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Citation |
Lu L, Huang H, Wei J, Xu J. Risk Anal. 2020; ePub(ePub): ePub. |
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Affiliation |
School of Management, University of Science and Technology of China, 96, JinZhai Road, Hefei, Anhui Province, 230026, P.R. China. |
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Copyright |
(Copyright © 2020, Society for Risk Analysis, Publisher John Wiley and Sons) |
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DOI |
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PMID |
32017174 |
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Abstract |
This study examines how government safety regulations affect the uncertainty of work-related road accident loss (UWRAL) by considering the multi-identity of local governments in the relationship among the central government, the local governments, and enterprises. Fixed effects panel models and mediation analyses with bootstrapping were conducted to test the hypotheses using Chinese provincial panel data from 2008 to 2014. Given the complexity and nonlinear characteristics of road safety systems, a new approach based on self-organized criticality theory is proposed to measure the uncertainty of road accident loss from a complex system perspective. We find that a regional government with detailed safety work planning (SWP), high safety supervision intensity (SSI), and safety information transparency (SIT) can decrease the UWRAL. Furthermore, our findings suggest that SSI and SIT partially mediate the relationship between the SWP of regional governments and the UWRAL, with 19.7% and 23.6% indirect effects, respectively. This study also provides the government with managerial implications by linking the results of risk assessment to decision making for risk management. Language: en |
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Keywords |
Power-law distribution; principal-agent framework; risk assessment; safety regulation; uncertainty of accident loss |