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This study considers the case in which governments decide whether to support private commercial banks with a subsidy policy in order to encourage participation in the international ship financing market. We examine two cases: (i) identical efficiency between domestic and foreign commercial banks; and (ii) different efficiencies between these banks. In the first case, the domestic government has the incentive to provide a subsidy strategy for domestic commercial banks to maximize social welfare, while the foreign government does not use the subsidy support. Furthermore, in the second case, foreign governments and commercial banks always prefer the subsidy strategy in order to maximize both social welfare and profits. However, the domestic government uses the subsidy strategy depending on the efficiency gap between the two banks. Our model suggests that governments need to support commercial banks with an appropriate subsidy strategy (direct or indirect) to promote participation in the market.

The purpose of this study was to examine racial/ethnic differences in AFS use and their contributing factors using a decomposition analysis.

The 2018 National Financial Capability Study dataset was used to analyze the four major types of AFS—title loans, payday loans, pawnshops, and rent-to-own (RTO) stores—as proxies for AFS use. The study conducted both logistic regression analysis and decomposition analysis to examine the contributing factors.

The results of the logistic regression analysis demonstrated significant disparities in the use of alternative financial services (AFS) among racial and ethnic groups. Specifically, it was found that Blacks were more likely to utilize title and payday loans, pawnshops, and rent-to-own (RTO) stores compared to Whites. In contrast, Hispanics and Asians/individuals of other ethnicities were less likely to use title loans, but Hispanics were more likely to opt for payday loans over Whites. Furthermore, objective financial literacy exhibited a negative association with the likelihood of using these four types of AFS, whereas subjective financial literacy consistently showed a positive association. When examining the decomposition analyses, it became evident that both objective and subjective financial literacy played significant roles in explaining the racial and ethnic disparities in AFS usage. However, the patterns varied in three specific pairwise comparisons.

This study revealed the relative contributions of each factor to the racial/ethnic disparities through decomposition analysis. Our Fairlie decomposition approach addressed non-linearities within the decomposition framework, particularly in estimating the probabilities of AFS utilization, given its binary outcomes. This extension builds upon the Oaxaca decomposition. The study offers valuable insights into the variations in AFS use among different racial and ethnic groups.

This paper tries to estimate the dynamic linear latent factor model (DLLFM) with jump in order to find jump risk, heteroscedasticity and time varying correlations in Global REITs Markets.

Using five major Global Reits rates such as the United States, Japan, the United Kingdom, Australia and Hong Kong form January 4, 2000 to June 29, 2018, this study finds the evidence of common factor and time-varying correlations in addition to the country-specific idiosyncratic risk.

According to the main estimated results of this paper, approximately 60% of the common factors of global REITs market risk. Can be explained by global stock markets.

Second, REITs market integration among five countries seems to have been increasing gradually since Global Financial Crisis.

This chapter discusses how firms can accrue unique advantages from their foreign status in the host country, with a particular focus on informal networks. Drawing on the literature on the liability and asset of foreignness, this chapter argues that foreign firms can be in a better position to balance between the bright and dark side of informal networks than local firms. Foreign firms can deviate from local isomorphic pressures to minimize potential involvement in negative sides. Moreover, they can build more instrumental informal networks in which the dark side of informal networking is better controlled and regulated without losing social cohesion, flexibility, and other benefits of the bright side. This chapter contributes to our understanding of how foreign firms can turn foreignness into assets from liabilities when managing their informal networks in the host country.

The purpose of this paper is to examine spectator perceptions of service quality at the Formula One (F-1) event in Shanghai by means of Martilla and James’ Importance and Performance Analysis (IPA).

The items were plotted on the four IPA dimensions, including: Concentrate Here; Keep Up the Good Work; Lower Priority; and Possible Overkill.

The results indicated that staff courtesy seems to be the strength of the event. However, concession quality, food prices, and arena accessibility, including restrooms at the Shanghai F-1 event, did not meet spectators’ expectations. In addition, the results suggested that in any spectator sporting event, food consumption helps to create a positive experience. Therefore, IPA revealed that service quality related to concessions, food pricing, and arena accessibility at the Shanghai F-1 are in need of immediate improvement, whereas staff courtesy and race visuals were satisfactory.

The findings will help marketers prioritize certain services and offer strategic direction in effective service provision by highlighting management problems.

Since the development of the COVID-19 vaccinations, questions surrounding race have been prominent in the literature on vaccine uptake. Early in the vaccine rollout, public health officials were concerned with the relatively lower rates of uptake among certain racial/ethnic minority groups. We suggest that this may also be patterned by racial/ethnic residential segregation, which previous work has demonstrated to be an important factor for both health and access to health care.

In this study, we examine county-level vaccination rates, racial/ethnic composition, and residential segregation across the U.S. We compile data from several sources, including the American Community Survey (ACS) and Centers for Disease Control (CDC) measured at the county level.

We find that just looking at the associations between racial/ethnic composition and vaccination rates, both percent Black and percent White are significant and negative, meaning that higher percentages of these groups in a county are associated with lower vaccination rates, whereas the opposite is the case for percent Latino. When we factor in segregation, as measured by the index of dissimilarity, the patterns change somewhat. Dissimilarity itself was not significant in the models across all groups, but when interacted with race/ethnic composition, it moderates the association. For both percent Black and percent White, the interaction with the Black-White dissimilarity index is significant and negative, meaning that it deepens the negative association between composition and the vaccination rate.

The analysis is only limited to county-level measures of racial/ethnic composition and vaccination rates, so we are unable to see at the individual-level who is getting vaccinated.

We find that segregation moderates the association between racial/ethnic composition and vaccination rates, suggesting that local race relations in a county helps contextualize the compositional effects of race/ethnicity.

This study aims to understand and a lay a foundation of how analytics has been used in depression management, this study conducts a systematic literature review using two techniques – text mining and manual review. The proposed methodology would aid researchers in identifying key concepts and research gaps, which in turn, will help them to establish the theoretical background supporting their empirical research objective.

This paper explores a hybrid methodology for literature review (HMLR), using text mining prior to systematic manual review.

The proposed rapid methodology is an effective tool to automate and speed up the process required to identify key and emerging concepts and research gaps in any specific research domain while conducting a systematic literature review. It assists in populating a research knowledge graph that does not reach all semantic depths of the examined domain yet provides some science-specific structure.

This study presents a new methodology for conducting a literature review for empirical research articles. This study has explored an “HMLR” that combines text mining and manual systematic literature review. Depending on the purpose of the research, these two techniques can be used in tandem to undertake a comprehensive literature review, by combining pieces of complex textual data together and revealing areas where research might be lacking.

A growing body of evidence suggests that experiences of discrimination may affect physical and mental health through multiple pathways. This paper aims to characterize the extent of everyday perceived discrimination among Brazilian and Cape Verdean immigrant adults in Portugal, to identify its forms and analyze its association with mental health.

This study draws on data from the EQUALS4COVID19 (Equity in health in times of pandemic) project that implemented a cross-sectional survey combining online and face-to-face questionnaires for data collection between February and November 2022.

Women were less likely than men to report no discrimination experiences and more likely to report combined bases of discrimination. While Brazilian women were more likely than Cape Verdean counterparts to report gender and nationality-based discrimination, Cape Verdean women and men were more likely to report experiencing race-based discrimination. Gender (being identified as a woman) and length of stay in Portugal were the main predictors of depression, while resilience and perceived social support were protective factors. Participants with higher levels of resilience showed a significantly diminished association between perceived discrimination and depressive symptoms.

This study highlights the need for further research on the interlocking influences of gender, race, nationality and other structures of power, on health and illness to increase our understanding of what would help meet the specific needs of migrants’ mental health and improve equitable health care.

The findings on the multiple and intersectional discrimination perceived by the Brazilian and Cape Verdean populations in Portugal illustrated the ways mental health can be affected by social structures, such as gender and ethnic hierarchies, and can be used to inform the relevance to design and implement programs on combating individual and institutional discrimination and improving the rights of all people.

The pair‐wise comparison technique has been applied to many algorithms for solving complicated scheduling problems. The optimality gap between the pair‐wise comparison technique and mathematical programming model is mainly due to deterioration in performance when optimal pairs of different sub‐schedules are linked together to form a complete schedule. This paper investigates the effect of adding a part prior to the part‐pair in a 2‐part‐2‐machine optimal sub‐schedule. The conditions in which interchange of part‐pair sequence is required in order to minimise or maintain the makespan when a part is added are analysed mathematically, and the results are reported.