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塔纳湖属性的经济估值:随机参数模型

Economic valuation of attributes of Lake Tana: random parameter model.

作者信息

Getnet Asmamaw, Taw Tefera Berihun

机构信息

Department of Economics, Debre Tabor University, Ethiopia.

School of Economics, University of Gondar, Ethiopia.

出版信息

Heliyon. 2021 Nov 11;7(11):e08356. doi: 10.1016/j.heliyon.2021.e08356. eCollection 2021 Nov.

Abstract

The general objective of the study is estimating economic value of Lake Tana attributes using stated preference method of valuation in general and choice experiment method in particular. The target population was households who live around Lake Tana. The study has identified four attributes of Lake Tana (Water quality, fishery, irrigation, and recreation). The study has formulated three alternatives in which two of them were improved whereas the one is the status quo. Each attribute has three levels. The study has surveyed 238 households which were selected using multistage sampling method. Each respondent was presented with eight choice sets. Each choice set has three alternatives including opt option. The study has employed random parameter logit model for data analysis. In line with this model the study has conducted the extended random parameter logit model. The status quo (ASC0) is negative and significant both in random parameter logit model but positive and insignificant in extended random parameter logit model. This means that households have preferred the improved situation of the Lake Tana. This indicates that households are willing to pay to improve the current situation of the lake. Random parameter logit model shows that all improved attributes have positive sign and significant at 1% significance level. This means that improved situation of attributes that are identified by this study improve utility of households. Government should protect Lake Tana from any problem by raising funds from households since households are willing to pay to improve Lake Tana's attributes.

摘要

该研究的总体目标是,一般使用陈述偏好估值法,特别是选择实验法来估算塔纳湖属性的经济价值。目标人群是居住在塔纳湖周边的家庭。该研究确定了塔纳湖的四个属性(水质、渔业、灌溉和娱乐)。该研究制定了三种方案,其中两种是改善后的方案,一种是现状方案。每个属性有三个级别。该研究使用多阶段抽样方法对238户家庭进行了调查。向每位受访者展示了八个选择集。每个选择集有三个方案,包括选择选项。该研究采用随机参数logit模型进行数据分析。基于此模型,该研究进行了扩展随机参数logit模型分析。现状(ASC0)在随机参数logit模型中为负且显著,但在扩展随机参数logit模型中为正且不显著。这意味着家庭更喜欢塔纳湖改善后的状况。这表明家庭愿意支付费用来改善湖泊的当前状况。随机参数logit模型表明,所有改善后的属性都具有正号,且在1%的显著性水平上显著。这意味着本研究确定的属性的改善状况提高了家庭的效用。由于家庭愿意支付费用来改善塔纳湖的属性,政府应该通过向家庭筹集资金来保护塔纳湖免受任何问题的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c508/8591505/3fddc1aa2a5a/gr1.jpg

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