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Cited by 257

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Tourism, trade and growth: the case of Cyprus

Open access
Katircioglu, Salih·2009·Applied Economics

Abstract

Although the relationship between international trade and economic growth has found a wide application area in the literature over the years, this can not be said about tourism and growth or trade and tourism. This study employs the bounds test for cointegration and Granger causality tests to investigate a long-run equilibrium relationship between tourism, trade and real income growth, and the direction of causality among themselves for Cyprus. Results reveal that tourism, trade and real income growth are cointegrated; thus, a long-run equilibrium relationship can be inferred between these three variables. On the other hand, Granger causality test results suggest that real income growth stimulates growth in international trade (both exports and imports) and international tourist arrivals to the island. Furthermore, growth in international trade (both exports and imports) also stimulates an increase in international tourist arrivals to Cyprus. And finally, real import growth stimulate growth in real exports in the case of Cyprus.

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Metadata

Authors
Katircioglu, S.
Venue
Applied Economics
Published
2009-09
Volume
41
Issue
21
Pages
2741-2750
ISSN
  • 0003-6846 (ISSN-L)
  • 1466-4283
OpenAlex
W2136004248
Cited by
257
References
31
FWCI
29.04
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Tourism, trade and growth: the case of Cyprus. https://app.cochat.ai/papers/10.1080/00036840701335512
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Katircioglu, S. (2009). Tourism, trade and growth: the case of Cyprus. Applied Economics. https://doi.org/10.1080/00036840701335512

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.