资源科学 ›› 2016, Vol. 38 ›› Issue (9): 1810-1819.doi: 10.18402/resci.2016.09.18

• • 上一篇    

基于改进选择实验法的广西红树林湿地修复意愿评估

苏红岩(), 李京梅()   

  1. 中国海洋大学经济学院,青岛 266100
  • 收稿日期:2016-03-16 修回日期:2016-07-04 出版日期:2016-09-25 发布日期:2016-09-22
  • 作者简介:

    作者简介:苏红岩,女,山东济南人,硕士生,主要研究方向为海洋经济与资源可持续利用。E-mail:18300207832@163.com

  • 基金资助:
    教育部基地重大项目(2013JJD790032);广西科技兴海专项项目(15OUC0119)

Valuing the willingness to restore mangrove wetlands in Guangxi based on improved choice experiments

SU Hongyan(), LI Jingmei()   

  1. School of Economics,Ocean University of China,Qingdao 266100,China
  • Received:2016-03-16 Revised:2016-07-04 Online:2016-09-25 Published:2016-09-22

摘要:

修复补偿是保育红树林湿地功能不退化的重要手段。基于环境效用水平不下降的假设测度居民对修复红树林湿地各项属性的边际支付意愿是修复补偿的技术前提。本文设计了基于被调查者个人“特定现状评价”的选择实验对广西红树林湿地修复的居民偏好和支付意愿进行研究,确定了红树林面积、景观完整性、湿地水质和生物多样性四个修复属性及相应属性水平,对北海、钦州、防城港297个居民随机抽样调查,运用随机参数Logit模型对居民支付意愿进行量化分析。研究结果表明:①居民对修复湿地水质的边际支付意愿最高,为48.44元/(年·人),其次是红树林面积29.79元/(年?人)和生物多样性27.62元/(年?人);②各项属性“特定现状评价”均为最低等级的居民平均每人每年愿意支付153.56元修复红树林湿地,使其各属性状态均达到历史最高水平;③居民对各修复属性的偏好存在异质性和非对称性。研究成果可为相关部门科学实施红树林湿地修复方案提供参考和借鉴。

关键词: 选择实验法, 特定现状评价, 随机参数Logit模型, 支付意愿, 非对称偏好, 广西

Abstract:

The restoration and compensation of mangrove wetland is an important way to avoid service degradation. Based on the assumption that there is no loss of welfare,valuing residents’ marginal willingness to pay for each restoration attribute of mangrove wetland is an essential prerequisite to assess the scale of restoration and compensation. This strategy will also aid policymakers to identify the most important wetland attribute and formulate efficient restoration measures,significant for sustainable ecosystem services. To assess residents’ preference and willingness to pay for restoration of mangrove wetlands in Guangxi,we present a choice experiment with respondent-specific status quo alternatives. The restoration attributes are divided into four parts:mangrove area,landscape integrity,water quality and biodiversity. Each attribute has its own corresponding levels. The number of residents who are sampled at random in Beihai,Qinzhou,Fangchenggang is 297. Based on real survey data,the random parameter Logit model is used to quantify residents’ willingness to pay. The results demonstrate that the willingness of local residents to pay for improving water quality is 48.44 CNY per person per year,which is the highest among the four restoration attributes,followed by increasing mangrove area and biodiversity. In addition,to make the level of each mangrove attribute achieve the highest in history,residents whose specific status quo alternatives are all lowest want to pay 153.56 CNY per person per year for the restoration of wetlands. Heterogeneous and asymmetric preferences were detected. These findings will provide a reference for mangrove wetland scientific restoration scheme in China.

Key words: choice experiments, specific status quo assessment, random parameter Logit Model, willingness to pay, asymmetric preference, Guangxi Province