Risk Assessment and Adaptation to Climate Change Impacts in Mexico for Indigenous and Women

Ú. Oswald-Spring
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Abstract

The present article studies the policy, numbers, and costs of disaster risk management (DRM) in Mexico, a country highly exposed to climate change, due to two oceans warming up. The PEISOR methodology facilitates interrelating complex interactions and pressures between the natural and the societal system (P), where dangerous effects (E) occur in extreme events, such as floods, landslides, and drought. The impacts (I) of global warming, the pressure of historical poverty, and vulnerable regions were affected by the COVID-19 pandemic. These societal outcomes (SO) are aggravated by gender and ethnic discrimination. The governmental response (R) has built up an alternative health system with access to medical attention. About DRM against climate catastrophes, loss and damage (L&D) policies prioritized cash transfers to affected people. This policy increased the dependency of poor people but produced electoral benefits for the leading party. Nevertheless, this DRM limits adaptation and resilience-building among social groups living in exposed regions mainly in the South, where indigenous groups suffer from low human development index and extreme poverty. The article also compares the quantitative costs of disasters in Mexico during the last five decades. Growing L&D invoices for the government and affected people occurred predominantly during the last decade. Worsening climate conditions, combined with the COVID-19 pandemic, public insecurity, and extreme poverty, represent survival threats for exposed people, where only a local bottom-up resilience-building may create an integrated DRM. In conclusion, the reactive policy of L&D has raised the electoral support of needed people but limited adaption to deal with extremer climate impacts. The official DRM policy impacts allocated 96% of the disaster budget for reconstruction and emergency management and only 4% for prevention. Especially affected are women, girls, and indigenous people with the highest death toll. Empowering these vulnerable groups would create greater resilience, where training in care economy, and environmental restoration could reduce the risks. The lack of adaptation also created a dependency on foreign countries for climate advice, hurricane tracking, early warnings, and disaster recovery, where affected people are trapped in poverty and often forced to migrate.
墨西哥土著和妇女对气候变化影响的风险评估和适应
本文研究了墨西哥的灾害风险管理(DRM)政策、数量和成本,墨西哥是一个由于两大洋变暖而高度暴露于气候变化的国家。PEISOR方法促进了自然系统和社会系统(P)之间复杂的相互作用和压力的相互关联,其中危险效应(E)发生在极端事件中,如洪水、山体滑坡和干旱。全球变暖、历史贫困压力和脆弱地区的影响受到新冠肺炎疫情的影响。性别和种族歧视加剧了这些社会结果。政府应对措施(R)建立了一个可获得医疗服务的替代性卫生系统。关于应对气候灾难的DRM,损失和损害(L&D)政策优先考虑向受影响人群提供现金转移。这一政策增加了穷人对政府的依赖,但却为执政党带来了选举利益。然而,这种DRM限制了主要生活在南方暴露地区的社会群体的适应和恢复能力建设,那里的土著群体遭受着低人类发展指数和极端贫困。这篇文章还比较了过去50年墨西哥灾害的数量成本。政府和受影响人群的L&D发票增长主要发生在过去十年。不断恶化的气候条件,再加上2019冠状病毒病大流行、公共不安全和极端贫困,对受影响人群构成了生存威胁,只有在当地开展自下而上的复原力建设,才能创建一个综合的DRM。总之,L&D的反应性政策提高了所需人群的选举支持,但限制了应对极端气候影响的适应性。灾害管理的官方政策影响将96%的灾害预算用于重建和应急管理,只有4%用于预防。受影响最大的是妇女、女孩和土著人民,死亡人数最多。增强这些弱势群体的权能可以增强他们的抵御能力,而护理经济和环境恢复方面的培训可以降低风险。缺乏适应能力还造成了在气候咨询、飓风跟踪、早期预警和灾难恢复方面依赖外国,而受影响的人们陷入贫困,往往被迫迁移。
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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