Does ecological restoration meet the public's demand for proximity to the ocean? A nonmarket value evaluation based on choice experiment in China

被引:0
作者
Shan, Jingzhu [1 ]
Hao, Yanan [2 ]
Li, Jingmei [1 ,2 ]
机构
[1] Ocean Univ China, Inst Marine Dev, 238 Songling Rd, Qingdao 266100, Shandong, Peoples R China
[2] Ocean Univ China, Sch Econ, 238 Songling Rd, Qingdao 266100, Shandong, Peoples R China
基金
中国博士后科学基金;
关键词
choice experiment method; ecological restoration; non-compensatory choice; public demand for proximity to the ocean; MODELS;
D O I
10.1111/rec.14280
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Ecological restoration effectively improves the quality of the marine ecological environment and subsequently enhances the public's sense of enjoyment and well-being. The main objective of this paper is to assess the public's preferences regarding ecological restoration attributes and quantify the extent to which ecological restoration meets the public's needs for coastal enjoyment in Jiaozhou Bay, China. The choice experiment (CE) method was used to obtain the public preferences. To correct for the potential bias caused by non-compensatory choice behavior in CE, the study utilizes an independent availability logit (IAL) model. The results indicate that the attributes of bay ecological restoration, including nearshore water quality, coastal landscape, coastal space, and marine biodiversity, significantly and positively influence residents' utility levels. The public's willingness to pay (WTP) for improving water quality, restoring marine biological resources, increasing coastal space, and enhancing coastal landscapes in bay ecological restoration is 92.02 Chinese Yuan (CNY), 51.80 CNY, 36.60 CNY, and 31.89 CNY per household, respectively. Based on these findings, the total WTP for ecological restoration in Jiaozhou Bay is 1.54 billion CNY annually. Through comparative analysis of the estimation results between the IAL model and traditional choice models, it is found that the IAL model helps correct non-compensatory choice bias in CE. The conclusions of this study can provide data support for the formulation of policies on bay ecological restoration and governance as well as a reference for improving the accuracy and validity of CE valuation.
引用
收藏
页数:11
相关论文
共 36 条
[1]   STUDYING CONSIDERATION EFFECTS IN EMPIRICAL CHOICE MODELS USING SCANNER PANEL-DATA [J].
ANDREWS, RL ;
SRINIVASAN, TC .
JOURNAL OF MARKETING RESEARCH, 1995, 32 (01) :30-41
[2]  
[Anonymous], 2021, Study on Peoples Republic of China (PRC) Policies and Influence in the Development of International Standards for Emerging Technologies, Federal Register
[3]   Keeping up appearances: Motivations for socially desirable responding in contingent valuation interviews [J].
Boerger, Tobias .
ECOLOGICAL ECONOMICS, 2013, 87 :155-165
[4]   A comparison of conjoint analysis response formats [J].
Boyle, KJ ;
Holmes, TP ;
Teisl, MF ;
Roe, B .
AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS, 2001, 83 (02) :441-454
[5]   A semi-compensatory discrete choice model with explicit attribute thresholds of perception [J].
Cantillo, V ;
Ortúzar, JD .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2005, 39 (07) :641-657
[7]   Comprehensive assessment of occurrence, temporal-spatial variations, and ecological risks of heavy metals in Jiaozhou Bay, China: A comprehensive study [J].
Hou, Wanli ;
Wang, Qixiang ;
Xiang, Zhuangzhuang ;
Jia, Ning ;
Hu, Jingwen ;
Wu, Zhihong ;
Dong, Wenlong .
MARINE POLLUTION BULLETIN, 2024, 198
[8]   The decade long achievements of China's marine ecological civilization construction (2006-2016) [J].
Jiang, Qutu ;
Feng, Cuicui ;
Ding, Jieqiong ;
Bartley, Evan ;
Lin, Ying ;
Fei, Jiahuan ;
Wu, Shiliang ;
Zhou, Junyu ;
Ye, Guanqiong ;
Christakos, George .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2020, 272
[9]   Development and estimation of a semi-compensatory model with a flexible error structure [J].
Kaplan, Sigal ;
Shiftan, Yoram ;
Bekhor, Shlomo .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2012, 46 (02) :291-304
[10]   Aligning social and ecological goals for successful marine restoration [J].
Kenny, Ishtar ;
Connell, Sean D. ;
Drew, Georgina ;
Wright, Alison ;
Carruthers, Sandy ;
Mcafee, Dominic .
BIOLOGICAL CONSERVATION, 2023, 288