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Fuzzy Analysis of Impact Factors on Shoal Wetland Pricing in Xiamen

机译:厦门浅滩湿地定价的影响因素模糊分析

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This paper focus on pricing methodology research about 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 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 tbree steps to reach this aim. A survey about shoal wetland price per year is conducted to citizens of Xiamen firstly, 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 "Income 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:本文重点关注定价方法研究资源的不含价值。合理和准确的资源评估在沿海地区的管理中发挥着重要作用。但是估值包含非使用价值的资源仍然不满意其有效性和可靠性。本文扩展了对价格模型的研究,基于资源价格的下属功能,向前步骤研究,分析资源如何被受访者所定价。并且有TBREE步骤达到这种目标。厦门市民对浅滩湿地价格进行了一项调查,然后通过分辨模糊关系方程来拆解受访者的定价结果,拆解了一系列重量因素。最后,通过多变量相关分析分析受访者的特征与因子重量之间的因果关系。该研究表明,“资源知识”是受访者对资源定价影响最有影响力的特征,而“收入是影响力的第二个是有影响力的和”距离对定价的影响最小。但是,另一个发现是,5个字符中的任何一个都不是资源定价。

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