Dash, Devi Prasad

In this article, we investigate how energy uncertainties influence bank behavior. To achieve this purpose, we use a dataset of 4632 banks in the Eurozone between 2000 and 2022. We observe that, in response to growing energy uncertainties, banks reduce the cost of credit and increase their loan offers (especially corporate loans). This increase in loan supply leads to an increase in customer deposits. This in turn improves the bank's performance. © 2024

Climate change and agriculture are closely related and have an impact on each other. Although a number of research have been conducted on the subject, none have specifically studied the ECA connection in Asian developing economies. The aim of this study is to examine how agricultural productivity in emerging Asian economies—China, India, Japan, Malaysia, Indonesia, Bangladesh, Nepal, Pakistan, Sri Lanka, The Philippines, Thailand, and Vietnam—is affected by temperature changes brought by climate change and the use of renewable energy sources. This study used the FMOLS and DOLS methods to analyze data from Asian developing economies from 1990 to 2018. The long-run estimates reveal that renewable energy positively enhances agricultural production, while climate change negatively affects agricultural production. Furthermore, the input factors such as agricultural land, fertilizer use, and rural labor force play an essential role and increase agricultural production. Additionally, the causality tests confirm that all studied variables significantly influenced agricultural production in the selected Asian-12 economies. Finally, based on these outcomes, several implications for sustainable agricultural production and better environmental quality are suggested for Asian economies.

Despite having multidimensional positive externalities of renewable energy (RE) in theory, the literature on RE's economic and environmental determinants is still very nascent. We have addressed this research gap by considering a balanced panel of 38 OECD nations attempting a phase-by-phase energy transition. We have used data spanning from 2000 to 2020 and deployed the novel method of moments quantile regression (MMQR) approach. Our results unveil that economic complexity reduces the consumption of renewable energy among the OECD nations, indicating that as the export becomes diversified, energy consumption at the production level becomes more dependent on non-renewable sources. This further suggests that OECD nations are yet to meet their renewable energy generation threshold. Moreover, energy efficiency fosters the consumption of renewable energy, substantiating that energy efficiency and renewable energy share complementary co-movement among the OECD nations. Furthermore, we unravel that environmental technology and natural resource rent have heterogeneous effects on renewable energy consumption in OECD. For instance, environmental technology only boosts RE consumption at the higher quantiles (70th to 95th), whereas revenue from natural resource rent curbs RE consumption. Our conclusions hold after a series of robustness checks. Overall, we propose that OECD nations should only export those products with absolute comparative advantage to reduce excessive dependence on fossils. Additionally, investment in renewable energy technology development should be escalated to ensure energy efficiency in the long-term.

With the emergence of new environmental challenges, the direction of environmental research is changing exponentially. To implement anti-warming and pro-environmental interventions, it is vital that we adopt robust and reliable measures of environmental degradation. Any exception to this will breed inaccurate forecasts, generating loopholes in the policies. Thus, in a groundbreaking occurrence within the realm of literature, we juxtapose how trade-adjusted emissions (CCO2) and total emissions (CO2) respond as we set shock on environmental technology (EVT), economic complexity index (ECI), natural resource rent (NRT), research and development (R&D), and energy efficiency (EFX) from 2000 to 2020 across the OECD nations. We also control GDP and renewable energy consumption (RWE). The findings of the novel non-parametric method of moments quantile regression (MMQR) reveal that EVT has an insignificant positive impression on CCO2, whereas it has a heterogeneous impact on CO2 emissions. Moreover, ECI cuts trade-adjusted emissions, indicating that complex economies like OECD’s have better emissions reduction potentiality through export diversification. However, we unveil a paradoxical relationship in the ECI-CO2 nexus since total emissions do not account for trade-adjusted emissions. R&D surges CO2 and CCO2 emissions, where the latter is statistically insignificant. Furthermore, EFX increases total emissions, indicating a rebound effect among the OECD territories. We also note different causal relationships to rectify the results’ robustness. Our novel findings thus enrich the streaming literature by juxtaposing how different measures of environmental degradation respond over a series of empirical shocks and establishing that trade-adjusted emissions are better indicators of environmental degradation, exclusively in the context of complex economies.

With the emergence of new environmental challenges, the direction of environmental research is changing exponentially. To implement anti-warming and pro-environmental interventions, it is vital that we adopt robust and reliable measures of environmental degradation. Any exception to this will breed inaccurate forecasts, generating loopholes in the policies. Thus, in a groundbreaking occurrence within the realm of literature, we juxtapose how trade-adjusted emissions (CCO2) and total emissions (CO2) respond as we set shock on environmental technology (EVT), economic complexity index (ECI), natural resource rent (NRT), research and development (R&D), and energy efficiency (EFX) from 2000 to 2020 across the OECD nations. We also control GDP and renewable energy consumption (RWE). The findings of the novel non-parametric method of moments quantile regression (MMQR) reveal that EVT has an insignificant positive impression on CCO2, whereas it has a heterogeneous impact on CO2 emissions. Moreover, ECI cuts trade-adjusted emissions, indicating that complex economies like OECD’s have better emissions reduction potentiality through export diversification. However, we unveil a paradoxical relationship in the ECI-CO2 nexus since total emissions do not account for trade-adjusted emissions. R&D surges CO2 and CCO2 emissions, where the latter is statistically insignificant. Furthermore, EFX increases total emissions, indicating a rebound effect among the OECD territories. We also note different causal relationships to rectify the results’ robustness. Our novel findings thus enrich the streaming literature by juxtaposing how different measures of environmental degradation respond over a series of empirical shocks and establishing that trade-adjusted emissions are better indicators of environmental degradation, exclusively in the context of complex economies. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

As the metaverse emerges as a new frontier of human interaction, understanding public perceptions of crime in virtual spaces becomes crucial. This study delves into public perceptions of such crimes, focusing on reported incidents of sexual assault in virtual reality environments. We uncover complex dynamics, shaping threat perception in immersive digital realms by analysing YouTube comments through an innovative mixed-methods approach combining machine learning and empirical analysis. Our findings reveal that social norms and expectations are pivotal in influencing perceptions of threats, while technology-mediated interactions correlate with reduced perceived risks. Surprisingly, the oft-discussed blurring of virtual and physical realities shows no significant impact on threat perception. This research contributes to the expanding literature on the social construction of reality and public perception of emerging technologies. The results have implications for the development and governance of metaverse platforms, highlighting the necessity for comprehensive user education initiatives and culturally sensitive approaches to community guidelines and safety features. © 2024 Elsevier Ltd

Carbon neutrality has emerged as a pivotal strategy to mitigate climate change and reduce carbon emissions in response to the global climate crisis. This study investigates the influence of renewable energy use, green technology innovation, green growth, information and communication technology (ICT), and political risk on carbon dioxide (CO2) emissions in the E−7 countries from 1995 to 2022. After confirming the significant cross-sectional dependency issue, this study employs the Driscoll-Kraay and cross-sectional autoregressive distributive lag (CS-ARDL) models to estimate the robust and reliable findings. The results confirm that both renewable energy consumption and green technological innovations significantly reduce CO2 emissions, whereas ICT exerts a negatively insignificant effect. On the contrary, green growth significantly amplifies CO2 emissions, while political risk positively affects CO2 emissions in the long-run. Consequently, this study suggests that policymakers should focus more on integrated strategies that promote renewable energy and green technology while managing green growth and minimizing the risk involved in the political system to achieve the targets of carbon neutrality in E−7 economies. © 2025 Elsevier Ltd

The notion that external financial assistance and foreign capital inflows impacting economic growth remain prevalent across development literature. We explore this relationship in the context of 16 emerging Asian economies by incorporating several macroeconomic parameters like inflation rate, domestic investment, and exchange rate. We employ the estimation techniques like FE-GLS and GMM (generalized method of moments) methods. Our results reveal that foreign aid complements FDI (foreign direct investment) and enhances economic growth. The combined effects of both aid and FDI on growth is positive and statistically significant. We then provide the evidences of positive association of financial development, trade openness, domestic investment, and inflation to economic growth. This overall state that economies must retrospect the aid scenario by harnessing positive effects and try to be self-reliant by augmenting the domestic investment, institutions, and attracting more capital inflows over the year.

This study compares the relationships between important macroeconomic variables and outward foreign direct investment (OFDI) in the economies of the BRICS and N-11 countries between 1990 and 2019. The analysis employs a comprehensive econometric framework, with ordinary least squares (OLS) serving as the baseline model, followed by three-stage least squares (3SLS) to account for simultaneous relationships, and the generalized method of moments (GMM) for the robustness check to handle any endogeneity. The primary macroeconomic factors that are examined are GDP, financial development, trade openness, technological advancement, human capital, and inward foreign direct investment. The empirical results verify that, in both groups of economies, OFDI has a long-term positive and significant correlation with GDP, financial development, and trade openness. GDP is also identified as a critical outcome variable in the 3SLS model, which shows that higher GDP levels are associated with increased trade openness, financial development, and OFDI. There is conflicting evidence regarding the magnitude and statistical significance of these associations, and their direction and strength differ among models and country groups. These results demonstrate the intricate relationship between OFDI and macroeconomic factors, emphasizing the necessity of distinct policy strategies adapted to the institutional and structural realities of the N-11 and BRICS economies.