生态与农村环境学报 ›› 2018, Vol. 34 ›› Issue (11): 982-987.doi: 10.11934/j.issn.1673-4831.2018.11.004

• 区域环境与发展 • 上一篇    下一篇

基于条件估值法(CVM)的湿地周边农户受偿意愿及影响因素研究:以江苏盐城珍禽自然保护区为例

刘玉卿, 张华兵   

  1. 盐城师范学院城市与规划学院, 江苏 盐城 224007
  • 收稿日期:2017-12-29 出版日期:2018-11-25 发布日期:2018-11-21
  • 作者简介:刘玉卿(1983-),男,江苏盐城人,副教授,博士,主要研究方向为海岸带生态补偿。E-mail:liuyuqing02102123@163.com
  • 基金资助:

    国家自然科学基金(41501567,41771199);江苏省高校哲学社会科学基金(2014SJB722);江苏省盐土生物资源重点实验室开放课题(JKLBS2012020)

Discussion on Farmers' Willingness to Accept Compensation for Ecological Services and Its Influential Factors Based on CVM Method: A Case Study in Yancheng Rare Bird Nature Reserve

LIU Yu-qing, ZHANG Hua-bing   

  1. School of Urban and Planning, Yancheng Teachers University, Yancheng 224007, China
  • Received:2017-12-29 Online:2018-11-25 Published:2018-11-21

摘要:

生态补偿是应对生物多样性保护问题的有效环境政策。作为主要利益相关者的农户,其参与意愿直接影响生态补偿项目实施的绩效与可持续性。在调查盐城潮滩湿地生态环境基础上,以支付卡方式设计调查问卷,采取面对面方式对保护区周边125个农户进行调查,基于条件估值法(contingent valuation method,CVM)估算其生态补偿的受偿意愿,选择农户的性别、年龄、家庭年收入等基本社会经济特征,以农户对生态补偿了解程度和生态补偿态度为自变量,以农户受偿意愿为因变量,运用二项Logistic模型分析影响当地农户受偿意愿的相关因素。结果表明,保护区周边农户具有一定的湿地生态环境保护认知和意识;有88%的农户选择非零补偿意愿,平均受偿意愿为7 727.7元·hm-2·a-1。Logistic模型分析结果表明农户的年龄、拥有的耕地面积和对生态补偿了解程度是影响其受偿意愿的主要因素。农户年龄越大,其受偿意愿相对降低;农户拥有的耕地面积越小,受偿意愿就越大;对生态补偿了解程度越高,生态补偿意愿就越强。研究结果可为保护区生态补偿政策的有效落实提供科学支持,也可为其他保护区生态补偿的实施提供借鉴。

关键词: 条件估值法(CVM), 受偿意愿(WTA), 二项Logistic模型, 盐城珍禽自然保护区

Abstract:

Compensation for ecological services is an environmental policy which is effective for biodiversity protection. The willingness of farmers, as the main stakeholders, to participate in such a compensation project directly affects the performance and sustainability of the project. Based on an investigation of the ecological environment of the tidal flat in Yancheng City, a questionnaire was designed using payment card, and 125 farmers residing around the Yancheng Rare Bird Nature Reserve were interviewed face to face. The contingent valuation method (CVM) was used to analyze their willingness to accept (WTA) compensation. The basic social and economic characteristics of the farmers, such as their gender, age, annual income, acknowledgement of compensation for ecological services, and attitude toward environment projects, were selected as the independent variables. Next, taking the farmers' willingness to accept compensation as the dependent variable, the binary Logistic model was used to analyze the influencing factors affecting the farmers' WTA. The results show that the farmers residing around the protected area possessed a certain degree of awareness of environmental protection. A total of 88% of the farmers chose a non-zero WTA, with an average minimum WTA compensation of RMB 7 727.7 Yuan·hm-2·a-1. The analysis of the Logistic model show that the age of the farmers, acreage of farmland, and acknowledgement of compensation for ecological services were the major factors affecting their WTA compensation. The results of this study offer suggestions regarding the effective implementation of compensation for ecological services in the Yancheng Rare Bird Nature Reserve, while also provide a scientific reference for that in other protected areas.

Key words: contingent valuation method (CVM), willingness to accept (WTA), binary Logistic model, Yancheng Rare Bird Nature Reserve

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