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生态学杂志 ›› 2011, Vol. 30 ›› Issue (04): 824-830.

• 综述与专论 • 上一篇    下一篇

北京市湿地生态系统非使用价值

肖艳芳1,赵文吉1,朱琳1**,蒋卫国2,侯鹏2   

  1. 1首都师范大学三维信息获取与应用教育部重点实验室, 北京 100048;2北京师范大学环境演变与自然灾害教育部重点实验室, 北京 100875
  • 出版日期:2011-04-08 发布日期:2011-04-08

Non-use value of wetland ecosystem in Beijing.

XIAO Yan-fang1, ZHAO Wen-ji1, ZHU Lin1**, JIANG Wei-guo2, HOU Peng2   

  1. 1Key Laboratory of Three-Dimension Information Acquisition and Application, Capital Normal University, Beijing 100048, China|2Key Laboratory of Environmental Change and Natural Disaster, Beijing Normal University, Beijing 100875, China
  • Online:2011-04-08 Published:2011-04-08

摘要: 非使用价值是生态系统的内在属性,科学合理地评价该价值对生态资源管理和合理配置具有重要意义。本文运用条件价值法(CVM法),通过调查北京市居民的支付意愿,定量评估北京市湿地生态系统的非使用价值。采用分区方式,根据分区的人口数确定发放调查问卷的数量,于2008年10月分别在城区和郊区随机发放600份和300份调查问卷。采用修正的单纯随机抽样统计分析模型,提出以家庭作为抽样统计单位的思想,分别对两分区反馈回的调查问卷进行统计分析,得到北京市湿地生态系统非使用价值的评估总值为每年2.65亿元,其中城区为每年1.99亿元,郊区为每年0.66亿元。分析社会特征与支付意愿和WTP值的相关性得出:教育程度和年龄是影响支付意愿和WTP值的主要因素;月收入在城区样本中对支付意愿和WTP值的影响很小,而在郊区样本中的影响则相当显著;性别对支付意愿和WTP值的影响不大。

关键词: 无瓣海桑, 海桑, 热值, 能量, 深圳福田

Abstract: Non-use value is an inherent attribute of ecosystem. To scientifically and rationally evaluate this value is of significance in managing and properly allocating ecological resources. By adopting contingent valuation method (CVM) and via the investigation of habitants’ willingness to pay (WTP), this paper quantitatively evaluated the non-use value of wetland ecosystem in Beijing. Because of the socio-economic differences, Beijing was divided into two sub-regions, i.e., urban sub-region and suburb sub-region. According to the populations in the regions, 600 questionnaires in urban region and 300 questionnaires in suburb region were handed out in October 2008, and, by using modified random sampling model and taking family as a unit, the questionnaires fed back from the two sub-regions were analyzed respectively. As for the habitants in urban sub-region, the non-use value of the wetland ecosystem was 199 million Yuan per year; and for those in rural sub-region, the non-use value was 66 million Yuan per year. The analysis on the relationships between society features and WTP showed that habitants’ educational background and age were the main factors affecting the WTP, and monthly income had significant effects on the WTP in suburb sub-region but no significant effects in urban sub-region.

Key words: Sonneratia apetala, Sonneratia caseloris, Caloric value, Energy, Futian of Shenzhen