Is there a causal relationship between oil prices and tourist arrivals?

被引：7

作者：

Hassani, Hossein ^{[1
]}

Ghodsi, Mansi ^{[1
]}

Huang, Xu ^{[2
]}

Silva, Emmanuel Sirimal ^{[3
]}

机构：

[1] Univ Tehran, Res Inst Energy Management & Planning, Tehran, Iran

[2] De Montfort Univ, Leicester, Leics, England

[3] Univ Arts London, London Coll Fash, Ctr Fash Business & Innovat Res, Fash Business Sch, London, England

来源：

JOURNAL OF APPLIED STATISTICS | 2021年 / 48卷 / 01期

关键词：

Oil price; tourist arrivals; causality; convergent cross mapping; Granger causality; LED GROWTH HYPOTHESIS; ECONOMIC-GROWTH; CO2; EMISSIONS; FINANCIAL DEVELOPMENT; EMPIRICAL-EVIDENCE; CLIMATE; DEMAND; TRADE; MODELS; IMPACT;

D O I：

10.1080/02664763.2020.1720625

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

This application note investigates the causal relationship between oil price and tourist arrivals to further explain the impact of oil price volatility on tourism-related economic activities. The analysis itself considers the time domain, frequency domain and information theory domain perspectives. Data relating to US and nine European countries are exploited in this paper with causality tests which include time domain, frequency domain, and Convergent Cross Mapping (CCM). The CCM approach is nonparametric and therefore not restricted by assumptions. We contribute to existing research through the successful and introductory application of an advanced method, and via the uncovering of significant causal links from oil prices to tourist arrivals.

引用

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页码：191 / 202

页数：12

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