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How can insolvency in tourism be predicted? The case of local accommodation

How can insolvency in tourism be predicted? The case of local accommodation The specific typology of local accommodation in Portugal has undergone a huge expansion accompanied by a proliferation in the number of firms and it is crucial that the firms associated with this boom can ensure their survival and remain in the market. The purpose of this paper is to specify an insolvency forecasting model and identify which financial indicators best contribute to forecasting insolvency in local accommodation firms.Design/methodology/approachAt the methodological level, the financial data of firms in this sector were initially collected via the SABI database; then the probit model was estimated to perform the analysis of financial variables, with the aim of observing their behaviour and understanding which are crucial in predicting business insolvency.FindingsGiven the scarcity of studies in this specific typology of accommodation, the results of this paper are relevant and increase the knowledge for the sector. They also enable the identification of financial ratios that deserve greater attention from those responsible for firms in this sector, namely, profitability and liquidity ratios. In short, profitability ratios vary inversely with the probability of insolvency, so that firms with higher levels of net profitability, asset rotation or accumulated profitability have a lower probability of insolvency, with the opposite being true in terms of liquidity, where firms with higher current assets are more likely to become insolvent.Originality/valueThe novelty of this paper is focused on the urgent need for tourism accommodation stakeholders to prevent or anticipate insolvency and identify which financial indicators best contribute to forecasting insolvency. This research is fundamental, as many cities are considered major tourist destinations and where a high number of tourism businesses are concentrated. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Tourism Cities Emerald Publishing

How can insolvency in tourism be predicted? The case of local accommodation

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Publisher
Emerald Publishing
Copyright
© International Tourism Studies Association.
ISSN
2056-5607
DOI
10.1108/ijtc-08-2021-0166
Publisher site
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Abstract

The specific typology of local accommodation in Portugal has undergone a huge expansion accompanied by a proliferation in the number of firms and it is crucial that the firms associated with this boom can ensure their survival and remain in the market. The purpose of this paper is to specify an insolvency forecasting model and identify which financial indicators best contribute to forecasting insolvency in local accommodation firms.Design/methodology/approachAt the methodological level, the financial data of firms in this sector were initially collected via the SABI database; then the probit model was estimated to perform the analysis of financial variables, with the aim of observing their behaviour and understanding which are crucial in predicting business insolvency.FindingsGiven the scarcity of studies in this specific typology of accommodation, the results of this paper are relevant and increase the knowledge for the sector. They also enable the identification of financial ratios that deserve greater attention from those responsible for firms in this sector, namely, profitability and liquidity ratios. In short, profitability ratios vary inversely with the probability of insolvency, so that firms with higher levels of net profitability, asset rotation or accumulated profitability have a lower probability of insolvency, with the opposite being true in terms of liquidity, where firms with higher current assets are more likely to become insolvent.Originality/valueThe novelty of this paper is focused on the urgent need for tourism accommodation stakeholders to prevent or anticipate insolvency and identify which financial indicators best contribute to forecasting insolvency. This research is fundamental, as many cities are considered major tourist destinations and where a high number of tourism businesses are concentrated.

Journal

International Journal of Tourism Cities – Emerald Publishing

Published: Dec 9, 2022

Keywords: Performance measurement; Financial ratios; Bankruptcy prediction; Local accommodation; Portugal

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