评估城市气候适应能力的本地成本:金融区和海港气候适应能力总体规划分析

IF 2.3 3区 经济学 Q2 ECONOMICS
Caroline Welter, Daniel Centuriao
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引用次数: 0

摘要

世界各地的城市在适应恶劣天气事件的破坏性影响方面面临越来越大的挑战,包括洪水、飓风和气温上升。纽约市在2012年遭受飓风桑迪的严重影响后,制定了《金融区和海港气候韧性总体规划》(FiDi),作为加强曼哈顿下城气候韧性努力的一部分。本研究评估了实施该计划对当地经济、环境和财政的影响,该计划在10至15年内投资50至70亿美元。利用多区域投入产出(MRIO)建模方法,我们捕捉了曼哈顿下城与纽约市其他行政区之间的经济互动,以及整个纽约州的溢出效应。我们通过整合s曲线框架来模拟一段时间内的财务支出模式,解决了围绕计划执行的重大不确定性。这个框架允许进行周期性的成本效益分析。我们的研究结果表明,尽管在具体的实施阶段会产生集中的环境影响,但FiDi计划可能会产生显著的净经济效益。税收效应揭示了联邦、州和地方政府之间加强协调以支持城市韧性举措的机会。本研究通过展示将MRIO模型与s曲线框架相结合来解决财务不确定性并在大型基础设施项目实施前对其进行评估的效用,为文献做出了贡献。它还提供了一个可复制的框架,用于预先模拟全球城市气候适应能力项目的经济和环境权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing the local cost of urban climate resilience: An analysis of the Financial District and Seaport Climate Resilience (FiDi) Master Plan
Cities worldwide face increasing challenges in adapting to the devastating effects of severe weather events, including flooding, hurricanes, and rising temperatures. New York City, severely impacted by Hurricane Sandy in 2012, has developed the Financial District and Seaport Climate Resilience Master Plan (FiDi) as part of its effort to enhance climate resilience in Lower Manhattan. This study evaluates the local economic, environmental, and fiscal impacts of implementing this plan, which represents a US$5 to US$7 billion investment over 10 to 15 years. Using a multi-regional input–output (MRIO) modeling approach, we capture the economic interactions between Lower Manhattan and other New York City boroughs, as well as spillover effects across New York State. We address the substantial uncertainties surrounding the plan’s execution by integrating the S-curve framework to simulate financial disbursement patterns over time. This framework allows for periodic cost–benefit analysis. Our results indicate that the FiDi plan might generate significant net economic benefits, though concentrated environmental impacts occur during specific implementation phases. Tax revenue effects reveal opportunities for enhanced coordination among federal, state, and local governments to support urban resilience initiatives. This research contributes to the literature by demonstrating the utility of combining MRIO modeling with the S-curve framework to address financial uncertainties and assess large-scale infrastructure projects before their implementation. It also offers a replicable framework for ex-ante simulation of the economic and environmental trade-offs of climate resilience projects in cities globally.
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来源期刊
CiteScore
4.40
自引率
4.80%
发文量
58
期刊介绍: Regional Science is the official journal of the Regional Science Association International. It encourages high quality scholarship on a broad range of topics in the field of regional science. These topics include, but are not limited to, behavioral modeling of location, transportation, and migration decisions, land use and urban development, interindustry analysis, environmental and ecological analysis, resource management, urban and regional policy analysis, geographical information systems, and spatial statistics. The journal publishes papers that make a new contribution to the theory, methods and models related to urban and regional (or spatial) matters.
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