Public willingness to accept ecological compensation methods for construction and demolition waste landfilling

Due to the negative externalities associated with construction and demolition waste (C&DW) landfilling, such facilities often face strong public opposition, commonly referred to as the “not in my backyard” (NIMBY) effect. Ecological compensation, a market-based mechanism that internalizes environmental externalities by offering economic incentives to affected stakeholders, has emerged as an effective strategy to mitigate NIMBY-related resistance. A critical aspect of implementing ecological compensation is identifying methods that are publicly acceptable, thereby addressing the question of “how to compensate.” This study aims to explore compensation approaches that are both suitable for C&DW landfilling and acceptable to local communities. A comprehensive literature review was first conducted to summarize existing ecological compensation mechanisms and identify those most applicable to C&DW landfilling. Using Shenzhen, China, as a case study, public preferences regarding different compensation methods were examined through questionnaires and semi-structured interviews. The findings explicitly reveal that financial compensation is the most preferred option among the public, followed by project-based compensation, with policy-related compensation being the least preferred. Specifically, the public prefers to receive financial compensation as a lump-sum bank transfer before landfill operations, favors local village collectives managing landfills with annual profit distribution for project-based compensation, and prioritizes housing expropriation and compensation policies for policy-related compensation. These findings offer valuable theoretical insights for the development of scientifically grounded and socially acceptable ecological compensation strategies in the context of C&DW landfilling. • Properly managing C&DW landfilling is a global nuisance due to the NIMBY effect. • Ecological compensation is a promising mechanism to ease NIMBY-related resistance. • Probes compensation methods aligned with C&DW landfilling and community acceptance. • Financial, project-based, and policy-related compensation are best suited methods. • Informs science-based, socially accepted compensation methods for C&DW landfilling.

Authors

Institutions

Publication Details

Journal
Developments in the Built Environment
Published
2025-10-26
DOI
https://doi.org/10.1016/j.dibe.2025.100788
Citations
1
Primary Topic
Urban Planning and Valuation
Type
article
Field-Weighted Citation Impact
2.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Public willingness to accept ecological compensation methods for construction and demolition waste landfilling

Huanyu Wu, Vivian W.Y. Tam, Jian Zuo, Zhaoyang Qiu et al.
1 citations
Developments in the Built Environment
Urban Planning and Valuation
2.42
article

Public willingness to accept ecological compensation methods for construction and demolition waste landfilling

Huanyu Wu, Vivian W.Y. Tam, Jian Zuo, Zhaoyang Qiu, Jiayuan Wang, Yifu Ou, Bo Yu, Zhikang Bao
article en
1 citations

Abstract

Due to the negative externalities associated with construction and demolition waste (C&DW) landfilling, such facilities often face strong public opposition, commonly referred to as the “not in my backyard” (NIMBY) effect. Ecological compensation, a market-based mechanism that internalizes environmental externalities by offering economic incentives to affected stakeholders, has emerged as an effective strategy to mitigate NIMBY-related resistance. A critical aspect of implementing ecological compensation is identifying methods that are publicly acceptable, thereby addressing the question of “how to compensate.” This study aims to explore compensation approaches that are both suitable for C&DW landfilling and acceptable to local communities. A comprehensive literature review was first conducted to summarize existing ecological compensation mechanisms and identify those most applicable to C&DW landfilling. Using Shenzhen, China, as a case study, public preferences regarding different compensation methods were examined through questionnaires and semi-structured interviews. The findings explicitly reveal that financial compensation is the most preferred option among the public, followed by project-based compensation, with policy-related compensation being the least preferred. Specifically, the public prefers to receive financial compensation as a lump-sum bank transfer before landfill operations, favors local village collectives managing landfills with annual profit distribution for project-based compensation, and prioritizes housing expropriation and compensation policies for policy-related compensation. These findings offer valuable theoretical insights for the development of scientifically grounded and socially acceptable ecological compensation strategies in the context of C&DW landfilling. • Properly managing C&DW landfilling is a global nuisance due to the NIMBY effect. • Ecological compensation is a promising mechanism to ease NIMBY-related resistance. • Probes compensation methods aligned with C&DW landfilling and community acceptance. • Financial, project-based, and policy-related compensation are best suited methods. • Informs science-based, socially accepted compensation methods for C&DW landfilling.

Developments in the Built EnvironmentVol. 24
Shenzhen University (CN), Shenzhen Polytechnic University (CN), Heriot-Watt University (GB), The University of Adelaide (AU), Western Sydney University (AU)
Openalex Percentile: Top 8%
Urban Planning and Valuation
2.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.