• Energy Research

Climate change has become a central theme in both national and international forums in recent decades. In this regard, the argument has quickly moved and centered on the role of crypto currencies, in addition to the fundamental culprits of ecological destruction, such as fossil fuels, agricultural, and industrial pollution. The aim of the present study is to assess the role of asymmetries in determining the relationship between blockchain and green investment with the environment using the Non-linear Autoregressive Distributive Lag (NARDL) technique. The data from the United States of America (USA) is used over the period from 2011 to 2020. The findings reveal that, contrary to common belief, there is asymmetric relation between crypto currencies and biofuel usage in both the short and long run. Similarly, asymmetry also exists between renewable energy use and consumption of biofuel. Further, there is a strong coherence among the concerned variables is also proved in this study. Therefore, the study implies that assuming symmetric and weak coherence relationships between blockchain technology and green investment in the global environment produce biased and misleading findings which are not a true representation of the real-world scenario. Based on this the study suggests that policymakers and environmentalists may strive to achieve low carbon emissions using environment-friendly technology and less energy use. Lastly, the negative nonlinear impacts of blockchain technology and green investment must be considered in the carbon emissions released in the USA economy.

This paper analyses how green innovation, Fintech, natural resources, and gross domestic product shape the emission of CO2. The study hypothesises that these factors encompass intrinsic potential to predict CO2 emissions. Particularly, OECD countries have been selected to analyse the nexus because these elements, specifically Fintech, have been observing constant increases. Therefore, data from 1990 to 2021 has been sourced to carry out the analysis. The analysis was performed using a panel co-integration approach along with a fully modified ordinary least square and dynamic ordinary least square technique. The outcomes of the study reveal that significant association has been observed among the variables, suggesting that the hypothesised factors have a strong network. Further, the outcomes propose that CO2 emissions are reduced with increasing financial development, i.e., Fintech. This implies that economies have to contribute to their financial development to reduce emissions and ensure sustainable development. Moreover, an increase in natural resource rents increases CO2 emissions. Similar findings are obtained for GDP, where a 1% increase in GDP results in a 49% upsurge of CO2 emissions. These results infer that higher economic activities deteriorate the environment. Lastly, green technology notes optimistic results for sustainability as CO2 emissions are reduced when there is an increasing trend in higher green technologies.The findings of this study offer valuable insights for policymakers and economists in OECD countries and beyond as they navigate the complex landscape of sustainability and economic growth. The research addresses the critical need to strike a balance between economic development and environmental responsibility, providing a roadmap for achieving resilience in the face of resource scarcity and climate change.

Since the industrial revolution, the financial sector has become a significant claimant toward the growth of human society. However, supporting the adverse environmental projects in financial terms has raised several queries about creating a direct linkage between financial market products and the environment.This research examines the nexus between sustainability, green innovations, financial technologies (FinTech), financial development, and natural resources for BRICS economies during 2000–2019. Using the Method of Moments Quantile Regression (MMQR), the results show that FinTech and natural resources adversely impact environmental sustainability across all three ranges of quantiles (0.10th-0.30th, 0.40th-0.60, and 0.70th-0.90th).Conversely, green innovations and financial development promote environmental sustainability across lower to higher-order quantiles (0.10th-0.90th), while economic growth contributes to higher emissions at major quantiles. Similar findings are endorsed using alternative estimators and suggest practical policy implications.

FinTech ecosystem and business model development are extensively discussed in the literature. The adoption of innovative technologies and digital transformation has impacted the approach to carrying on the businesses and channels that offer financial highly reliable and instinctive services and products. This study primarily deals with the identification of data sets. Also, a systematic review protocol was created using the PRISMA method to describe the hypothesis and rational and planned techniques of the study. Blockchain technology has been employed in an assortment of sectors and used by several nations for improving ecological supportability. In fact, blockchain technology has been effective to increase green production, tracking and preserving environmental degradation and pollution-related data, and collecting and analyzing the low carbon or green data in real time for more timely decisions. There is a scarcity of literature on studying the impact of blockchain and cryptocurrency on adopting FinTech and its sustainability. Therefore, the aim of this study is to add to this body of literature an investigation on the impact of Blockchain and Cryptocurrency adoption on FinTech for the environment-friendly nature.

The rapid pace of economic development experienced by the BRICS countries is accompanied by increased carbon (CO2) emissions resulting from the excessive use of energy and natural resources. However, the emergence of recent technologies has led to the offering of efficient production methods with improved financing channels. This study analyzes the role of financial technologies, digitalization, natural resources, energy transition, and energy innovations on CO2 emissions. It also tests the moderating effect of human capital in BRICS countries from 1995 to 2021. Initially, Augmented Mean Group (AMG) estimation approach is applied to conduct empirical analysis. Due to asymmetric data distribution and non-linear relationships among variables, the Method of Moments Quantile Regression (MMQR) approach is also applied to estimate the effect of the variables across different quantiles of CO2 emission. The findings indicate that digitalization, financial technologies, energy transition, energy innovations, and natural resources reduce CO2 emission, whereas human capital increases it. However, the moderating effect of human capital on the association between digitalization, energy transition, and CO2 emission is significant and positive, indicating that human capital strengthens the negative impact of these factors on environmental degradation. Human capital does not significantly moderate the relationship of natural resources, financial technologies, and renewable energy innovations with CO2 emissions.