Literature DB >> 23707722

Assessing the comprehensive restoration of an urban river: an integrated application of contingent valuation in Shanghai, China.

Jun Zhao1, Qiuxia Liu, Liqing Lin, Huafang Lv, Yao Wang.   

Abstract

Around 2000, China began to address the comprehensive restoration of its urban rivers and attempt to restore river ecosystem services. This paper reports an integrated contingent valuation of the ecosystem services of Zhangjiabang Creek in Shanghai, which is in the most developed region of China. A total of 1440 questionnaires were delivered, and 1153 were returned as usable in August 2008. The willingness to pay for the restoration of the urban river is 20.22 RMB (2.91 USD) per month per household under the payment card and 110.64 RMB (15.92 USD) under the dichotomous format. Several important methodological issues of the contingent valuation method (CVM) are observed, including the disparity between willingness to pay and willingness to accept, the difference between payment card and dichotomous choice question formats, and the comparison of different models in welfare estimation using dichotomous choice data. Several new findings are disclosed for these three issues of CVM.
Copyright © 2013 Elsevier B.V. All rights reserved.

Mesh:

Year:  2013        PMID: 23707722     DOI: 10.1016/j.scitotenv.2013.04.042

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


  2 in total

1.  Spatial disparities of the willingness of the residents to pay for the wetland restoration of Taihu Lake and its integration into decision making: a case study on Wuxi, China.

Authors:  Jia He; Xiang Sun; Xiaodong Zhu
Journal:  Environ Monit Assess       Date:  2015-07-08       Impact factor: 2.513

2.  Impact of perceived importance of ecosystem services and stated financial constraints on willingness to pay for riparian meadow restoration in Flanders (Belgium).

Authors:  Wendy Y Chen; Joris Aertsens; Inge Liekens; Steven Broekx; Leo De Nocker
Journal:  Environ Manage       Date:  2014-05-20       Impact factor: 3.266

  2 in total

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