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首页> 外文期刊>Ocean & coastal management >Fuzzy disassembling of coastal public resources pricing: A case study of shoal wetland in Qingdao
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Fuzzy disassembling of coastal public resources pricing: A case study of shoal wetland in Qingdao

机译:沿海公共资源价格的模糊分解-以青岛浅滩湿地为例

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摘要

This paper focus on pricing methodology research about coastal resources contain of non-use value. Reasonable and accurate assessment of resources plays an important role in the management of coastal zone. But valuation of resources that contain of non-use value, which is called coastal public resources in this paper, is still unsatisfactory on its validity and reliability. This paper extends the study of pricing model, which based on Subordinate Function of resource price, to a forward step research to analyze of how the resources are priced by respondents. And there are three steps to reach this aim. A survey about shoal wetland price per year is conducted to citizens of Qingdao City firstly, and then the pricing results of respondent are disassembled to a series weights of factors through the resolution of fuzzy relationship equations. Finally, causality between characters of respondent and weights of factor are analyzed by means of multivariate correlation analysis. The study indicates that the "Knowledge about the resource" is the most influential character of respondent that impact on a resource pricing, while "Education" is the second of influential. And "Distance from the location of resource" has the least impact on the pricing. However, another finding is that none of the 5 characters are critical to a resource pricing.
机译:本文主要关注沿海资源中包含非使用价值的定价方法研究。合理,准确地评估资源在沿海地区的管理中起着重要的作用。但是,对包含非使用价值的资源的估值(在本文中称为沿海公共资源)在其有效性和可靠性上仍然不能令人满意。本文将基于资源价格从属函数的定价模型的研究扩展到向前一步的研究,以分析受访者对资源的定价方式。要实现此目标,需要执行三个步骤。首先对青岛市民进行了年度浅滩湿地价格调查,然后通过模糊关系方程的解析,将被调查者的定价结果分解为一系列因子权重。最后,通过多元相关分析,分析了受访者特征与因子权重之间的因果关系。研究表明,“对资源的了解”是影响资源定价的被调查者最有影响力的特征,而“教育”则是影响力第二的影响力。而“与资源位置的距离”对定价的影响最小。但是,另一个发现是,这5个字符都不对资源定价至关重要。

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  • 来源
    《Ocean & coastal management》 |2012年第4期|p.40-46|共7页
  • 作者

    Weideng Wu; Changkuan Zhang;

  • 作者单位

    College of Harbor, Coastal and Offshore Engineering, Hohai University, Nanjing, Jiangsu 210098, China Lab of Ocean Dynamics, The Third Institute of Oceanography, State Oceanic Administration, Xiamen, Fujian 361005, China;

    College of Harbor, Coastal and Offshore Engineering, Hohai University, Nanjing, Jiangsu 210098, China;

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