Panel Granger causality analysis of relationships between tourism and economic growth in the top eight tourist destinations

IF 0.3 Q4 ECONOMICS
Özgür Bayram Soylu
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引用次数: 4

Abstract

The tourism has economic, social and political effects and contributes to the economic development of many countries. Interaction levels of national economies increase with tourism through globalization. This study aims to test the causality relationship between the components of the tourism and economic growth. The causality relationship between the components of the tourism and economic growth by using panel causality analysis method. The findings indicate a bi-directional causality relationship between growth and tourism expenditures and tourism revenues. Tourism expenditures, tourism receipts and number of international arrivals are parameters of the tourism. Real gross domestic product ratio is used as a growth indicator. The top eight tourist destinations are analyzed; Spain, Italy, Russia, Turkey, France, China, USA, UK. In this context; A panel dataset was created for the top eight tourism countries over the period 1995–2017. The arrivals of tourists, expenditure levels of tourists and tourism receipts are important indicators for the national economies. The positive effects of these indicators on the balance of payments, being a source of foreign exchange, employment creation, triggering investment in infrastructure and superstructure and creating a revitalizing effect in other sectors, have an important place in the region and country economy with their socio-cultural reflections.
面板格兰杰因果分析旅游业与经济增长的八大旅游目的地之间的关系
旅游业具有经济、社会和政治效应,对许多国家的经济发展作出了贡献。通过全球化,国民经济与旅游业的相互作用水平不断提高。本研究旨在检验旅游业各组成部分与经济增长之间的因果关系。运用面板因果分析方法,对旅游业各组成部分与经济增长之间的因果关系进行了分析。研究结果表明,增长与旅游支出和旅游收入之间存在双向因果关系。旅游消费、旅游收入和国际入境人数是旅游的参数。实际国内生产总值比率被用作增长指标。对排名前八的旅游目的地进行了分析;西班牙、意大利、俄罗斯、土耳其、法国、中国、美国、英国。在这方面;我们为1995年至2017年期间排名前8位的旅游国家创建了一个面板数据集。游客入境人数、游客消费水平和旅游收入是衡量国民经济的重要指标。这些指标对国际收支的积极影响,作为外汇来源,创造就业机会,引发基础设施和上层建筑投资,并在其他部门产生振兴作用,在地区和国家经济中具有重要地位,其社会文化反映。
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来源期刊
Ekonomski Pregled
Ekonomski Pregled ECONOMICS-
CiteScore
0.70
自引率
0.00%
发文量
18
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