支付内罗毕国家公园费用的意愿:离散选择实验的应用

Mongare G. Kemunto, Gathiaka Kamau
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摘要

内罗毕国家公园是一个受保护的生态系统,各种类型的野生动物在这里藏身。最近,由于修建了一条标准轨距铁路(SGR)线和一条名为“南部支路”的高速公路,公园遭到了破坏。这些发展引起了人们的担忧,即它们的综合环境成本可能是巨大的。本研究试图通过离散选择实验来确定公园属性恢复的支付意愿。重点关注以下属性:(1)野生动物种群和物种多样性;(2)分散和迁徙地区的野生动物运动;(3)植被密度和多样性。所用数据来自内罗毕基西大学93名学生。价格属性以门费增加的形式被包括在内,以得出WTP估计值。多项式logit回归估计表明,受访者对除属性4外的所有属性的恢复都是WTP。属性1和2引发了最高的WTP,可能受这两个项目的影响最大。与学生和年轻人相比,拥有稳定工作的中年受访者可能会为恢复这些特质支付更多的费用。根据调查结果,政府可以考虑将公园搬迁到一个具有更好环境属性的地方。关键词:内罗毕国家公园,生态系统,离散选择实验,支付意愿,公园属性,多项式逻辑。
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Willingness to pay for Nairobi National Park: An application of discrete choice experiment
Nairobi National Park is a protected ecosystem where various types of wildlife find hiding place. The park has in the recent past experienced destruction through construction of a standard gauge railway (SGR) line and a highway called the Southern bypass. These developments raise concern with the possibility that their combined environmental cost being enormous. This study sought to determine the willingness to pay (WTP) for the restoration of the park attributes using discrete choice experiment. The focus was on the attributes of (1) wildlife population and diversity of species, (2) wildlife movement in dispersion and migration areas, (3) vegetation density and diversity, (4) security of wildlife and people, and (5) environmental safety and quality. The data used was collected from 93 students of Kisii University, Nairobi campus. A price attribute in form of an increase in gate fee was included to elicit WTP estimates. Multinomial logit regression estimates indicated that respondents were WTP for the restoration of all the attributes except attribute 4. Attributes 1 and 2 elicited the highest WTP and could be the most affected by the two projects. Middle-aged respondents with stable jobs were likely to pay more for the restoration of the attributes compared to students and the youth. Based on the findings, the government could consider relocating the park to a place with better environmental attributes. Key words: Nairobi National Park, ecosystem, discrete choice experiment, willingness to pay, park attributes, Multinomial logit.
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