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Title A system dynamics model for assessing impacts of policies on supply and demand of recycled aggregate
ID_Doc 19440
Authors Ma, MX; Tam, VWY; Le, KN; Osei-Kyei, R
Title A system dynamics model for assessing impacts of policies on supply and demand of recycled aggregate
Year 2023
Published
DOI 10.1016/j.jobe.2023.107050
Abstract It has become urgent for virgin aggregate to be replaced with recycled aggregate, because acquiring virgin aggregate involves considerable amount of energy and carbon dioxide emissions. In recent decades, governments worldwide have formulated policies to develop the market for recycled aggregate, while introduction of these policies could cause uncertainties in its supply and demand, potentially hindering its market acceptance. This study develops a system dynamics model to assess impacts of five policies (i.e., enhanced supervision on illegal dumping, landfill charge, subsidies for recycling activities, development of recycling centers, and restriction on mining) on the supply and demand of recycled aggregate. The model is described through Vensim PLE software, and Chongqing, China is selected as a case study. Single policies, including enhanced supervision, development of recycling centers and landfill charge are observed to have limited impacts on supply and demand of recycled aggregate. When the subsidy equals to 50 yuan/ton (or US $7.41/ton), the subsidy policy could suppress the increase in illegal dumping percentage and increase the supply of recycled aggregate. Restriction on mining could contribute to the growth of demand. However, single policies are found to have limitations and combination of policies should be considered. Impacts of three different combination policies are discussed in this study. Findings of this study could contribute to practice of C & D waste management and present possible stimulus to use recycled aggregate.
Author Keywords Recycled aggregate; Waste recycling; Supply and demand; Market development; System dynamics model; Policy instrument
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:001057453900001
WoS Category Construction & Building Technology; Engineering, Civil
Research Area Construction & Building Technology; Engineering
PDF https://doi.org/10.1016/j.jobe.2023.107050
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