基于VAR模型的国内教育投入对旅游消费的影响研究
Research on the Influence of Domestic Education Input on Tourism Consumption Based on VAR Model
DOI: 10.12677/orf.2024.142201, PDF,   
作者: 尤梦娜:上海工程技术大学管理学院,上海
关键词: 教育投入旅游消费VAR模型Education Input Tourism Consumption VAR Model
摘要: 教育经费的大量投入为人才培养提供了有力保障,人才队伍的建设是推动旅游高质量发展的关键。为了探究国内教育投入对旅游消费影响,本文基于1999年到2022年的时间序列数据构建向量自回归VAR模型,研究两者之间的动态关系。本文研究结论如下:1) 无论是从长期还是短期来看,教育经费投入都会对国内旅游消费起到正向影响作用;2) 教育经费投入对国内旅游消费的影响程度在长期发展中趋于稳定在20%左右,这说明约有20%的国内旅游消费变动可以由教育经费投入解释;3) 教育经费投入的增加会对国内旅游消费的增加产生较大程度的正向影响作用。最后基于研究结论为旅游发展与教育建设提供政策建议。
Abstract: A large amount of investment in education funds provides a strong guarantee for talent training, and the construction of talent team is the key to promote the high-quality development of tourism. In order to explore the impact of domestic education input on tourism consumption, this paper constructs a vector autoregressive VAR model based on the original time series data from 1999 to 2022 to study the dynamic relationship between the two. The conclusions of this paper are as follows: First, whether in the long or short term, the investment of education funds has a positive effect on domestic tourism consumption; second, the degree of influence of education expenditure on domestic tourism consumption tends to be stable at about 20% in the long run, which indicates that about 20% of the change of domestic tourism consumption can be explained by education expenditure; third, the increase of education funds will have a positive impact on the increase of domestic tourism consumption to a greater extent. Finally, based on the research conclusions, it provides policy suggestions for tourism development and education construction.
文章引用:尤梦娜. 基于VAR模型的国内教育投入对旅游消费的影响研究[J]. 运筹与模糊学, 2024, 14(2): 1017-1025. https://doi.org/10.12677/orf.2024.142201

参考文献

[1] Schultz, T.W. (1961) Investment in Human Capital. The American Economic Review, 51, 1-17.
[2] 郭艳俊, 杨林娟, 柴洪, 陈钰. 基于因子分析法的河西走廊五市旅游竞争力分析[J]. 中国沙漠, 2021, 41(5): 238-241.
[3] 姜国华. 中国家庭旅游消费影响因素研究[J]. 广西社会科学, 2017(5): 75-79.
[4] 贺渊迪. 基于多元线性回归模型的陕西省旅游消费影响因素分析[J]. 山东财经大学学报, 2018(5): 60-65.
[5] 顾江, 刘柏阳. 人力资本积累、家庭人口结构与文化消费升级[J]. 江海学刊, 2022(3): 75-81.
[6] 谭永生. 人力资本理论述评及对我们的启示[J]. 首都经济贸易大学学报, 2006, 8(3): 29-32.
[7] 汪群龙. 中国城镇家庭旅游消费的特征及影响因素——基于中国家庭追踪调查(CFPS)数据的实证分析[J]. 浙江树人大学学报(人文社会科学), 2020, 20(5): 42-49.
[8] Lillo-Banuls, A. and Casado-Diaz, J.M. (2015) Exploring the Relationship between Educational Mismatch, Earnings and Job Satisfaction in the Tourism Industry. Current Issues in Tourism, 18, 361-375. [Google Scholar] [CrossRef
[9] Xie, H.Q., Yang, M.M. and Li, F. (2018) An Empirical Study on the Correlation between Educational Input and Upgrading of Industrial Structure under the Background of Beijing-Tianjin-Hebei Coordinated Development. Educational Sciences: Theory & Practice, 18, 2519-2526.
[10] Chae, S. and Chung, K. (2015) The Effect of Human Resource Investment in Internal Accounting Control on Cost Stickiness. The Journal of Applied Business Research, 31, 1719-1732. [Google Scholar] [CrossRef
[11] Romer, P.M. (1990) Endogenous Technological Change. Journal of Political Economy, 98, S71-S102. [Google Scholar] [CrossRef
[12] Acemoglu, D. (2003) Patterns of Skill Premia. The Review of Economic Studies, 70, 199-230. [Google Scholar] [CrossRef
[13] Ciccone, A. and Papaioannou, E. (2009) Human Capital, the Structure of Production, and Growth. The Review of Economics and Statistics, 91, 66-82. [Google Scholar] [CrossRef
[14] Qamruzzaman, M. (2023) Clean Energy-Led Tourism Development in Malaysia: Do Environmental Degradation, FDI, Education and ICT Matter? Heliyon, 9, e21779-e21779. [Google Scholar] [CrossRef] [PubMed]
[15] Dardis, R., Derrick, F., Lehfeld, A. and Wolfe, K.E. (1981) Cross-Section Studies of Recreation Expenditures in the United States. Journal of Leisure Research, 13, 181-194. [Google Scholar] [CrossRef
[16] Nicolau, J.L. and Más, F.J. (2005) Stochastic Modeling: A Three-Stage Tourist Choice Process. Annals of Tourism Research, 32, 49-69. [Google Scholar] [CrossRef
[17] Yan, M. and An, Z. (2021) The Impacts of High-Frequency US Uncertainty Shocks on China’s Investment and Bank Loans: Evidence from Mixed-Frequency VAR. Applied Economics Letters, 13, 181-194. [Google Scholar] [CrossRef