{"title":"印度尼西亚经济不平等和犯罪的地理分布：探索性空间数据分析和空间计量经济学方法","authors":"Putu Angga Widyastaman, Djoni Hartono","doi":"10.1007/s12061-023-09556-5","DOIUrl":null,"url":null,"abstract":"<div><p>Indonesia has serious crime issues. Since there are pieces of evidence that economic inequality may cause crime incidences, various studies have been carried out to verify the relationship. However, very few of these studies considered the geographical pattern and spatial linkages between crime and its determinants, particularly inequality. This paper examines the geographical pattern of economic inequality and crime as well as local and spillover effects of within and across-districts/cities inequality on the crime rate. Using data from 483 Indonesian districts/cities from 2010 to 2020, this study employed local indicators of spatial association (LISA) analysis to examine geographical patterns between economic inequality and crime and the panel spatial Durbin model to investigate the spatial effects, including local and spillover effects. LISA analysis yielded geographic-based information regarding clusters of economic inequality and crime, thus providing insight into the spatial pattern of those variables. Furthermore, panel spatial Durbin results have shown that using property and other crime rate as the dependent variable, strong positive local and spillover effect of within-region and across-region economic inequality on crime rates was observed.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"17 2","pages":"547 - 571"},"PeriodicalIF":2.0000,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Geographic Distribution of Economic Inequality and Crime in Indonesia: Exploratory Spatial Data Analysis and Spatial Econometrics Approach\",\"authors\":\"Putu Angga Widyastaman, Djoni Hartono\",\"doi\":\"10.1007/s12061-023-09556-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Indonesia has serious crime issues. Since there are pieces of evidence that economic inequality may cause crime incidences, various studies have been carried out to verify the relationship. However, very few of these studies considered the geographical pattern and spatial linkages between crime and its determinants, particularly inequality. This paper examines the geographical pattern of economic inequality and crime as well as local and spillover effects of within and across-districts/cities inequality on the crime rate. Using data from 483 Indonesian districts/cities from 2010 to 2020, this study employed local indicators of spatial association (LISA) analysis to examine geographical patterns between economic inequality and crime and the panel spatial Durbin model to investigate the spatial effects, including local and spillover effects. LISA analysis yielded geographic-based information regarding clusters of economic inequality and crime, thus providing insight into the spatial pattern of those variables. Furthermore, panel spatial Durbin results have shown that using property and other crime rate as the dependent variable, strong positive local and spillover effect of within-region and across-region economic inequality on crime rates was observed.</p></div>\",\"PeriodicalId\":46392,\"journal\":{\"name\":\"Applied Spatial Analysis and Policy\",\"volume\":\"17 2\",\"pages\":\"547 - 571\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2023-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Spatial Analysis and Policy\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s12061-023-09556-5\",\"RegionNum\":4,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Spatial Analysis and Policy","FirstCategoryId":"90","ListUrlMain":"https://link.springer.com/article/10.1007/s12061-023-09556-5","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
Geographic Distribution of Economic Inequality and Crime in Indonesia: Exploratory Spatial Data Analysis and Spatial Econometrics Approach
Indonesia has serious crime issues. Since there are pieces of evidence that economic inequality may cause crime incidences, various studies have been carried out to verify the relationship. However, very few of these studies considered the geographical pattern and spatial linkages between crime and its determinants, particularly inequality. This paper examines the geographical pattern of economic inequality and crime as well as local and spillover effects of within and across-districts/cities inequality on the crime rate. Using data from 483 Indonesian districts/cities from 2010 to 2020, this study employed local indicators of spatial association (LISA) analysis to examine geographical patterns between economic inequality and crime and the panel spatial Durbin model to investigate the spatial effects, including local and spillover effects. LISA analysis yielded geographic-based information regarding clusters of economic inequality and crime, thus providing insight into the spatial pattern of those variables. Furthermore, panel spatial Durbin results have shown that using property and other crime rate as the dependent variable, strong positive local and spillover effect of within-region and across-region economic inequality on crime rates was observed.
期刊介绍：
Description
The journal has an applied focus: it actively promotes the importance of geographical research in real world settings
It is policy-relevant: it seeks both a readership and contributions from practitioners as well as academics
The substantive foundation is spatial analysis: the use of quantitative techniques to identify patterns and processes within geographic environments
The combination of these points, which are fully reflected in the naming of the journal, establishes a unique position in the marketplace.
RationaleA geographical perspective has always been crucial to the understanding of the social and physical organisation of the world around us. The techniques of spatial analysis provide a powerful means for the assembly and interpretation of evidence, and thus to address critical questions about issues such as crime and deprivation, immigration and demographic restructuring, retailing activity and employment change, resource management and environmental improvement. Many of these issues are equally important to academic research as they are to policy makers and Applied Spatial Analysis and Policy aims to close the gap between these two perspectives by providing a forum for discussion of applied research in a range of different contexts
Topical and interdisciplinaryIncreasingly government organisations, administrative agencies and private businesses are requiring research to support their ‘evidence-based’ strategies or policies. Geographical location is critical in much of this work which extends across a wide range of disciplines including demography, actuarial sciences, statistics, public sector planning, business planning, economics, epidemiology, sociology, social policy, health research, environmental management.
FocusApplied Spatial Analysis and Policy will draw on applied research from diverse problem domains, such as transport, policing, education, health, environment and leisure, in different international contexts. The journal will therefore provide insights into the variations in phenomena that exist across space, it will provide evidence for comparative policy analysis between domains and between locations, and stimulate ideas about the translation of spatial analysis methods and techniques across varied policy contexts. It is essential to know how to measure, monitor and understand spatial distributions, many of which have implications for those with responsibility to plan and enhance the society and the environment in which we all exist.
Readership and Editorial BoardAs a journal focused on applications of methods of spatial analysis, Applied Spatial Analysis and Policy will be of interest to scholars and students in a wide range of academic fields, to practitioners in government and administrative agencies and to consultants in private sector organisations. The Editorial Board reflects the international and multidisciplinary nature of the journal.
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