Measuring public-involving economic crime: A case study in Beijing, China

Peng, Xinlin; Cheng, Liang; Gong, Mingyu

doi:10.1016/j.ijlcj.2021.100465

Cited by 5 publications

(6 citation statements)

References 28 publications

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“…In addition to formal finance, the informal financial sector contains higher systemic risks, allowing for complicated forms of fraud under the influence of what has been labelled a "casino culture" (Cheng, 2016). A recent study shows that causes of white collar crimes that "involve numerous and unspecified victims" in recent years include lax regulation and inadequate financial literacy (Peng et al, 2021).…”

Section: Financial Crimes In Chinamentioning

confidence: 99%

“…The barbaric growth of the P2P lending market was associated with diverse fraudulent practices. Fraudsters had to be capable of stealing or obtaining legitimate entities as vehicles to cover their unlawful practices (Peng et al, 2021). To avoid detection, offenders intentionally designed covert and complicated schemes utilizing novel concepts and strategies of finance that were too intricate for individual investors to discern.…”

Section: P2p Lending Fraud and Malpracticementioning

confidence: 99%

“…As systematic regulation of private financing was absent due to financial repression (Peng et al, 2021), the P2P lending industry was free from regulatory oversight (Shen, 2020). The loosely monitored regulatory environment allowing for the quick growth of the Chinese P2P lending market also created an increase in opportunities to engage in financial crime that was ferociously exploited by fraudsters (Jiang, 2014).…”

Section: Lax Regulationmentioning

confidence: 99%

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Crime and crisis in China’s P2P online lending market: a comparative analysis of fraud

Huang

Pontell

2022

Crime Law Soc Change

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White-collar criminality continues to be a significant issue in countries with differing levels of economic development. This paper provides a comparative analysis of white-collar crime and crises through an examination of the recent peer-to-peer (P2P) online lending crash in China. It considers criminological findings from major United States crises in light of China’s P2P online lending market failure through the lens of white-collar crime theory and research. The findings show that fraud was a main contributor to the P2P online lending crash and that various structural factors facilitated financial crimes that caused the collapse of the P2P online lending market. This study indicates that, similar to the U.S. experience, crime-facilitative environments allowed for endemic fraud in China’s online lending industry. It suggests that a primarily reactive approach to financial crime is less effective than a proactive system of compliance that includes more comprehensive and transparent financial regulation and law enforcement.

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Section: Financial Crimes In Chinamentioning

confidence: 99%

Section: P2p Lending Fraud and Malpracticementioning

confidence: 99%

Section: Lax Regulationmentioning

confidence: 99%

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Crime and crisis in China’s P2P online lending market: a comparative analysis of fraud

Huang

Pontell

2022

Crime Law Soc Change

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“…Dengan adanya tindak pidana baru di dalam bidang ilmu yang sedang berkembang tersebut menimbulkan gangguan provokasi, ketenangan dan kerap kali mengakibatkan kerugian materil maupun immateril bagi masyarakat luas, seperti pada beberapa kasus penelitian yang telah dilakukan oleh DeAngelo & Gee (2020); Diantara, Widiati, & Karma (2020); Flores (2016); Lane, dkk., (2020); Peng, Cheng, & Gong (2021). Ilmu kesehatan merupakan bidang ilmu yang kemajuannya sangat pesat di era ini.…”

Section: Pendahuluanunclassified

Sanksi Pidana oleh Tindak Pidana Mengedarkan Simpanan Farmasi Kosmetika Tanpa Izin Edar (Studi Kasus Putusan Pengadilan Negeri Denpasar No. Perkara 491/Pid.Sus/2018/PN DPS)

Pramesuari¹,

Sujana

Sudibya

2021

juinhum

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This study aims to identify and explain criminal sanctions for cosmetic producers or sellers who do not have this distribution license. The type of research used is normative legal research by analysing cases using the Denpasar District Court Decision Case Number 491/Pid.Sus /2018/ PN DPS. This study uses a statutory approach by examining all laws related to this case, conceptually by combining the opinions of experts so that it becomes the author's legal argument, and the case approach is by using a court decision. The results of the study show that there must be elements that indicate that a person has committed a criminal act, and in this writing there are 3 (three) elements that explain that the defendant committed a criminal act. Imposition by the criminal sanction of distributing cosmetic pharmaceutical deposits that do not obtain a distribution permit as regulated in Law Number 36 of 2009 concerning health is regulated in articles 197-201. In this case, the Panel of Judges considered Article 197, namely a maximum imprisonment of 10 (ten) years and a maximum fine of 1,000,000,000 (one billion rupiah). However, the defendant here does not need to undergo the sentence unless later there is another order from the Judge's decision that he has been guilty of committing a criminal act during the probation period has not ended.

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“…Various econometric techniques have been used in investigating the relationship between crimes and other economic and non-economic factors, including Arif et al (2017), Rahman and Prasetyo (2018), Hamid and Bitran (2021), Anser et al (2020), Schargrodsky and Freira (2021), Rosenfeld et al (2019), Eva (2021), and Peng et al (2021), among others. According to Hassan et al (2016), inflation is one of the determinants of crime and occurs when price levels increase continuously.…”

mentioning

confidence: 99%

Factors Affecting Crime Rate in Malaysia Using Autoregressive Distributed Lag Modeling Approach

Zulkiflee¹,

Borhan²,

Hadrawi³

2022

JSSH

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An increase in the crime rate may jeopardize a country’s development and economic growth. Thus, understanding the relationship between crime and a few determinants is ,crucial in sustaining the economic growth in Malaysia. The four determinants used in this research are economic growth, population, education level, and inflation rate. The data covers the period from 1984 to 2019, and Autoregressive Distributed Lag (ARDL) modeling approaches were used in this research. The findings showed that only the population has a significant positive impact on crime rates for long-term and short-term relationships. Meanwhile, economic growth and education level have a significant long-term positive effect on the crime rate. On the other hand, the inflation rate did not significantly impact the crime rate in long-term and short-term relationships. Interestingly, it was found in the findings that the crime rate and population showed a bidirectional causal relationship indicating that the past population values are useful for a better prediction of the current crime rate and vice versa. Thus, the Malaysian government should encourage people to cooperate with the enforcement authorities to deter crime for future environmental safety effectively

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Measuring public-involving economic crime: A case study in Beijing, China

Cited by 5 publications

References 28 publications

Crime and crisis in China’s P2P online lending market: a comparative analysis of fraud

Crime and crisis in China’s P2P online lending market: a comparative analysis of fraud

Sanksi Pidana oleh Tindak Pidana Mengedarkan Simpanan Farmasi Kosmetika Tanpa Izin Edar (Studi Kasus Putusan Pengadilan Negeri Denpasar No. Perkara 491/Pid.Sus/2018/PN DPS)

Factors Affecting Crime Rate in Malaysia Using Autoregressive Distributed Lag Modeling Approach

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