Valuation of health benefits of green-blue areas for the purpose of ecosystem accounting: a pilot in Flanders, Belgium

IF 1.8 Q3 ECOLOGY
L. de Nocker, I. Liekens, Carolien Beckx, S. Broekx
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引用次数: 0

Abstract

In recent years, a vast amount of scientific literature has highlighted the benefits of nearby green space for physical and mental health, but the large variation in scope, methods and indicators used in these studies hampers the assessment of these benefits in the context of natural capital accounting. To our knowledge, this paper is one of the first studies to quantify and value these benefits in the context of natural capital accounting. A method was developed and applied to the Flemish Region in Belgium for 2013 and 2016. The physical supply and use accounts for health are based on a set of selected dose-effect relationships that quantify the impact of the availability of greenspace on seven specific indicators for physical and mental health, including mortality, cardio-vascular diseases, diabetes and depression. The indicator for green-blue areas is the percentage of green-blue areas in total land use, calculated for 0.5, 1 and 3 km radius from the residence, based on detailed land-use maps (10 m x 10 m) for Flanders, Belgium. The base-line data for mortality and illness are average data for the Flemish Region. These health impacts are weighted using Daly's (disability-adjusted life years) and aggregated. The total health benefits due to the availability of green-blue areas for the total Flemish population was estimated at almost 85,000 DALYs. This is 27% of the estimated total burden of disease in Flanders in 2016 for the seven selected diseases. The monetary accounts are based on a detailed assessment for mortality and morbidity of three different cost components, i.e. avoided medical costs (e.g. hospitalisation) and avoided absenteeism and welfare loss due to suffering and reduced life expectancy. Productivity gains from avoided absenteeism is valued, based on statistics on absenteeism for specific diseases for and labour market data from Belgium and account for 52% of the total monetary value of green spaces. Cost of illness is valued, based on market data and illness specific studies for Belgium or Europe and account for 36% of total values. Welfare gains from increased life expectancy are valued on the basis of European studies for the VOLY (value of a life year lost), based on the simulated exchange value for the willingness-to-pay for increased life expectancy. This accounts for 12% of the total monetary value of green space. The total monetary benefits amount to 464 Euro per inhabitant per year or 3 billion Euro per year for Flanders. This corresponds to 1.3% of the GDP, which reflects the importance of these benefits. The methodology is incomplete as not all health indicators are covered, mainly due to a lack of dose-effect relationships. The research priority for potential users of the accounts is a better indicator for contact with green space that does differentiate between ecosystems, their quality, accessibility or their use. This requires more systematic health impact studies that take these elements into account, as well as more systematic data on the daily use of green space by citizens. In the meantime, an additional set of condition accounts on these elements can be used, especially to follow changes in quality and use of green-blue areas over time.
为生态系统核算目的对绿蓝地区的健康效益进行评估:比利时法兰德斯的一项试点
近年来,大量科学文献强调了附近绿地对身心健康的益处,但这些研究中使用的范围、方法和指标差异很大,妨碍了在自然资本核算的背景下评估这些益处。据我们所知,本文是第一批在自然资本核算背景下量化和评估这些效益的研究之一。2013年和2016年,我们开发了一种方法,并将其应用于比利时的佛兰德地区。健康的实际供应和使用核算是以一套选定的剂量效应关系为基础的,这些关系量化了绿色空间的可用性对身心健康的七个具体指标的影响,包括死亡率、心血管疾病、糖尿病和抑郁症。绿蓝区域的指标是绿蓝区域占总土地利用的百分比,根据比利时法兰德斯详细的土地利用地图(10米× 10米),从住宅半径0.5公里、1公里和3公里计算得出。死亡率和疾病的基线数据是佛兰德地区的平均数据。这些健康影响使用Daly(残疾调整生命年)加权并汇总。由于蓝绿地区的存在,佛兰德人的健康福利总额估计约为85 000残疾调整生活年。这占2016年法兰德斯7种选定疾病估计总负担的27%。货币核算是根据对三种不同成本组成部分的死亡率和发病率的详细评估,即避免医疗费用(如住院费用)和避免因痛苦和预期寿命缩短而旷工和福利损失。根据比利时特定疾病缺勤统计数据和劳动力市场数据,避免缺勤带来的生产力收益受到重视,占绿地总货币价值的52%。根据比利时或欧洲的市场数据和特定疾病研究,对疾病成本进行评估,占总价值的36%。预期寿命增加所带来的福利收益是根据欧洲对VOLY(失去的一个生命年的价值)的研究来计算的,该研究是根据为预期寿命增加而支付的意愿的模拟交换价值来计算的。这占了绿色空间总货币价值的12%。每个居民每年可获得464欧元的总货币收益,或法兰德斯每年可获得30亿欧元的货币收益。这相当于GDP的1.3%,这反映了这些福利的重要性。该方法不完整,因为没有涵盖所有健康指标,这主要是由于缺乏剂量效应关系。对帐户的潜在用户的优先研究是与绿色空间接触的一个更好的指标,它确实区分了生态系统、它们的质量、可达性或它们的使用。这需要更系统地进行健康影响研究,将这些因素考虑在内,也需要更系统地收集市民日常使用绿地的数据。与此同时,可以使用这些元素的附加条件帐户集,特别是随着时间的推移跟踪质量和绿蓝区域使用的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
One Ecosystem
One Ecosystem Environmental Science-Nature and Landscape Conservation
CiteScore
4.60
自引率
0.00%
发文量
26
审稿时长
12 weeks
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