支付意愿距离衰减效应一次趋势面构建与实证

焦扬, 敖长林, 佟锐, 高琴

系统工程理论与实践 ›› 2016, Vol. 36 ›› Issue (7) : 1879-1889.

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系统工程理论与实践 ›› 2016, Vol. 36 ›› Issue (7) : 1879-1889. DOI: 10.12011/1000-6788(2016)07-1879-11
论文

支付意愿距离衰减效应一次趋势面构建与实证

    焦扬, 敖长林, 佟锐, 高琴
作者信息 +

Construction of trend surface and distance decay effect of willingness to pay

    JIAO Yang, AO Changlin, TONG Rui, GAO Qin
Author information +
文章历史 +

摘要

支付意愿的空间属性对环境资源恢复的费用分担等价值评估具有重要意义.本文通过子区域划分与一次趋势面构建研究不同区域支付意愿的空间变化规律及相关关系.以松花江非市场价值为例,利用Voronoi多边形划分71个子区域,并构建各子区域的支付意愿一次趋势面,结果表现为高支付意愿地区呈空间聚集,且主要集中在环境资源所在区域,低支付意愿地区表现为相互独立,且较为均匀地分散在环境资源所在区域两侧.通过Probit模型发现对支付意愿产生影响的并不单纯是距离,而是对环境资源的了解程度和使用程度,表征为距离.一次趋势面方法计算简便快捷,对支付意愿的空间属性研究具有较高的应用价值.

Abstract

Spatial attributes of willingness to pay (WTP) is important for environmental recovery cost sharing. By division of sub-area and construction of trend surface, it is forces on rules of different areas spatial variation of willingness to pay. As a study case, 71 sub-areas of Songhua River is divided by Voronoi Polygon and trend surface of willingness to pay is constructed for each sub-area for the non-use value. High WTP areas spatially aggregated around the environmental goods, as low WTP areas dispersed on both sides of the environment goods uniformly as shows the result. Which influenced the WTP is not only the distance, but the degree of understanding and the use of environment goods, interpretated by Probit models. It's an easier and faster method for the trend surface construction, which has a significant value for the study of spatial attributes of willingness to pay.

关键词

支付意愿 / 空间属性 / 距离衰减效应 / 一次趋势面

Key words

willingness to pay / spatial attributes / distance decay effect / trend surface

引用本文

导出引用
焦扬 , 敖长林 , 佟锐 , 高琴. 支付意愿距离衰减效应一次趋势面构建与实证. 系统工程理论与实践, 2016, 36(7): 1879-1889 https://doi.org/10.12011/1000-6788(2016)07-1879-11
JIAO Yang , AO Changlin , TONG Rui , GAO Qin. Construction of trend surface and distance decay effect of willingness to pay. Systems Engineering - Theory & Practice, 2016, 36(7): 1879-1889 https://doi.org/10.12011/1000-6788(2016)07-1879-11
中图分类号: Q141   

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国家自然科学基金(71171044)
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