投入产出灾难分析的最小干扰方法

IF 1.5 3区 经济学 Q2 ECONOMICS
Mengyu Li, M. Lenzen, L. Pedauga, Arunima Malik
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引用次数: 1

摘要

在过去的几十年里,由于自然现象和气候相关事件的加剧,灾害的频率一直在增加。决策者需要强有力的方法来评估灾害对供应链的影响。基于投入产出的灾害方法能够评估这种影响;然而,它们依赖于一些假设,例如工业的固定生产配方假设或负最终需求的可能性。本研究提出了一种改进的灾害分析方法,称为最小干扰,以便更现实地评估灾害对必要和非必要部门的影响。特别是,我们提出了一种优先加权方法,将决策者的优先事项纳入经济转型到灾后平衡。我们通过模拟委内瑞拉经济危机期间的实际情况,展示了这种新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A minimum-disruption approach to input–output disaster analysis
ABSTRACT The frequency of disasters has been increasing over the past decades, fuelled by natural phenomena and climate-related events. Policymakers require robust methodologies to assess supply-chain impacts of disasters. Input–output-based disaster approaches are able to assess such impacts; however, they rely on some assumptions, such as the fixed production-recipe assumption for industries or the possibility of negative final demand. This study presents an improved disaster analysis approach, called minimum disruption, in order to assess more realistically the impacts of a disaster on essential and non-essential sectors. In particular, we propose a priority-weighted approach for incorporating decision-makers’ priorities for transitioning economies to post-disaster equilibrium. We showcase the new approach by modelling the actual occurrences during Venezuela’s economic crises.
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来源期刊
CiteScore
5.40
自引率
21.70%
发文量
33
期刊介绍: Spatial Economic Analysis is a pioneering economics journal dedicated to the development of theory and methods in spatial economics, published by two of the world"s leading learned societies in the analysis of spatial economics, the Regional Studies Association and the British and Irish Section of the Regional Science Association International. A spatial perspective has become increasingly relevant to our understanding of economic phenomena, both on the global scale and at the scale of cities and regions. The growth in international trade, the opening up of emerging markets, the restructuring of the world economy along regional lines, and overall strategic and political significance of globalization, have re-emphasised the importance of geographical analysis.
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