Granger Causality between Tourism and Income: A Meta-regression Analysis

Granger Causality between Tourism and Income: A Meta-regression Analysis

In this article, we sum up the literature on the study of Granger causality relationships between tourism and income using a meta-regression analysis. We conclude that the acceptance of the tourism-led growth hypothesis is likelier the higher the countries’ degree of tourism specialization and popul...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of travel research 2020-04, Vol.59 (4), p.642-660
Hauptverfasser: Fonseca, Nino, Sánchez Rivero, Marcelino
Format: Artikel
Sprache:eng
Schlagworte:
Causality
Hypotheses
Income
Regression analysis
Tourism
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 660
container_issue 4
container_start_page 642
container_title Journal of travel research
container_volume 59
creator Fonseca, Nino
Sánchez Rivero, Marcelino
description In this article, we sum up the literature on the study of Granger causality relationships between tourism and income using a meta-regression analysis. We conclude that the acceptance of the tourism-led growth hypothesis is likelier the higher the countries’ degree of tourism specialization and population size. However, neither these variables nor the level of economic development is relevant for the explanation of the probability of acceptance of the hypothesis of reverse Granger causality. Notwithstanding these results, we find that several features of the research design are associated with the acceptance of both hypotheses.
doi_str_mv 10.1177/0047287519851189
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2367782812</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_0047287519851189</sage_id><sourcerecordid>2367782812</sourcerecordid><originalsourceid>FETCH-LOGICAL-c440t-c24348b226f2f16d546fd6259774ae603a4778b991435c1a82e870e4bc8083fc3</originalsourceid><addsrcrecordid>eNp1kM1Lw0AUxBdRsFbvHhc8R_cr--GtFG0LFS_1HDbbl5LSbuq-FOl_b0IKBcHTO8z85g1DyCNnz5wb88KYMsKanDubc27dFRnxPBeZNlpek1EvZ71-S-4Qt4wxriQfkfks-biBRKf-iH5XtydaQvsDEOmqOaYa99THNV3E0OzhlU7oB7Q-S7BJgFg3kU6i352wxntyU_kdwsP5jsnX-9tqOs-Wn7PFdLLMglKszYJQUtlSCF2Jiut1rnS11iJ3xigPmkmvjLGlc129PHBvBVjDQJXBMiurIMfkacg9pOb7CNgW265nVwILIXXHCstF52KDK6QGMUFVHFK99-lUcFb0exV_9-oQOiAQmljjBdDOSs2Z61OzwYJ-A5e__0b-AonVcn8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2367782812</pqid></control><display><type>article</type><title>Granger Causality between Tourism and Income: A Meta-regression Analysis</title><source>Access via SAGE</source><creator>Fonseca, Nino ; Sánchez Rivero, Marcelino</creator><creatorcontrib>Fonseca, Nino ; Sánchez Rivero, Marcelino</creatorcontrib><description>In this article, we sum up the literature on the study of Granger causality relationships between tourism and income using a meta-regression analysis. We conclude that the acceptance of the tourism-led growth hypothesis is likelier the higher the countries’ degree of tourism specialization and population size. However, neither these variables nor the level of economic development is relevant for the explanation of the probability of acceptance of the hypothesis of reverse Granger causality. Notwithstanding these results, we find that several features of the research design are associated with the acceptance of both hypotheses.</description><identifier>ISSN: 0047-2875</identifier><identifier>EISSN: 1552-6763</identifier><identifier>DOI: 10.1177/0047287519851189</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Causality ; Hypotheses ; Income ; Regression analysis ; Tourism</subject><ispartof>Journal of travel research, 2020-04, Vol.59 (4), p.642-660</ispartof><rights>The Author(s) 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c440t-c24348b226f2f16d546fd6259774ae603a4778b991435c1a82e870e4bc8083fc3</citedby><cites>FETCH-LOGICAL-c440t-c24348b226f2f16d546fd6259774ae603a4778b991435c1a82e870e4bc8083fc3</cites><orcidid>0000-0003-3988-6278 ; 0000-0003-3177-0852</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/0047287519851189$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/0047287519851189$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>315,781,785,21820,27925,27926,43622,43623</link.rule.ids></links><search><creatorcontrib>Fonseca, Nino</creatorcontrib><creatorcontrib>Sánchez Rivero, Marcelino</creatorcontrib><title>Granger Causality between Tourism and Income: A Meta-regression Analysis</title><title>Journal of travel research</title><description>In this article, we sum up the literature on the study of Granger causality relationships between tourism and income using a meta-regression analysis. We conclude that the acceptance of the tourism-led growth hypothesis is likelier the higher the countries’ degree of tourism specialization and population size. However, neither these variables nor the level of economic development is relevant for the explanation of the probability of acceptance of the hypothesis of reverse Granger causality. Notwithstanding these results, we find that several features of the research design are associated with the acceptance of both hypotheses.</description><subject>Causality</subject><subject>Hypotheses</subject><subject>Income</subject><subject>Regression analysis</subject><subject>Tourism</subject><issn>0047-2875</issn><issn>1552-6763</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp1kM1Lw0AUxBdRsFbvHhc8R_cr--GtFG0LFS_1HDbbl5LSbuq-FOl_b0IKBcHTO8z85g1DyCNnz5wb88KYMsKanDubc27dFRnxPBeZNlpek1EvZ71-S-4Qt4wxriQfkfks-biBRKf-iH5XtydaQvsDEOmqOaYa99THNV3E0OzhlU7oB7Q-S7BJgFg3kU6i352wxntyU_kdwsP5jsnX-9tqOs-Wn7PFdLLMglKszYJQUtlSCF2Jiut1rnS11iJ3xigPmkmvjLGlc129PHBvBVjDQJXBMiurIMfkacg9pOb7CNgW265nVwILIXXHCstF52KDK6QGMUFVHFK99-lUcFb0exV_9-oQOiAQmljjBdDOSs2Z61OzwYJ-A5e__0b-AonVcn8</recordid><startdate>20200401</startdate><enddate>20200401</enddate><creator>Fonseca, Nino</creator><creator>Sánchez Rivero, Marcelino</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0003-3988-6278</orcidid><orcidid>https://orcid.org/0000-0003-3177-0852</orcidid></search><sort><creationdate>20200401</creationdate><title>Granger Causality between Tourism and Income: A Meta-regression Analysis</title><author>Fonseca, Nino ; Sánchez Rivero, Marcelino</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c440t-c24348b226f2f16d546fd6259774ae603a4778b991435c1a82e870e4bc8083fc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Causality</topic><topic>Hypotheses</topic><topic>Income</topic><topic>Regression analysis</topic><topic>Tourism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fonseca, Nino</creatorcontrib><creatorcontrib>Sánchez Rivero, Marcelino</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><jtitle>Journal of travel research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fonseca, Nino</au><au>Sánchez Rivero, Marcelino</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Granger Causality between Tourism and Income: A Meta-regression Analysis</atitle><jtitle>Journal of travel research</jtitle><date>2020-04-01</date><risdate>2020</risdate><volume>59</volume><issue>4</issue><spage>642</spage><epage>660</epage><pages>642-660</pages><issn>0047-2875</issn><eissn>1552-6763</eissn><abstract>In this article, we sum up the literature on the study of Granger causality relationships between tourism and income using a meta-regression analysis. We conclude that the acceptance of the tourism-led growth hypothesis is likelier the higher the countries’ degree of tourism specialization and population size. However, neither these variables nor the level of economic development is relevant for the explanation of the probability of acceptance of the hypothesis of reverse Granger causality. Notwithstanding these results, we find that several features of the research design are associated with the acceptance of both hypotheses.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><doi>10.1177/0047287519851189</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0003-3988-6278</orcidid><orcidid>https://orcid.org/0000-0003-3177-0852</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0047-2875
ispartof Journal of travel research, 2020-04, Vol.59 (4), p.642-660
issn 0047-2875
1552-6763
language eng
recordid cdi_proquest_journals_2367782812
source Access via SAGE
subjects Causality
Hypotheses
Income
Regression analysis
Tourism
title Granger Causality between Tourism and Income: A Meta-regression Analysis
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-18T14%3A46%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Granger%20Causality%20between%20Tourism%20and%20Income:%20A%20Meta-regression%20Analysis&rft.jtitle=Journal%20of%20travel%20research&rft.au=Fonseca,%20Nino&rft.date=2020-04-01&rft.volume=59&rft.issue=4&rft.spage=642&rft.epage=660&rft.pages=642-660&rft.issn=0047-2875&rft.eissn=1552-6763&rft_id=info:doi/10.1177/0047287519851189&rft_dat=%3Cproquest_cross%3E2367782812%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2367782812&rft_id=info:pmid/&rft_sage_id=10.1177_0047287519851189&rfr_iscdi=true