Search results

This paper aims to answer the following two research questions: Do corruption cases present different features before and since the new administration in China? How are criminal penalties affected by these corruption features?

The investigation is based on the online disclosure of 269 state corruption audits and their consequences, which have been made public by China’s National Audit Office since 2011. By manual coding, these official reports were analyzed, and an appropriate-sized sample of corruption cases was chosen. The authors then adopted Welch’s t-test and regression model methods to test the research hypotheses relevant to the two research questions.

The authors find that larger embezzlement or bribery amounts and more organizational corruption cases have been detected and punished since the anti-corruption campaign was launched by the new administration. They also conclude that significantly tougher criminal penalties were given to corruption cases involving large monetary amounts, that bribery cases were more harshly punished compared to other occupational crimes and that individual perpetrators received tougher criminal penalties than organizational criminals. In addition, the authors observe a trend that criminal penalties for corruption have been increasingly harsher in recent years.

The limitations of this study are quite clear as the Chinese corruption cases in this sample only include state corruption audit cases and does not refer to high-profile corruption cases investigated by the Central Commission of Discipline Inspection. However, this study suggests that state corruption audit results are a good research sample, which can be used to extend empirical tests to archival data acquired from state audit practices and can encourage more studies on public sector auditing and occupational financial crime.

State corruption audits can be an effective approach to successful anti-corruption campaigns, and the conclusions can be useful to policy makers and legislators in China and other developing countries.

This paper bridges some gaps in the existing financial crime literature. First, this study on corruption features is located within the context of a political administrative change; second, the state audit is highlighted as a supervising agency in the anti-corruption campaign; and third, the authors’ contribution adds to the empirical testing of data sets of state corruption audits within the existing financial crime literature.

This paper aims to identify the direct impact of fund style drift on the risk of stock price collapse and the intermediary mechanism of financial risk, so as to better protect the interests of minority investors.

This paper takes all the non-financial companies on the Chinese Growth Enterprise Market from 2011 to 2020 as study object and selects securities investment funds of their top ten circulation stocks to study the relationship between fund style drift and stock price crash risk.

Fund style drift is likely to add stock price crash risk. Financial risk is positively correlated with stock price crash risk. Fund style drift affects stock price crash risk via the mediating effect of financial risk, and fund style drift and financial risk have a marked impact on the stock price crash risk of non-state enterprises, yet a non-significant impact on that of state-owned enterprises.

This paper links fund style drift with stock price crash risk in an exploratory manner and enriches the study perspectives of relationship between institutional investors’ behaviors and stock price crash risk, thus enjoying certain academic value. On the one hand, it furnishes a new approach to the academic frontier issue concerning financial risk and stock price crash risk, and proves that financial risk is positively correlated with stock price crash risk. On the other hand, it regards financial risk as a mediating variable of fund style drift for stock price crash risk and further explores different influencing mechanism of institutional investors’ behaviors.

Following social disorganization theory and the process-based model of policing, the present study aims to examine how characteristics of communities are meaningful in shaping citizens' willingness to work with the police in urban China.

Based on survey data from Shanghai, China, the study adopts a generalized hierarchical linear modeling (GHLM) approach to examine the effects of both individual- and neighborhood-level predictors on the outcome, while taking into consideration the unobserved additional neighborhood-level variations.

Results suggest potential need of the process-based model to be modified in a Chinese context in that while police presence matters, measures on legitimacy are nonsignificant in shaping willingness to help the police, after controlling for neighborhood characteristics. More importantly, collective efficacy at the neighborhood level is related positively to residents' willingness to work with the police. Constant attention should be paid to the promotion of a collaborative and collectively caring environment, which can contribute to better coordination with the police, and greater willingness to be part of the larger cause of public safety.

The paper advances the scholarship with multi-level modeling and the role of communities in building stronger relationship with the police.

Police knowledge of and familiarity with human trafficking determine whether a victim is referred to services or arrested as an offender, along with other implications. Both field experience and training may affect how police officers recognize and respond to human trafficking scenarios. However, recent research suggests the relationship between officer experience and their ability to identify human trafficking is more nuanced. The purpose of this study is to explore whether experience, training or both are preferable to correctly identifying cases of human trafficking.

To do so, 495 police officers from a large Pennsylvania agency were surveyed about their perceptions of human trafficking. Officer demographics and levels of experience and training were compared to their responses to six human trafficking scenario questions.

Bivariate and logistic regression analyses conclude that training, but not experience working human trafficking cases, is associated with an increase in the likelihood of officers correctly identifying scenarios of human trafficking. These findings are discussed in light of the literature.

This study extends previous research by comparing the influence of training and experience investigating cases of human trafficking.

The purpose of this paper is to assess the importance of group position and consciousness in predicting people’s perceptions of police fairness in China.

This study used survey data collected from 1,095 respondents in Shanghai. Multivariate regression was used to analyze the effects of group positions and group consciousness variables on perceived police fairness, controlling for personal, experiential and neighborhood factors.

Regardless of their own hukou status, individuals who live in high migrant areas expressed less favorable attitudes toward police fairness. Meanwhile, people who displayed greater degrees of sensitivity to bias in law rated police fairness less favorably, whereas people who expressed higher levels of moral alignment with the law and belief in no choice but to obey the police rated police fairness more favorably. Lower levels of neighborhood disorder and higher degrees of cohesion were also associated with more positive evaluations of police fairness.

The authors’ measure of migrant concentration was constructed based on respondents’ own assessments of this neighborhood feature. Future studies should consider using objective measures to supplement the construction of migrant concentration variables. The authors’ group consciousness variables are limited as they are general, non-residential status specific and only capture part of the traditionally conceptualized variable of group consciousness. Future study should employ better-worded items that can tap precisely into people’s various dimensions of social consciousness based on their group status.

Training officers has to give a high priority to the principles of both procedural and distributive justice, and implement performance and evaluation policies that support fair and responsive police behavior, particularly during situations where citizens report crime to and seek help from the police.

Despite their high relevance, variables reflecting group position have received marginal attention in previous research on public evaluations of the police in China. This study represents a first attempt to examine how the interactions between residence status and the level of neighborhood migrant concentration influence Chinese attitudes toward police fairness.

With more demand-driven innovation activities, manufacturers must proactively engage in information sharing activities with their customers for better innovation performance. This study aims to inquire into the impacts of information sharing activities between manufacturers and customers (including information system usage and information content sharing) on manufacturers’ innovation performance and considers interfirm justice (including distributive justice, procedural justice and interactional justice) as information sharing antecedents.

The social exchange theory is applied to develop the conceptual model. The authors examine the conceptual model with the structural equation modeling approach using data collected from 213 Chinese manufacturers.

Interactional justice promotes information system usage. Both interactional justice and procedural justice increase information content sharing, while distributive justice decreases it. Information content sharing directly improves innovation performance and fully mediates the relationship between information system usage and innovation performance.

This research enriches empirical studies on justice-information sharing relationships by systematically investigating the impacts of three types of justice on different information sharing activities. It also adds to the application of social exchange theory in the practices of interfirm justice and information sharing. Besides, it probes into influencing mechanisms of different information sharing activities, information system usage and information content sharing, on innovation performance. The findings can guide firms to implement interfirm justice and information sharing practices for superior innovation performance.

This study aims to propose a rapid optimization design framework for the electric propulsion system of tiltrotor aircraft with a comprehensive set of propeller and motor parameters.

To enhance the prediction accuracy, the authors have developed correction models for both the propeller and motor, i.e. the propeller performance model is based on blade element momentum theory, with the Reynolds-averaged Navier–Stokes method to obtain blade airfoil aerodynamic data, and the motor performance model incorporates an experimentally corrected second-order equivalent circuit model. Using Bayesian optimization algorithms, the authors have addressed the mixed-integer nonlinear programming design problem, which includes discrete variables such as the number of propeller blades and blade airfoil type, as well as continuous variables such as propeller diameter, pitch angle, chord length distribution, twist angle distribution, initial motor resistance, no-load current and KV value.

To estimate the aircraft-level performance, the authors have integrated the electric propulsion system into the tiltrotor’s overall mission profile, where an energy consumption reduction of 34.1% for the mission profile can be achieved after propeller and motor simultaneous optimization.

This study provides a valuable tool for the preliminary design and optimization of the electric propulsion systems for tiltrotor aircraft.

This study explored how teachers change, what teachers learn and how they learn during the implementation of project-based learning through lesson study.

In this study, three university researchers, one doctoral student and six mathematics school teachers formed a lesson study team. Using a qualitative research method, this study employed a locally integrating networking strategy to combine the modified Interconnected Model of Teacher Professional Growth (IMTPG) and Bannister's framework to describe the teachers' knowledge change when participating in a lesson study on project-based learning.

The research revealed that the school teachers' knowledge about authenticity and assessment in the context of project-based learning was changed after the lesson study and how the changes were triggered.

The study demonstrates how the networking of two different theories—modified IMTPG and Bannister's framework—contributes to a better understanding of the process of teachers' collective practice, as well as the knowledge change in PjBL. This networking was done by combining the two theories, which were superimposed at the domain of practice.

This study explores the influencing factors affecting smart supply chain innovation (SSCI) performance of commodity distribution enterprises, and proposes the corresponding framework from the perspective of the application of technology to improve the SSCI performance and make up the research gap in this field.

A multi-case study method is adopted in this study. Four distribution commodity distribution enterprises A, B, C and D in China are chosen as case enterprises. The interviews with senior management team members are used to collect data. The combination of open coding and axial coding are used to process the data. By testing the reliability and validity, the theoretical framework is summarized.

First, we find that the technology application cost inhibits SSCI and that the level of technology suitable for enterprise development will promote SSCI. Second, SSCI in structure, management and services can improve the performance and innovation ability of enterprises. Third, the quality of multi-channel integration and degree of customization around customer demand can significantly modify the above effects.

Compared with previous studies, this study reveals for the first time the correlation between the SSCI performance and technology application, SSCI in structure, management and service, providing new ideas for relevant researches on SSCI, and providing new theoretical support for managers' decision-making related to SSCI.

The purpose of this study is to optimize and improve conventional welding using EMF assisted technology. Current industrial production has put forward higher requirements for welding technology, so the optimization and improvement of traditional welding methods become urgent needs.

External magnetic field assisted welding is an emerging technology in recent years, acting in a non-contact manner on the welding. The action of electromagnetic forces on the arc plasma leads to significant changes in the arc behavior, which affects the droplet transfer and molten pool formation and ultimately improve the weld seam formation and joint quality.

In this paper, different types of external magnetic fields are analyzed and summarized, which mainly include external transverse magnetic field, external longitudinal magnetic field and external cusp magnetic field. The research progress of welding behavior under the effect of external magnetic field is described, including the effect of external magnetic field on arc morphology, droplet transfer and weld seam formation law.

However, due to the extremely complex physical processes under the action of the external magnetic field, the mechanism of physical fields such as heat, force and electromagnetism in the welding has not been thoroughly analyzed, in-depth theoretical and numerical studies become urgent.