COVID-19 and the restaurant industry in Jalisco, MexicoCOVID-19 y la industria restaurantera en Jalisco, México COVID-19 e a indústria de restaurantes em Jalisco, México

Luis Raúl Rodríguez-Reyes, Mireya Pasillas
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Abstract

Purpose This paper aims to study the effect of the COVID-19 economic slowdown on the restaurant industry in Jalisco, Mexico, identifying business-specific variables that improve/worsen restaurants’ odds of permanent closure. Design/methodology/approach The data of a randomized survey on 438 restaurants conducted in October 2020 in Jalisco, Mexico, are analyzed using a binary logistic regression model in which the dependent variable depicts the perception of the restaurant owner regarding the possibility of closing the business for good because of COVID-19. Findings Layoffs and large year-on-year drops in sales increased the odds of permanent closure by 12.7 and 5.5 times, respectively. At the same time, being a small business had a protective effect against closure. For instance, a restaurant with 6 to 10 employees and 11 to 20 seats, respectively, had 87.9% and 45.1% lower odds of permanent closure than a different-sized restaurant. There is also an element of legacy in restaurant resilience. Every year the business has been open, it has 2.5% lower odds of permanent closure. Practical implications These results call for government financial support to the restaurant industry in extreme financial distress and help to understand the business-specific characteristics of resilient restaurants when liquidity vanishes, such as in the COVID-19 economic crisis. Originality/value This study fills a gap in the literature regarding the effect of COVID-19 on the restaurant industry in Mexico, which is scarcely studied. Moreover, it analyzes data collected in the recovery period after the first wave of COVID-19, providing a unique scenario to study critical variables for the resilience of restaurants.
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2019冠状病毒病与墨西哥哈利斯科州的餐饮业2019冠状病毒病与哈利斯科州的餐饮业
本文旨在研究COVID-19经济放缓对墨西哥哈利斯科州餐饮业的影响,确定提高/恶化餐馆永久关闭几率的特定业务变量。设计/方法/方法采用二元逻辑回归模型对2020年10月在墨西哥哈利斯科州对438家餐馆进行的随机调查数据进行了分析,其中因变量描述了餐馆老板对因COVID-19而永久关闭业务的可能性的看法。裁员和销售额同比大幅下降使永久关闭的可能性分别增加了12.7倍和5.5倍。与此同时,作为一家小企业,对倒闭有保护作用。例如,一家拥有6至10名员工和11至20个座位的餐厅,永久关闭的几率分别比其他规模的餐厅低87.9%和45.1%。餐馆的恢复力也有遗产的因素。每年营业一年,永久关闭的几率会降低2.5%。这些研究结果呼吁政府为陷入极度财务困境的餐饮业提供财政支持,并有助于了解流动性消失时(例如在2019冠状病毒病经济危机期间)弹性餐厅的业务特定特征。独创性/价值本研究填补了关于COVID-19对墨西哥餐饮业影响的文献空白,这方面的研究很少。此外,它还分析了在第一波COVID-19之后的恢复期收集的数据,为研究餐馆恢复力的关键变量提供了独特的场景。
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来源期刊
CiteScore
5.10
自引率
14.30%
发文量
18
期刊介绍: Management Research welcomes papers, including cross-disciplinary work, on the following areas (but is not limited to): • Human Resource Management • Strategic Management • Organizational Behaviour • Organization Theory • Corporate Governance • Managerial Economics • Cross Cultural Management.
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