Which indicator of income distribution explains crime better? Evidence from China

Li, Jing; Wan, Guanghua; Wang, Chen; Xue-liang, Zhang

doi:10.1016/j.chieco.2018.10.008

Cited by 25 publications

(17 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the second group we find Li, Wang and Zhang [21], who argue that inequality and homicides do not have a positive or negative relationship, but there are other variables that do influence homicides significantly. As for Bailey [22], he attributes poverty and cultural issues of violence to being predictors of high homicide rates, but not to disadvantaged situations.…”

Section: Literature Reviewmentioning

confidence: 75%

“…In another study, poverty and inequality are positively related to the homicide rate [21]. An increase in the urban population leads to a reduction in the homicide rate, since the economic activity in these countries is based on the secondary and tertiary sector that takes place in large cities, so an increase in the population in cities is favourable to a certain extent.…”

Section: Discussion Of Resultsmentioning

confidence: 93%

See 1 more Smart Citation

Spatial Externalities of Income Inequality on Security in Latin America

et al. 2021

View full text Add to dashboard Cite

The aim of this research is to analyse the effect of income inequality on the homicide rate. The study is carried out in 18 Latin American countries for the period 2005–2018. The methodology used is the Generalized Least Squares (GLS) model and the data were obtained from World Development Indicators, the World Health Organization and the Inter-American Development Bank. Thus, the dependent variable is the homicide rate and the independent variable is income inequality. In addition, some control variables are included, such as: poverty, urban population rate, unemployment, schooling rate, spending on security and GDP per capita, which improve the consistency of the model. The results obtained through GLS model determine that inequality has a negative and significant effect on the homicide rate for high-income countries (HIC) and lower-middle-income countries (LMIC), whereas it is positive and significant for upper-middle-income countries (UMIC). On the other hand, the control variables show different results by group of countries. In the case of unemployment, it is not significant in any group of countries. Negative spatial dependence was found regarding spatial models such as: the spatial lag (SAR) and spatial error (SEM) method. In the spatial Durbin model (SDM), positive spatial dependence between the variables was corroborated. However, spatial auto-regressive moving average (SARMA) identified no spatial dependence. Under these results it is proposed: to improve productivity, education and improve the efficiency of security-oriented resources.

show abstract

Section: Literature Reviewmentioning

confidence: 75%

Section: Discussion Of Resultsmentioning

confidence: 93%

Spatial Externalities of Income Inequality on Security in Latin America

et al. 2021

View full text Add to dashboard Cite

show abstract

“…So does the unequal distribution of income within the same group affect crime as well? According to Li et al (2018), income distribution inequality has a Matthew effect. According to the statistical data, it is not difficult to find that the large gap of income distribution in China is not only reflected in different categories of residents, such as rural residents and urban residents mentioned above, but also reflected in the residents of the same dimension.…”

Section: Resultsmentioning

confidence: 99%

“…Some scholars have also studied whether China conforms to this conclusion. For example, Li, Wan, Wang, and Zhang (2018) used different indicators of distribution inequality to analyze the interaction between them and criminal acts. In fact, the conclusion that unequal distribution leads to crime has not been reached.…”

Section: Introductionmentioning

confidence: 99%

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

Song

Yan

Jiang

2020

Journal of Applied Economics

View full text Add to dashboard Cite

This paper aims to understand whether and how poverty aversion and inequality aversion affect the criminal behaviors. We analyze the relationship between the three variables through a theoretical model and an empirical model. The panel data of 27 provincial-level regions in China were collected for testing the hypothesis. The investigation revealed: 1. Inequality significantly increases crime, while the poverty reduction does not reduce crime. 2. The widening consumption gap between urban and rural residents may be the cause of crime, the effect is more significant for visible consumer goods. 3. The excessive consumption difference between the rich and ordinary people may lead to crime. 4. The increasing inequality of distribution between the state and the people has a positive impact on crime too. The research shows that the Chinese residents are not affected by poverty but by inequality in the choice of crime.

show abstract

“…Fifth, enlarged gaps mean a more unstable sociopolitical environment for economic activities (Benhabib and Rustichini 1996). Finally, rising inequality adversely affects crime rate and health (Li et al 2019;Yao et al 2019). Empirically, Dabla-Norris et al (2015) find that a 1 percentage point rise in the income share of the top 20 per cent lowers GDP growth by 0.08 percentage points in the following five years.…”

Section: Costs Of Inequalitymentioning

confidence: 99%

Asian Transformations

2019

View full text Add to dashboard Cite

Gunnar Myrdal published his magnum opus, Asian Drama: An Inquiry into the Poverty of Nations, in 1968. He was deeply pessimistic about development prospects in Asia. The fifty years since then have witnessed a remarkable social and economic transformation in Asia – even if it has been uneven across countries and unequal between people – that would have been difficult to imagine, let alone predict at the time. This book analyses the fascinating story of economic development in Asia spanning half a century. The study is divided into three parts. The first part sets the stage by discussing the contribution of Gunnar Myrdal, the author, and Asian Drama, the book, to the debate on development then and now, and by providing a long-term historical perspective on Asia in the world. The second part comprises cross-country thematic studies on governments, economic openness, agricultural transformation, industrialization, macroeconomics, poverty and inequality, education and health, employment and unemployment, institutions and nationalisms, analysing processes of change while recognizing the diversity in paths and outcomes. The third part is constituted by country-studies on China, India, Indonesia and Vietnam, and sub-region studies on East Asia, Southeast Asia and South Asia, highlighting turning points in economic performance and analysing factors underlying success or failure. This book, with in-depth studies by eminent economists and social scientists, is the first to examine the phenomenal changes which are transforming economies in Asia and shifting the balance of economic power in the world, while reflecting on the future prospects in Asia over the next twenty-five years. It is a must-read.

show abstract

Which indicator of income distribution explains crime better? Evidence from China

Cited by 25 publications

References 48 publications

Spatial Externalities of Income Inequality on Security in Latin America

Spatial Externalities of Income Inequality on Security in Latin America

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

Asian Transformations

Contact Info

Product

Resources

About