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A decision framework for estimating the cost of marine plastic pollution interventions
Author(s) -
Murphy Erin L.,
Bernard Miranda,
Iacona Gwenllian,
Borrelle Stephanie B.,
Barnes Megan,
McGivern Alexis,
Emmanuel Jorge,
Gerber Leah R.
Publication year - 2022
Publication title -
conservation biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.2
H-Index - 222
eISSN - 1523-1739
pISSN - 0888-8892
DOI - 10.1111/cobi.13827
Subject(s) - psychological intervention , context (archaeology) , socioeconomic status , social cost , cost–benefit analysis , business , environmental planning , natural resource economics , environmental economics , welfare economics , environmental resource management , environmental science , economics , geography , political science , environmental health , medicine , psychology , population , neoclassical economics , archaeology , psychiatry , law
Marine plastic pollution has emerged as one of the most pressing environmental challenges of our time. Although there has been a surge in global investment for implementing interventions to mitigate plastic pollution, there has been little attention given to the cost of these interventions. We developed a decision support framework to identify the economic, social, and ecological costs and benefits of plastic pollution interventions for different sectors and stakeholders. We calculated net cost as a function of six cost and benefit categories with the following equation: cost of implementing an intervention (direct, indirect, and nonmonetary costs) minus recovered costs and benefits (monetary and nonmonetary) produced by the interventions. We applied our framework to two quantitative case studies (a solid waste management plan and a trash interceptor) and four comparative case studies, evaluating the costs of beach cleanups and waste‐to‐energy plants in various contexts, to identify factors that influence the costs of plastic pollution interventions. The socioeconomic context of implementation, the spatial scale of implementation, and the time scale of evaluation all influence costs and the distribution of costs across stakeholders. Our framework provides an approach to estimate and compare the costs of a range of interventions across sociopolitical and economic contexts.