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The Causes of Occupational Accidents and Injuries in Romanian Firms

An Application of the Johansen Cointegration and Granger Causality Test

Dados Bibliográficos

ID15465824
AutoresLarisa Ivaşcu (0000-0003-1506-5467, Polytechnic University of Timişoara), Muddassar Sarfraz (0000-0001-6165-732X, Nanjing University of Information Science and Technology, autor correspondente), Muhammad Mohsin (0000-0002-4723-4184, Hunan University of Humanities, Science and Technology), Sobia Naseem (0000-0002-4990-5439, Shijiazhuang Tiedao University), İlknur Öztürk (0000-0002-2079-0383, Çağ University)
Ano2021
Volume18
Fascículo14
Páginas7634-7634
Data de publicação2021-07-18
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores do periódicoISSN: 1661-7827 • E-ISSN: 1660-4601
EditoraMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph18147634
PMID34300085
OpenAlexW3185255434
IdiomaEN
Citações recebidas1
Referências citadas46

Organizational risks are present in any activity, so it is important to manage them properly. The jobs are dynamic and involve a series of processes and activities. The entire human resource is exposed to several risks. If these risks are approached correctly, the organizational capacity to achieve its objectives and vision will increase considerably. This paper aims to investigate the relationships between work accidents (fatal and non-fatal) and the causes that contribute to their occurrence (causes dependent on the executor, causes dependent on the means of production, workload-dependent causes, and work-dependent causes-the work environment). The augmented Dickey-Fuller (ADF) test is employed to check the data stationarity series, while the Johansen test determines the cointegration relation of variables. The data have been collected from Romanian organizations. The vector error correction model (VECM) and Granger causality test are applied for speed of adjustment, nature, and direction of variables' relationship. This research demonstrated that both data series are free from the unit-root problem at first difference. The lag length criterions select the third lag for model fitness, and Johansen cointegration declares that variables are cointegrated for the long term. The vector error correction model shows the speed of adjustment from the short to the long run is 83.35% and 42.60% for work and fatal accidents. The study results show that fatal accidents have a series relationship with selected cases for the short run and have a long-run relationship with the means of production. Fatal accidents are directly related to means of production. Fatal accidents are not designed by executors, workload-dependent causes, or work environments in the short run. Fatal accidents are directly related to the means of production and sudden incidents happening in the long run. Fatal accidents are considered by executors, workload-dependent causes, or work environments in the short run. In the long run, fatal accidents are directly related to the means of production and sudden incidents happening

Causality (physics · Cointegration · Econometrics · Economics · Error correction model · Granger causality · Johansen test · Macroeconomics · Short run · Statistics · Time series · Work (physics · Engineering · Mathematics · Occupational Health and Safety Research · Risk and Safety Analysis · Supply Chain Resilience and Risk Management

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  • Lag Order and Critical Values of the Augmented Dickey–Fuller Test

    Yin‐Wong Cheung, Yin-Wong Cheung et al.•Journal of Business and Economic…•1995

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Obras citantes distintas1
Citações por ano0,33
Intervalo de citações2023 - 2023 (1)
Velocidade de citaçãohistorical
Altamente citadoNão
Tipos de citaçãoNeutras: 1
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