IDEAS home Printed from https://ideas.repec.org/a/eee/anture/v57y2016icp264-267.html
   My bibliography  Save this article

Effect of sharing economy on tourism industry employment

Author

Listed:
  • Fang, Bin
  • Ye, Qiang
  • Law, Rob

Abstract

•We investigated the impact of a new economic phenomenon called sharing economy.•We explored the effect of sharing economy penetration at a macro-economic level.•We collected 657 Airbnb houses and industry data of 44 counties in Idaho State.•We revealed both positive and negative effect of Airbnb on tourism employment.

Suggested Citation

  • Fang, Bin & Ye, Qiang & Law, Rob, 2016. "Effect of sharing economy on tourism industry employment," Annals of Tourism Research, Elsevier, vol. 57(C), pages 264-267.
    • Handle: RePEc:eee:anture:v:57:y:2016:i:c:p:264-267
    DOI: 10.1016/j.annals.2015.11.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160738315300050
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.annals.2015.11.018?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Baltagi, Badi H. & Bresson, Georges & Pirotte, Alain, 2006. "Joint LM test for homoskedasticity in a one-way error component model," Journal of Econometrics, Elsevier, vol. 134(2), pages 401-417, October.
    2. Liu, Zhiwei & Park, Sangwon, 2015. "What makes a useful online review? Implication for travel product websites," Tourism Management, Elsevier, vol. 47(C), pages 140-151.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Javier Alejo & Antonio Galvao & Gabriel Montes-Rojas & Walter Sosa-Escudero, 2015. "Tests for normality in linear panel-data models," Stata Journal, StataCorp LP, vol. 15(3), pages 822-832, September.
    2. Inmaculada Rabadán-Martín & Francisco Aguado-Correa & Nuria Padilla-Garrido, 2020. "Online reputation of 4- and 5-star hotels," Tourism and Hospitality Management, University of Rijeka, Faculty of Tourism and Hospitality Management, vol. 26(1), pages 157-172, June.
    3. Kaushik, Kapil & Mishra, Rajhans & Rana, Nripendra P. & Dwivedi, Yogesh K., 2018. "Exploring reviews and review sequences on e-commerce platform: A study of helpful reviews on Amazon.in," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 21-32.
    4. Moradi, Masoud & Dass, Mayukh & Kumar, Piyush, 2023. "Differential effects of analytical versus emotional rhetorical style on review helpfulness," Journal of Business Research, Elsevier, vol. 154(C).
    5. Peiwen Guo & Jun Fang & Ke Zhu, 2023. "The Spatial Spillover Effect and Function Routes of Transport Infrastructure Investment on Economic Growth: Evidence from Panel Data of OECD Members and Partners," Mathematics, MDPI, vol. 11(5), pages 1-26, February.
    6. Hao Yin & Elisabetta Cherchi, 2024. "Willingness to pay for automated taxis: a stated choice experiment to measure the impact of in-vehicle features and customer reviews," Transportation, Springer, vol. 51(1), pages 51-72, February.
    7. Raoofpanah, Iman & Zamudio, César & Groening, Christopher, 2023. "Review reader segmentation based on the heterogeneous impacts of review and reviewer attributes on review helpfulness: A study involving ZIP code data," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    8. Georges Bresson & Cheng Hsiao & Alain Pirotte, 2011. "Assessing the contribution of R&D to total factor productivity—a Bayesian approach to account for heterogeneity and heteroskedasticity," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 435-452, December.
    9. Kouassi, Eugene & Mougoué, Mbodja & Sango, Joel & Bosson Brou, J.M. & Amba, Claude M.O. & Salisu, Afeez Adebare, 2014. "Testing for heteroskedasticity and spatial correlation in a two way random effects model," Computational Statistics & Data Analysis, Elsevier, vol. 70(C), pages 153-171.
    10. Xiaomo Liu & G. Alan Wang & Weiguo Fan & Zhongju Zhang, 2020. "Finding Useful Solutions in Online Knowledge Communities: A Theory-Driven Design and Multilevel Analysis," Information Systems Research, INFORMS, vol. 31(3), pages 731-752, September.
    11. Yanni Ping & Chelsey Hill & Yun Zhu & Jorge Fresneda, 2023. "Antecedents and consequences of the key opinion leader status: an econometric and machine learning approach," Electronic Commerce Research, Springer, vol. 23(3), pages 1459-1484, September.
    12. Shoukat Ali & Ramiz Ur Rehman & Muhammad Ishfaq Ahmad & Joe Ueng, 2021. "Does Board Diversity Attract Foreign Institutional Ownership? Insights from the Chinese Equity Market," JRFM, MDPI, vol. 14(11), pages 1-15, October.
    13. Aitor García-Pablos & Montse Cuadros & Maria Teresa Linaza, 2016. "Automatic analysis of textual hotel reviews," Information Technology & Tourism, Springer, vol. 16(1), pages 45-69, March.
    14. Julius Schäper & Rainer Winkelmann, 2024. "Random effects panel data models with known heteroskedasticity," ECON - Working Papers 445, Department of Economics - University of Zurich, revised Sep 2024.
    15. Caiwei Ma & Norman Au & Lianping Ren, 2020. "Biased minds experience improved decision-making speed and confidence on social media: a heuristic approach," Information Technology & Tourism, Springer, vol. 22(4), pages 593-624, December.
    16. Supratim Kundu & Swapnajit Chakraborti, 2022. "A comparative study of online consumer reviews of Apple iPhone across Amazon, Twitter and MouthShut platforms," Electronic Commerce Research, Springer, vol. 22(3), pages 925-950, September.
    17. Wu, Jianhong, 2020. "A joint test for serial correlation and heteroscedasticity in fixed-T panel regression models with interactive effects," Economics Letters, Elsevier, vol. 197(C).
    18. Rui Hou & Leiming Li & Bingquan Liu, 2020. "Backers investment behavior on explicit and implicit factors in reward-based crowdfunding based on ELM theory," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-29, August.
    19. Gang Ren & Taeho Hong, 2017. "Investigating Online Destination Images Using a Topic-Based Sentiment Analysis Approach," Sustainability, MDPI, vol. 9(10), pages 1-18, September.
    20. Wen-Kuo Chen & Dalianus Riantama & Long-Sheng Chen, 2020. "Using a Text Mining Approach to Hear Voices of Customers from Social Media toward the Fast-Food Restaurant Industry," Sustainability, MDPI, vol. 13(1), pages 1-17, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:anture:v:57:y:2016:i:c:p:264-267. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/annals-of-tourism-research/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.