课题基金 / 基金详情

Towards a green and inclusive post-pandemic recovery of the Blue Economy and coastal communities

Towards a green and inclusive post-pandemic recovery of the Blue Economy and coastal communities
实现蓝色经济和沿海社区的绿色和包容性疫情后复苏
批准号:
2223710
负责人:
Marta Vicarelli
金额:
$20.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-06-01 至 2025-05-31

项目摘要

项目成果

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中文摘要
翻译
本研究项目利用哥斯达黎加、德国、苏格兰(英国)和美国四个国家沿海社区的案例研究,研究COVID-19大流行对这些社区的环境和经济影响。这些社区依赖依赖沿海旅游(蓝色经济)的沿海社区维持生计,但大流行导致这些社区的旅游和其他经济活动急剧减少。该项目评估了蓝色经济社区倾向于恢复的哪些方面;沿海社区韧性和包容性发展的决定因素;以及依赖沿海旅游(蓝色经济)维持生计和社会经济绩效的沿海社区的决定因素。此外,该项目还包括对早期职业研究人员的培训。这项研究特别关注弱势群体的恢复能力,以及可能的恢复策略。本研究项目的成果为政策提供了投入,以减轻COVID-19大流行对环境敏感的沿海社区社区的负面影响,并为大流行后沿海经济发展提供了有弹性和公平的发展。因此,这项研究的结果可以帮助美国成为环境和气候友好型发展的全球领导者。本研究项目采用多种方法和比较方法研究COVID-19大流行的环境和社会经济影响,特别是对依赖环境旅游的沿海经济体的影响(蓝色经济)。具体而言,该项目研究2019冠状病毒病的社会经济影响和应对政策;蓝色经济的COVID-19短期和长期复苏战略;沿海绿色和包容性恢复政策的障碍成功弹性恢复策略的要素;经验教训和最佳做法可在不同风险和地点之间进行转移,以有效应对或预防未来的危机。该项目采用了对沿海地区当局和企业的大规模调查,离散选择实验来评估未来的恢复方案,以及专家访谈。这项研究的结果与每个国家的其他学术机构、合作伙伴和主要利益攸关方共享。本研究项目的成果为政策提供了投入,以减轻COVID-19对生活在环境敏感的沿海社区的社区的负面影响,以及沿海经济体在大流行后的发展弹性和公平发展。因此,这项研究的结果有助于将美国确立为环境和气候友好型发展的全球领导者。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This research project uses case studies from coastal communities in four countries---Costa Rica, Germany, Scotland (UK), and the United States---to study the environmental and economic impacts of the COVID-19 pandemic on these communities. These communities depend on coastal communities that depend on coastal tourism (Blue Economy) for their livelihoods, but the pandemic led to drastic reduction in tourism and other economic activities in these communities. The project assesses which aspects of the Blue Economy communities prefer to recover; determinants of resilient and inclusive development of coastal communities; and determinants coastal communities that depend on coastal tourism (Blue Economy) for their livelihoods of socioeconomic performance. In addition, the project involves the training of early career researchers. The research pays particular attention to the resilience of vulnerable people, and possible strategies for recovery. The results of this research project provide inputs into policies to mitigate the negative consequences of the COVID-19 pandemic on communities living in environmentally sensitive coastal communities and the development of resilient and fair post-pandemic development of coastal economies. The results of this research could therefore help to establish the U.S. as a global leader in environmental and climate friendly development.This research project uses several methods and a comparative approach to study the environmental and socioeconomic impacts of the COVID-19 pandemic, especially on coastal economies that depend on environmental tourism (Blue Economy). Specifically, the project studies the socioeconomic impacts of COVID-19 and policy response to the pandemic; short- and long-term COVID-19 recovery strategies of the Blue Economy; barriers to coastal green and inclusive recovery policies; elements of successful resilience recovery strategies; and lessons and best practices transferable across risks and locations to efficiently respond to or prevent future crises. The project employs large-scale surveys of coastal regional authorities and businesses, discrete choice experiments to value future recovery scenarios, and expert interviews. The results of this research are shared with other academic institutions, partners, and key stakeholders in each country. The results of this research project provide inputs into policies to mitigate the negative consequences of the COVID-19 on communities living in environmentally sensitive coastal communities and the development resilient and fair post-pandemic development of coastal economies. The results of this research therefore help to establish the U.S. as a global leader in environmental and climate friendly development.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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