China Safety Science Journal ›› 2019, Vol. 29 ›› Issue (10): 141-146.doi: 10.16265/j.cnki.issn1003-3033.2019.10.022

• Safety Social Engineering Work • Previous Articles     Next Articles

Recommendations for reform on statistical systems of economic losses caused by work safety accidents in China

WANG Haishun1,2, XU Ming1,2, XIN Panpan1,2, QI Xin1,2, PEI Jingjing1,2   

  1. 1 School of Engineering & Technology, China University of Geosciences (Beijing), Beijing 100083, China;
    2 Key Laboratory of Deep Geodrilling Technology, Ministry of Land and Resources, China University of Geosciences (Beijing), Beijing 100083, China
  • Received:2019-07-14 Revised:2019-09-05 Online:2019-10-28 Published:2020-10-27

Abstract: In order to improve statistical comprehensiveness and accuracy of economic losses caused by work safety accidents in China, five authoritative documents concerning this part were compared and analyzed and major problems existing in statistical systems were sorted out. Then, based on productive practices taken by international world in this regard, corresponding reform proposals were put forward. The research shows that there are several key problems in China's current documents, such as subjects of economic loss statistics are inconsistent, indirect economic loss statistics are not stipulated, direct economic loss data are not disclosed in accident investigation reports, time limit of statistical work is not uniform, definition of space boundary is not clear, and there is no differentiation for industries. In response to these problems, some reform recommendations were proposed, including setting up dedicated accident investigation agencies, weakening "direct-indirect" classification of economic losses of accidents, tracking statistics and disclosing economic losses by stages, establishing relevant database and formulating statistical standards for economic losses of major chemical accidents.

Key words: economic loss caused by accident, statistical system, loss statistical index, major chemical accident, database

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