Benefit Transfer of Forest Recreation Use Values in Taiwan
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[Abstract] This study systematically summarized journal papers employing non-market economic benefit tools to analyze forest recreation benefit in Taiwan. This study employed 67 estimated parameters, obtained by summarizing 11 published pertinent journal papers in R.O.C. from 1987 to 2002. The estimated recreation benefit sample means were from NT$560 per person per year in full sample to NT$395 per person per year in 50% of the sample size. The medians were between NT$355 and NT$331 in different percentage of the sample size. Since tests revealed that there was no stratification artifacts on the recreation benefit parameters, two models were constructed by conventional linear and exponential regression methods with MLE estimate techniques separately. The results indicated no significant difference about the β coefficients and standard errors to the recreation benefit values between these two models, and through the model efficiency test, the fitness of the exponential regression model is better than of linear regression model. According to the exponential regression model, the main factors to affect economic benefit were: evaluation methods, location of forest recreation sites, and inclusion of stream, ocean and exceptional landscape. However, genres and qualities of activities within forest recreation area did hardly impact recreation benefit parameters. Hence, application of this model for evaluating perspective forest recreational areas could strengthen the investigation of location and forest resources.
【摘要】本研究系统性梳理了采用非市场经济效益工具分析台湾地区森林游憩效益的期刊论文。本研究整合1987年至2002年间中国台湾地区11篇相关已发表期刊论文的内容,共获取67个估算参数。全部样本的游憩效益样本均值为每人每年560新台币(NT$),当样本量缩减为50%时,均值降至每人每年395新台币;不同样本占比下的中位数介于331新台币至355新台币之间。由于检验结果表明游憩效益参数不存在分层偏倚,本研究分别采用常规线性回归、指数回归方法,并结合极大似然估计(Maximum Likelihood Estimation, MLE)技术构建两类模型。结果显示,两类模型在游憩效益值对应的β系数与标准误方面均无显著差异;经模型效率检验,指数回归模型的拟合优度优于线性回归模型。基于指数回归模型,影响游憩经济效益的主要因素包括:评估方法、森林游憩场地的区位,以及是否包含溪流、海洋与特殊景观。但森林游憩区内活动的类型与品质,几乎不会对游憩效益参数产生影响。因此,将该模型应用于潜在森林游憩区域的效益评估,可强化对区位与森林资源的调研工作。
创建时间:
2013-06-12



