Manivannan Babu

This study investigates factors influencing farmers’ acceptance of blockchain technology within the concept of “enerchainability,” which integrates energy efficiency and blockchain to enhance sustainability in the agriculture supply chain (ASC). It examines how farmers’ awareness, social networks, access to technology, and participation in agricultural training shape their behavioral intention to adopt blockchain. Data were collected through a structured survey focusing on demographic factors, social networks, and supply chain challenges. Results show that social networks, technological resources, and education significantly affect blockchain adoption. Younger, educated farmers are more receptive to the technology, while issues like reduced bargaining power and high production costs act as barriers. The study’s findings, though focused on one region, have global relevance for similar agricultural and technological contexts, offering insights into how blockchain can drive sustainability and energy efficiency. The research provides recommendations for policymakers and stakeholders, emphasizing the importance of farmer education and external support for blockchain adoption in ASC.

Indian financial sector has seen a dramatic change in recent years, with digital finance unlocking new possibilities for financial inclusion. This paper investigates the factors influencing the continuous usage intention and advocacy intention, regarding digital finance, in the Indian economy. Utilizing the Stimulus-Organism-Response (S-O-R) model, the study examines how ease of use, credibility and ubiquity (stimulus) could influence user trust, satisfaction, and engagement (organism), ultimately affecting their intention to use and recommend the service (response) continuously. Non-probability convenience sampling technique was used to select the study sample. Based on the results, features of digital financial platforms such as ease of use, credibility and ubiquity, were found to have a significant impact on user trust, satisfaction, and engagement. These factors partially mediate the stimulus and response variables. The research findings provide Digital Financial Service Providers (DFSPs) with practical guidance on creating and implementing user-centric platforms that create engagement and trust. User experience should be prioritized and making sure that platform should be accessible, easy to use and compatible with a variety of devices.

Energy is the most important factor for our daily lives, but traditional energy sources like coal, petroleum and gas were polluting the environment. To address this issue, people are considering energy-efficient technologies, which consume less energy and eco-friendly in nature. This paper investigates the factors influencing the intention to purchase of energy-efficient appliances in India. Utilizing the Technology Acceptance Model (TAM), the study examines how perceived ease of use, perceived usefulness, functional value, perceived cost, environmental concern affects their intention to purchase. Non-probability convenience sampling technique was applied. Based on the results, perceived ease of use, perceived usefulness, functional value, perceived cost, environmental concern positively influences the intention to purchase energy-efficient appliances. The eco-friendly purchasing behaviour has significant societal implications, including reduced carbon emissions, conservation of natural resources and environmental sustainability.

This research aims to explore the factors influencing Priority Sector Lending (PSL) in India, with a specific focus on both bank-specific and macroeconomic variables. By delving into the determinants shaping the implementation of PSL, the study seeks to understand why PSL levels have fallen below mandated targets in recent years. The study examines PSL data from 18 institutions spanning the years 2007 to 2020. The study looks at connection between factors specific to banks, macroeconomic variables, and the distribution of credit to support priority sectors using a random effects model that takes into account the different types of variables. The analysis reveals a noteworthy positive correlation between deposits and PSL. However, the study finds insignificance in the relationship between bank-specific variables and PSL. These findings shed light on the complexities surrounding meeting PSL targets, underscoring the necessity for comprehensive policy interventions, capacity-building initiatives, and improved stakeholder coordination to bolster the effectiveness of PSL. Understanding the challenges and opportunities associated with achieving PSL targets is crucial. The research underscores the need for proactive policy measures, efforts to enhance institutional capacities, and better coordination among stakeholders. Implementing these measures could significantly augment the efficacy of PSL and foster inclusive growth by ensuring financial access to underserved segments of society in India.

The present study proposes to investigate the influence of the covid-19, on the adjusted closing price of the digital currency based on energy consumption during the process of mining. The study employed the secondary data analysis of top ten market capitalization of cryptocurrencies with the combination of high energy consume mechanism (proof of work) and low energy consume mechanism (proof of stake). Statistical tools like Descriptive analysis,Augmented Dickey-Fuller (ADF) test, ARCH, and GARCH models were used in the study. The present study finds that the prices of cryptocurrencies were highly volatile. This study could assist investors towards better understanding of the dynamics of the cryptocurrency market based on energy consumption which helps them to make more effective decisions, on investing cryptocurrencies with a scientific approach.