https://doi.org/10.4081/gh.2021.964
Analysing spatial and temporal dynamics of suicide in South Korea: An application of the dynamic spatial panel data model
Submitted: 6 December 2020
Accepted: 13 March 2021
Published: 5 May 2021
Accepted: 13 March 2021
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
This study examines the relationship between the suicide mortality rate and structural covariates in South Korea from 2008 to 2017 under Durkheim's theory of suicide. It applies the dynamic spatial panel data model to explore both spatial and temporal aspects of the suicide phenomena recognising statistical limitations in previous suicide research based on either cross-sectional or longitudinal methodology. The results demonstrate that the suicide mortality rates in South Korea are spatially and temporally dependent on those of neighbouring units or its own time-lagged suicide mortality rates. Moreover, this study estimates that the divorce rate, unemployment rate and land price index, which are assumed to be proxies of social integration and regulation, significantly impact the suicide mortality rates. The results imply that deteriorating socioeconomic conditions are risk factors for the suicide mortality rate and suggests implementing policies to alleviate the high level of social disintegration caused by Korea's deteriorating socioeconomic conditions.
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How to Cite
Yeom, Y. (2021). Analysing spatial and temporal dynamics of suicide in South Korea: An application of the dynamic spatial panel data model. Geospatial Health, 16(1). https://doi.org/10.4081/gh.2021.964
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