Covid-19 in Central America: Firm resilience and policy responses on employment

被引:5
|
作者
Olvera, Beatriz Calzada [1 ,2 ]
Gonzalez-Sauri, Mario [1 ,3 ]
Moya, David-Alexander Harings [3 ,4 ]
Louvin, Federico [3 ,5 ]
机构
[1] United Nations Univ, Maastricht Econ Social Res Inst Innovat & Technol, Maastricht, Netherlands
[2] Erasmus Univ, Inst Housing & Urban Dev, Rotterdam, Netherlands
[3] Maastricht Univ, Sch Business & Econ, Maastricht, Netherlands
[4] Nova Sch Business & Econ, Lisbon, Portugal
[5] Copenhagen Business Sch, Copenhagen, Denmark
关键词
Firm capabilities; Resilience; Innovation; Government support; SUPPLY CHAIN RESILIENCE; ORGANIZATIONAL RESILIENCE; ECONOMIC RESILIENCE; MODERATING ROLE; INNOVATIVENESS;
D O I
10.1016/j.jpolmod.2022.11.005
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper examines how government support interacts with firm-level resilience capabilities in the re-duction of layoffs among formal firms in Central America. Our analysis suggests that government support measures play a role in reducing the probability of layoffs among firms with only dynamic resilience capabilities (i.e., those that are developed after the pandemic onset). The effect of government support is not statistically different from the effect of static resilience capabilities alone (i.e., those that were present before the pandemic); thus, in firms with such capabilities, the effect of government support will be marginal. These results hold across sectors -exhibiting a marginally higher treatment effect in service sectors. Our results do not imply that Covid-19 supportive measures are to be disregarded, but instead raise the question of how government support policies could improve the allocation of support among firms in times of crises. Moreover, it underlines the necessity of policies that enhance resilience more broadly - a task that hints at structural issues and requires continuous government support in lieu of ad-hoc measures.(c) 2022 The Authors. Published by Elsevier Inc. on behalf of The Society for Policy Modeling. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页码:1280 / 1295
页数:16
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