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Determining the recreational value of forest park by travel cost method and defining its effective factors

机译:用旅行成本法确定森林公园的休闲价值并确定其有效因素

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Considering the importance of recreation and excursions in household’s basket of expenditures on the one hand, and not paying attention to the economic value of recreational function for natural resources and environment as non-market goods on the other hand, this paper was written with the aim of estimating the recreational value of Shahid Zare Sari Forest Park when using the individual travel cost method. Requested data sets were obtained by completing questionnaires from 302 individuals who visited the above-mentioned park in 2012–2013. In the individual travel cost method, for the investigation of distributional effects of variables on the number of travels, a linear regression model was applied. For this purpose the travel generation function using linear, double log, linear-log and log-linear forms was estimated. Among these forms, according to the econometrical parameter, a linear function was selected and parameters were estimated based on the method of ordinary least squares. The consumer surplus was 12.53 USD per each visit and the annual recreational value of 72,500 people who visited the park annually was 52,558?USD·ha–1. The findings also showed that the involved variables, travel costs, income and visitor’s distance were statistically significant at 1% level and family and education were significant at 5% level. Results revealed that forest parks have a considerable recreational value that, from this point of view, can help programmers and executives, social and economic managers in the preservation planning and sustainable utilization of natural resources.
机译:一方面,考虑到休闲和郊游在家庭支出中的重要性,另一方面,不考虑休闲功能对于自然资源和环境作为非市场商品的经济价值,因此,本文旨在个人旅行成本法估算沙希德·扎里·萨里森林公园休闲价值的研究。通过填写来自2012-2013年访问上述公园的302个人的问卷调查表,获得了所需的数据集。在个人旅行成本方法中,为了研究变量对旅行次数的分布影响,应用了线性回归模型。为此,估计了使用线性,双对数,线性对数和对数线性形式的行程生成函数。在这些形式中,根据计量经济学参数选择线性函数,并根据普通最小二乘法估算参数。每次访问的消费者剩余为12.53美元,每年参观公园的72,500人的年度娱乐价值为52,558?USD·ha –1 。研究结果还表明,所涉及的变量,旅行成本,收入和访问者的距离在统计学上为1%,而家庭和教育程度在5%。结果表明,森林公园具有相当大的休闲价值,从这个角度来看,可以帮助程序员和高管,社会和经济管理者进行自然资源的保护规划和可持续利用。

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