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This paper examines the role of institution in the combating crime in India. This study also assesses institutions for controlling property crime in India in the post-reform era.

Crime and socio-economic data are taken from National Crime Record Bureau and the Reserve Bank of India, respectively. Twenty major Indian states are selected for the study purpose for the period of 1994–2019. Fixed effect panel data technique is used for analysis purpose.

Property crime rate declines with economic growth, while it increases with financial development. Findings of fiscal policy instruments are different. Own tax is positively associated with property crime in India, while non-tax fiscal instruments such as fine, penalty, and so on, are inversely related to it. Property crime rate is inversely related to institutional factors like charge sheet and conviction rate.

Further research is needed for other crimes in India. State-level data are used here for analysis purpose; however, spatial or cluster analysis techniques might provide more insights for combating crimes in India.

This study suggests that economic growth and fiscal instrument along with institutional development are essential to control property crime in India.

Government should take steps to improve the law-and-order system to control property crime across states.

Impact of non-tax fiscal instrument reduces property crime while that of own tax is increases it in India. These findings are unique and added certain insight in the study. Institutional roles are captured its performances like charge sheet and convict rate, which are significantly reduce property crime in Indian states. Least square dummy variable model is applied to capture individual state effects.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2023-0063

In addition to being a violation of human rights, the practice of child labor can be related to criminality against young people. In view of this, the hypothesis tested in this article was that child labor aggravates youth homicide through educational level.

This study used annual data for the 26 states plus the Federal District for the period 2001 to 2014. To do so, the authors used the iterated feasible generalized least squares (IFGLS) estimator under the seemingly unrelated regressions (SUR) model.

The results showed that child labor positively affects the homicide of young people, showing education as a transmission channel through which the effect is materialized. The general conclusion, given this, that work is an alternative for children not to enter the world of crime due to its socializing character, cannot be sustained.

This evidence provides input to the formulation of policies and programs to eradicate or slow child labor. In addition to the social and economic rise of individuals, it is important to emphasize the role of education (human capital) in explaining economic growth.

So far, there is no record of national research that sought to empirically assess the effect of child labor on crime, in particular, on the homicide of young people, considering education as a transmission channel, and this assessment is the contribution of the present study to the economic literature on crime.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2023-0163

This paper aims to examine the present Sri Lankan political-economic crisis and its connection to corruption. The paper will discuss the autocratic rule, elite domination of state extractive systems, which have been moulded and configured by Sri Lanka’s political environment over decades. Elite capture has become a significant factor. Sri Lanka’s authoritarian model exercised by Gotabaya Rajapaksa reduced competitive mode and shifted towards a monopolistic corruption structure, centralising on the first family and military rule where powerful elites supported the model. The paper attempts to find the connection between dysfunctional political model and economic crimes committed through several case studies.

The paper discusses five case studies using qualitative analysis using secondary data. The insider trading case study is discussed with quantitative data. Several political and social analyses were carried out with primary data captured from field research by the author.

Sri Lankan economic crisis was triggered because of high-level corruption. The autocratic model introduced by the political authority failed to fight corruption. Transnational mechanisms will fail if there is no credibility and commitment in their own respective nations such as in the USA. External factors such as China in Sri Lanka did have an impact for elite capture.

This study is limited only to five case studies. Transnational mechanism and recommendations require a lengthy study. Only one external factor was assessed because of its significance; there could be other external factors for elite capture.

This study has limited access to capture primary data because of sensitivity during a heavy autocratic regime. Because of state and self-censorship, secondary data had to be tested.

Economic crisis in Sri Lanka is an example to many developing nations fighting corruption. The autocratic family rule supported by external forces crippled the state anti-corruption processes. Economic crime is a key driver for poverty and economic crisis.

This is a unique paper that examines Sri Lanka’s present economic crisis and its political model and economic crime. The paper will discuss transnational mechanisms for anti-corruption and attempt to apply to the Sri Lankan crisis.

The purpose of this research is to analyze the role of gender in the commission of white collar crimes and investigate it in five countries: Norway, Portugal, America, India and Iran.

Descriptive analytical method is used in this article.

A total of five observations were examined about the rank and percentage of women's participation in white-collar crimes, namely, from Norway (rank 3, 7%), USA (rank 26, 5%), Portugal (29th rank, 13%), India (rank 135, 11%) and Iran (rank 143, 5%). As is visually obvious, there seems to be no relationship between the level of gender equality and the percentage of women involved in white-collar crimes. However, according to Hobbs, in most research, the issue of gender and its effect on the occurrence of white-collar crimes have not been addressed, but by using the limited statistics and limited information available, it can be concluded that a small number of women have committed this crime. According to global crime reports, only 15 out of 200 prosecutions for white-collar crimes involve women.

To the best of the authors’ knowledge, this article is original and has been submitted only to this journal and has not been submitted to another journal at the same time.

Socioeconomic development needs quality governance to provide and protect property rights and other economic means. In this regard, the current study examines the symmetric and asymmetric effect of composite governance index, unemployment rate (UR) and consumer price index on the crime rate (CR) in Pakistan.

The current study uses time series data (1996–2020) on CR, composite governance index, UR and consumer price index. In this study, the authors first constructed a composite governance index from six governance indicators using the principal component analysis (PCA) method. After that, the short-run and long-run symmetric and asymmetric effects were estimated through linear and non-linear autoregressive distributed lag (ARDL) models, respectively.

The authors found short-run and long-run symmetric and asymmetric effects of governance, unemployment and consumer prices (CPI) on the CR in Pakistan. For asymmetric effects, the findings show that high-quality governance diminishes and poor governance accelerates committed crimes in Pakistan. Interestingly, the asymmetric unemployment effect suggests that criminal behavior diminishes when people find job opportunities and do not adopt criminal behavior even if people lose employment. In other words, if unemployment decreases CR will fall, and when unemployment increases, the CR may not increase. Lastly, rising product prices lead to criminal behavior, while falling prices do not help to diminish the CR in Pakistan.

The study provides the first empirical evidence of symmetric and asymmetric responses of CR toward composite governance index, UR and consumer price index.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2022-0625

This paper empirically investigates the relationship between financial availability and crime by measuring it across five dimensions: banking, securities, insurance, private lending and digital inclusive finance.

The study utilizes 2011–2017 data from prefecture-level cities as a representative sample. Moreover, these findings remain robust after addressing endogeneity through the use of the historical distance between cities and the railroad network as an instrumental variable.

The findings demonstrate a significant negative relationship between financial accessibility and crime rates. Heterogeneity exists in the inhibitory effect of different types of financial accessibility on crime, with banking finance exhibiting a stronger inhibitory effect compared to private lending. Areas affected by natural disasters and infectious diseases exhibit a stronger inhibitory effect of financial accessibility on crime rates, particularly in areas with severe shocks of natural disasters and epidemics. This effect is attributed to the low financing threshold and easy access to private lending, which plays a more effective role than bank finance when people face extreme risks.

There should be stricter regulations imposed on private lending markets and the introduction of more rational legislation aimed at guiding a healthy development within these markets; such measures serve as effective and complementary means for individuals from all walks of life to access credit financing.

The regulation of financial resources by the government should always prioritize ensuring the accessibility of financial policies to cater to the needs of the majority population.

This study is for the first time in an emerging economy context, the causal relationship between financial accessibility and crime. To provide a more comprehensive measure of financial accessibility in a region, this paper proposes a five-dimensional methodology.

Crime increased in Spain during the period of 2017–2019 after a decade of decline. This coincides with severe housing deprivation multiplying by three in just four years, affecting 3.4% of the population in 2020. However, no research has been found that analyzes whether this deterioration of the physical conditions of housing and its environmental elements has impacted the level of crime in Spain. This study aims to analyze how housing deprivation affects crime in the Spanish context.

For this purpose, different items that are considered by Eurostat as elements of housing deprivation are used. The difference generalized method of moments estimator is used for 16 Spanish regions that comprises the period from 2013 to 2019.

The results suggest that certain structural and environmental elements of housing are positively associated with crime: space (0.5% and 0.4%) and high housing expenditure (0.4% and 0.5%) are positively correlated with the two dependent variables; the lack of light and overcrowding stand out as they establish a positive and statistically significant association with four out of the six analyzed crime categories; the absence of lighting effect reaches up to 1.8% and 1.7% in the case of violent robberies and vehicle theft, respectively. Finally, pollution is negatively associated with robbery with violence (−1.9%), theft (−0.7%) and robbery with force (−0.5%).

To the best of the author’s knowledge, this is the first study that examines whether this deterioration of the physical conditions of housing has impacted the level of crime in Spain. It is also pioneering at the European level by using nonmonetary dimensions of inequality such as housing.

The purpose of this study is to compare women committing pink-collar and red-collar crimes in Iran. In the current study, the pink-collar crime, studying murder by women as red-collar criminals and the root of “pink-collar crime” is considered the related terms.

Descriptive analytical method is used in this article.

It was previously thought that white-collar crime has no victim, and it is not necessary to imprison the criminal or consider other punishments. There is no recognized solution for such crimes, as opposed to the legislature and the government’s efforts, and therefore, consumers, government, employees, companies and executives cannot realize these crimes or be aware of them. Unfortunately, recognizing red-collar crimes is impossible using the old, outdated set of laws, and new laws are required. The phenomenon of white- and red-collar crime is endless and must always be in the attention of society to prevent its dangerous consequences for the community.

This article is original and has been submitted only to this journal and has not been submitted to another journal at the same time.

The specific objective of the study is to investigate the presence of natural rate of crime rates in selected emerging economies by using panel unit roots. The majority of the literature examines the issue using conventional unit root tests in a country-specific context. Meanwhile, there is no panel unit root investigation has been undertaken considering both cross-sectional dependence (CD) and structural changes.

As a result, this study is to fill the aforementioned gap and validate the natural rate of crime rates for 10 countries by using a Fourier panel unit root test. The advantage of the test is that structural shifts are modelled as gradual or smooth changes with a Fourier approximation, and it also accounts cross-sectional dependency. Thus, the Fourier panel unit root test may have better performance in capturing potential changes in the nature of data.

The result of the conventional unit roots test shows evidence of the hysteresis effect in crime, as it stands does not adequately account for smooth transitions or breaks. On contrary, the Fourier panel unit root test confirms the natural rate hypothesis in crime rates. The present results highlight the detrimental effects of crime cannot be abated by short-run deterrence policies.

Contrary to previous studies, the theoretical implications of the study imply that the empirical models consider the dynamic nature of crime rates should account for natural rate properties instead of the hysteresis assumption.

In the case of money laundering (ML) originating from the predicate crime of corruption, law enforcers find it difficult to prove all or the existence of a predicate crime on assets that produce assets. This paper aims to analyze ML in corruption cases in Indonesia.

This research uses qualitative descriptive methods. This research discusses the law enforcement of corruption which coincides with the crime of ML.

New findings were discovered where against the corruption case which was carried out concurrently with the crime of money laundering, the value of which was Rp. 1bn and above and has been handled by investigators from the Corruption Eradication Commission (KPK), so the prosecution process is carried out by the public prosecutor from the KPK to continue the trial to the Corruption Court. With respect to cases of criminal acts of corruption, which were carried out concurrently with ML crimes, the value of which was Rp. 1bn and below and had been handled by the prosecutor’s investigators from the start, the prosecution process was carried out by the public prosecutor from the prosecutor’s office to continue the trial to the corruption court.

To the best of the authors’ knowledge, this is the first study to use normative perspective on ML in corruption cases (white-collar crime). In contrast to previous studies that take fraud in general as an object of research, researchers are now interested in focusing more research on detecting suspected ML crimes: a case study on corruption cases in Indonesia.