Valuing cultural world heritage sites: an application of the travel cost method to Mont-Saint-Michel

Valuing cultural world heritage sites: an application of the travel cost method to Mont-Saint-Michel
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世界文化遗产地价值评估:旅行成本法在圣米歇尔山的应用

DOI:
10.1080/00036846.2016.1221046
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发表时间:
2017
期刊:
影响因子:
2.2
通讯作者:
J. Boncoeur
J. Boncoeur
中科院分区:
经济学4区
文献类型:
--
作者:
Louinord Voltaire;Loic Lévi;Frédérique Alban;J. Boncoeur

文献摘要

被引文献

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摘要本文采用区域旅行成本法(ZTCM),首次对圣米歇尔山(MSM)的休闲旅游进行了经济评估。MSM于1979年被指定为联合国教育,科学及文化组织世界遗产,是法国访问量最大的沿海景点。消费者剩余(CS)估计的ZTCM的某些方面的潜在影响被认为是,即治疗的多个目的/目的地(MP/D)的行程,包括在娱乐需求模型的时间的机会成本(OCT)和异质性的偏好。通过随机参数泊松模型(RPPM)的异质性的偏好进行检查。RPPM通过允许解释变量的系数在地理单位之间随机变化而不是固定来推广标准泊松模型(SPM)。我们的研究结果表明:(1)实质性CS值与MSM相关;(2)排除/忽略MP/D行程导致CS估计有偏差;(3)省略OCT不会实质性地使CS估计有偏差;(4)RPPM提供了比SPM更丰富的关于解释变量对行程需求影响的信息,但(5)导致统计上与SPM相似的CS估计。
ABSTRACT This article, using the zonal version of the travel cost method (ZTCM), provides the first economic valuation of recreational trips to Mont-Saint-Michel (MSM). The MSM was designated as United Nations Educational, Scientific and Cultural Organization World Heritage Site in 1979, and is the most visited coastal site in France. The potential effects on consumer surplus (CS) estimates of some aspects of the ZTCM are considered, namely the treatment of the multiple purpose/destination (MP/D) trips, the inclusion of the opportunity cost of time (OCT) in the recreation demand model and the heterogeneity in the preferences. The heterogeneity in the preferences is examined through a random parameters Poisson model (RPPM). The RPPM generalizes the standard Poisson model (SPM) by allowing coefficients of explanatory variables to vary randomly across geographical units rather than being fixed. Our results show that (1) substantial CS values are associated with the MSM; (2) excluding/ignoring MP/D trips result in biased CS estimates; (3) omitting OCT does not substantially bias CS estimates; (4) the RPPM provides richer information about the impact of explanatory variables on the demand for trips than the SPM, but (5) leads to statistically similar CS estimates than the SPM.