Poverty aversion or inequality aversion? The influencing factors of crime in China

Song, Zhenzhen; Yan, Taihua; Jiang, Tangyang

doi:10.1080/15140326.2020.1816130

Cited by 13 publications

(5 citation statements)

References 61 publications

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“…Earlier studies have indicated that crime rates often increase with population density (POP_DENSITY) (Song et al 2020). Crime can be understood as a conflict between people, so the greater the population density, the greater the conflict potential and the higher the crime risk (Song et al 2020). In our results, population density shows a negative impact on crime, although not significant.…”

Section: Resultsmentioning

confidence: 99%

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The Nexus between Crime Rates, Poverty, and Income Inequality: A Case Study of Indonesia

et al. 2023

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This study examines whether income inequality and poverty are determinants of crime rates across 34 provinces in Indonesia. Three indicators of income inequality and four poverty measures are tested to examine whether the dimension and degree of unequal welfare distribution are linked to crime occurrences. We use panel data from 2010 to 2019 with the Generalized Method of Moments (GMM) approach. The findings indicate that higher income levels and wider income inequality are associated with higher crime rates. Our first indicator of income inequality, non-food expenditure, has a larger impact on crime rates than our second and third indicators, i.e., the gap in food expenditure and the Gini ratio. Poverty is also positively associated with crime. The wider the poverty gap (a measure of poverty) and the severity index, the higher the deprivation levels among the poor, which lead to more crime. The significant and positive effect of poverty on crime rates, and the positive nexus between crime, income, and inequality suggest that Indonesia will face a higher crime risk as the country becomes increasingly more affluent. In such a scenario, policymakers can leverage education and investment (domestic and foreign) to minimize the crime rate. The government could also strengthen crime prevention programs, crime settlement systems, and policing in Indonesia, and raise the budget for social assistance.

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Section: Resultsmentioning

confidence: 99%

“…In contrast, western and southern Europe showed that inequality had no significant effect on crime rates (Kim et al 2020). In China, Song et al (2020) showed that consumption inequality is a major driver of crimes.…”

Section: Introductionmentioning

confidence: 97%

The Nexus between Crime Rates, Poverty, and Income Inequality: A Case Study of Indonesia

et al. 2023

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“…Faktor ekonomi negatif menjadi insentif kriminalitas berkurang hanya jika faktor ekonomi negatif tersebut diantisipasi. Contoh faktor ekonomi negatif yang diantisipasi adalah tingkat pengangguran (Buba et al, 2018;Ishak & Bani, 2017;Khan et al, 2015), tingkat kemiskinan (Diaw et al, 2014;Opeyemi Oyelade, 2019;Pare & Felson, 2014;Song et al, 2020), dan ketimpangan ekonomi (Buba et al, 2018;Goda & Torres García, 2019;Grover, 2013;Heimer, 2019;Lobonţ et al, 2017).…”

Section: Gambar 1 Produksi Barang Legal Dan Kriminalunclassified

“…Semakin sedikit jumlah penduduk miskin, semakin sedikit jumlah kriminalitas. Sebaliknya, semakin banyak penduduk miskin, semakin banyak jumlah kriminalitas (Diaw et al, 2014;Opeyemi Oyelade, 2019;Pare & Felson, 2014;Song et al, 2020). Kecuali pada satu daerah, semua daerah di provinsi Jawa Tengah telah mengantisipasi dan menurunkan jumlah penduduk miskin dengan rata-rata penurunan jumlah penduduk miskin antara 1,1% hingga 1,4%.…”

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Faktor Ekonomi Yang Mempengaruhi Penurunan Kriminalitas Di Provinsi Jawa Tengah: Analisis Mikroekonomi

Guritno¹

2022

JIK

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Crime had been decreased in Central Java province since 2015 to 2019. The purpose of this study is to map crime decreasing and to analyze factors causing crime decreasing. The methods are crime decreasing mapping and panel data modelling. The dependent variable is the amount of crime and the independent variables are the per capita income, the unemployment rate, the number of poor people and the Gini Ratio. Data of all variables covers all Central Java province regions from 2017 to 2019. The result shows that the crime decreasing has been mapped based on ranking for all of regions. The result also shows that Central Java Province has reduced the number of crimes by increasing the cost of crime resulting from poverty and inequality anticipation.

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“…The challenges and further questions of how society has a drive about a wide variety of choices have many possibilities that can maximize added value to such assistance or are oriented toward desires that approach irrational behavior. Efforts to distribute welfare and eliminate poverty are the solution in China, which assumes that if many people are rich, the government will be easier to run compared to a government dominated by the poor (Song et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Nudge on Choice Architecture: Effectiveness of Economic Recovery Policy and Irrational Behavior Predictions

Rahmawati¹

2022

J. Bina Praja

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Economic recovery policy in low-income communities is a priority of the government in tackling the tidal wave of the economy during the COVID-19 pandemic. This study aims to map the government's priorities and rapid action in its careful planning also implementation. The challenge is how society has a drive about a wide range of choices that have many possibilities, namely maximizing added value to the aid or fulfilling desires that approach irrational behavior. Therefore, encouragement is needed by every individual to choose choices that are in line with the government's policy objectives to eliminate or eliminate extreme poverty. The method used is an analysis of social science and behavioral science with circumplex strategy, which is further analyzed in correlation with quantitative methods using Kendall W. Test analysis and continued double regression. The results showed that encouragement had a positive and insignificant influence on the effectiveness of BLT policies; predictions of irrational behavior have a negative and insignificant influence on the effectiveness of BLT policies; And together, nudge and irrational predictably have a positive and significant influence on the effectiveness of Top Up BLT policies. Recommendations on the encouragement in improving the architecture of choice are the collaboration between the program implementation team and related stakeholders; irrational behavior predictions are anticipating irrational behavior tendencies by understanding the vulnerability of preconditions and conditions in the implementation of the program; the maintenance of the commitment of the central and local government and village government in enforcing regulations.

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Poverty aversion or inequality aversion? The influencing factors of crime in China

Cited by 13 publications

References 61 publications

The Nexus between Crime Rates, Poverty, and Income Inequality: A Case Study of Indonesia

The Nexus between Crime Rates, Poverty, and Income Inequality: A Case Study of Indonesia

Faktor Ekonomi Yang Mempengaruhi Penurunan Kriminalitas Di Provinsi Jawa Tengah: Analisis Mikroekonomi

Nudge on Choice Architecture: Effectiveness of Economic Recovery Policy and Irrational Behavior Predictions

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