Showing papers by "Imlak Shaikh published in 2023"
TL;DR: In this article , the authors measured consumers' current financial resilience and future expectations within India's emerging market and its likely response to policy measures using individual household data on economic state, employment, income and savings from the Reserve Bank of India's consumer confidence survey.
Abstract: PurposeCovid-19 sparked new interest in consumer financial resilience (CFR) amongst regulatory authorities, financial institutions, policymakers and the academia. No financial and health crisis has been worse than Covid-19, erasing the growth momentum of nations at all development stages. This study measures consumers' current financial resilience and future expectations within India's emerging market and its likely response to policy measures.Design/methodology/approachCFR is investigated using individual household data on economic state, employment, income and savings from the Reserve Bank of India's consumer confidence survey. The empirical approach is based on the temporal time-series data with mixed frequency regression. Consumers' current and future expectation indices appear as the regressand, whereas credit-deposit ratio, credit outstanding, number of bank accounts and digital transactions act as main regressors.FindingsThe response of consumers' current situation is 3.50 times higher than that of their future expectations. This implies that a rise in the credit-deposit ratio and credit line positively affects CFR. In contrast, a higher number of bank accounts, a proxy for financial inclusion, adversely affect consumer's well-being possibly owing to the government's failure to provide financial support through banking networks. Digital payments (value) positively affect consumers' current situation and future expectations.Practical implicationsThe results of this study inform policy formulation for enhancing financial resilience. Consumer sentiment index acts as a proxy for CFR.Originality/valueFinancial resilience is a concern for policymakers. This study is one of the first studies linking CFR with financial inclusion, credit creation and digital financial capability.
1 citations
TL;DR: In this paper , the authors proposed an Antecedents, Drivers, and Outcomes (ADO) model, which depicts that marginal profits drive high energy consumption and carbon emissions, with nonrenewable energy proportionally responsible for carbon emissions.
Abstract: 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.
1 citations
TL;DR: In this article , the relationship between policy uncertainty and gold prices in India, considering a timeline from 2004 to 2023, was investigated using a time series framework using standard OLS and augmented regression using data from MCX-India and WGC prices.
Abstract: India is one of the largest consumers of gold but remains largely unexplored and requires proper attention from investors, regulators and policymakers. Our study aims to uncover the relationship between policy uncertainty and gold prices in India, considering a timeline from 2004 to 2023. Using India EPU and geopolitical uncertainty-related index, the empirical estimation was performed in a time series framework using standard OLS and augmented regression using data from MCX-India and WGC prices. Our statistical investigation signals that policy uncertainty and gold prices in India are positively associated. This implies a higher degree of policy uncertainty and a higher gold price. Monetary policy uncertainty and interest rate changes shows an asymmetric impact on the gold price in India; the effects were more pronounced after 2015. Furthermore, policy uncertainty contains information explaining gold futures prices and has a two-month lag impact. Thus, gold trading in India is sensitive to the economic outlook of the economy and policy uncertainty. Gold imports in India have an adverse effect on gold prices. It is also reported that the INR/USD exchange rate plays a vital role in gold price setting. Hence, the study suggest that India’s government should develop a healthy gold ecosystem and gold-policy.
TL;DR: In this article , the authors used the Autoregressive Distributed Lag (ARDL) model to determine the short and long-term relationships between variables and found that Ethereum behaves like a substitute for Bitcoin, reflected by the longterm positive relationship between Bitcoin energy consumption and Ethereum prices.
Abstract: PurposeWhile Blockchain can serve us, Bitcoin threatens our survival. If Bitcoin is assumed to be a country, it will rank 38th globally for energy consumption. With 90.2 metric million tonnes of carbon dioxide, Bitcoin mining and trading has emerged as an environmental threat. The current study investigates how the trading-specific variables, the prices of Crypto Index and Ethereum, affect bitcoin-based energy consumption. Also, the role of mining-specific variables is analyzed.Design/methodology/approachThe study uses monthly data from various sources collected from December 2018 to January 2023. The authors used the Autoregressive Distributed Lag (ARDL) Model to determine the short- and long-term relationships between variables. This study uses the Theory of Green Marketing and the Theory of Cross Elasticity of Demand as a theoretical lens.FindingsThe findings show that escalating crypto market index and Ethereum prices with a one-month lag increases bitcoin-specific electricity consumption and carbon emissions. Green investors may shift to cryptocurrencies based on consensus other than of Proof-of-Work. Ethereum behaves like a substitute for Bitcoin, reflected by the long-term positive relationship between Bitcoin's energy consumption and Ethereum prices.Originality/valueThe study analyses how the crypto market index and Ethereum price affect bitcoin-based energy use. The relationships identified are substantiated by the literature to provide suggestions to green investors and policymakers to mitigate the harmful impact of Bitcoin's colossal energy consumption on the natural environment.