Tourism development and U.S energy security risks: a KRLS machine learning approach-Reference-Cited by-同舟云学术

Tourism development and U.S energy security risks: a KRLS machine learning approach

Published:2023-08-09 Issue:1 Volume:27 Page:37-44
ISSN:1368-3500
Container-title:Current Issues in Tourism
language:en
Short-container-title:Current Issues in Tourism

Author:

Balcilar Mehmet¹²³,Usman Ojonugwa⁴,Özkan Oktay⁵

Affiliation:

1. Department of Economics and Business Analytics, University of New Haven, West Haven, CT, USA

2. Department of Economics, Eastern Mediterranean University, North Cyprus, Turkey

3. Department of Economics, OSTIM Technical University, Ankara, Turkey

4. Department of Economics, Istanbul Ticaret University, Istanbul, Turkey

5. Department of Business Administration, Tokat Gaziosmanpasa University, Tokat, Turkey

Publisher

Informa UK Limited

Subject

Tourism, Leisure and Hospitality Management,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/13683500.2023.2245109

Reference11 articles.

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2. Energy Information Administration. (2022). U.S energy facts explained monthly review April U.S. energy facts – Imports and exports – U.S. energy information administration (EIA). Retrieved October 7 2023 from https://www.eia.gov/energyexplained/us-energy-facts/imports-and-exports.php.

3. Effects of economic policy uncertainty on energy demand: evidence from 72 countries

4. The role of international tourism on energy consumption: empirical evidence from Turkey

5. Kernel Regularized Least Squares: Reducing Misspecification Bias with a Flexible and Interpretable Machine Learning Approach

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