Mapping the geographical patterns of suicide mortality rates in Iran: An analysis of socioeconomic factors and spatial dependence | ||
| Journal of Statistical Modelling: Theory and Applications | ||
| دوره 4، شماره 1، فروردین 2023، صفحه 11-24 اصل مقاله (192.88 K) | ||
| نوع مقاله: Original Scientific Paper | ||
| شناسه دیجیتال (DOI): 10.22034/jsmta.2023.20274.1103 | ||
| نویسندگان | ||
| Mohadeseh Alsadat Farzammehr* ؛ Fatemeh Bodaghi | ||
| Judiciary Research Institute, Tehran, Iran | ||
| چکیده | ||
| Suicide is a complex issue that affects many regions globally, and the factors that contribute to it can differ based on geographical and cultural contexts. In this study, we examine the relationship between socioeconomic factors and suicide mortality rates across 31 provinces in Iran, using data from 2020. We employ spatial econometric methods to analyze the data, allowing us to explore the statistical relationships between economic models and regional science. Our analysis reveals a significant clustering of suicide mortality in some western provinces, as shown by the distribution map of suicide mortality by province. We also find that the unemployment rate has a significant impact on suicide mortality. These findings provide valuable information for developing effective prevention strategies. | ||
| کلیدواژهها | ||
| Geographic Analysis؛ Spatial Autocorrelation؛ Spatial Econometrics؛ Spillover Effect؛ Suicide Mortality | ||
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آمار تعداد مشاهده مقاله: 167 تعداد دریافت فایل اصل مقاله: 128 |
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