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This study aims to examine the impact of fiscal deficit, exchange rate and trade openness on current account deficit (CAD). The study tried to empirically investigate the ‘twin deficits hypothesis’ and ‘compensation hypothesis’ in the Indian context.

Autoregressive distributed lagARDL) bound test approach was used by taking annual time series data from 1978 to 2021. The estimates confirm a significant long-run and short-run relationship between dependent variables, i.e. CAD and independent variables such as the fiscal deficit, exchange rate and trade openness.

The results show that positive shocks of all explanatory variables significantly affect the CAD. CAD and fiscal deficit are significantly associated, as the coefficient of fiscal deficit is positive and significant. The study also found that exchange rate and trade openness significantly affect the CAD. The coefficients of exchange rate and trade openness are positive and significant. The findings show that an increase in CADs results from liberal trade policies that help domestic industries grow their trade and expansionary fiscal policy, leading to a higher fiscal deficit. The negative and significant error correction term suggests that short-run disequilibrium converges to long-run equilibrium at a speed of 19.2%. The findings validate the ‘twin deficits hypothesis’ and ‘compensation hypothesis’ in the Indian context.

It can be inferred from the study that liberal policy to promote economic growth and trade openness should be designed and promoted judiciously. An excessive liberalised approach may impact other macroeconomic variables such as current account balances. Integrating the domestic market with global markets poses a big challenge for countries like India that aspire to penetrate global markets. Furthermore, the Indian policy makers should rigorously work and promote the policies such as Fiscal Responsibility and Budget Management (FRBM) as reduction in fiscal deficits, trade imbalances will also be reduced.

This study contributes to the existing literature on ‘twin deficit’ and trade openness by giving new evidence on the trilemma between designing sustainable fiscal policy by spending wisely without imperilling the country's global presence and CAD.

The purpose of this study was to evaluate the effects of an online mental health ally program on several measurements of readiness to help and stigma reduction. Allyship is one way to support people with mental health challenges beyond traditional care services.

The efficacy of the program was evaluated in pre and postintervention surveys (n = 26) including measures of self-care, help-seeking intentions, peer-support self-efficacy, advocacy, knowledge of resources and stigma. A within-subject, repeated measures design was conducted analyzing changes at completion. Twenty-six participants who completed the program (either with or without lived experience of mental illness) were included in the study. A subgroup of participants (n = 11) who reported lived experiences of mental illness were assigned additional measures of internalized stigma, stigma stress, stigma resistance and self-esteem.

Analysis of mean differences indicated a statistically significant change in scores pre and postcompletion. The program increased peer-support, help-seeking intentions and self-esteem, while reducing internalized stigma and stigma stress. Findings provide preliminary support for program effectiveness in training individuals to support others and themselves through mental health challenges.

Trained allies might improve the lives of individuals with mental health challenges by reducing discrimination and improving social support. We discuss the implication of allies to complement the mental health system.

To the best of the authors’ knowledge, this is the first exploratory study on the efficacy of an online ally training program for individuals with mental illness. The NoStigmas Ally Program is a novel and original development in ally training.

Although allies have been shown to be effective at helping to ignite positive change for marginalized groups, the literature on ally identity development is fragmented.

We draw from developmental, contextual, and identity theories to review the existing literature and focus squarely on the ally experience, resulting in a synthesized process-based conceptualization of ally identity development.

At each stage, we discuss intrapersonal experiences individuals are likely to have internally, interpersonal experiences that are likely to occur with others, and catalysts for progression to subsequent stages. In doing so, we outline the multilevel factors that influence and are influenced by ally development in hopes of identifying what motivates or dissuades individuals from becoming more active allies.

We provide practitioners and scholars with a deeper understanding of the organizational and societal benefits associated with allyship behaviors, as well as tools for increasing their presence within organizations.

Utilizing transaction cost economics (TCE) theory as the theoretical underpinning, this article aims to describe the costs of interpersonal helping and governing mechanisms that individuals may use to alleviate helping costs.

A theoretical analysis was performed by drawing upon TCE and related research.

Through the lens of TCE, the authors propose the following: First, as the costs of helping increase, interpersonal helping shifts from being triggered by an autonomous motivation to being regulated by contextual contingencies. Second, the helper is likely to utilize reciprocity to mitigate helping costs by acquiring specific assets possessed by the recipient when asset specificity is high. Third, the helper is likely to utilize organizationally sanctioned procedures and rules to mitigate helping costs by eliminating unwanted resource consumptions when outcome uncertainty is high. Finally, the helper is likely to utilize group norms to mitigate helping costs by involving others in helping or discouraging requests for recurrent help when the frequency of helping is high.

From a theoretical standpoint, this article complements previous research that focuses on the dark side of interpersonal helping. Practically, the authors offer several implications that help managers minimize the costs of helping in the organization.

The purpose of this paper is to evaluate the performance of Microfinance Institutions (MFIs) offering FinTech services. This study contributes to the existing literature on microfinance digitalization, financial inclusion and sustainable development. The study also takes into consideration a behavioral perspective through the efficiency evaluation process of MFIs offering FinTech services.

The following study employs the Stochastic Frontier Analysis approach to estimate the operational and social efficiency scores of the 387 MFIs over the period 2005–2019. Then, it tries to consider factors influencing MFIs' efficiency and assess their effects. Hence, two separate models for operation and social efficiency introducing a set of factors, including FinTech proxies and overconfidence proxies, are tested. The first model for operational efficiency uses a random-effects estimator while the second one for social efficiency uses a fixed-effects estimator.

The results show that innovative MFIs have weaker averages of operational efficiency than non-innovative ones but higher averages of social efficiency. This was justified by the fact that innovative MFIs are more socially oriented. Further, findings of this study depict that the proxies of FinTech affect negatively the level of operational efficiency of MFIs. They also depict a negative relationship between FinTech proxies and the level of social efficiency. These results hold through robustness tests.

The highlight of this study is that it takes heed of the indirect effect of technological innovation on the efficiency of MFIs. It has been proved that it moderates the impact of managerial overconfidence (manifested by excessive risk-taking, viz., high levels of PAR30, LGR and NIM) on the level of both operational and social efficiencies.

本文旨在對提供金融科技服務的微型金融機構的表現作出評價。我們的研究, 就現有之學術文獻而言, 在以下課題之探討上作出了貢獻: 微型金融的數字化、普惠金融、以及可持續發展。本研究亦以行為主義觀點, 對微型金融機構提供之金融科技服務的效率作出評價。

本研究使用隨機邊界分析法的理念, 去估計有關的387間微型金融機構於2005年至2019年期間、經營方面和社會方面的效率分數; 繼而嘗試找出影響微型金融機構效率的因素, 並評估這些因素的影響。為此目的, 研究人員分別測試兩個模型, 一個是探究運作方面的效率, 另一個則探究社會方面的效率。兩個模型內均放入一系列的因素, 其中包括金融科技代理和過度自信代理。探究運作方面的效率的模型使用了隨機效果估算器, 而探究社會方面的效率的模型則使用了固定效果估算器。

研究結果顯示、具創新精神的微型金融機構, 在運作方面的效率的平均值上,較沒具創新精神的為弱, 而社會方面的效率的平均值卻較高。這個結果是合理的, 因為具創新精神的微型金融機構會更著眼於社會。另外, 研究結果描繪了一個現象, 就是: 金融科技代理會對微型金融機構的運作效率水平產生負面影響; 我們也看到、金融科技代理與社會方面的效率水平之間的關聯是負面的; 這些研究結果、均通過穩健性檢驗。

本研究最突出之處為研究人員關注科技之創新會間接影響微型金融機構的效率。研究人員證明了於微型金融機構整合金融科技服務是會緩和管理上的過度自信給運作和社會兩方面的效率水平帶來的影響 (管理上的過度自信、顯露於過度的風險承擔, 即是, PAR30(貸款組合風險-30日)、LGR(貸款增長率) 和NIM(淨息差) 處於高水平)。

Managers are concerned about how the macroeconomic environment affects business profit. Focusing on banks, this study aims to investigate the effect of economic policy uncertainty (EPU) on bank profitability in 22 advanced countries.

The study used the panel fixed effect regression methodology to assess the effect of EPU on several measures of bank profitability for 22 advanced countries from 1998 to 2017. The measures of bank profitability are net interest margin, lending-deposit spread, non-interest income (NII) ratio, after-tax return on asset, before-tax return on asset, after-tax return on equity and before-tax return on equity.

The findings reveal that high EPU negatively affects bank NII. Real gross domestic product growth rate, nonperforming loans and regulatory capital ratio are negatively related to profitability in times of high EPU. The findings also reveal that high EPU has a positive effect on bank profitability in Asia and the region of the Americas, as these regions witnessed high return on equity in times of high EPU.

The implication of the findings is that, although EPU has a depressive effect on some indicators of bank profitability, regional characteristics can ameliorate the depressive effects of EPU on bank profitability.

This study contributes to the literature that examine the economic consequences of EPU on firms. To the best of the authors’ knowledge, this study is among the first to examine how regional characteristics affect the relationship between EPU and bank profitability using cross-country data.

Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system that causes debilitating symptoms. Currently, there is insufficient evidence to recommend a special diet for people with MS to slow disease progression and reduce symptoms. Little is known about the dietary choices made by people with MS. This study aimed to explore the interpretations of healthy eating in people recently diagnosed with MS. Objectives were to investigate the types of changes in food choices and to describe the impact of making these changes.

A social constructionist approach applying qualitative secondary analysis of semi-structured interviews was conducted (n = 11). Interviews were transcribed, coded and analysed using a deductive approach.

Participants were mostly female (82%), mean age 47 years and mean time since diagnosis eight months. Four themes emerged from the data: (1) moving in the direction of the dietary guidelines, (2) modifying intake of dietary fat, (3) requiring mental effort and (4) needing input from a dietitian.

The directions of food choices and the absence of dietetic input highlighted in this study suggest the need for evidence-based nutrition education that enables people with MS to tailor dietary guidelines according to their preferences.

How people interpret healthy eating advice and the impact on making food choice changes is useful for explaining dietary changes in MS. Special diets promoted for MS provide conflicting advice, and the lack of access to dietitians means that additional mental effort is required when interpreting healthy eating messages and diets.

Work-life flexibility policies (e.g., flextime, telework, part-time, right-to-disconnect, and leaves) are increasingly important to employers as productivity and well-being strategies. However, policies have not lived up to their potential. In this chapter, the authors argue for increased research attention to implementation and work-life intersectionality considerations influencing effectiveness. Drawing on a typology that conceptualizes flexibility policies as offering employees control across five dimensions of the work role boundary (temporal, spatial, size, permeability, and continuity), the authors develop a model identifying the multilevel moderators and mechanisms of boundary control shaping relationships between using flexibility and work and home performance. Next, the authors review this model with an intersectional lens. The authors direct scholars’ attention to growing workforce diversity and increased variation in flexibility policy experiences, particularly for individuals with higher work-life intersectionality, which is defined as having multiple intersecting identities (e.g., gender, caregiving, and race), that are stigmatized, and link to having less access to and/or benefits from societal resources to support managing the work-life interface in a social context. Such an intersectional focus would address the important need to shift work-life and flexibility research from variable to person-centered approaches. The authors identify six research considerations on work-life intersectionality in order to illuminate how traditionally assumed work-life relationships need to be revisited to address growing variation in: access, needs, and preferences for work-life flexibility; work and nonwork experiences; and benefits from using flexibility policies. The authors hope that this chapter will spur a conversation on how the work-life interface and flexibility policy processes and outcomes may increasingly differ for individuals with higher work-life intersectionality compared to those with lower work-life intersectionality in the context of organizational and social systems that may perpetuate growing work-life and job inequality.

Typhoon Hato attacked Macau in August 2017 and had caused fatalities and extensive damages. This study aims to analyze the reactions of the city’s six casinos after the natural disaster from the perspective of corporate social responsibility (CSR), with particular emphasis on finding out which stakeholders had they directed their support mostly.

Qualitative content analyses of press releases, social media, company reports and websites of the casinos in relation to the disaster and their CSR activities were conducted and examined in depth. Furthermore, triangulation of the qualitative data was achieved with quantitative data through a regression analysis.

It was found that most of the casinos’ activities were delivered in the forms of donations, rebuilding the community, supporting staffs and calling for volunteer work, thus largely targeting on the community and employees.

The study serves as a practical lesson for the casino operators to better plan and implement risk and reputational management and to better proliferate their socially responsible side of the gaming business to the public. It also helps casinos to ponder upon better crisis management methods so as to attain sustainability of the industry itself.

The study explains the CSR activities of casinos, which are in a controversial industry, and attempts to explore why do they engage in CSR. It can be seen that the wrestle between social pressure and voluntarism will eventually institutionalize casinos and other controversial businesses in promoting more CSR in various aspects.

Combining some established institutional and socio-psychological theories, including the theory of planned behavior and the theory of regret regulation, the current work serves as an exploratory study to look into how and why Macau’s leading industry reacts in response to a natural disaster through CSR.

Despite the existing conceptual analysis on the impact of trade unions on employees' welfare and the wider economy, the mediating effect of political party orientation (i.e., right, centre and left) on income inequality remains under researched. In this paper, the authors empirically explore the relationship between the nature of political party orientation, trade unions and income inequality.

The authors use three different measures of income inequality and dummy variables that capture government party orientation with respect to economic policy for a panel of 17 OECD economies over the period 2000–2016. The authors employ a panel fixed effects approach and the Driscoll and Kraay's (1998) nonparametric covariance matrix estimator.

The empirical evidence indicates that strong unions and, to some extent, left party governance, are fundamental institutional elements to combat rising levels of income inequality whilst countries dominated by right-wing political parties appear to exacerbate income inequality. The results pertaining to the impact of centrist parties on income inequality are ambiguous suggesting that a potential fragmentation may exist in their political approach.

The evidence generated can have significant policy ramifications in alleviating rising levels of income inequality as well in relation to the declining unionization rates observed across advanced economies.