Environmental technology, economic complexity, renewable electricity, environmental taxes and CO2 emissions: Implications for low-carbon future in G-10 bloc

Role of natural resources, renewable energy sources, eco-innovation and carbon taxes in carbon neutrality: Evidence from G7 economies

Global warming has created problems for human life, and it has been increasing for a few years. All the developing and developed countries are establishing policies to attain zero carbon status. This study extends the ongoing debate on carbon emissions. It examines the effect of natural resources and RE (Biofuel and other renewable sources) on greenhouse gas (CO2 emission and PM2.5) emissions while using data over 22 years (1999-2021) from G7 countries. In addition, this study has investigated the effect of carbon taxes, financial development, and environmental policies on carbon neutrality. The cross-sectional-ARDL, the Common correlated effect means group (CCEMG), and the Augmented mean group (AMG) cutting-edge model have been employed. Quantile regression has been employed for robustness. The study results demonstrate that biofuel and other renewable energy (RE) sources, carbon taxes, environmental policy, and eco-innovation decrease greenhouse gas emissions (CO2 emissions). Meanwhile, financial development, and natural resource dependence positively impact carbon neutrality. The robustness result also verifies the findings from CS-ARDL, AMG, and CCEMG methods. The empirical findings are used to infer policy implications for G7 economies.

Interdependency and causality between green technology innovation and consumption-based carbon emissions in Saudi Arabia: fresh insights from quantile-on-quantile and causality-in-quantiles approaches

In this paper, we examined the asymmetric dynamics and causality of technological progress--proxied by green technology innovation--on both consumption-based carbon (CCO2) and territory-based carbon (TCO2) emissions in Saudi Arabia using quarterly data from 1990Q1 to 2021Q4. Our initial results reject the normality and linearity assumptions of data series and thus emphasize that the observed associations are quantile dependent. We firstly utilized the quantile-on-quantile regression (QQR) approach to draw the interdependency between green technology innovation and both CCO2 and TCO2 emissions. We found a strong emission-mitigating impact of green technology innovation only at (extreme) upper emission levels. We also identified a weak positive effect at (extreme) higher emission quantiles. Furthermore, we found that higher emission levels are linked with lower green technology innovation across all emission quantiles whereas a weak positive effect is perceived at lower and medium emission quantiles. We further utilized linear and nonlinear Granger causality-in- quantiles (GCQ) tests to capture an entire picture of the impact of green technology innovation on both CCO2 and TCO2 emissions. Under linear specifications of the quantile regression model, we found evidence of strong bidirectional causality between carbon emissions and green technology innovation across lower and upper quantiles. However, we found unidirectional causalities from carbon emissions to green technology innovation at medium quantiles of the conditional distribution. Besides, there is no causality at both extreme lower and extreme upper quantiles. Under nonlinear specifications of the quantile regression model, we found a weak unidirectional causality from green technology innovation to carbon emissions at (extreme) lower quantiles. We also found a weak unidirectional causality from carbon emissions to green technology innovation at medium and extreme upper quantiles. Overall, our findings indicate that green technology innovation helps abate both CCO2 and TCO2 emissions in Saudi Arabia. Our study shows policies that target green technology innovation would significantly change carbon emissions.

Harnessing digital solutions for sustainable development: a quantile-based framework for designing an SDG framework for green transition

The paper investigates how financial technology might help countries promote renewable energy and reach the Sustainable Development Goals (SDGs). It is generally agreed that FinTech (financial technology) has the ability to help achieve the SDGs by 2030 and promote a sustainable society through technology-driven solutions. The financial sector has launched greener investment options in order to mobilize substantial financial resources towards climate neutrality in the coming decade. To achieve the Sustainable Development Goals and the goals set forth in the Paris Climate Agreement, however, this procedure must be accelerated. With the use of the innovative "quantile-on-quantile (QQ)" technique, this study uses the data of top FinTech economies for the period 1990-2020 and provides country-specific insights into the relationship between FinTech and renewable energy. Using quantile causality analysis, we may identify the direction of causality between these variables at the observed extremes. An extensive long-term relationship between FinTech and renewable energy was found in all countries. The leading FinTech economies show a positive association between the two at most quantiles, and a bidirectional causality relationship is seen across significant quantiles. This highlights the considerable yet variable impact FinTech policies have on renewable energy and vice versa in these innovative economies. These results highlight the connection between growing FinTech and promoting a green transition to further Sustainable Development Goals and provide useful insight for policy formulation.

Unleashing the power of innovation promoters for sustainable economic growth: a global perspective

Achieving Sustainable Development Goals (SDGs) in an era of rapid economic growth poses a significant challenge for policymakers and researchers. This study investigates the interconnected relationships between economic growth, innovation promoters, and sustainable development using data from 102 countries between 2016 and 2022. Employing multiple linear regression (MLR) models, we identify crucial factors influencing sustainable development. Our findings reveal a multifaceted relationship between economic growth and sustainable development, emphasizing the need for tailored development strategies. We highlight the diverse roles played by innovation promoters across various country clusters. We discern patterns of change in sustainable development and innovation performance through a comparative analysis of country clusters over time. These insights carry significant implications for policymakers, underscoring the importance of context-specific approaches to achieve SDGs.

Environmental regulation, renewable electricity, industrialization, economic complexity, technological innovation, and sustainable environment: testing the N-shaped EKC hypothesis for the G-10 economies

This study examines the validity of the environmental Kuznets curve (EKC) hypothesis and the role of environmental regulation, renewable electricity, industrialization, economic complexity, and technological innovation in sustainable environment for the G-10 economies, namely, Belgium, Canada, Germany, Italy, Japan, Netherlands, Sweden, Switzerland, the United Kingdom, and the USA, from 1994 to 2020. We employed CS-ARDL (cross-sectional augmented distributed lag (CS-ARDL), FMOLS (fully modified ordinary least squares), and DOLS (dynamic ordinary least squares) for the analysis of the data. The estimates confirm the N-shaped EKC hypothesis between the GDP and CO2 emission. Moreover, the long-run estimates exhibit that environmental tax, renewable electricity, economic complexity, and technological innovation have negative effect on CO2 emission, while GDP, industrialization and arable land have positive effect on CO2 emission. Based on these findings, we propose that governments must implement large-scale government plans and initiatives to encourage the development of environmentally friendly technologies and ideas based on renewable energy. Moreover, further growing renewable energy, environmental policies like a carbon tax, investments in green technologies, subsidies, and rewards for renewable energy infrastructure investment should be taken into account.