GDP growth vs. criminal phenomena: data mining of Japan 1926–2013

Li, Xingan; Joutsijoki, Henry; Laurikkala, Jorma; Juhola, Martti

doi:10.1007/s00146-017-0722-7

Cited by 4 publications

(1 citation statement)

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“…Ludwig et al (2001) discuss the relationship between poverty levels and violent crime and show that giving families the opportunity to move to lower-poverty neighbourhoods can reduce violent crime among youth. Li et al (2017) explore the weak correlation between changes in crime rates and changes in GDP growth rates. Andrade and Cifuentes (2021) illustrate that general crime has a negative effect on real estate prices, but the magnitude of this effect varies by crime type.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Wang¹

2022

BCPEP

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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.

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Section: Literature Reviewmentioning

confidence: 99%

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

Wang¹

2022

BCPEP

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Detection of genetic cardiac diseases by Ca2+ transient profiles using machine learning methods

Juhola

Joutsijoki

Penttinen

et al. 2018

Sci Rep

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Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) have revolutionized cardiovascular research. Abnormalities in Ca2+ transients have been evident in many cardiac disease models. We have shown earlier that, by exploiting computational machine learning methods, normal Ca2+ transients corresponding to healthy CMs can be distinguished from diseased CMs with abnormal transients. Here our aim was to study whether it is possible to separate different genetic cardiac diseases (CPVT, LQT, HCM) on the basis of Ca2+ transients using machine learning methods. Classification accuracies of up to 87% were obtained for these three diseases, indicating that Ca2+ transients are disease-specific. By including healthy controls in the classifications, the best classification accuracy obtained was still high: approximately 79%. In conclusion, we demonstrate as the proof of principle that the computational machine learning methodology appears to be a powerful means to accurately categorize iPSC-CMs and could provide effective methods for diagnostic purposes in the future.

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