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评估数据有限情况下保护区的经济影响;以冰岛三个国家公园为例。

Evaluating economic impacts of protected areas in contexts with limited data; the case of three national parks in Iceland.

机构信息

Environment and Natural Resources, School of Social Sciences and School of Engineering and Natural Sciences, University of Iceland, 102 Reykjavík, Iceland.

Environment and Natural Resources, School of Social Sciences and School of Engineering and Natural Sciences, University of Iceland, 102 Reykjavík, Iceland.

出版信息

J Environ Manage. 2023 Sep 15;342:118085. doi: 10.1016/j.jenvman.2023.118085. Epub 2023 May 23.

DOI:10.1016/j.jenvman.2023.118085
PMID:37229934
Abstract

Economic impacts of protected areas (PAs) are receiving more attention in recent years and methodology in this area is advancing. Multiple studies have illustrated that PAs are a potent land use strategy to generate multiple and direct economic benefits. These benefits are driven by tourism as the central economic activity in PAs worldwide. This study takes the case of Snæfellsjökull, Vatnajökull and þingvellir National Parks (NPs) in Iceland, characterized by limited regional economic data and multi-destination and -purpose visitor travel patterns. Its main objective is to advance understanding of the economic impacts related to PAs in the context of limited data availability. Our analysis is based on the widely used Money Generation Model (MGM2) -methodology, localized to the Icelandic context by using Icelandic labour data and national input-output (I-O) tables regionalized using the Flegg Location Quotient (FLQ). We provide a consistent approach for handling multi-destination and -purpose trips, and separating spending data between local and overall impacts. Based on 2019 visitor and economic data, the visitors (N = 2087) spent, on average, $113 per day in the parks and generated estimated total economic impacts between $30-99 MM with 347-1140 jobs generated across the study sites. For example, in Vatnajökull NP's southern region, the jobs supported locally by the park constituted 36% of all the jobs in the municipalities. Combined tax revenue to the state from the three parks was $88 MM. The localized methodology generated similar economic impacts as earlier studies but showed that employment impacts were previously overestimated by the default models. Our approach and findings can be used as a reference for others applying the MGM2 or similar methods, and they support policy development, decision-making and informed discussion between researchers, practitioners in PA and tourism management, municipalities and communities around PAs. Being able to show economic impacts is increasingly important for PAs to ensure sustained funding amid budget cuts and the transition of government bodies to business units. Limitations of the study include a lack of winter data for Vatnajökull and þingvellir NPs and broad categorization of the Icelandic economic data used in the I-O table regionalization. In further research, a comprehensive sustainability analysis is needed to complement the economic impact analysis and site-specific factors could be analysed in more detail.

摘要

近年来,保护区(PA)的经济影响受到了更多关注,该领域的方法也在不断发展。多项研究表明,PA 是一种强有力的土地利用策略,可以带来多种直接的经济效益。这些效益是由旅游业驱动的,旅游业是全球 PA 的核心经济活动。本研究以冰岛的 Snæfellsjökull、Vatnajökull 和 Þingvellir 国家公园(NP)为例,这些地区的经济数据有限,游客的旅行模式具有多目的地和多目的的特点。其主要目的是在数据有限的情况下,增进对与 PA 相关的经济影响的理解。我们的分析基于广泛使用的货币生成模型(MGM2)方法,通过使用冰岛劳动力数据和区域化的国家投入产出(I-O)表(使用 Flegg 位置系数(FLQ)区域化)对其进行了冰岛本土化。我们提供了一种一致的方法来处理多目的地和多目的旅行,并将支出数据在本地和整体影响之间进行分离。根据 2019 年的游客和经济数据,游客(N=2087)在公园的平均日消费为 113 美元,在研究地点产生的总经济影响估计在 30-9900 万美元之间,创造了 347-1140 个工作岗位。例如,在 Vatnajökull NP 的南部地区,公园支持的当地工作岗位占市政当局所有工作岗位的 36%。来自三个公园的州税收合计为 8.80 亿美元。本地化的方法产生了与早期研究相似的经济影响,但表明以前默认模型高估了就业影响。我们的方法和研究结果可以作为其他人应用 MGM2 或类似方法的参考,并且支持政策制定、保护区和旅游管理的研究人员、从业人员以及保护区周围的市政当局和社区之间的决策和知情讨论。能够展示经济影响对于 PA 来说越来越重要,因为在预算削减和政府机构向企业单位过渡的情况下,PA 需要确保持续的资金投入。研究的局限性包括缺乏 Vatnajökull 和 Þingvellir NP 的冬季数据以及在 I-O 表区域化中使用的冰岛经济数据的广泛分类。在进一步的研究中,需要进行全面的可持续性分析来补充经济影响分析,并可以更详细地分析特定地点的因素。

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