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.

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.