Analysing spatial and temporal dynamics of suicide in South Korea: An application of the dynamic spatial panel data model
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.
Adamczyk A, 2013. The effect of personal religiosity on attitudes toward abortion, divorce, and gender equality: Does cultural context make a difference? EurAmerica 43:213-53.
Baller RD, Richardson KK, 2002. Social integration, imitation, and the geographic patterning of suicide. Am Sociol Rev 67:873-88. DOI: https://doi.org/10.2307/3088974
Baltagi BH, Blien U, Wolf K, 2012. A dynamic spatial panel data approach to the German wage curve. Econ Model 29:12-21. DOI: https://doi.org/10.1016/j.econmod.2010.08.019
Belotti F, Hughes G, Mortari AP, 2016. Spatial panel data models using Stata. Stata J 17:139-80. DOI: https://doi.org/10.1177/1536867X1701700109
Breuer C, 2015. Unemployment and suicide mortality: Evidence from regional panel data in Europe. Health Econ 24:936-50. DOI: https://doi.org/10.1002/hec.3073
Bussu A, Detotto C, Sterzi V, 2013. Social conformity and suicide. J Socio Econ 42:67-78. DOI: https://doi.org/10.1016/j.socec.2012.11.013
Cheong KS, Choi MH, Cho BM, Yoon TH, Kim CH, Kim YM, Hwang IK, 2012. Suicide rate differences by sex, age, urbanicity, and related regional factors in Korea. J Prev Med Public Health 45:70-7. DOI: https://doi.org/10.3961/jpmph.2012.45.2.70
Congdon P, 2011. The spatial pattern of suicide in the U.S. in relation to deprivation, fragmentation and rurality. Urban Stud 48:2101-22. DOI: https://doi.org/10.1177/0042098010380961
Durkheim E, 1897. Suicide. Free Press, Glencoe, IL, USA.
Eichhorn J, 2014. The (non-) effect of unemployment benefits: Variations in the effect of unemployment on life-satisfaction between EU countries. Soc Indic Res 119:389-404. DOI: https://doi.org/10.1007/s11205-013-0474-9
Eun S, 2019. Contextual association between political regime and adolescent suicide risk in Korea: A 12-year repeated cross-sectional study from Korea. Int J Environ Res Public Health 16:874-887. DOI: https://doi.org/10.3390/ijerph16050874
Hussain M, 2018. Do suicide rates correlate with the Gini coefficient & GDP? Aus Aca Acc & Fin Rev 4:11-4.
Joo Y, 2017. Spatiotemporal study of elderly suicide in Korea by age cohort. Public Health 142:144-51. DOI: https://doi.org/10.1016/j.puhe.2016.07.016
Kang T, 2017. Suicide in South Korea: revisiting Durkheim’s suicide. J Soc Thought 2:3-14.
Kim JN, Han GH, Ro SH, 2020. A study on the residential environment polarization and characteristics in Seoul. Resident Environ 18:43-59 [Article in Korean]. DOI: https://doi.org/10.22313/reik.2020.18.4.43
Korean Statistical Information Service (KOSIS). 2019. Suicide statistics. Available from: http://kosis.kr/
Moon DS, Chung HJ, 2019. Two economic crises, unemployment, working poor, and gender: Explaining the dynamics of the risk patterns of suicide in South Korea. J Korean Welfare State Soc Policy 3:28-53.
Moore MD, Recker NL, Heirigs M, 2014. Suicide and the creative class. Soc Indic Res 119:1613-26. DOI: https://doi.org/10.1007/s11205-013-0566-6
Nordt C, Warnke I, Seifritz E, Kawohl W, 2015. Modelling suicide and unemployment: A longitudinal analysis covering 63 countries, 2000-11. Lancet Psychiat 2:239-45. DOI: https://doi.org/10.1016/S2215-0366(14)00118-7
Park BCB, Lester D, 2006. Social integration and suicide in South Korea. Crisis 27:48-50. DOI: https://doi.org/10.1027/0227-5910.27.1.48
Phillips JA, 2013. Factors associated with temporal and spatial patterns in suicide rates across U.S. states, 1976-2000. Demography 50:591-614. DOI: https://doi.org/10.1007/s13524-012-0176-y
Porter JR, Purser CW, 2010. Social disorganization, marriage, and reported crime: a spatial econometrics examination of family formation and criminal offending. J Crim Justice 38:942-50. DOI: https://doi.org/10.1016/j.jcrimjus.2010.06.011
The World Bank, 2019. The Republic of Korea data. Available from: https://data.worldbank.org/country/korea-rep Accessed: 30 May 2020.
Tran F, Morrison C, 2020. Income inequality and suicide in the United States: a spatial analysis of 1684 U.S. counties using geographically weighted regression. Spat Spatio-Temporal Epidemiol 34:1-9. DOI: https://doi.org/10.1016/j.sste.2020.100359
Ye X, Wu L, 2011. Analyzing the dynamics of homicide patterns in Chicago: ESDA and spatial panel approaches. Appl Geogr 31:800-7. DOI: https://doi.org/10.1016/j.apgeog.2010.08.006
Yeom Y, 2019. Population-level alcohol consumption and suicide mortality rate in South Korea: An application of multivariable spatial regression model. Geospat Health 14:163-70. DOI: https://doi.org/10.4081/gh.2019.746
Yoon T, Noh M, Han J, Jung-Choi K, Khang Y, 2015. Deprivation and suicide mortality across 424 neighborhoods in Seoul, South Korea: A Bayesian spatial analysis. Int J Public Health 60:969-76. DOI: https://doi.org/10.1007/s00038-015-0694-7
- Abstract views: 333
- PDF: 80
Copyright (c) 2021 the Author(s)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.