The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
International tourism, energy consumption, and environmental pollution: The case of Turkey
Open accessAbstract
This study investigates the long-run equilibrium relationship between tourism, energy consumption, and environmental degradation as proxied by carbon dioxide (CO2) emissions in Turkey, which attracts more than 30 million tourists per year, making it the sixth most visited country in the world. The study results reveal that tourism and energy consumption are in a long-term equilibrium relationship with CO2 emissions; in the tourism-induced model, CO2 emissions converge to the long-term equilibrium path by a 91.01 percent speed of adjustment every year through the channels of tourism, energy consumption, and aggregate income. Further, the results of the impulse response and variance decompositions reveal that the reaction of energy consumption, and therefore CO2 emissions, to changes in tourism development is positive and gains strength in the longer periods. This implies that tourism development in Turkey has resulted not only in considerable increases in energy use but also considerable increases in climate change, as demonstrated by the econometric analysis of this study.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Bounds testing approaches to the analysis of level relationships
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001) · Journal of Applied Econometrics · doi:10.1002/jae.616 · Cited by 20,385
Environmental Impacts of a North American Free Trade Agreement
Grossman, G., & Krueger, A. (1991) · National Bureau of Economic Research · doi:10.3386/w3914 · Cited by 7,595
Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis
Zivot, E., & Andrews, D. W. K. (2002) · Journal of Business & Economic Statistics · doi:10.1198/073500102753410372 · Cited by 5,737
Environmental Kuznets curve hypothesis: a survey
Dinda, S. (2004) · Ecological Economics · doi:10.1016/j.ecolecon.2004.02.011 · Cited by 4,106
The rise and fall of the Environmental Kuznets Curve
Stern, D. I. (2004) · World Development · doi:10.1016/j.worlddev.2004.03.004 · Cited by 4,013
An Autoregressive Distributed-Lag Modelling Approach to Cointegration Analysis
Pesaran, M. H., & Shin, Y. (2012) · Econometrics and Economic Theory in the 20th Century · doi:10.1017/ccol521633230.011 · Cited by 3,937
The saving and investment nexus for China: evidence from cointegration tests
Narayan, P. K. (2005) · Applied Economics · doi:10.1080/00036840500278103 · Cited by 3,499
Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis
Zivot, E., & Andrews, D. W. K. (1992) · Journal of Business & Economic Statistics · doi:10.1080/07350015.1992.10509904 · Cited by 3,250
ON THE RELATIONSHIP BETWEEN ENERGY AND GNP
Kraft, I., & Kraft, A. (1978) · Cited by 2,183
Energy consumption, carbon emissions, and economic growth in China
Zhang, X.-P., & Cheng, X.-M. (2009) · Ecological Economics · doi:10.1016/j.ecolecon.2009.05.011 · Cited by 1,508
Cited by
Paramati, S. R., Alam, M. S., & Chen, C.-F. (2017) · Journal of Travel Research · doi:10.1177/0047287516667848 · Cited by 478
Nepal, R., Indra al Irsyad, M., & Nepal, S. K. (2019) · Tourism Management · doi:10.1016/j.tourman.2018.08.025 · Cited by 294
Isik, C., Dogru, T., & Turk, E. S. (2018) · International Journal of Tourism Research · doi:10.1002/jtr.2151 · Cited by 282
Doğan, B., Saboori, B., & Can, M. (2019) · Environmental Science and Pollution Research · doi:10.1007/s11356-019-06333-1 · Cited by 268
Metadata
- Authors
- Katircioglu, S. T.
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2014-08
- Volume
- 36
- Pages
- 180-187
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W2057233992
- Cited by
- 405
- References
- 45
- FWCI
- 34.42
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: International tourism, energy consumption, and environmental pollution: The case of Turkey. https://app.cochat.ai/papers/10.1016/j.rser.2014.04.058
- The paper
- Katircioglu, S. T. (2014). International tourism, energy consumption, and environmental pollution: The case of Turkey. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2014.04.058
Data sources
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.