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The purpose of this paper is to investigate the nonlinear relationship between shadow economy and income inequality and determine whether the size of shadow economy can influence the level of income inequality.

Both parametric (panel OLS) and nonparametric/semiparametric regression suggested by Robinson (1988) will be used to capture the dynamic nonlinear relationship between these variables using unbalanced panel data of 154 countries from 2000 to 2007. Additionally, the relationship between income inequality and shadow economy on both developed and developing countries will be analyzed and compared.

First, semiparametric analysis and nonparametric analysis are significantly different than parametric analysis and better in nonlinear analysis between income inequality and shadow economy. Second, income inequality and shadow economy resemble an inverted-N relationship. Third, the relationship between income inequality and shadow economy is different in developed countries (OECD countries) and developing countries, where OECD countries have similar inverted-N relationship as before. However, for developing countries, income inequality and shadow economy show an inverted-U relationship, similar to the original Kuznets hypothesis.

This study suggests that there is a possible trade-off between income inequality and shadow economy and helps policy makers in solving both problems effectively.

Despite the growing importance of income inequality and shadow economy, literature linking the two variables is scarce. To the best of the authors’ knowledge, there is no literature that nonlinearly links these two variables. Furthermore, the dynamics of the relationship between these two variables in developed countries and developing countries will be explored as well.

This study aims to explore the impact of social media influencers' (SMIs) intimate self-disclosure on consumers' purchase intentions, with a focus on the role of parasocial relationships and congruence among the influencer, product and consumer. The study finds its theoretical foundation in parasocial theory and self-congruency theory.

This study employs a quantitative approach, utilizing a sample of 232 collected survey responses. The proposed hypotheses are evaluated using partial least squares structural equation modeling (PLS-SEM).

Contrary to initial assumptions, the study reveals that parasocial relationships do not mediate the link between SMIs' intimate self-disclosure and purchase intentions. However, an interesting moderating effect was discovered: the congruence between the consumer and the influencer influences the relationship between SMIs' intimate self-disclosure and parasocial relationships, and subsequently, between parasocial relationships and purchase intentions.

This study brings fresh insights by pinpointing a boundary condition that dictates the influence of SMIs' intimate self-disclosure on purchase intentions via parasocial relationships. In doing so, this study provides a novel perspective in understanding the dynamics between SMIs and consumers in the rapidly evolving marketing landscape.

The purpose of this paper is to provide affordable housing to economically weaker section (EWS). The enormity of India’s housing affordability problem has led the authors to study and analyze the criteria delaying an affordable housing for EWS. The issues affecting supply and demand for affordable housing in Indian urban areas for EWS are analyzed.

The judgment sampling is used among housing and planning experts working in five different sectors, including local authorities, housing developers, housing sectors, town planning and property/affordable housing consultants. The study has established the problem and acknowledged 30 factors behind it. A total of 349 questionnaires were administered among the housing experts in 4 states of India. Descriptive statistical method was used to determine the significance of criteria.

A complete structure of criteria signifying housing affordability, established by the authors, is validated and analyzed in this paper. The questionnaire surveys were conducted with housing and planning experts across the four states of India to determine household perceptions on the criteria contributing to housing affordability and to rank these criteria according to their importance. The study establishes that the experts’ views on this issue differ insignificantly across different states of India, while they differ in certain levels depending on the urban area.

To build successful societies for the future, the authors wish to draw closer on affordability issues for EWS. The suggestions prominent information to investors, and real estate firms, which could assistance ecological growth of housing projects that are affordable.

Based on the examination of the ranking and greatness of housing criteria, this paper further suggests possible developments for EWS in India.

This study aims to analyze the factors affecting tea-producing farmers' intention to use e-commerce exchanges (ECEs) to sell their products, combining the technology acceptance model (TAM) theory and barrier factors.

The authors use the generalized structural equation modeling (GSEM) to analyze the intermediate model that is built on TAM.

Research results show that perceived usefulness (PU) and perceived ease of use (PEU) significantly influence farmers' intention to use ECEs to sell their products. However, knowledge and information barriers hinder farmers' intention to use such ECEs.

Encouraging farmers to use ECEs is the most helpful solution for agricultural economic development in the context of the Covid-19 pandemic.

From an academic perspective, this is the first study that combines the TAM theory of Davis (1989) and barrier factors to analyze farmers' intention to use ECEs. The findings are valuable references for policymakers to propose strategies for agricultural economic development during the current pandemic. At the same time, the empirical results obtained from this study provide good orientations for agricultural economic development 4.0 in the future.