Literature DB >> 29122350

Evaluating residents' preferences for remediation technologies: A choice experiment approach.

Elisabeth Huynh1, Jorge E Araña2, Jason Prior3.   

Abstract

The choice of technologies used to remediate contaminated environments is increasingly made through engagement with a multitude of stakeholders including affected residents. Despite this, little is known about how residents perceive remediation technology applications. In this study a choice experiment is designed to explore ways of understanding and measuring residents' preferences for different remediation technologies approaches using a sample of 944 residents in New South Wales, Australia. Analysis reveals that the residents' acceptability of remediation technologies can be explained by both the efficacy of the technology in improving the environmental quality of the community, and the reputational value of the technology. In particular it is found that residents prefer Monitor Natural Attenuation and Bioremediation to other remediation technologies. In particular they are willing to pay an increase in yearly taxes of $44.60 and $41.15 respectively for implementing such technologies instead of alternative remediation technologies like Chemical remediation.
Copyright © 2017 Elsevier B.V. All rights reserved.

Keywords:  Choice modelling; Contamination; Decision making; Discrete choice; Environmental remediation; Environmental valuation

Mesh:

Year:  2017        PMID: 29122350     DOI: 10.1016/j.scitotenv.2017.10.125

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Integration of residents' experiences into economic planning process of coastal villages: Evidence from the Greater Hangzhou Bay Rim Area.

Authors:  Xinkai Wang; Zhirong Wang; Yao Wang; Qianqian Zhang; Tengyue Zhang; Jia Yao
Journal:  PLoS One       Date:  2020-10-09       Impact factor: 3.240

2.  Modelling welfare estimates in discrete choice experiments for seaweed-based renewable energy.

Authors:  Petr Mariel; Simona Demel; Alberto Longo
Journal:  PLoS One       Date:  2021-11-29       Impact factor: 3.240

  2 in total

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