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出 处:《系统工程理论与实践》2016年第7期1879-1889,共11页Systems Engineering-Theory & Practice
基 金:国家自然科学基金(71171044)~~
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Vbronoi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.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 tile degree of understanding and the models. It's an easier and faster method for the trend for tile study of spatial attributes of willingness to pay use of environment goods, interpretated by Probit surface construction, which has a significant value
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