基于向量自回归模型的旅游业相关因素分析——以贵州省为例
Analysis of Tourism Industry Related Factors Based on Vector Autoregressive Model—Taking Guizhou Province as an Example
赵秀兰1
作者信息
摘要
随着在第三产业的占比越来越大,旅游业逐渐成为城市发展的支柱产业,分析贵州省旅游业影响因素有利于促进旅游业持续发展和经济的增长.通过构建向量自回归模型,分析了贵州省旅游业与地区生产总值和园林陆地面积之间的关系.通过收集2000-2021年相关指标数据,运用平稳性检验、单位根检验、脉冲响应分析等进行检验,研究发现:贵州省旅游业与上述指标相互影响.
Abstract
With the increasing proportion of tourism in the tertiary industry,tourism has gradually become a pillar industry of urban development.This article analyzes the influencing factors of tourism in Guizhou Province,which are conducive to promoting the sustainable development of tourism and economic growth.It analyzes the relation-ship between the tourism industry,regional gross domestic product,and landscape land area in Guizhou Province by constructing a Vector Autore-Gressive(VAR)model.By collecting relevant indicator data from 2000 to 2021 and using tests such as Stationarity Test,Unit Root Test,and Impulse Response Analysis,the study found that the tourism industry in Guizhou Province interacts with the above indicators.
关键词
旅游业/贵州省/向量自回归模型/时间序列Key words
Tourism/Guigzhou Province/VAR Model/Time series引用本文复制引用
出版年
2024
NETL
NSTL
万方数据