Residents’ willingness to pay for the elimination of Ulva prolifera bloom: a case study in Qingdao, China
Zhihua Xu,
Jingmei Li,
Zhe Yang and
Jingzhu Shan
Journal of Environmental Planning and Management, 2021, vol. 64, issue 5, 755-773
Abstract:
Ulva (U.) prolifera bloom is a severe marine environmental problem in China. This work provides an economic assessment of the damage caused by the U. prolifera bloom from a cost-benefit perspective. The contingent valuation method is applied to elicit residents’ preference for the management of U. prolifera bloom. The results show that the respondents are willing to pay 54.98 CNY per year, on average. Additionally, this paper relates the concept of risk perception, media use, and the theory of planned behavior constructs to understand their impacts on residents’ preferences. The results indicate that attitude is the major factor in predicting willingness to pay, followed by media use. Furthermore, the new relationships between risk perception, media use, and the theory of planned behavior constructs are examined. The results reveal that attitude is affected remarkably by risk perception, and that media use has remarkable influence on risk perception and subjective norms.
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/09640568.2020.1784114 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:jenpmg:v:64:y:2021:i:5:p:755-773
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJEP20
DOI: 10.1080/09640568.2020.1784114
Access Statistics for this article
Journal of Environmental Planning and Management is currently edited by Dr Neil Powe, Dr Ken Willis and George Bill Page
More articles in Journal of Environmental Planning and Management from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().