A Case Study of the Crime Rate in Chinese Mainland and Hong Kong

Authors

  • Yitian Wang

DOI:

https://doi.org/10.54691/bcpep.v7i.2613

Keywords:

Crime Rate; Fixed Effect; Major Events.

Abstract

A series of studies have explored the relationship between crime rates and socioeconomic factors. Few researchers, however, have made an empirical analysis of the crime rate in China over the past 30 years. In terms of the data spanning 30 years involving five probable factors: Gross Domestic Product, Consumer Price Index, employment rate, divorce rate and educational rate, I find that the change in crime rates is mainly correlated with the change in education level and unemployment rate in Chinese mainland and Hong Kong. But the growth of the gross domestic product, which is a macroeconomic indicator, may not be as important as one might think in the change in crime rate. In particular, I also look at the impact of major events on crime rates -- the return of Hong Kong and the promulgation of the Criminal Law Amendment in 1997 and found that the Criminal Law Amendment had a positive impact on the crime rate in the Chinese mainland. This paper conducts an empirical modelling analysis of panel data from 1990 to 2020 in Chines mainland and Hong Kong from different social systems, measures the impact of different factors on the crime rate, and tries to find the most effective way to reduce the crime rate for China. Through the analysis, it can be found that in the Chinese mainland and Hong Kong, the most effective way to reduce the crime rate is not to develop the economy but to improve the overall level of education.

Downloads

Download data is not yet available.

References

Aidis, R., Estrin, S., & Mickiewicz, T. M. (2012). Size matters: entrepreneurial entry and government. Small Business Economics, 39(1), 119–139. https://doi.org/10.1007/s11187-010-9299-y.

Andrade, N., & Cifuentes, A. (2021). Crime and (price) punishment in the Chilean real estate market: the case of Santiago. Crime, Law, and Social Change, 76(5), 497–523. https://doi.org/10.1007/s10611-021-09939-0.

Baliamoune-Lutz, M., & Garello, P. (2014). Tax structure and entrepreneurship. Small Business Economics, 42(1), 165–190. https://doi.org/10.1007/s11187-013-9469-9.

Bankston, C. L. (1998). Youth gangs and the new second generation: A review essay. Aggression and Violent Behavior, 3(1), 35–45. https://doi.org/10.1016/S1359-1789(97)00010-4.

Berthelon, M. E., & Kruger, D. I. (2011). Risky behavior among youth: Incapacitation effects of school on adolescent motherhood and crime in Chile. Journal of Public Economics, 95(1), 41–53. https:// doi.org/ 10.1016/j.jpubeco.2010.09.004.

Britt, C. L. (1994). Crime and Unemployment among Youths in the United States, 1958-1990: A Time Series Analysis. The American Journal of Economics and Sociology, 53(1), 99–109. https:// doi.org/ 10.1111/ j.1536-7150. 1994. tb02680. x.

Cameron, A. C., & Trivedi, P. K. (2005). Microeconometrics : methods and applications. Cambridge ;: Cambridge University Press.

Chamlin, M. B., & Cochran, J. K. (2005). Ascribed Economic Inequality and Homicide Among Modern Societies: Toward the Development of a Cross-National Theory. Homicide Studies, 9(1), 3–29. https:// doi.org/ 10.1177/1088767904271432.

Islam, A. (2014). Economic growth and crime against small and medium sized enterprises in developing economies. Small Business Economics, 43(3), 677–695. https://doi.org/10.1007/s11187-014-9548-6.

Jianjun Bai. (2010). Research on the relationship between crime and penalty based on the data of China's crime rate. Social Sciences in China, (02), 144-159+223.

Journal of Quantitative Criminology, 18(4), 377–395. https://doi.org/10.1023/A:1021169610837.

Knoester, C., & Haynie, D. L. (2005). Community Context, Social Integration Into Family, and Youth Violence. Journal of Marriage and Family, 67(3), 767–780. https://doi.org/10.1111/j.1741-3737. 2005. 00168.x.

LiPuma, J. A., Newbert, S. L., & Doh, J. P. (2013). The effect of institutional quality on firm export performance in emerging economies: a contingency model of firm age and size. Small Business Economics, 40(4), 817–841. https://doi.org/10.1007/s11187-011-9395-7.

Li, X., Joutsijoki, H., Laurikkala, J., & Juhola, M. (2017). GDP growth vs. criminal phenomena: data mining of Japan 1926–2013. AI & Society, 33(2), 261–274. https://doi.org/10.1007/s00146-017-0722-7.

Lochner, L., & Moretti, E. (2004). The effect of education on crime: Evidence from prison inmates, arrests and self-reports. The American Economic Review, 94(1), 155–189. https://doi. org/10. 1257/ 00028 2804 322970751.

Ludwig, J., Duncan, G. J., & Hirschfield, P. (2001). Urban Poverty and Juvenile Crime: Evidence from a Randomized Housing-Mobility Experiment. The Quarterly Journal of Economics, 116(2), 655–679. https://doi.org/10.1162/00335530151144122.

Marc Ouimet. (2000). Aggregation bias in ecological research: How social disorganization and criminal opportunities shape the spatial distribution of juvenile delinquency in Montreal. Canadian Journal of Criminology and Criminal Justice, 42(2), 135–.

Messner, S. F., Raffalovich, L. E., & Shrock, P. (2002). Reassessing the Cross-National Relationship between Income Inequality and Homicide Rates: Implications of Data Quality Control in the Measurement of Income Distribution.

Pare, P.-P., & Felson, R. (2014). Income inequality, poverty and crime across nations. The British Journal of Sociology, 65(3), 434–458. https://doi.org/10.1111/1468-4446.12083.

Sampson, R. J. (1987). Urban Black Violence: The Effect of Male Joblessness and Family Disruption. The American Journal of Sociology, 93(2), 348–382. https://doi.org/10.1086/228748.

Downloads

Published

2022-11-07

How to Cite

Wang, Y. (2022). A Case Study of the Crime Rate in Chinese Mainland and Hong Kong. BCP Education & Psychology, 7, 90–97. https://doi.org/10.54691/bcpep.v7i.2613