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Cited by 282

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

A nexus of linear and non‐linear relationships between tourism demand, renewable energy consumption, and economic growth: Theory and evidence

Isik, Cem, Dogru, Tarik, Turk, Ercan Sirakaya·2018·International Journal of Tourism Research

Abstract

The purpose of this study is to examine the relationships between tourism development, renewable energy consumption, and economic growth in the United States, France, Spain, China, Italy, Turkey, and Germany using an innovative bootstrap panel Granger causality model. The results show that tourism development and economic growth are interdependent in Germany; whereas tourism development induces economic growth in China and Turkey, the reverse is true in Spain. Causal relationships between renewable energy and economic growth give credence to theories of renewable energy‐led growth in Spain and growth‐led renewable energy in China, Turkey, and Germany. Whereas the Italian and U.S. models demonstrate a bidirectional relationship, the Spanish, Italian, Turkish, and U.S. data show a causal link stemming from tourism development. Theoretical and policy implications are discussed within the realm of macroeconomics and sustainability.

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Crossref · 10.1002/jtr.2151

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Metadata

Authors
Isik, C., Dogru, T., & Turk, E. S.
Venue
International Journal of Tourism Research
Publisher
Wiley
Published
2017-09-04
Volume
20
Issue
1
Pages
38-49
ISSN
  • 1099-2340 (ISSN-L)
  • 1522-1970
OpenAlex
W2752052872
Cited by
282
References
46
FWCI
36.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A nexus of linear and non‐linear relationships between tourism demand, renewable energy consumption, and economic growth: Theory and evidence. https://app.cochat.ai/papers/10.1002/jtr.2151
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Isik, C., Dogru, T., & Turk, E. S. (2018). A nexus of linear and non‐linear relationships between tourism demand, renewable energy consumption, and economic growth: Theory and evidence. International Journal of Tourism Research. https://doi.org/10.1002/jtr.2151

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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.