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The rapid technological and economic growth in CIVETS countries poses challenges to environmental sustainability. This study explores the intricate relationships between Information and Communication Technology (ICT), natural resource usage, and green innovation in these economies. Employing advanced statistical models uncovers long-term and short-term patterns, providing valuable insights for policymakers, stakeholders, and scholars. Key findings reveal that ICT diffusion can potentially reduce carbon emissions, while natural resource rent is linked to increased ecological footprints. Conversely, green technological innovation is promising in alleviating environmental degradation. The study underscores the importance of comprehensive policies integrating ICT diffusion, sustainable resource management, and green innovation. To achieve environmental sustainability, the study recommends responsible natural resource extraction, fiscal incentives for green innovation, digital tools for environmental monitoring, and international collaboration. Public awareness and sustainable urbanization practices guided by ICT are also crucial. These insights help policymakers balance economic development with ecological preservation in the CIVETS nations. [ABSTRACT FROM AUTHOR]

Introduction: This study investigates the complex relationship between economic growth, remittances (REM), export earnings (EEs), infrastructural development (IFD), and environmental sustainability (ES) in Bangladesh over the period from 1990 to 2020. Framed within the context of the Environmental Kuznets Curve (EKC) hypothesis, the research explores how these factors influence environmental outcomes and contributes to ongoing discussions on sustainable development. Methods: Utilizing advanced time-series modeling techniques, including autoregressive distributed lag (ARDL) and nonlinear ARDL (NARDL), this study applies unit root tests and co-integration analysis to examine the data. These methods allow for a detailed assessment of both short- and long-term relationships between the variables in question. Results: The findings confirm the EKC hypothesis, showing that economic growth initially leads to increased carbon emissions and environmental degradation, but further development contributes to environmental improvements. Remittances, however, significantly exacerbate carbon emissions and ecological degradation. On the other hand, technological innovation (TI) demonstrates a negative association with carbon emissions and ecological footprint (EF), highlighting its potential in supporting sustainable development. The impacts of export earnings and infrastructural development on environmental sustainability are mixed, with infrastructural growth in particular linked to environmental degradation. Discussion: The study's results underscore the importance of targeted policy interventions to balance economic growth with environmental sustainability. Policymakers should focus on mitigating the environmental impacts of remittance inflows and fostering technological innovation to achieve the Sustainable Development Goals (SDGs). While export earnings and infrastructural development play critical roles in economic progress, their environmental implications require careful management to ensure long-term sustainability. [ABSTRACT FROM AUTHOR]

This study investigates the pivotal role of green strategies in achieving carbon neutrality by exploring the synergistic contributions of green finance, green technological innovation, and green energy adoption. The study has implemented several panel data estimation techniques including second generation panel unit root test commonly known as CADF and CIPS, an error correction-based panel cointegration test, for documenting the elasticities of GF, GTI, and GE on carbon neutrality through Continuously-Update Fully Modified[CUP-FM], Continuously-Update Bias-Corrected [CUP-BC], and Dynamic Seemingly Unrelated Regression [DSUR]. The asymmetric coefficients have exploded with the implementation of a nonlinear framework, which is well known as NARDL. Our findings underscore the significance of green finance mechanisms in mobilizing resources for sustainable initiatives, including renewable energy projects and energy-efficient technologies. Study shed light on the catalytic impact of green Technological innovation in driving technological advancements, reducing emissions, and fostering economic growth. Furthermore, our study delves into the transformative potential of clean energy adoption, elucidating how it can substantially reduce carbon footprints and bolster the transition to a low-carbon economy. This study contributes to the growing body of knowledge on the critical nexus of green strategies and carbon neutrality, offering a roadmap for a more sustainable and environmentally responsible future. In a world grappling with the pressing challenges of climate change, our research offers valuable insights into the strategies that institutions, policymakers, and businesses can employ to facilitate the transition toward carbon neutrality. [ABSTRACT FROM AUTHOR]

The environmental degradation in the Middle East and North Africa (MENA) region leads to significant challenges regarding economic sustainability and the attainment of sustainable development goals (SDGs). The extensive use of fossil fuels in the region, as well as rapid urbanization and economic growth, has led to significant carbon emissions, together with unprecedented ecological footprints compromising environmental sustainability. The study aims to elucidate the influence exerted by technological innovation, trade openness, and natural resources on environmental sustainability in Turkey and Egypt for the period 1990–2022. In assessing the empirical relations, the study employed the Fourier function incorporate estimation techniques, that is, Fourier ADF for unit root test, Fourier ARDL, and Fourier NARDL for long-run and short-run elasticities of technological innovation (TI), trade openness (TO,) and natural resources rent (NRR) on load capacity factor (LCF) and inverted LCF (ILCF); finally, the directional causality evaluate through Fourier TY causality test. The results revealed that both Turkey and Egypt have severe environmental problems due to their high carbon emissions and ecological footprints. Technological change and international trade separately negatively affect environmental sustainability; however, these negative impacts have mixed character. On the one hand, technology can improve efficiency and reduce ecological footprints by obviating the use of high-impact processes or allowing cleaner production systems. In the same vein, trade openness helps transfer green technologies more quickly, but it can also lead to unsustainable resource extraction and pollution. The findings of the paper propose that in order to move forward, Turkey and Egypt need strategic policy shifts to ensure environmental sustainability, including transitioning towards renewable energy from fossil fuels while bolstering their capacity for energy efficiency. Policymakers must balance economic development with environmental conservation to reduce the harmful effects of climate degradation and help safeguard continued economic survival in the face of increasing climatic instability. This research helps to inform policy and investment decisions about how the SDGs can be achieved and how they are relevant for sustainable development in the MENA region. [ABSTRACT FROM AUTHOR]

To have enough financial literacy, an investor must be able to make intelligent investment choices, and on the other hand, the heuristic bias, the framing effect, cognitive illusions, and herd mentality are all variables that contribute to the formation of behavioral biases, also known as illogical conduct, in the decision-making process. The current research looks specifically at behavioral biases and financial literacy influence investment choices, particularly on stock market investment. For the research, a representative sample of 450 individual investors was evaluated. A structured questionnaire was designed using the Likert's scale method to elicit the research variables, and the data acquired were analyzed using the SEM method. According to the findings, there was a statistically significant link between heuristic bias and the development of behavioral bias in decision-making. Nevertheless, cognitive illusions, the herd mentality, and the framing effect all have a deleterious impact on behavioral biases. In addition, investors often adhere to heuristic biases rather than other irrational strategies when making investment judgments. Therefore, individual investors' financial literacy level greatly influences the choices made about investments in the stock market. [ABSTRACT FROM AUTHOR]

This study aims to explore the complex connection between green supply chain Management (GSCM) practices, relational efficiency, Job satisfaction, and operational efficiency, as well as the overall organizational performance of manufacturing companies. Utilizing a qualitative model as the basis of our study is essential for navigating this terrain. The present study used carefully designed questionnaires for collecting responses from operational-level managers and applied structural equation modeling (SEM) for inferential analysis, offering a detailed insight into the variables affecting organizational performance in GSCM. This study revealed a significant finding about the role of GSCM practices in connecting business performance and environmental responsibility, highlighting the vital link between sustainable business practices and organizational success. Manufacturing companies should acknowledge and manage the intricate relationship between internal and external aspects of GSCM to achieve smooth operational integration while reducing environmental impact. Our study emphasizes the importance of comprehensively analyzing the connection between GSCM practices and organizational performance. It highlights the need to address challenges to implement sustainable practices. By confronting these challenges directly, organizations can realize the complete capabilities of GSCM and strengthen their dedication to environmental responsibility. The research highlights obstacles and proposes a strategic management approach, providing a roadmap for effectively integrating GSCM into organizational structures. Understanding the relationship between business practices and their environmental impacts is crucial as we address climate change and environmental degradation worldwide. This study illuminates the mediating role of GSCM practices. It emphasizes the importance of manufacturing companies adopting a comprehensive approach to incorporating sustainability into their operational framework and promoting environmental resilience and organizational success. [ABSTRACT FROM AUTHOR]

His research investigates the interplay among investment in Information and Communication Technology [ICT], digital financial inclusion, environmental tax policies, and their impact on the progression of sustainable energy development within the Middle East and North Africa [MENA] region. Recognizing the distinctive hurdles impeding sustainable energy advancement, effective policy formulation and implementation in MENA necessitate a comprehensive understanding of these variables. Employing a Dynamic Common Correlated Effects [DCE] model alongside an instrumental variable-adjusted DCE approach, this study explores the relationship between ICT investment, digital financial inclusion, environmental tax, and sustainable energy development. The DCE model facilitates the analysis of dynamic effects and potential correlations, while the instrumental variable-adjusted DCE model addresses issues pertaining to endogeneity. The results indicate that both ICT investment and the promotion of digital financial inclusion significantly and positively impact sustainable energy development in the MENA region. Additionally, the study underscores the importance of environmental tax implementation in fostering sustainable energy advancement, highlighting the critical role of environmental policy interventions. Based on these findings, governmental prioritization of ICT investment and initiatives for digital financial service integration is recommended to bolster sustainable energy growth in MENA. Furthermore, the adoption of efficient environmental tax measures is essential to incentivize sustainable energy practices and mitigate environmental degradation. These policy recommendations aim to create a conducive environment for sustainable energy progression in the MENA region, contributing to both economic prosperity and environmental conservation. [ABSTRACT FROM AUTHOR]

Environmental protection holds a paramount position in the pursuit of sustainable development. The existing body of literature has extensively examined various driving forces for environmental enhancement, including renewable energy sources, innovation, and governmental interventions. This study aims to assess the impact of green investment, energy efficiency, and urbanization on achieving environmental sustainability in the MENA region during the period 2004–2019. A comprehensive set of econometric tools has been employed to achieve this goal, including the CADF and CIPS panel unit root tests, error correction-based panel cointegration analysis, Cross-sectional ARDL, and asymmetric ARDL models. The key findings of this research are as follows: Cross-sectional dependency and homogeneity tests demonstrated that the research units shared common dynamics and heterogeneity properties. The stationarity tests based on CIPS and CADF indicated that all variables became stationary after the first differencing. The panel cointegration analysis established a long-term relationship between green investment (GI), energy efficiency (EE), urbanization (UR), and environmental sustainability (ES) in MENA nations. Empirical model estimations using Cross-sectional ARDL revealed significant contributions of GI, EE, and UR to ES in the long and short run. The asymmetry assessment uncovered a nonlinear relationship between the explanatory and dependent variables, both in the long and short run. Specifically, the asymmetric coefficients of GI, EE, and UR displayed negative statistical significance at the 1% level, highlighting their significant roles in promoting environmental sustainability. In light of these findings, this study provides valuable insights for policymakers to formulate strategies to further environmental sustainability in the MENA region. [ABSTRACT FROM AUTHOR]

The motivation of this study is to gauge the asymmetric effects of economic policy uncertainty (EPU) on institutional quality (IQ) in India (Pakistan), spanning the period 2003Q1 to 2019Q4 (2010Q1 to 2019Q4). The study applied DF-GLS and Zivot–Andrew, ARDL bound test, nonlinear ARDL and directional causal with the Toda-Yamamoto causality test. According to the combined cointegration test, the long-run economic policy uncertainty was exposed to adverse association with institutional quality in India and Pakistan. Both long-run and short-run asymmetries were confirmed between EPU and IQ. The causality test revealed the feedback hypothesis in explaining the causality between EPU and IQ. [ABSTRACT FROM AUTHOR]