各国应对大规模危机的准备:分析、衡量和世界分类。

IF 3.8 3区管理学 Q1 PUBLIC ADMINISTRATION Policy Sciences Pub Date : 2022-01-01 Epub Date: 2022-07-26 DOI:10.1007/s11077-022-09464-4

E Ezzahid, Z Firano, J Ennouhi, A Laaroussi, A Serghini Anbari

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摘要

一个国家应对危机的准备是一种多方面的能力，取决于若干属性(经济因素、治理特征、基础设施和制度禀赋)。本文提出了一种根据各国应对大规模危机的准备程度对其进行排名的新方法。通过衡量各国的特征，可以编制应对冲击的准备指数，从而预测各国应对COVID-19卫生危机的表现，以验证拟议的综合指数的相关性。幸运的是，根据我们的综合指数，准备程度较高的国家似乎能够对这场危机作出充分和有效的反应。这反映在较低的死亡率和更多的测试中。

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Countries' readiness to deal with large-scale crises: analysis, measure, and World classification.

A country's preparedness to face crises is a multidimensional competence that depends on several attributes (economic factors, governance features, infrastructure and institutional endowments). This paper proposes a new approach to rank countries based on their degree of preparedness to deal with large-scale crises. The measured characteristics of countries have made it possible to compile an index of preparedness to face shocks and, therefore, predict their performance against the COVID-19 health crisis to verify the relevance of the proposed composite index. Fortunately, it appears that countries with a high degree of preparedness according to our aggregate index were able to respond adequately and effectively to this crisis. This is reflected in a lower mortality rate and more administered tests.

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来源期刊

Policy Sciences Multiple-

CiteScore

9.70

自引率

9.40%

发文量

期刊介绍： The policy sciences are distinctive within the policy movement in that they embrace the scholarly traditions innovated and elaborated by Harold D. Lasswell and Myres S. McDougal. Within these pages we provide space for approaches that are problem-oriented, contextual, and multi-method in orientation. There are many other journals in which authors can take top-down, deductive, and large-sample approach or adopt a primarily theoretical focus. Policy Sciences encourages systematic and empirical investigations in which problems are clearly identified from a practical and theoretical perspective, are well situated in the extant literature, and are investigated utilizing methodologies compatible with contextual, as opposed to reductionist, understandings. We tend not to publish pieces that are solely theoretical, but favor works in which the applied policy lessons are clearly articulated. Policy Sciences favors, but does not publish exclusively, works that either explicitly or implicitly utilize the policy sciences framework. The policy sciences can be applied to articles with greater or lesser intensity to accommodate the focus of an author’s work. At the minimum, this means taking a problem oriented, multi-method or contextual approach. At the fullest expression, it may mean leveraging central theory or explicitly applying aspects of the framework, which is comprised of three principal dimensions: (1) social process, which is mapped in terms of participants, perspectives, situations, base values, strategies, outcomes and effects, with values (power, wealth, enlightenment, skill, rectitude, respect, well-being, and affection) being the key elements in understanding participants’ behaviors and interactions; (2) decision process, which is mapped in terms of seven functions—intelligence, promotion, prescription, invocation, application, termination, and appraisal; and (3) problem orientation, which comprises the intellectual tasks of clarifying goals, describing trends, analyzing conditions, projecting developments, and inventing, evaluating, and selecting alternatives. There is a more extensive core literature that also applies and can be visited at the policy sciences website: http://www.policysciences.org/classicworks.cfm. In addition to articles that explicitly utilize the policy sciences framework, Policy Sciences has a long tradition of publishing papers that draw on various aspects of that framework and its central theory as well as high quality conceptual pieces that address key challenges, opportunities, or approaches in ways congruent with the perspective that this journal strives to maintain and extend.Officially cited as: Policy Sci