旅游环境资源经济核算的理论方法与研究展望  

Theoretical Methods and Research Prospects of Economic Accounting of Tourism Environmental Resources

作　　者：陈小鹏 张凯壮 张洁[1] Chen Xiaopeng;Zhang Kaizhuang;Zhang Jie(Guilin Tourism University,Guilin Guangxi 541004,China;School of Housing,Architecture and Planning,University Sains Malaysia,Penang 11700,Malaysia)

机构地区：[1]桂林旅游学院,广西桂林541004 [2]马来西亚理科大学住房、建筑与规划学院,马来西亚槟城11700

出　　处：《统计与决策》2024年第15期40-45,共6页Statistics & Decision

基　　金：桂林旅游学院重点研究基金(2021A01)。

摘　　要：随着社会公众环境保护意识的增强,旅游业繁荣背后所引发的环境退化、生态系统破坏等问题受到学术界的广泛关注,其中较多研究聚焦于旅游环境资源经济核算这一基础工作。文章梳理了国内外近二十年来在核算旅游环境资源经济价值方面的关键理论和研究方法演进。研究发现:(1)陈述偏好理论在环境资源经济价值评估中得到了广泛应用,然而,近年来基于效用转移理论的元分析成为一种新的研究趋势;(2)随机效用最大化理论和双边界二分式选择模型是主要的旅游环境资源经济核算方法,但是近年来较多学者开始关注该方法的有效性问题;(3)以大数据和卫星遥感为代表的新技术逐渐受到重视,但是研究者还应该关注受试者的“搭便车”心理对研究结论造成的影响。As public awareness of environmental protection increases,the environmental degradation and ecosystem damage caused by the prosperity of tourism have attracted extensive attention from the academic community,among which many researches focus on the fundamental task of economic accounting of tourism environment and resources.This paper reviews key theories and research methods related to assessing the economic value of tourism environment and resources over the past two decades.The research findings are as follows:(1)The theory of stated preference has been widely used in evaluating environmental resource economic value,but in recent years,meta-analysis based on utility transfer theory has emerged as a new research trend.(2)The random utility maximization theory and double boundary dichotomous choice model are the main methods for evaluating tourism environmental resource economic value,but in recent years,many scholars have begun to pay attention to the effectiveness of this method.(3)New technologies,such as big data and satellite remote sensing,have gradually attracted attention,but researchers should also pay attention to the impact of subjects’“free rider”psychology on research conclusions.

关 键 词：旅游环境资源 经济核算 关键理论 方法论演进 

分 类 号：F590[经济管理—旅游管理]