基于CVM法的历史文化街区非使用价值评估研究——以福州三坊七巷为例

发布时间：2018-05-25 15:23

本文选题：历史文化街区 + 条件价值法　；参考：《福建师范大学学报(自然科学版)》2014年06期

【摘要】：基于条件价值法(CVM),通过构建假想市场,询问游客对保护三坊七巷历史文化街区的最大支付意愿(WTP),评估三坊七巷非使用价值.研究结果表明,58.11%的游客愿意为三坊七巷的永续存在而支付一定费用,平均支付意愿值为41.89元·a-1;2013年三坊七巷非使用价值为3.88亿元,其中存在价值、遗产价值、选择价值分别为2.16,1.23,0.48亿元.其次,不同支付动机直接影响到三坊七巷非使用价值的内部差异程度;游客个人月收入、满意度以及其他因素(抗议性因素、不信任因素、不认可因素、经济因素、不感兴趣因素以及游客对三坊七巷的了解程度等)也是影响三坊七巷非使用价值的重要因素.研究结果有助于了解游客对三坊七巷修复改造后非使用价值的认可程度,为地方政府及相关部门进一步制定历史文化街区可持续保护性开发决策提供一定的科学依据.
[Abstract]:Based on the conditional value method (CVM), by constructing a hypothetical market, visitors are asked about their maximum willingness to pay for the protection of historical and cultural blocks in Sanfang and Seven alleys, and the non-use value of the three Fangfang and Seven alleys is evaluated. The results show that 58.11% of the tourists are willing to pay a certain fee for the sustainable existence of three lanes and seven alleys, and the average willingness to pay is 41.89 yuan a 1; in 2013, the non-use value of the three lanes and seven lanes is 388 million yuan, of which the existence value and heritage value. The value of selection was 2.16, 1.23, 48 million yuan respectively. Secondly, different payment motivations directly affect the internal difference of non-use value of three lanes and seven lanes, the monthly income of tourists, satisfaction and other factors (protest factor, distrust factor, disapproval factor, economic factor, etc. The factors of no interest and the tourists' understanding of the seven lanes are also the important factors that affect the non-use value of the three lanes and seven lanes. The results of the study are helpful to understand the degree of recognition of the non-use value after the restoration and renovation of the three lanes and seven alleys, and to provide a scientific basis for the local government and relevant departments to further formulate the sustainable protective development decision of the historic and cultural district.
【作者单位】：福建师范大学地理科学学院/旅游研究所;
【基金】：国家自然科学基金资助项目(41371163) 福建省自然科学基金资助项目(2014J01150)
【分类号】：G124;F592.7

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