IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i12p6782-d575534.html

Gender and Bankruptcy: A Hotel Survival Econometric Analysis

Author

Listed:
  • María Escribano-Navas

    (PhD Program in Tourism, Universidad de Málaga, 29071 Málaga, Spain)

  • German Gemar

    (Department of Economics and Business Administration, Universidad de Málaga, Campus El Ejido, s/n, 29071 Malaga, Spain)

Abstract

This study’s objective was to understand how chief executive officers’ (CEOs) gender affects hotel businesses’ survival. Female managers’ influence has already been examined in other sectors, but researchers have not studied women CEOs’ role in hotel management and survival. A sample of 2615 Spanish hotel companies was examined during the period 2005–2018 for how their survival was affected by the variables of financial aspects, years of experience and the principal hotel executive’s gender. An econometrics-based survival analysis was conducted using a single complementary log-log model and panel data. The results indicate that some financial variables, such as sales, working capital to total assets ratio and each company’s experience, influence hotel businesses’ survival. The main finding was that women CEOs increase hotels’ survival rate. This CEO gender study is a novelty in the literature on hotel survival.

Suggested Citation

  • María Escribano-Navas & German Gemar, 2021. "Gender and Bankruptcy: A Hotel Survival Econometric Analysis," Sustainability, MDPI, vol. 13(12), pages 1-13, June.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6782-:d:575534
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/12/6782/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/12/6782/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Everett, Jim & Watson, John, 1998. "Small Business Failure and External Risk Factors," Small Business Economics, Springer, vol. 11(4), pages 371-390, December.
    2. Kyre Dane Lahtinen, 2019. "Motivating gender use in financial research: a survey of recent literature," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 12(3), pages 242-258, August.
    3. Hayato Goto & Hideki Takayasu & Misako Takayasu, 2017. "Estimating risk propagation between interacting firms on inter-firm complex network," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-12, October.
    4. Kevin Campbell & Antonio Mínguez-Vera, 2008. "Gender Diversity in the Boardroom and Firm Financial Performance," Journal of Business Ethics, Springer, vol. 83(3), pages 435-451, December.
    5. Schwartz-Ziv, Miriam, 2017. "Gender and Board Activeness: The Role of a Critical Mass," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(2), pages 751-780, April.
    6. Bennouri, Moez & Chtioui, Tawhid & Nagati, Haithem & Nekhili, Mehdi, 2018. "Female board directorship and firm performance: What really matters?," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 267-291.
    7. Delmar, Frédéric & McKelvie, Alexander & Wennberg, Karl, 2013. "Untangling the relationships among growth, profitability and survival in new firms," Ratio Working Papers 205, The Ratio Institute.
    8. repec:hal:journl:hal-02312104 is not listed on IDEAS
    9. Lily Hua Fang & Sterling Huang, 2017. "Gender and Connections among Wall Street Analysts," The Review of Financial Studies, Society for Financial Studies, vol. 30(9), pages 3305-3335.
    10. Gémar, Germán & Moniche, Laura & Morales, Antonio J., 2016. "Survival analysis of the Spanish hotel industry," Tourism Management, Elsevier, vol. 54(C), pages 428-438.
    11. Andreas Rauch & Serge A. Rijsdijk, 2013. "The Effects of General and Specific Human Capital on Long–Term Growth and Failure of Newly Founded Businesses," Entrepreneurship Theory and Practice, , vol. 37(4), pages 923-941, July.
    12. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    13. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    14. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 18(1), pages 109-131.
    15. Thorsten Beck & Patrick Behr & Andre Guettler, 2013. "Gender and Banking: Are Women Better Loan Officers?," Review of Finance, European Finance Association, vol. 17(4), pages 1279-1321.
    16. Chen, Xiaoyun & Zou, Huan & Wang, Danny T., 2009. "How do new ventures grow? Firm capabilities, growth strategies and performance," International Journal of Research in Marketing, Elsevier, vol. 26(4), pages 294-303.
    17. Jasmin Joecks & Kerstin Pull & Karin Vetter, 2013. "Gender Diversity in the Boardroom and Firm Performance: What Exactly Constitutes a “Critical Mass?”," Journal of Business Ethics, Springer, vol. 118(1), pages 61-72, November.
    18. Masatoshi Kato & Yuji Honjo, 2015. "Entrepreneurial human capital and the survival of new firms in high- and low-tech sectors," Journal of Evolutionary Economics, Springer, vol. 25(5), pages 925-957, November.
    19. Delen, Dursun & Cogdell, Douglas & Kasap, Nihat, 2012. "A comparative analysis of data mining methods in predicting NCAA bowl outcomes," International Journal of Forecasting, Elsevier, vol. 28(2), pages 543-552.
    20. Ravi Kumar, P. & Ravi, V., 2007. "Bankruptcy prediction in banks and firms via statistical and intelligent techniques - A review," European Journal of Operational Research, Elsevier, vol. 180(1), pages 1-28, July.
    21. Watson, John & Robinson, Sherry, 2003. "Adjusting for risk in comparing the performances of male- and female-controlled SMEs," Journal of Business Venturing, Elsevier, vol. 18(6), pages 773-788, November.
    22. Udenio, Maximiliano & Fransoo, Jan C. & Peels, Robert, 2015. "Destocking, the bullwhip effect, and the credit crisis: Empirical modeling of supply chain dynamics," International Journal of Production Economics, Elsevier, vol. 160(C), pages 34-46.
    23. Amankwah-Amoah, Joseph, 2015. "A unified framework for incorporating decision-.making into explanations of business failure," MPRA Paper 65896, University Library of Munich, Germany.
    24. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 4, pages 71-111.
    25. Khan, Walayet A. & Vieito, João Paulo, 2013. "Ceo gender and firm performance," Journal of Economics and Business, Elsevier, vol. 67(C), pages 55-66.
    26. Li, Shouwei & Sui, Xin, 2016. "Contagion risk in endogenous financial networks," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 591-597.
    27. Winter, Mary & Danes, Sharon M. & Koh, Sun-Kang & Fredericks, Kelly & Paul, Jennifer J., 2004. "Tracking family businesses and their owners over time: panel attrition, manager departure and business demise," Journal of Business Venturing, Elsevier, vol. 19(4), pages 535-559, July.
    28. Nuria Reguera-Alvarado & Pilar Fuentes & Joaquina Laffarga, 2017. "Does Board Gender Diversity Influence Financial Performance? Evidence from Spain," Journal of Business Ethics, Springer, vol. 141(2), pages 337-350, March.
    29. Jayasuriya Mahapatabendige Ruwani Fernando & Leon Li & Yang (Greg) Hou, 2019. "Corporate governance and default prediction: a reality test," Applied Economics, Taylor & Francis Journals, vol. 51(24), pages 2669-2686, May.
    30. Ana GARCÍA-GALLEGO & María-Jesús MURES-QUINTANA, 2016. "Principal Components And Canonical Correlation Analyses As Complementary Tools. Application To The Processing Of Financial Information," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(4), pages 249-266.
    31. Faccio, Mara & Marchica, Maria-Teresa & Mura, Roberto, 2016. "CEO gender, corporate risk-taking, and the efficiency of capital allocation," Journal of Corporate Finance, Elsevier, vol. 39(C), pages 193-209.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Theodore Metaxas & Athanasios Romanopoulos, 2023. "A Literature Review on the Financial Determinants of Hotel Default," JRFM, MDPI, vol. 16(7), pages 1-19, July.
    2. Tijana Matejić & Snežana Knežević & Vesna Bogojević Arsić & Tijana Obradović & Stefan Milojević & Miljan Adamović & Aleksandra Mitrović & Marko Milašinović & Dragoljub Simonović & Goran Milošević & Ma, 2022. "Assessing the Impact of the COVID-19 Crisis on Hotel Industry Bankruptcy Risk through Novel Forecasting Models," Sustainability, MDPI, vol. 14(8), pages 1-44, April.
    3. Marko Špiler & Tijana Matejić & Snežana Knežević & Marko Milašinović & Aleksandra Mitrović & Vesna Bogojević Arsić & Tijana Obradović & Dragoljub Simonović & Vukašin Despotović & Stefan Milojević & Mi, 2022. "Assessment of the Bankruptcy Risk in the Hotel Industry as a Condition of the COVID-19 Crisis Using Time-Delay Neural Networks," Sustainability, MDPI, vol. 15(1), pages 1-54, December.

    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. Serrano-Cinca, Carlos & Gutiérrez-Nieto, Begoña & Bernate-Valbuena, Martha, 2019. "The use of accounting anomalies indicators to predict business failure," European Management Journal, Elsevier, vol. 37(3), pages 353-375.
    2. Maria Fátima Ribeiro Borges & Graça Maria do Carmo Azevedo & Jonas Oliveira, 2025. "Literature review on gender diversity in top management teams of companies and its relationship with firm performance and audit quality," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 22(1), pages 177-201, March.
    3. Koen W. de Bock, 2017. "The best of two worlds: Balancing model strength and comprehensibility in business failure prediction using spline-rule ensembles," Post-Print hal-01588059, HAL.
    4. Hyeongjun Kim & Hoon Cho & Doojin Ryu, 2020. "Corporate Default Predictions Using Machine Learning: Literature Review," Sustainability, MDPI, vol. 12(16), pages 1-11, August.
    5. Meng, Qingbin & Zheng, Xinxing & Wang, Solomon, 2024. "Corporate governance and financial distress in China a multi-dimensional nonlinear study based on machine learning," Pacific-Basin Finance Journal, Elsevier, vol. 88(C).
    6. Sami Ben Jabeur & Nicolae Stef & Pedro Carmona, 2023. "Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering," Computational Economics, Springer;Society for Computational Economics, vol. 61(2), pages 715-741, February.
    7. Citterio, Alberto, 2024. "Bank failure prediction models: Review and outlook," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    8. Ben Jabeur, Sami & Serret, Vanessa, 2023. "Bankruptcy prediction using fuzzy convolutional neural networks," Research in International Business and Finance, Elsevier, vol. 64(C).
    9. Weiyu Wang & Maria João Guedes, 2025. "Firm failure prediction for small and medium-sized enterprises and new ventures," Review of Managerial Science, Springer, vol. 19(7), pages 1949-1982, July.
    10. Chen, Tsung-Kang & Hao, Yun & Chang, Ting-Ru & Lin, Yu-Chun, 2025. "Foreseeing bankruptcy: A novel perspective based on the uncertainty of text-based communicative value of annual reports," Finance Research Letters, Elsevier, vol. 84(C).
    11. Liang, Deron & Tsai, Chih-Fong & Lu, Hung-Yuan (Richard) & Chang, Li-Shin, 2020. "Combining corporate governance indicators with stacking ensembles for financial distress prediction," Journal of Business Research, Elsevier, vol. 120(C), pages 137-146.
    12. Zhou, Fanyin & Fu, Lijun & Li, Zhiyong & Xu, Jiawei, 2022. "The recurrence of financial distress: A survival analysis," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1100-1115.
    13. Le, Hong Hanh & Viviani, Jean-Laurent, 2018. "Predicting bank failure: An improvement by implementing a machine-learning approach to classical financial ratios," Research in International Business and Finance, Elsevier, vol. 44(C), pages 16-25.
    14. Lin, Fengyi & Yeh, Ching Chiang & Lee, Meng Yuan, 2013. "A Hybrid Business Failure Prediction Model Using Locally Linear Embedding And Support Vector Machines," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 82-97, March.
    15. Carlos Serrano-Cinca & Yolanda Fuertes-Call鮠 & Bego uti鲲ez-Nieto & Beatriz Cuellar-Fernᮤez, 2014. "Path modelling to bankruptcy: causes and symptoms of the banking crisis," Applied Economics, Taylor & Francis Journals, vol. 46(31), pages 3798-3811, November.
    16. Mousavi, Mohammad M. & Ouenniche, Jamal & Xu, Bing, 2015. "Performance evaluation of bankruptcy prediction models: An orientation-free super-efficiency DEA-based framework," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 64-75.
    17. Ken Li, 2024. "Liquidity ratios and corporate failures," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 1111-1134, March.
    18. Noora Alzayed & Rasol Eskandari & Hassan Yazdifar, 2023. "Bank failure prediction: corporate governance and financial indicators," Review of Quantitative Finance and Accounting, Springer, vol. 61(2), pages 601-631, August.
    19. David Veganzones, 2022. "Corporate failure prediction using threshold‐based models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 956-979, August.
    20. Christian Lohmann & Steffen Möllenhoff & Thorsten Ohliger, 2023. "Nonlinear relationships in bankruptcy prediction and their effect on the profitability of bankruptcy prediction models," Journal of Business Economics, Springer, vol. 93(9), pages 1661-1690, November.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:gam:jsusta:v:13:y:2021:i:12:p:6782-:d:575534. 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: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (email available below). General contact details of provider: https://www.mdpi.com .

    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.