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The impact of Instagram on Airbnb’s listing prices in the city of Barcelona

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  • Ricardo Teruel-Gutierrez

    (Technical University of Cartagena)

  • Mariluz Maté-Sánchez-Val

    (Technical University of Cartagena)

Abstract

The purpose of our study is to analyse whether consumers’ preferences—evaluated through social media—to different tourist sites have a significant impact on Airbnb’s prices. With this purpose, we develop an empirical application in the city of Barcelona where we evaluate the impact of Instagram—identifying the main points of interest in this city—on listings’ prices. We estimate a micro-territorial hedonic model on Airbnb’s prices against different subsamples established according to listings’ characteristics. Our results show a negative and significant effect for the representative variable of the geographic distance of Airbnb’s listings to the tourist sites on Instagram. In particular, each additional 10% increase in the distance from Instagram tourist spots to Airbnb’s listings resulted in a 2.7% decrease in Airbnb’s listing price in Barcelona. This study provides additional evidence about the relevant role of social networks when accommodation offerings are examined, even when we consider accommodations included in the sharing economy.

Suggested Citation

  • Ricardo Teruel-Gutierrez & Mariluz Maté-Sánchez-Val, 2021. "The impact of Instagram on Airbnb’s listing prices in the city of Barcelona," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(3), pages 737-763, December.
    • Handle: RePEc:spr:anresc:v:67:y:2021:i:3:d:10.1007_s00168-021-01064-z
    DOI: 10.1007/s00168-021-01064-z
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    1. Lin Zhang & Liwen Chen & Zezhou Wu & Hong Xue & Wenlin Dong, 2018. "Key Factors Affecting Informed Consumers’ Willingness to Pay for Green Housing: A Case Study of Jinan, China," Sustainability, MDPI, vol. 10(6), pages 1-16, May.
    2. V. Raul Perez-Sanchez & Leticia Serrano-Estrada & Pablo Marti & Raul-Tomas Mora-Garcia, 2018. "The What, Where, and Why of Airbnb Price Determinants," Sustainability, MDPI, vol. 10(12), pages 1-31, December.
    3. Florax, Raymond & Folmer, Henk, 1992. "Specification and estimation of spatial linear regression models : Monte Carlo evaluation of pre-test estimators," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 405-432, September.
    4. Stepchenkova, Svetlana & Zhan, Fangzi, 2013. "Visual destination images of Peru: Comparative content analysis of DMO and user-generated photography," Tourism Management, Elsevier, vol. 36(C), pages 590-601.
    5. Egbert Van der Zee & Dario Bertocchi, 2018. "Finding patterns in urban tourist behaviour: a social network analysis approach based on TripAdvisor reviews," Information Technology & Tourism, Springer, vol. 20(1), pages 153-180, December.
    6. Anderson, T.W. & Kunitomo, Naoto & Matsushita, Yukitoshi, 2010. "On the asymptotic optimality of the LIML estimator with possibly many instruments," Journal of Econometrics, Elsevier, vol. 157(2), pages 191-204, August.
    7. Donghwan Ki & Sugie Lee, 2019. "Spatial Distribution and Location Characteristics of Airbnb in Seoul, Korea," Sustainability, MDPI, vol. 11(15), pages 1-16, July.
    8. Gutiérrez, Javier & García-Palomares, Juan Carlos & Romanillos, Gustavo & Salas-Olmedo, María Henar, 2017. "The eruption of Airbnb in tourist cities: Comparing spatial patterns of hotels and peer-to-peer accommodation in Barcelona," Tourism Management, Elsevier, vol. 62(C), pages 278-291.
    9. Luc Anselin & Daniel A. Griffith, 1988. "Do Spatial Effecfs Really Matter In Regression Analysis?," Papers in Regional Science, Wiley Blackwell, vol. 65(1), pages 11-34, January.
    10. Fernando A. López & Konstantin A. Kholodilin, 2020. "The MARS Algorithm in the Spatial Framework: Non-Linearities and Spatial Effects in Hedonic Models," Discussion Papers of DIW Berlin 1842, DIW Berlin, German Institute for Economic Research.
    11. T. W. Anderson & Naoto Kunitomo & Yukitoshi Matsushita, 2008. "On the Asymptotic Optimality of the LIML Estimator with Possibly Many Instruments," CIRJE F-Series CIRJE-F-542, CIRJE, Faculty of Economics, University of Tokyo.
    12. Hui Li & Kannan Srinivasan, 2019. "Competitive Dynamics in the Sharing Economy: An Analysis in the Context of Airbnb and Hotels," Marketing Science, INFORMS, vol. 38(3), pages 365-391, May.
    13. De Silva, Dakshina G. & McComb, Robert P., 2012. "Geographic concentration and high tech firm survival," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 691-701.
    14. Mur, Jesús & Angulo, Ana, 2009. "Model selection strategies in a spatial setting: Some additional results," Regional Science and Urban Economics, Elsevier, vol. 39(2), pages 200-213, March.
    15. Karlsson, Logi & Dolnicar, Sara, 2016. "Someone’s been sleeping in my bed," Annals of Tourism Research, Elsevier, vol. 58(C), pages 159-162.
    16. Juan L Eugenio-Martin & José M Cazorla-Artiles & Christian González-Martel, 2019. "On the determinants of Airbnb location and its spatial distribution," Tourism Economics, , vol. 25(8), pages 1224-1244, December.
    17. Jan Van der Borg & Nicola Camatti & Dario Bertocchi & Andrea Albarea, 2017. "The Rise of the Sharing Economy in Tourism: Exploring Airbnb Attributes for the Veneto Region," Working Papers 2017:05, Department of Economics, University of Venice "Ca' Foscari".
    18. Robbin Deboosere & Danielle Jane Kerrigan & David Wachsmuth & Ahmed El-Geneidy, 2019. "Location, location and professionalization: a multilevel hedonic analysis of Airbnb listing prices and revenue," Regional Studies, Regional Science, Taylor & Francis Journals, vol. 6(1), pages 143-156, January.
    19. Basu, Sabyasachi & Thibodeau, Thomas G, 1998. "Analysis of Spatial Autocorrelation in House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 61-85, July.
    20. Bera, Anil K. & Yoon, Mann J., 1993. "Specification Testing with Locally Misspecified Alternatives," Econometric Theory, Cambridge University Press, vol. 9(4), pages 649-658, August.
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    Cited by:

    1. Ru Jia & Shanshan Wang, 2021. "Investigating the Impact of Professional and Nonprofessional Hosts’ Pricing Behaviors on Accommodation-Sharing Market Outcome," Sustainability, MDPI, vol. 13(21), pages 1-16, November.
    2. Monika Pettersen-Sobczyk, 2023. "Social Media Influencer Marketing in the Promotion of Tourist Destinations," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 585-594.

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    JEL classification:

    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • Q14 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Finance
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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