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The Relationship Between Company Survival, Site Risk and Accidents in Construction Industry

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Advances in Safety Management and Human Performance (AHFE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1204))

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Abstract

This paper examines the relationships between the accident rate of a company and the likelihood that a construction firm survives in the industry. We have done 409 assessments of risk levels on site from 344 Spanish firms from 2004 to 2010. With these assessments, accidents rates and survival/mortality data from SABI database we constructed a panel of data. Our general hypothesis is that accident rate makes less likely that a company survives in the sector. We estimate the relationships among these variables using probit regression methodology. Our results are relevant to highlight the imperative of define effective policies to control accident rates, and improve the construction sector health and its sustainable competitiveness.

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Acknowledgments

This research has been partially funded by project ECO2017-86305-C4-1-R from the Spanish Ministry of Economy, Industry and Competitiveness, funds from the Department of Business Economics at University of the Balearic Islands, and with the help of the Labor Authority of Balearic Islands Government.

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Authors and Affiliations

  1. University of the Balearic Islands, Palma, Spain

    José M. Carretero-Gómez, Francisco J. Forteza & Bàrbara Estudillo Gil

Authors
  1. José M. Carretero-Gómez
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  2. Francisco J. Forteza
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  3. Bàrbara Estudillo Gil
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Corresponding author

Correspondence to José M. Carretero-Gómez .

Editor information

Editors and Affiliations

  1. DPS, School of Engineering, University of Minho, Guimaraes, Portugal

    Pedro M. Arezes

  2. Idaho National Laboratory, Idaho Falls, ID, USA

    Ronald L. Boring

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Carretero-Gómez, J.M., Forteza, F.J., Gil, B.E. (2020). The Relationship Between Company Survival, Site Risk and Accidents in Construction Industry. In: Arezes, P., Boring, R. (eds) Advances in Safety Management and Human Performance. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1204. Springer, Cham. https://doi.org/10.1007/978-3-030-50946-0_15

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  • DOI: https://doi.org/10.1007/978-3-030-50946-0_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50945-3

  • Online ISBN: 978-3-030-50946-0

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