Hu Haisheng, Yang Yang, Zhang Jin
School of Tourism & Urban Management, Jiangxi University of Finance and Economics, China.
Department of Tourism & Hospitality Management, Temple University, USA.
Tour Manag. 2021 Oct;86:104316. doi: 10.1016/j.tourman.2021.104316. Epub 2021 Mar 14.
The COVID-19 pandemic has brought devastating impacts of an unprecedented scale to tourism-related businesses due to governments instituting mobility restrictions and business closures worldwide. In this research, we present the results of a survey involving 1212 tourism-related businesses in Jiangxi province, China, in late February 2020. The survey covered various topics, including (1) self-evaluated effects of COVID-19, (2) business responses, (3) social responsibility behavior, and (4) anticipated government policies. Findings from mixed-effects (ordered) logit models revealed that small-sized businesses appear particularly vulnerable to the pandemic. Social responsibility behavior is determined by business size, local pandemic circumstances, and local tourism dependence. Different businesses favor distinct government aid policies. Based on estimation results from our econometric models, we plotted a policy positioning matrix to identify appropriate policy measures for diverse businesses.
由于全球各国政府实施出行限制和企业关闭措施,新冠疫情给旅游相关企业带来了前所未有的巨大冲击。在本研究中,我们展示了2020年2月下旬对中国江西省1212家旅游相关企业进行调查的结果。该调查涵盖了多个主题,包括(1)新冠疫情的自我评估影响,(2)企业应对措施,(3)社会责任行为,以及(4)预期的政府政策。混合效应(有序)逻辑模型的结果显示,小型企业似乎尤其容易受到疫情影响。社会责任行为由企业规模、当地疫情情况和当地旅游业依赖程度决定。不同企业青睐不同的政府援助政策。基于我们计量经济模型的估计结果,我们绘制了一个政策定位矩阵,以确定针对不同企业的适当政策措施。