Blockchain technology is being looked at to solve numerous real-world problems that demand transparency by meeting sustainable goals. Do we ponder whether this technology is a boon or a bane for the environment? This paper analyses blockchain’s dominant consensus method, Proof-of-Work (PoW), which consumes more energy than Malaysia and Sweden and further deteriorates the environment through carbon emissions. This study is the first systematic evaluation of PoW consensus-based blockchain applications’ environmental consequences. We found 11 significant Theories, 6 Contexts, and 26 Methodologies (TCM) in 60 reviewed articles. We propose an Antecedents, Drivers, and Outcomes (ADO) model, which depicts that marginal profits drive high energy consumption and carbon emissions, with non-renewable energy proportionally responsible for carbon emissions. The article distinctively uses an integrated TCM-ADO framework for literature synthesis and the PESTLE framework for reporting future research areas. This is the first study to use the following four frameworks: PRISMA; TCM; ADO; and PESTLE for systematic literature review. Profit is identified as one of the most significant drivers of energy consumption and further carbon emissions. The article proposes 65 future research areas and makes theoretical contributions to the literature that may interest academicians, practitioners, and social stakeholders.

The connectedness dynamics between large-, mid-, and small-cap stocks is investigated using the forecasted error variance decomposition (FEVD) spillover framework of Diebold and Yilmaz in the time-frequency domain. Total volatility spillover (i.e., connectedness) is elevated between large-, mid-, and small-cap stocks during the study period. This high level of spillover exists in the short run only, and declines gradually in the medium to long run, thus providing opportunities for portfolio diversification (hedging) in multi-cap investing during the medium-to-long run (short run) only. Like total connectedness, a similar pattern of bilateral connectedness is observed between either of the two indices, thus providing a similar opportunity in the short and long runs. The mid-cap index emerges as the major contributor to total volatility in the system, followed by the small- and large-cap indices, during the analyzed period. The volatility spillover is time-varying in both the time and frequency domains.

Access to basic financial services, though, enables destitute and vulnerable individuals in society to promote prosperity, a significant section of rural population is still unbanked in India. Unveiling various small saving schemes, the Indian Government has accelerated the financial inclusion, but the availability of numerous alternative schemes has created a surplus of market information, causing difficulty in building economic judgment for the rural people having no financial socialization through formal and informal education and training. While dismissive investors rely on their own decisions, the convincing behaviour of financial consultants may play a crucial role in shaping the saving habits of the preoccupied population. To analyse the moderation effect of financial consultants on the relationship between small savings schemes, financial literacy and behaviour, and savings habit of rural people, the empirical study employs a two-phase structural equation modelling on the data gathered from 343 adult respondents from 12 Indian districts with a considerable rural population. In order to validate the hypothesized measurement model, a confirmatory factor analysis is carried out and in the next phase, the structural model is used to verify the association between exogenous and endogenous variables. The study exhibits a significant positive impact of predictors and moderation variables on the savings habit. The study recommends integrating consultants into the financial engineering process to advance inclusivity and encourage saving behaviour of rural individuals for personal and economic prosperity.