1 | Zhejiang Sci-Tech University | 393 |
2 | Queensland University of Technology | 357 |
3 | Aristotle University | 324 |
4 | North China Institute of Science and Technology | 321 |
5 | Cranfield University | 197 |
6 | Tongji University | 167 |
7 | East China Normal University | 154 |
8 | Nottingham Trent University | 138 |
9 | Xiamen University | 119 |
10 | Hefei University of Technology | 111 |
Rank | Author | Documents |
---|---|---|
1 | Liu Y. | 13 |
2–3 | Cui C. | 10 |
2–3 | Xia B. | 10 |
4 | Skitmore M. | 9 |
5–7 | Ke Y. | 4 |
5–7 | Vlachokostas C. | 4 |
5–7 | Xu M. | 4 |
Rank | Author | Citations |
---|---|---|
1 | Liu Y. | 400 |
2 | Xia B. | 357 |
3 | Vlachokostas C. | 270 |
4 | Moussiopoulos N. | 266 |
5 | Skitmore M. | 248 |
6 | Sun CJY. | 168 |
7–8 | Garnett K. | 138 |
7–8 | Cooper T. | 138 |
9 | Ge YJ. | 131 |
10 | Jiang X | 113 |
Rank | Technology | Total Documents | Percentage |
---|---|---|---|
1 | Incineration | 72 | 66% |
2 | Anaerobic digestion | 46 | 42% |
3 | Gasification | 7 | 6% |
4 | Pyrolysis | 6 | 6% |
5–6 | Refuse-derived fuel | 2 | 2% |
5–6 | Landfill with gas recovery | 2 | 2% |
Technology/ Feedstocks | Environmental Impacts | Sustainability Conditions | Energy Efficiency | Economic Feasibility | Sources |
---|---|---|---|---|---|
Incineration MSW, medical waste, hazardous waste, sewage sludge | (+) Reduction in waste volume and GHG emissions compared to landfilling; energy and resource recovery (−) Emission of harmful pollutants (particulate matter, heavy metals, dioxins, furans, other gaseous pollutants), GHG, fly ash, and bottom ash; environmental and human health risks, social acceptance | Implementing stringent emission standards, waste management policies, R&D, and M&E Sustainable feedstock management and flue gas treatment Integrating incineration into the circular economy principles Community engagement and transparency | <80% (heat recovery) <40% (electricity) <60% (combined) | High | [66,67,68,69,70,71,72,73] |
Anaerobic digestion Agricultural and food- related wastes, wastewater sludge | (+) Reduction in food and other agricultural wastes, energy production, nutrient cycling, improved soil health (−) GHG emissions, acidification, eutrophication, the formation of photochemical oxidants | Process optimization through heat recovery, co-digestion, and pre-treatment GHG emissions and pathogen reduction, and digestate management | <50% | Moderate | [74,75,76,77,78,79] |
Gasification MSW, biomass, carbonaceous wastes | (+) Produces syngas, lower GHG and pollutant emissions, reduction in hazardous and toxic by-products (−) Pollutant emissions, soil and water contamination, high energy consumption, health risks | Feedstock selection and characterization; syngas cleaning and utilization Flue gas recirculation to improve efficiency; integration with other technologies; optimization of operational parameters | <70% | High | [80,81,82,83,84,85,86] |
Pyrolysis Biomass, plastic wastes | (+) Converts waste to valuable products, reduce hazardous waste, minimized emissions, mitigation of plastic pollution (−) Emission of air pollutants, energy- intensive, and potential toxicity | Feedstocks diversification to reduce environmental impacts Process optimization to improve yield and efficiency Integration with other technologies to improve energy efficiency Recovery of by-products and integration into the circular economy | <90% | High | [65,87,88,89,90] |
Refuse-derived fuel MSW, industrial wastes | (+) Waste volume reduction, lower heavy metal concentrations and reduced GHG emissions compared to incineration (−) Pollutant emissions, competes with recycling | Thermal treatments to reduce moisture content and enhance production efficiency Technology integration to improve carbon conversion efficiency and reduce environmental hazards | - | Moderate | [91,92,93,94,95,96] |
Landfill with gas recovery MSW, sewage sludge, agricultural wastes, food-related wastes | (+) Reduces GHG emissions, produces renewable energy (−) Incomplete gas capture; residual emission of GHG and other harmful gases Soil and groundwater contamination from leachates Degradation of local ecosystems | Ensuring the efficiency of gas recovery Effective leachate management Promoting resource recovery and contributing to a circular economy | <90% (methane capture) | Moderate | [97,98,99,100,101] |
Rank | Technology | Total Documents | Percentage |
---|---|---|---|
1 | Perceived risks | 29 | 27% |
2 | Trust | 23 | 21% |
3 | Attitudes | 21 | 19% |
4 | Perceived benefits | 18 | 17% |
5 | NIMBY | 17 | 15% |
6 | Awareness | 15 | 14% |
7 | Knowledge | 11 | 10% |
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Agaton, C.B.; Santos, M.J.A. Social Acceptability of Waste-to-Energy: Research Hotspots, Technologies, and Factors. Clean Technol. 2025, 7, 63. https://doi.org/10.3390/cleantechnol7030063
Agaton CB, Santos MJA. Social Acceptability of Waste-to-Energy: Research Hotspots, Technologies, and Factors. Clean Technologies. 2025; 7(3):63. https://doi.org/10.3390/cleantechnol7030063
Chicago/Turabian StyleAgaton, Casper Boongaling, and Marween Joshua A. Santos. 2025. "Social Acceptability of Waste-to-Energy: Research Hotspots, Technologies, and Factors" Clean Technologies 7, no. 3: 63. https://doi.org/10.3390/cleantechnol7030063
APA StyleAgaton, C. B., & Santos, M. J. A. (2025). Social Acceptability of Waste-to-Energy: Research Hotspots, Technologies, and Factors. Clean Technologies, 7(3), 63. https://doi.org/10.3390/cleantechnol7030063