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安徽省旅游业发展模式构建与实证分析

Development model construction and empirical analysis of tourist industry in Anhui Province
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摘要 目的进一步提高旅游业的发展力,构建旅游新模式,以加快旅游大省向旅游强省转化的步伐。方法选取2000-2018年安徽省旅游业的相关数据,以安徽省国内旅游收入为被解释变量,安徽省人均生产总值、公路里程、铁路营业里程和铁路旅游周转量为解释变量,建立计量模型实证分析影响安徽省旅游业发展的因素。结果人均生产总值和铁路营业里程对安徽省国内旅游收入有着显著影响。结论给出了安徽省提高旅游发展力以及如何构建特色模式的建议,即:因地制宜发展经济和完善基础设施,实现旅游业的可持续发展;建立全域旅游模式以此发展多元化旅游路线;通过打造“O2O旅游模式”加大宣传力度;仿造“乌镇模式”缩减南北差距。 Purposes—To further improve the development of tourism and build a new tourism model to accelerate the pace of transforming a major tourism province into a strong tourism province.Methods—With the relevant data of the tourism industry of Anhui Province from 2000 to 2018 selected,and with the domestic tourism income of Anhui Province as the explained variable,and with Anhui Province's per capita GDP,highway mileage,railway operating mileage and railway tourism turnover as explanatory variables,an econometric model is established to empirically analyze the factors affecting the development of tourism in Anhui Province.Result—The per capita GDP and the length of railway lines in service have a significant impact on the domestic tourism income of Anhui Province.Conclusion—The suggestions are given how Anhui Province improves its ability to make its tourism develop and construct the characteristic mode,that is,to develop the economy and improve the infrastructure according to local conditions to realize the sustainable development of tourism,to establish a global tourism model to develop diversified tourism routes,to increase publicity by creating the"O2O tourism model"and to reduce the gap between the north and the south by imitating"Wuzhen mode".
作者 丁怡帆 李长书 DING Yi-fan;LI Chang-shu(School of International Economics and Trade,Anhui University of Finance and Economics,Bengbu 233030,Anhui,China)
出处 《宝鸡文理学院学报(自然科学版)》 CAS 2021年第1期52-58,共7页 Journal of Baoji University of Arts and Sciences(Natural Science Edition)
基金 国家社会科学基金项目(18BJL096)。
关键词 安徽省旅游业 发展模式 计量分析 影响因素 tourist industry of Anhui Province development model quantitative analysis influencing factors
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