基于条件价值法对城市老旧居住区景观改造支付意愿分析研究——以福州河南新村为例

Analysis of willingness to pay for landscape reconstruction of old urban residential areas based on CVM:A case study of Henan Community in Fuzhou City

该研究以福州河南新村作为研究对象,利用条件价值法计算支付意愿值,并利用二元Logistics回归模型和多元线性回归模型,对影响居民支付意愿和支付金额的因素进行分析。结果显示:(1)59.12%的受访者有支付意愿,人均支付金额为71.25元(1次性支付)。(2)对城市老旧居住区景观改造的了解程度、居住时长、平均每天在公共区域的活动时长对支付意愿有显著正相关影响,对现状景观满意度和受访者年龄与支付意愿呈显著负相关影响。(3)受访者受教育水平和月收入水平对支付金额有显著正相关影响,对城市老旧居住区景观改造的了解程度、现状景观满意度、受访者年龄与支付金额有显著负相关影响。城市老旧居住区景观改造是提升人居环境的重要途径之一,可为政府引导居民参与老旧居住区景观改造提供决策参考。

This study takes Henan community in Fuzhou as the research object, uses the conditional value method to calculate the willingness to pay, the binary logistic regression model, and multiple linear regression model to analyze the factors affecting residents′ willingness to pay and the amount of payment. The results showed that:(1) 59.12% of the respondents were willing to pay, and the per capita payment amount was 71.25 yuan RMB(one-time payment).(2) The understanding of the landscape reconstruction of old urban residential areas, the length of residence, and the average time of activities in public area had a significant positive correlation with the willingness to pay, and the current landscape satisfaction and age had a significant negative correlation with the willingness to pay.(3) Respondents have a significant positive impact on the payment amount for the level of education and monthly income levels, was a significant negative correlation between the understanding of landscape reconstruction in old urban residential area, current landscape satisfaction, age and the payment amount. As an importnat way to improve the living environment, the landscape reconstruction of old urban residential area could provide decision-making reference for the government to guide the participation of residents.