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Asides from renewable energy consumption, technological innovation and remittances are mostly ignored as critical tools and resources that can be adopted to ameliorate environmental worries, even when remittances have more considerable resource inflow than official development aids. Based on this information, the current research investigates the implications of technological innovation, remittances, globalization, financial development, and renewable energy on CO2 emissions in top remittances-receiving countries from 1990 to 2021. To obtain reliable estimates, we use a battery of advanced econometric techniques and method of moments quantile regression (MMQR) method. The AMG results suggest that innovation, remittances, renewable energy, and financial development alleviate CO2 emanations, whereas globalization and economic growth worsen environmental sustainability by increasing CO2 emissions. Besides, the MMQR results confirm that renewable energy, innovation, and remittances decrease CO2 emissions across all quantiles. A bidirectional causality exists amid financial development and CO2 emanations, and across remittances and CO2 emissions. However, one-way causality flows from economic growth, renewable energy and innovation to CO2. This study suggests some essential measures for ecological sustainability in light of the findings. [ABSTRACT FROM AUTHOR]

There is a plethora of studies on the energy–consumption–environmental–quality nexus. Nevertheless, empirical research on the impact of global uncertainties on environmental quality is lacking. This study contributes to the literature by examining the impact of economic policy uncertainty (EPU), geopolitical risk (GPR), and economic complexity on the ecological footprint and carbon emissions of E7 economies for the period 1995–2018. Our empirical results indicate a long-term relationship between economic complexity, EPU, GPR, energy consumption, and two environmental quality indicators, carbon dioxide emissions and ecological footprint. In the long run, a divergence from disequilibrium takes 3 years to return to the equilibrating position. The environmental effects of key determinants are different in terms of direction, magnitude, and time span. Specifically, an inverted U-shape describes the relationship between economic complexity and environmental degradation in the long-term only, which confirms the environmental Kuznets curve (EKC) hypothesis. The environmental effects of EPU and GPR are harmful in the short run but prove to be beneficial in the long run. Higher energy consumption significantly degrades environment quality as expected. Based on these findings, the paper provides several useful suggestions for policymakers in the context of E7 countries. [ABSTRACT FROM AUTHOR]

This paper empirically examines the effect of biomass energy consumption and economic complexity on environmental sustainability in G7 economies. The current study attempts to report a comprehensive analysis of biomass energy and economic complexity on ecological and carbon footprints and carbon emissions. We employ data from 1990 to 2019 and adopt robust panel econometric techniques that account for the analysis's cross‐sectional dependence. We conduct cointegration analysis, pooled ordinary least squares (OLS), system generalized method of moments (GMM) and conditional quantile model for our empirical analysis. The empirical findings show that both biomass energy consumption and economic complexity are detrimental to the ecological footprint and carbon footprint. Additionally, we find that globalization positively affects the environment, while we find some evidence that bureaucratic quality improves environmental quality. Finally, in line with other research, we find that economic growth has detrimental effects on the environment. Our results suggest that policymakers should be more cautious in promoting biomass as a clean energy source and that the G7 economies should take advantage of their leading position in innovation to invest more in sustainable practices and investment. [ABSTRACT FROM AUTHOR]

A retraction note was issued for the article titled "Technological innovations, renewable energy, globalization, financial development, and carbon emissions: role of inward remittances for top ten remittances receiving countries" published in Environmental Science & Pollution Research. The retraction was made due to concerns about compromised peer review processes, inappropriate references, and the article not being within the scope of the journal. The authors of the article disagreed with the retraction decision. [Extracted from the article]

The study investigates the effect of international tourist advents on carbon dioxide discharges in a panel set of hundred countries ranked in order of arrival of tourists over 1995 to 2014, under the background of EKC (Environmental Kuznets Curve) postulate. A multivariate model is adopted grounded on the "Kaya Identity" where the long-run relation concerning the arrival of tourists and carbon dioxide released into the atmosphere are examined through the linkages of economic growth (proxied through new night light data sets), energy intensity use, physical capital formation and human capital formation. The results based on the panel cointegration corroborates the long-run equilibrating association across the set of observations. The methodology of FMOLS, the mean group estimates, DOLS estimation and the Correlated Effects Mean Group estimate enumerate the long-run estimates. Further the results confirm the following causality relationships: tourism-driven emission; economic growth led emission; tourism-driven growth of the economy and gross capital in fixed terms leading the growth of the economy in the short run, built on the Granger causality Wald test. The paper concludes that proper policy direction towards sustainable tourism can reduce emission from tourism in the long run. R and D should focus on the development of green technology and cleaner technology in the tourism ancillary industries. [ABSTRACT FROM AUTHOR]

One mystifying outcome in the literature on renewable-economy-environmental causality is the inconsistency of outcomes specifically across various sample sizes, model specifications, and periods. Considering such difficulties, the study applies Bootstrap Rolling Window Granger Causality (BRWGC) test with fixed-size rolling sub-samples to evaluate connections. The data used incorporates REC, EG, and CO 2 emissions for G-7 nations between 1970 and 2021. Using the full-sample, it is observed that there is predictive power from REC to EG only in the USA and UK while there is predictive power from REC to CO 2 emissions in the USA and Italy. However, full-sample outcomes are unreliable because models do have not parameter constancy based on parameter instability tests. Similar to full-sample results, BRWGC estimation results do not present evidence of a consistent relationship from REC to EG and CO 2 emissions. However, it is discovered that causal interrelationships exist between the series in a number of the sub-samples. Additional evidence that the results are not statistical artifacts but rather reflect actual economic shifts comes from the fact that these sub-sample times coincide with important economic events. The findings of this study complement earlier research and provide a rationale for divergent outcomes. [ABSTRACT FROM AUTHOR]

This study explores the association between economic complexity (ECI), tourism, urbanization, globalization, natural resources and renewable energy on carbon dioxide emissions, ecological footprint and carbon footprint in the framework of the Environmental Kuznets Curve in the context of the G7 countries for the period 1990 to 2018. The study has employed second-generation cointegration methods. The results from the F.M.O.L.S. and D. O.L.S. methods describe the mitigating impacts of tourism on the dilapidation of the environment. Further, the Environmental Kuznets Curve is verified in the context of the G7 countries. The ECI reduces ecological footprint in the long run for the G7 countries but enhances carbon dioxide emissions. The empirical outcomes based on Dumitrescu and Hurlin Panel Granger causality test describe that any policy direction to increase tourism, renewable energy, economic growth, and urbanization has a considerable impact on the quality of the environment. The robustness tests confirm the model specifications. Based on the rigorous empirical discussion, we suggest that tourism, renewable energy and globalization would help to alleviate environmental degradation in the G7 countries. The study concludes with important policy suggestions against the backdrop of Sustainable Development. • Explored the climate vulnerability nexus by exploring the tourism industry. • On panel data sets of the G7 countries from 1990 to 2018. • Environment degradation indicators: carbon dioxide, ecological and carbon footprint. • Explored the role of EKC. • Used second generation panel estimation methods. [ABSTRACT FROM AUTHOR]

The objective of this study is to scrutinize the major drivers of energy consumption and carbon dioxide emissions in an augmented model framework. The roles of eco-innovation, economic complexity, institutions, and globalization are examined in the context of two sets of heterogeneous panel observations, namely the G7 and E7 countries from 1991 to 2017. The estimated results obtained from the Fully Modified Least Square, Dynamic Ordinary Least Squares, and Canonical Correlation Regression demonstrate the effectiveness of eco-innovation in reducing the intensity of energy use in G7 countries. Eco-innovation is also found to be beneficial for controlling carbon emissions in G7 countries. In contrast, the impact of eco-innovation on the E7 countries is harmful as far as energy efficiency and carbon emissions are concerned. Such contrasting behaviors across the two panel sets of observations validate the postulation of the "rebound effects" of environmental-related technologies in the latter group. The findings further indicate the existence of an inverted U-shaped relationship between economic complexity and carbon emissions for G7 countries. In contrast, the E7 countries experience a U-shaped relationship. Both institutions and globalization are significant determinants of environmental quality in G7 and E7 countries. There is an urgency to reinforce the commitment towards the application of eco-technology for efficiency in energy use in G7 countries. As far as the E7 countries are concerned, the governments should optimize the gains from globalization to develop energy efficiency and carbon abatement strategies. • The paper analyses the effects of eco-innovation and economic complexity on energy uses and carbon emissions in G7 and E7. • There exist heterogeneous relationships between the concerned variables. • The eco-innovation reduces energy consumption and carbon emissions in G7 but intensifies environmental problems in E7. • The environmental effects of economic complexity in G7 (E7) follow an inverting U-shape (U-shaped) relationship. • Institutional quality and globalization reduce (increase) energy uses and carbon emissions in G7 (E7). [ABSTRACT FROM AUTHOR]

This paper explores the impact of an environmental tax on carbon emissions for the G7 nations from 1994 to 2014 and the importance of the major drivers of emissions such as energy use, economic complexity, natural resources rent and economic growth. The study also verifies the Environmental Kuznets Curve Hypothesis for the G7 countries and explores the marginal effects of an environmental tax on traditional energy consumption, natural resources rent and renewable energy consumption. This paper's unique contribution is that it investigates for the first time the moderating role of an environmental tax on renewable and non-renewable energy consumption, natural resources rent and CO 2 emissions. The results suggest that environmental taxes effectively reduce emissions for the G7 countries and confirm that the marginal effects of the environmental tax on traditional energy consumption, natural resources rent and renewable energy consumption rise with the level of taxation in a statistically significant way. The findings indicate that strict environmental tax laws will allow businesses to shift production towards cleaner methods. Finally, the paper proposes that redistributing tax revenues to the research and development of sustainable technology programmes would empower the nations to achieve the United Nations' SDG-7 and SDG-13 goals. Flow Diagram on the nexus between emissions, tax, economic complexity, energy and economic growth. [Display omitted] • The paper analyses the effects of economic complexity on carbon emissions. • Environmental tax affects directly carbon emissions. • Environmental tax lessens the effect of energy consumption and natural resources. • Environmental tax amplifies the effect of renewable energy consumption. • The EKC hypothesis is validated for economic complexity in G7. [ABSTRACT FROM AUTHOR]

Achieving sustainable environmental development, while further avoiding environmental degradation is an unprecedented challenge for policymakers. This article aims to explore whether the Environmental Kuznets Curve (EKC) hypothesis holds if the relevant carbon emissions modelling approach includes both energy consumption and the Konjunkturforschungsstelle (KOF) globalization index. The analysis is performed through panel methods and for 67 developed and developing countries, spanning the period 1971–2018. The empirical results demonstrate that there is a significant and positive association between globalization and carbon emissions. At the same time, higher GDP increases carbon emissions, while higher coal energy also leads to higher emissions, with the coefficient of the squared GDP turning out to be negative, which lends amble support to the validity of the EKC hypothesis. The findings of this article might be helpful in policy making regarding overall energy structure, carbon emissions, and globalization trends in developing and developed countries. [ABSTRACT FROM AUTHOR]

This study contributes to the environment-growth nexus literature by examining corruption's effect on environmental quality in 17 Middle East and North Africa (MENA) countries between 1984 and 2018. We use four different indicators of environmental degradation (ecological footprint, carbon dioxide emissions, greenhouse gas emissions, and carbon emission intensity) to gain a comprehensive view of the relationship. This study's methodological value added is the application of the method of moments quantile regression, which enables us to account for different relationships between the independent variables and environmental quality at different levels of environmental degradation. The results indicate that corruption worsens environmental quality based on three of the four indicators of environmental degradation, while the impact appears to become less severe at higher levels of environmental deterioration. The results also indicate that traditional mean-based panel data estimation methods provide an incomplete picture of the factors behind environmental problems: The explanatory variables' impacts tend to vary at different levels of environmental quality, and the impact's sign can even change when moving from the lowest to the highest environmental degradation quantiles. Overall, the results highlight the importance of curbing corruption to enable enforcement of more stringent environmental regulations. [Display omitted] • The effect of corruption on environmental degradation is investigated. • We used the Method of Moment Quantile Estimations. • Corruption worsens environmental quality in the MENA region. • Corruption increases ecological footprint, GHG emission and carbon emission intensity. [ABSTRACT FROM AUTHOR]