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The principal aim of this study is to examine the relationship between financial development and income inequality in India using the financial Kuznets curve (FKC) hypothesis.

This study uses the autoregressive distributed lag (ARDL) model and the Toda–-Yamamoto causality test to investigate the long-run and short-run relationship and causality between financial development and income inequality. In addition, this study employs a principal component analysis (PCA) to construct a comprehensive financial development index.

The study found a long-run relationship between financial development and income inequality in India for the period under consideration. Trade is found to improve the income distribution, while inflation worsens income distribution. Moreover, the empirical results revealed a feedback causality between financial development and income inequality. The study results confirm an inverted U-shaped relationship between financial sector development indicators and income inequality, thus validating the FKC hypothesis for the Indian economy.

The study draws attention of the government and policymakers, urging them to focus on building a strong financial sector by improving its efficiency. This, in turn, will lead to enhanced financial stability and a reduction in income inequality. They should prioritise the development of high-quality and sustainable financial products and services to ensure the robust growth of the financial sector.

To the best of our knowledge, this study is the latest of its kind to empirically test the financial development on income inequality and the FKC hypothesis simultaneously for the Indian economy using financial proxy variables from financial institutions (FIs) and financial markets (FMs) for the measurement of financial depth.

The measurement of women's economic welfare and exploring its underlying factors have been undervalued in the context of Khyber Pakhtunkhwa, Pakistan. This study addressed this gap by focusing on assessing women's subjective economic welfare and its socioeconomic and cultural determinants in the education and health sectors within Mardan, Northern Pakistan.

The study used stratified random sampling techniques for the selection of sample respondents and collected data through a well-structured questionnaire. To measure women’s economic welfare, the study utilizes Lorenz curves, the Gini index, the Sen Social Welfare function and an individual's gross monthly income. Furthermore, the ordinary least squares method was utilized to analyze the determinants of economic welfare.

The findings show greater income inequality and a lower welfare level for women in the education sector compared to the health sector. Likewise, the study identifies several key determinants, such as age, educational qualification, job experience, respect for working women, outside and work-place problems and the suffering of family members of working women for their economic well-being.

This study makes valuable contributions to the literature by focusing on the cultural perspective of Pakhtun women in Mardan and providing a context-specific understanding of subjective economic welfare. Additionally, the authors collected first-hand data, which gave an original outlook on working women's current economic welfare level. Furthermore, this study undertakes a comparative analysis of working women's welfare in the health and education sectors. This comparison offers a more accurate portrayal of the challenges and opportunities specific to these occupations.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2023-0246

The purpose of this study is to explain the opinions of the Muslim jurists available in the fiqh books so that they may be compared with the approaches adopted by modern scholars for defining the concept of riba. It is argued that the method of jurists was different from the one adopted by the modern Muslim jurists and Islamic economists. The new method dichotomizes riba into those of the Quran and Sunnah. On the contrary, jurists of four Sunni schools considered the Quran and Sunnah in this regard as a single whole, and they saw Sunnah as the elaboration of riba. By explaining the similarities shared by different fiqh schools, it is explained that there is no need for a definition of riba.

The paper uses the method of content analysis. The authors have consulted the authentic fiqh manuals of the four Sunni fiqh schools to substantiate the objectives.

One of the major findings of this paper is that interest charged in loan transactions, including bank loans, is riba according to the four Sunni fiqh schools. Moreover, the paper also shows that the similarities among the four Sunni fiqh schools are far more significant than the often-highlighted disagreements among them regarding the concept of riba. The methodology adopted by modern Muslim scholars seems to add confusions around the concept of riba.

The paper discusses views of only four Sunni fiqh jurists.

The paper explains the common methodology followed by the jurists for understanding riba, the significant similarities resulting from their common method, the link between the concept of riba and different types of financial transactions within the framework of the jurists and that combining several fiqh schools at a time is a contradiction-ridden methodology.

A woman's nutritional status significantly determines her overall well-being. The authors critically examine the trends — including socioeconomic disparities — in undernutrition among Muslim women in India, a notably socio-economically disadvantaged group. The authors also investigate trends and variations across the dimensions of caste, place of residence (rural/urban), education, economic status and geographic regions.

The analysis leverages the nationally representative National Family Health Surveys (NFHS) of India conducted between 1998 and 2021. The authors examined poor–rich ratios, concentration indices, disparity ratios and predicted probabilities of being underweight (captured using Body Mass Index).

From 1998 to 2021, there has been a decline in undernutrition prevalence among Muslim women. However, stark socioeconomic variations persist. While the prevalence has decreased over time across all socioeconomic groups, disparities — both within and between groups — remain significant and, in many cases, have expanded. For certain socioeconomic subgroups (e.g. Muslim women with no formal education or those in the Central and Northeast regions), the disparity doubled between 1998 and 2021. In regions like the South, where undernutrition prevalence is low or has reduced, disparities remain significant and generally have increased.

To the authors’ knowledge, the study is the first to provide a comprehensive examination of the prevalence, trends and socioeconomic disparities in undernutrition among Muslim women in India over the past two decades.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2023-0320

Most research on tax evasion focused on microeconomic variables revolving around perceptions and decisions of individual taxpayers. However, a new wave of research is now investigating the role of macroeconomic variables in inducing tax evasion. This study adds to the limited studies in this new direction of research. Previous studies found that inflation, low gross domestic product (GDP) growth and gross fixed capital formation causes recession, increases unemployment, raise interest rates, hurts both domestic and foreign direct investments. This study examined the relationship between these variables and estimated tax evasion in Sub-Saharan Africa.

The study adopts a correlation research design with 2,300 data points collected from 23 countries in Sub-Saharan Africa. Specifically, tax to GDP ratio, gross fixed capital formation per GDP and the GDP annual growth report from each country for the period 2011–2020 was retrieved. Generalised least square regression technique was employed to analyse the data due to the presence of heteroskedasticity in the model and random effect was utilized based on the Hausman test. To avoid misspecification and biased result; therefore, all relevant test was conducted including the multicollinearity test.

The results indicate that GDP annual growth and gross fixed capital formation have a significant negative impact on estimated tax evasion in Sub-Saharan Africa. The findings further indicate a negative but insignificant relationship between inflation and estimated tax evasion in Sub-Saharan Africa. The study concludes that both GDP annual growth rate and gross fixed capital formation negatively influence estimated tax evasion and the policy implications in the African continent were discussed.

The new findings on the effects of GDP annual growth, growth fixed capital formation and inflation on estimated tax evasion provide novel knowledge that is currently lacking in the current literature, specifically Sub-Saharan African continent.

In light of the shift in focus from information communication technology (ICT) access (access divide) and skills (skills divide) to the tangible impacts of ICT use (impact divide), a growing number of scholars have called for further investigation into the inter-territorial and multi-dimensional aspects of the digital divide in China. This study aims to address these gaps by examining the disparities across 31 provinces, particularly emphasizing the transition from the traditional access and skills divides to the impact divide.

Multivariate regression analysis extensively investigates the transition from the access and skills divides to the impact divide across 31 provinces. Additionally, ArcGIS software is used to analyze spatial agglomeration and the auto-correlation (Moran-i) and predict mapping patterns in the data corresponding to all three levels of the digital divide.

According to the study's findings, poverty is a significant factor in the digital divide between different regions in China. The research shows that provinces with advanced administrative systems, such as Guangdong, Shanghai, Beijing, Jiangsu, Shandon and Zhejiang, have high scores on the digital development index (DDI). However, regions with poverty-ridden and rural areas, primarily located in southwest, central and western China, tend to have lower DDI scores.

This study offers a novel contribution to the literature by presenting an innovative conceptual framework that explores the impact divide within China's provinces. The authors also address this lacuna in the literature by developing and testing two dimensions to examine the relationships statistically under a wide range of socioeconomic and ICT indicators.

This study investigates firms' innovation behaviour under environmental change. Therefore, it examines the effect of trade disputes on corporate technological innovation and how product market competition moderates this relationship.

This research tests the hypotheses using the fixed effects model based on panel data of publicly listed enterprises in China from 2007–2020.

The empirical results validate the positive association between trade disputes and corporate research and development (R&D) intensity as well as the U-shaped relationship between trade disputes and radical innovation. Additionally, the moderating effect of product market competition is verified: a concentrated market with less competition flattens the U-shaped curve of radical innovation induced by trade disputes; as the market becomes more concentrated and less competitive, the U-shaped relationship eventually turns into an inverted U.

First, this study contributes to the corporate innovation and trade dispute literature by expanding the environmental antecedents of technological innovation and the firm-level consequences of trade disputes. Second, this study enriches the theoretical framework of the environment–innovation link through an integrated perspective of contingency theory and dynamic capabilities view. Third, instead of the traditional linear mindset which had led to contradictory results, this study explores a curvilinear effect in the environment–innovation relationship.

The purpose of this paper is to study triadic market relations between an international aid agency (IAA), local ventures and the poor communities where they are embedded in order to shift the poverty alleviation discussion to account for the perceptions held by each category of actor, especially those of poor communities. Poverty alleviation is a key commitment of the United Nations, and market-driven approaches are increasingly advocated as a means to reduce poverty, particularly among IAAs. One such strategy is to connect ventures in poor communities with international markets. However, research shows that such approaches have mixed success.

The authors conducted a comparative case study of three ventures embedded in urban and rural poor communities receiving support from an IAA. The authors then analyzed the data to determine the mechanisms that led to discrepancies in the perceptions of poverty alleviation held by each actor involved.

This study suggests three such mechanisms: ‘decoupling markets from poverty’, wherein aiding ventures may paradoxically lead to decoupling them from poor communities; ‘overburden stress’, in which ventures cannot fulfil a poverty alleviation role through their market activities because the expectation to do so overburdens the venture; and ‘value divergence’, in which the actors involved evaluate the impact of these approaches differently.

The authors propose that a key aspect of enabling effective poverty alleviation through market-driven approaches in terms of substantial, long-term contributions is to monitor and support the relations between the actors involved – including the poor communities themselves – and explore how each perceives the efficacy of the approach.

El objetivo de nuestro estudio es integrar las percepciones de tres actores: los organismos internacionales, los emprendimientos en comunidades pobres y las propias comunidades pobres, con el fin de cambiar la discusión sobre la reducción de la pobreza hacia las percepciones de los diferentes actores involucrados en las relaciones de mercado, en particular las de las comunidades pobres. La reducción de la pobreza es un compromiso clave de las Naciones Unidas, y en la actualidad se promueven enfoques de mercado como un medio para reducir la pobreza, especialmente entre los organismos internacionales. Una estrategia consiste en conectar emprendimientos en comunidades pobres con mercados internacionales. Sin embargo, investigaciones previas muestran que estos enfoques de mercado tienen un éxito variado en ciertas ocasiones y en otras no.

Realizamos un estudio de casos comparativo de tres emprendimientos en comunidades pobres urbanas y rurales que reciben apoyo de un organismo internacional. Luego, analizamos nuestros datos para determinar qué mecanismos condujeron a discrepancias en las percepciones de cada actor involucrado con respecto a la reducción de la pobreza.

Nuestro estudio identifica tres mecanismos que explican las discrepancias en las percepciones de los actores involucrados con respecto a los enfoques de mercado para la reducción de la pobreza: ‘desvinculación de los mercados de la pobreza’, en donde el apoyo a los emprendimientos puede llevar paradójicamente a separarlos de las comunidades pobres; ‘estrés de sobrecarga’ que captura situaciones en las que los emprendimientos no pueden cumplir su función de reducción de la pobreza a través de sus actividades en el mercado debido a que la expectativa de hacerlo, aunque implícita, sobrecarga al emprendimiento; y ‘divergencia de valores’ que muestra que los actores involucrados a menudo evalúan de manera diferente el impacto de los enfoques de mercado en la pobreza.

Proponemos que un aspecto clave de la reducción efectiva de la pobreza a través de enfoques de mercado que hagan contribuciones sustanciales y a largo plazo es monitorear las relaciones y la eficacia percibida entre todos los actores involucrados en estos enfoques, incluyendo a las propias comunidades pobres.

El objetivo de nosso estudo é integrar as percepções de três atores: os organismos internacionais, os empreendimentos em comunidades pobres e as próprias comunidades pobres, com o objetivo de mudar a discussão sobre a redução da pobreza para as percepções dos diferentes atores envolvidos nas relações de mercado, particularmente as das comunidades pobres. A redução da pobreza é um compromisso chave das nações unidas, e atualmente abordagens de mercado são promovidas como um meio para reduzir a pobreza, especialmente entre os organismos internacionais. Uma estratégia consiste em conectar empreendimentos em comunidades pobres com mercados internacionais. No entanto, pesquisas anteriores mostram que essas abordagens de mercado têm sucesso variado em algumas ocasiões e em outras não.

Realizamos um estudo de casos comparativo de três empreendimentos em comunidades pobres urbanas e rurais que recebem apoio de um organismo internacional. Em seguida, analisamos nossos dados para determinar quais mecanismos levaram a discrepâncias nas percepções de cada ator envolvido em relação à redução da pobreza.

Nosso estudo identifica três mecanismos que explicam as discrepâncias nas percepções dos atores envolvidos em relação às abordagens de mercado para a redução da pobreza: ‘desvinculação dos mercados da pobreza’, onde o apoio aos empreendimentos pode paradoxalmente separá-los das comunidades pobres; ‘estresse de sobrecarga’ que captura situações em que os empreendimentos não podem cumprir sua função de redução da pobreza por meio de suas atividades no mercado devido à expectativa de fazê-lo, mesmo que implicitamente, sobrecarregando o empreendimento; e ‘divergência de valores’ que mostra que os atores envolvidos frequentemente avaliam de maneira diferente o impacto das abordagens de mercado na pobreza.

Propomos que um aspecto-chave da redução efetiva da pobreza por meio de abordagens de mercado que façam contribuições substanciais e a longo prazo é monitorar as relações e a eficácia percebida entre todos os atores envolvidos nessas abordagens, incluindo as próprias comunidades pobres.

This paper aims to examine the influence of financial inclusion (FI) on poverty, income inequality and financial stability from the perspective of public good (PG) theory in developing countries.

This study applies the fixed effects model (FEM), pooled ordinary least square (OLS) regression and generalized method of moment (GMM) across panal data of 69 developing countries from 2002 to 2020 inclusive.

Multiple regression analyses show that FI reduces poverty and income inequality while improving financial stability. Secondary enrolment ratio, GDP per capita, and trade openness reduce poverty and income inequality. However, a higher inflation rate increases poverty and income inequality while reducing financial stability. Finally, age dependency ratio and population do not affect poverty, income inequality or financial stability.

The regulators and policymakers in developing countries should raise the level of formal FI by expanding the size of the formal financial sector and improving the access of the large unbanked population to financial products/services. Improving FI enables the unbanked population to take over productive activities and ease consumption, which in turn complementing economic growth.

The increase in FI enables the developing countries to include the financially excluded population through formal financial products and services, which improve financial stability and eradicate poverty and income inequality in society. Thus, the FI enhances the social welfare of society.

This is the first study that examines the impact of FI poverty, income inequality and financial stability in the context of developing countries. This study contributes to the theoretical implications of the PG theory by examining the influence of FI on poverty, income inequality and financial stability in the context of developing countries.

This study presents an innovative approach to analyzing user behavior when performing digital tasks by integrating eye-tracking technology. Through the measurement of user scan patterns, gaze and attention during task completion, the authors gain valuable insights into users' approaches and execution of these tasks.

In this research, the authors conducted an observational study that centered on assessing the digital skills of individuals with limited proficiency who enrolled in a computer introductory course. A group of 19 participants were tasked with completing various online assignments both before and after completing the course.

The study findings indicate a significant improvement in participants' skills, particularly in basic and straightforward applications. However, advancements in more sophisticated utilization, such as mastering efficient search techniques or harnessing the Internet for enhanced situational awareness, demonstrate only marginal enhancement.

In recent decades, extensive research has been conducted on the issue of digital inequality, given its significant societal implications. This paper introduces a novel tool designed to analyze digital inequalities and subsequently employs it to evaluate the effectiveness of “LEHAVA,” the largest government-sponsored program aimed at mitigating these disparities in Israel.