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外部不确定因素对我国旅游企业动态影响研究 被引量:7

Research on the Dynamic Impact of External Uncertain Factors on Tourism
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摘要 近年来,多种不确定事件频发给我国旅游业带来了不可预知的冲击。文章借助时变参数向量自回归模型,结合财务数据,分析了经济政策、地缘风险、金融压力3种不确定因素对我国旅游企业的动态影响。研究发现,经济政策不确定性对景区类企业影响最大,特别是“非典”疫情带来的不确定性产生了长期显著的负向效应;地缘风险会对旅行社类企业造成明显的下行冲击,在近期趋于增强,而对景区和酒店类企业存在一定的正面影响;金融压力加剧会给景区和旅行社类企业带来较强的不良影响,金融压力缓和对两类企业发展有积极作用;高度不确定性事件爆发后,旅游企业会表现出明显的时变滞后响应,通常在1年以上。该研究结论有助于提高旅游业对不确定性因素的认识,同时也为如何应对复杂多变的外部环境提供政策启示。 In recent years,a variety of uncertain factors have occurred frequently,such as international financial crisis,geographic conflicts,Sino-US trade disputes,and COVID-19,which have brought obvious unconventional fluctuations to China’s tourism industry.By combing the uncertain events,this paper divides the uncertain factors into three categories.The first is Economic Policy Uncertainty(EPU),which refers to the uncertainty of future tourism development and unpredictable effects of tourism policy.The second is geopolitical risk(GPR),which refers to the risks related to armed conflicts or tensions between countries,which are more exogenous than economic and have a huge impact on inbound and outbound tourism.The third is financial stress(FS),which is concentrated to reflect the uncertainty of changes in the financial system to market,which is more likely to cause uncertain effects on the financial aspects of tourism companies'such as investment and cash flow.A comprehensive discussion of these three types of external uncertainties’impact mechanisms on tourism would help tourism companies to prevent and deal with risk events,and is significant for promoting the upgrade of supply-side transformation of the tourism industry.Based on the existing research,the documents provide good academic value about the impacts of uncertain factors on tourism,but only qualitatively or statically.Therefore,there is still a lack of dynamic research.To this end,We introduces a time-varying parameter vector autoregressive model(TVP-SVAR-SV),which extends the constant parameters of the classic SVAR to the stochastic volatility parameters.This model could capture the time-varying changes of variables caused by external shocks,including gradual changes or potential structural mutations,without the need to split the time series into sub-sequences,that makes it possible to study the characteristics of heteroscedasticity,clustering,asymmetry,and periodic effects of tourism variables.Therefore,based on the advantages of the TVP-SVAR-SV,we studies the impact of EPU,GPR and FS on tourism companies in different intervals or at specific points in time,which will help tourism companies better deal with challenges,seize opportunities,and maintain sustainable development.In summary,this paper exploits the financial data of tourism companies to analyze the dynamic impact of three uncertain factors,EPU,GPR,and FS on China’s tourism companies.The results show that the economic policy uncertainty has the greatest impact on the scenic enterprises,especially the uncertainty brought by the SARS epidemic,which has a long-term significant negative effect;The geographical risk will have an obvious downward impact on the travel agency enterprises,which tends to increase in the near future,but has a certain positive impact on the scenic and hotel enterprises;The aggravation of financial pressure will bring strong adverse effects to scenic spots and travel agency enterprises,while the alleviation of financial pressure has a positive effect on the development of the two types of enterprises;After the outbreak of highly uncertain events,tourism enterprises will show obvious time-varying lag response,usually more than one year.The conclusion of this study is helpful to improve the understanding of the uncertain factors in the tourism industry,and also provides policy implications for how to deal with the complex and changeable external environment.
作者 王琪延 高旺 WANG Qiyan;GAO Wang(School of Statistics,Renmin University of China,Beijing 100872,China)
出处 《旅游学刊》 CSSCI 北大核心 2020年第12期24-37,共14页 Tourism Tribune
基金 国家社会科学基金重点项目“促进中国休闲产业转型升级研究”(17ATJ003) 中国人民大学科学研究基金(中央高校基本科研业务费专项资金资助)“2020年小康社会建成后休假制度改革研究”(XNL009)共同资助。
关键词 旅游 经济政策不确定性 地缘风险 金融压力 时变参数向量自回归模型 tourism economic policy uncertainty geopolitical risk financial stress TVP-SVAR-SV
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