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Predictors of societal accident proneness across 92 countries

Published on Apr 1, 2016in Cross-Cultural Research1.32
· DOI :10.1177/1069397115626139
Michael Minkov19
Estimated H-index: 19
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Abstract
This study finds that road death tolls, occupational fatality rates, and airline safety are strongly correlated across 92 countries, yielding a common factor: national societal accident proneness. It is independently predicted by national differences in transparency versus corruption and differences in education. This finding has important practical implications: Substantial reduction of a nation's societal accident proneness requires strong gains in transparency and education. Language: en
  • References (12)
  • Citations (2)
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References12
Newest
#1Henriette Wallen Warner (METU: Middle East Technical University)H-Index: 4
#2Türker Özkan (METU: Middle East Technical University)H-Index: 20
Last.Timo Lajunen (METU: Middle East Technical University)H-Index: 24
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#1Jianguo Yang (Xi'an Jiaotong University)H-Index: 2
#2Wen Deng (Xi'an Jiaotong University)H-Index: 1
Last.Zhaoan Wang (Xi'an Jiaotong University)H-Index: 2
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#1Päivi Hämäläinen (TUT: Tampere University of Technology)H-Index: 6
#2Jukka Takala (ILO: International Labour Organization)H-Index: 13
Last.Kaija Leena Saarela (TUT: Tampere University of Technology)H-Index: 9
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#1David Bishai (Johns Hopkins University)H-Index: 38
#2Asma Quresh (Johns Hopkins University)H-Index: 1
Last.Abdul Ghaffar (Global Forum for Health Research)H-Index: 22
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#1Elizabeth Kopits (EPA: United States Environmental Protection Agency)H-Index: 11
#2Maureen L. Cropper (UMD: University of Maryland, College Park)H-Index: 42
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