Analyzing the Tourism-Energy Nexus for the Top 10 Most-Visited Countries

dc.contributor.author Isik, Cem
dc.contributor.author Dogan, Eyup
dc.contributor.author Ongan, Serdar
dc.contributor.author Dogan, Eyüp
dc.date.accessioned 2025-09-25T10:41:00Z
dc.date.available 2025-09-25T10:41:00Z
dc.date.issued 2017-10-30
dc.description Isik, Cem/0000-0001-5125-7648; en_US
dc.description.abstract By using the Emirmahmutoglu-Kose bootstrap Granger non-causality method, this study explores the directions of causality among tourist arrivals, tourism receipts, energy consumption and economic growth for the top 10 most-visited countries (France, the USA, Spain, China, Italy, Turkey, Germany, the United Kingdom, Russia, and Mexico) in the world. This study finds a variety of causal directions between the pair of analyzed variables for each country and the panel. Since cross-sectional dependence exists across the top countries for the analyzed variables, the bootstrap Granger causality test that accounts for the mentioned issue in the estimation process presumably produces reliable and accurate outputs. Further results and policy implications are discussed in this empirical study. en_US
dc.identifier.doi 10.3390/economies5040040
dc.identifier.issn 2227-7099
dc.identifier.scopus 2-s2.0-85062769562
dc.identifier.uri https://doi.org/10.3390/economies5040040
dc.identifier.uri https://hdl.handle.net/20.500.12573/3303
dc.language.iso en en_US
dc.publisher MDPI en_US
dc.relation.ispartof Economies en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Granger Causality en_US
dc.subject Tourist Arrivals en_US
dc.subject Tourism Receipts en_US
dc.subject Energy Consumption en_US
dc.subject Economic Growth en_US
dc.subject The Top 10 Most-Visited Countries en_US
dc.title Analyzing the Tourism-Energy Nexus for the Top 10 Most-Visited Countries en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Isik, Cem/0000-0001-5125-7648
gdc.author.scopusid 35317648700
gdc.author.scopusid 56088161200
gdc.author.scopusid 11440427500
gdc.author.wosid Ongan, Serdar/Npi-9201-2025
gdc.author.wosid Işık, Cem/Abd-2292-2020
gdc.author.wosid Isik, Cem/Abd-2292-2020
gdc.author.wosid Dogan, Eyup/J-8676-2019
gdc.bip.impulseclass C4
gdc.bip.influenceclass C4
gdc.bip.popularityclass C3
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department Abdullah Gül University en_US
gdc.description.departmenttemp [Isik, Cem] Ataturk Univ, Dept Tourism Management, TR-25240 Erzurum, Turkey; [Dogan, Eyup] Abdullah Gul Univ, Dept Econ, TR-38080 Kayseri, Turkey; [Ongan, Serdar] St Marys Coll Maryland, Dept Econ, St Marys City, MD 20686 USA en_US
gdc.description.issue 4 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 40
gdc.description.volume 5 en_US
gdc.description.woscitationindex Emerging Sources Citation Index
gdc.description.wosquality Q2
gdc.identifier.openalex W2765547163
gdc.identifier.wos WOS:000416745300005
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gdc.index.type Scopus
gdc.oaire.accesstype GOLD
gdc.oaire.diamondjournal false
gdc.oaire.downloads 7
gdc.oaire.impulse 15.0
gdc.oaire.influence 4.54473E-9
gdc.oaire.isgreen true
gdc.oaire.keywords O11
gdc.oaire.keywords ddc:330
gdc.oaire.keywords tourist arrivals
gdc.oaire.keywords O40
gdc.oaire.keywords tourism receipts
gdc.oaire.keywords Granger causality; tourist arrivals; tourism receipts; energy consumption; economic growth; the top 10 most-visited countries
gdc.oaire.keywords the top 10 most-visited countries
gdc.oaire.keywords O13
gdc.oaire.keywords economic growth
gdc.oaire.keywords C1
gdc.oaire.keywords Economics as a science
gdc.oaire.keywords energy consumption
gdc.oaire.keywords N7
gdc.oaire.keywords Granger causality
gdc.oaire.keywords HB71-74
gdc.oaire.popularity 3.6752585E-8
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gdc.oaire.sciencefields 05 social sciences
gdc.oaire.sciencefields 0502 economics and business
gdc.oaire.views 121
gdc.openalex.collaboration International
gdc.openalex.fwci 24.81
gdc.openalex.normalizedpercentile 0.99
gdc.openalex.toppercent TOP 1%
gdc.opencitations.count 57
gdc.plumx.crossrefcites 59
gdc.plumx.mendeley 41
gdc.plumx.scopuscites 67
gdc.scopus.citedcount 67
gdc.wos.citedcount 58
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