Using environmental indicators in performance evaluation of sustainable development health goals
Using environmental indicators in performance evaluation of sustainable development health goals
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利用环境指标评价可持续发展健康目标的绩效
DOI：
10.1016/j.ecolecon.2021.107263
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发表时间：
2022
影响因子：
7
通讯作者：
Georgia Argyropoulou
中科院分区：
文献类型：
--
作者：
G. Halkos;Georgia Argyropoulou
良好健康对可持续发展至关重要；如果使人衰弱的传染病和非传染病普遍高发，如果人口没有身体、精神和社会福祉，其他可持续发展目标就无法实现（联合国大会，2012年）。《2030年可持续发展议程》的第三个目标涉及健康和可持续发展，将健康与空气和水污染等环境因素相关指标联系起来。在本研究中，我们使用了两种最突出的方法来衡量可持续发展目标在国家层面的绩效：贝塔斯曼指数- BI （Lafortune等人，2018；Sachs等人，2018）和经合组织的距离测量指数- DMI（经合组织，2017），通过使用1990年至2017年期间107个联合国国家的第三个可持续发展目标的空气污染，中毒，卫生条件差和不安全水指标。根据世界银行2020-2021年的收入分类，上述国家被分为四个收入类别：低收入、中低收入、中高收入和高收入。最后，结合国家收入类别考察绩效指标，我们得出BI与收入呈正相关关系，DMI与收入呈负相关关系的结论。
Good health is essential for sustainable development; the other sustainable development goals cannot be achieved with prevalent high rates of debilitating infectious and non-infectious illnesses and without physical, mental and social wellbeing in the population (UN General Assembly, 2012). The third goal of the 2030 Sustainable Development Agenda addresses health and sustainable development by linking health to indicators related to environmental factors, such as air and water pollution. In this research, we use the two most prominent methods for the SDG's performance measurement at the country level: the simple mean Bertelsmann Index – BI (Lafortune et al., 2018; Sachs et al., 2018) and the OECD's Distance Measure Index – DMI (OECD, 2017) by using the air pollution, poisoning, poor sanitation, and unsafe water indicators of the third SDG goal for 107 United Nations countries for the period between 1990 and 2017. The above countries are divided into four income categories, corresponding to the 2020–2021 World Bank income classification: Low Income, Lower–Middle Income, Upper–Middle Income and High Income. Finally, looking at the performance indicators in combination with the country income categories, we conclude a positive relationship between BI and income and a negative relationship between DMI and income.