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Despite the harmonisation process within the EU area, there are many economic and political differences among European countries in promoting energy policies. Moreover, the status of implementation of environmental tax reforms in the new EU countries is very different from that in the old EU countries, and the economic and environmental impacts of such taxation are diverse. The objective of this paper was therefore to investigate whether the role of environmental taxes in reducing final energy consumption is the same in old and new EU countries. The analysis was conducted for 16 old and 11 new EU member states over the period 1995–2020 using Pooled Mean Group (PMG) and Mean Group (MG) estimators. The results indicate that environmental taxes have a negative long-term impact on final energy consumption in both groups of countries. However, this impact is much smaller in the new EU countries. Moreover, economic growth and greenhouse gas emissions increase final energy consumption. These results also suggest that in order to achieve climate neutrality by 2050, the new EU countries need to apply some stringent regulations and introduce further institutional and environmental reforms that support increasing the share of clean energy sources in the energy mix. [ABSTRACT FROM AUTHOR]

This is a perspective, about the future climate policy of Pakistan, to improve the harvest of Green Climate Funds (GCF). This paper takes upon the calculation of climate financing potential in the context of the energy sector of Pakistan by estimating the potential of becoming a net-zero sector in Pakistan's Economy. The study has identified several options for the government to reallocate the energy mix and tie the energy demand targets with climate targets for a green future of Pakistan. The study has used basic excel tools to calculate facts from the available data sets in Pakistan. The study found that, if Pakistan chooses to shift from dirty sources of energy production to the use of cleaner inputs for energy production, Pakistan can generate a significant amount of climate finance by reducing the emissions from energy production, which are recordable, traceable, and can be evaluated by any of the third-party evaluating organization. The initial cost for Pakistan will cause some discrepancies in some of the macroeconomic indicators and may also cause budget imbalances it will surely help the economy to achieve the targets of becoming a net-zero economy and be able to harvest Green Climate Funds in long term with much faster rate, which can overpass the investments made or being made in this sector and will create a significant amount jobs in the economy, which will be green jobs, promoting environmental friendly output and sustainable growth. [ABSTRACT FROM AUTHOR]

In tandem with global initiatives to 'go green', China is undertaking a series of steps to achieve green economic growth. To investigate the dynamic nexus of green growth, green trade, and green energy (3 G) in China, an index is developed in this study to assess the level of provincial green growth by employing five types of indicators – economic growth, environmental pollution loss, carbon emissions loss, natural resource loss, and environmental and natural resource benefits. Then, this paper uses the SYS-GMM method to explore the influences of green trade and green energy on green growth by using data compiled from 30 provinces in China over the period 2007–2016. Furthermore, we check the potential heterogeneity, asymmetry, and internal mediating mechanism of the 3 G nexus. The main findings are highlighted as follows: (1) Green trade and green energy can accelerate China's green growth; (2) enhancing medium- and high-technology green trade can contribute to improving local green growth; (3) this impact is heterogeneous in regions with different trade levels, and asymmetric at various quantiles for the full panel; (4) the positive investment effect, labour effect, and technical effect are effective mediators of the nexus between green trade and green growth. [ABSTRACT FROM AUTHOR]

This study is aimed at establishing the impact of foreign direct investment and financial development on carbon dioxide emission and clean energy using 44 countries in sub-Saharan Africa ranging from 1998 to 2017. Employing a second generation unit root test in conjunction with Pooled Mean Group, the study established that financial development have significant positive impact on clean energy consumption in sub-Saharan Africa. This was found to be consistent in both low-income and middle-income countries in sub-Saharan Africa. Financial development is however found to be significantly negative with carbon dioxide in sub-Saharan Africa and middle-income countries. This relationship is only positive in the low-income countries. Foreign direct investment does not have any significant impact on clean energy consumption in sub-Saharan Africa. A significant impact is noted after the decomposition of the sample into low-income and high-income countries. In low-income countries, foreign direct investment inflows impact positively on clean energy consumption. This relationship is however negative with middle-income countries. The link between foreign direct investment and carbon dioxide is significantly positive in the whole sample and also in low-income countries. These long-run relationships have been confirmed by the causality test. [ABSTRACT FROM AUTHOR]

This study examines the trends in environmental sustainability and human well-being through green technologies, clean energy, and environmental taxes using panel data for the top eight advanced economies from 1990 to 2018. The study applies an advanced panel technique, cross-sectionally augmented distributed lags (CS-ARDL), to find long-run and short-run associations between these variables. Moreover, the role of foreign investment is added as a control variable. The CS-ARDL estimation confirms the productive impact of green technologies on environmental and human well-being, providing that it helps to reduce haze pollution while promoting human development. Moreover, clean energy and environmental taxes contribute toa sustainable environment and human development. Moreover, foreign investment is a direct source of haze pollution because of more industrialization and economic activities. The study finally recommends strengthening the promotion of green technology and clean energy to achieve both environmental and human well-being in the long run. [ABSTRACT FROM AUTHOR]

Sustainable energy (SE) transition and environmental quality have become a predominant part of integral policy worldwide. Besides, economic development policies at global level are being reformulated to make sure that energy supplies are reliable and have the tendency to protect environment. Although, economies are participating in activities which can help to fulfill overarching goals but developing economies specifically face challenges due to high dependency on coal consumption. The article, thereby, intends to explore the role of green financial innovation, eco-financing, carbon taxes, and economic openness on the SE transition in Vietnam. The study also checks the role of inflation and industrialization on the SE transition as control variables. The article also used Dynamic Auto-regressive Distributed Lags (DARDL) to test the connection among the variables. The outcome indicated that green financial innovation, eco-financing, carbon taxes, economic openness, inflation, and industrialization have a positive and significant linkage with the SE transition in Vietnam. These outcomes provide guidelines to policymakers in establishing new policies regarding SE transition. [ABSTRACT FROM AUTHOR]

Financial development and green technologies are imperative to accomplish sustainable development goals in developed and developing economies. Therefore, this study examines the dynamic influence of renewable energy consumption, financial development, and green technology innovations on carbon dioxide emissions using selected Asian countries' data from 1990 to 2019. It applies the Cross-Sectional Augmented Distributed Lag model to address the slope heterogeneity and the cross-sectional dependency issues in our panel. The long-run results revealed that financial development increases carbon emissions while green innovation and renewable energy consumption reduce emissions. Nevertheless, the emissions mitigating effects of both variables significantly varied, and green innovation possesses a more substantial impact on emissions reduction. The short-run results also produce similar outcomes; however, their coefficient's magnitude is relatively lower. Moreover, the error correction term is significantly negative, suggesting a 25% speed of adjustment in case of any deviation from steady-state equilibrium. These results suggest integrating renewable energy and green technology innovation into the financial sector to neutralise its negative consequences. [ABSTRACT FROM AUTHOR]

GHG emissions growth of Vietnam is highest all over the globe and the carbon intensity of this economy is considered second highest in Asian economies. As the energy intensity level is rising constantly, thereby, the predictions indicate that Vietnam will become highest GHG emission in the region. In order to address the issue, the current article aims to investigate the impact of green finance, technology advancement, energy efficiency, industrialization, and population growth on sustainable development in Vietnamese context. The time chosen for the study is 1991 to 2020. The study has used the Dynamic Auto-regressive Distributed Lags (DARDL) and the Bayesian Auto-regressive Distributed Lags (BARDL) model for data analysis. Findings exposed that green finance, technology advancement, REO, REC, industrialization, and population growth all are positively connected with sustainable development. The study guides the regulators in establishing regulations related to sustainable development through the adoption of green finance, energy, and technology. [ABSTRACT FROM AUTHOR]

Since the last three decades, the natural resources and energy sector has been regarded as a substantial determinant of economic growth and prosperity. However, the literature is still contradictory and scant for BRICS economies and needs more empirical evidence for appropriate policies. This study aims to analyze the influence of natural resources and cleaner energy on economic performance in the presence of consumption expenditure. Using second-generation diagnostic, unit root, and cointegration tests, the results verify the long-run equilibrium association between the variables during 1990-2021. Due to non-linear data dispersion, the study uses the method of moment quantile regression. It concludes that both natural resources and cleaner energy have an asymmetric influence on the economic growth of these nations. The region's significant factors of economic growth are electricity production from renewable sources and oil rents. Renewable electricity output and mineral rents adversely affect economic growth and performance. Besides, consumption expenditure is also negatively and significantly affecting economic growth. Based on the empirical outcomes, this study also suggested policies that could benefit the BRICS economic growth and performance. [ABSTRACT FROM AUTHOR]

The association between resource rents and economic growth is one of the key issues that have attracted the attention of both policy-makers and scholars. Several attempts have been made regarding the association, yet the literature holds the gap. The present research intends to explore the connection between natural resource volatility and economic performance in seven (G-7) countries. For the time frame from 1990 to 2020, this study also examines the role of technological innovation (TI), human capital (HCI), and research and development budget for renewable energy (RER&D). Empirical results asserted that the variables under study are cointegrated. Employing a novel non-parametric panel quantile method of moments regression and quantile-on-quantile, the outcomes propose that natural resources volatility significantly affects EP throughout the quantiles. This negative impact is valid for the aggregate panel of countries and cross-sections. Natural resource volatility supports the resource curse hypothesis for G7 economies. On the other hand, HCI and TI are significant economic performance factors. From lower to higher quantiles, the magnitude and significance levels increase. The variable for cleaner energy investment is also positively related to economic performance yet insignificant in the higher quantile. The study recommends channeling natural resource rents to effectively and fully transfer the full potential of natural resources to other real sectors of the economy to fully utilize the benefit from it. [ABSTRACT FROM AUTHOR]

Humanity is in more danger from escalating greenhouse gas (G.H.G.) emissions, making the world warmer. The study examined the relationship between China's environmental technologies, ecological innovation, and carbon emissions using time-series data from 1975 to 2020. The N.A.R.D.L. approach is used to examine the cointegration of variables in the short and long run. In the short run, environmental technologies, industrialisation (I.N.D.), positive shocks to natural resource depletion (N.R.D.), negative shocks to renewable energy (R.E.) use, and technical advancements affect carbon emissions. On the other hand, positive shocks to environmental technologies and financial development (F.D.), negative shocks to N.R.D., R.E. consumption (E.C.), and technical innovation all have a long-term effect on carbon emissions. Granger causality was used to examine the causal link between variables. According to the findings, environmental technologies, F.D., technical innovation, N.R.D., and economic growth (E.G.) cause carbon emissions. The impulse response function revealed an inverse link between asymmetric environmental technology and carbon emissions. In contrast, F.D. and N.R.D. directly affect environmental degradation over time. The outcome of the variance decomposition revealed that negative shocks of F.D. would likely exert greater pressure on achieving sustainable environmental agenda. Investment in environmental technology, F.D., technological innovation and R.E. should be encouraged by the Chinese government to achieve sustainable prosperity. [ABSTRACT FROM AUTHOR]

Environmental degradation is one of the main concerns for the countries across the globe, where energy efficiency (E.N.E.F.) is regarded as one of the substantial remedial measures. Still, the factors affecting E.N.E.F. is not extensively explored in the empirical literature. In this sense, the current study tends to analyse the influencing factors of E.N.E.F. in case of the G7 economies throughout 1990–2020. Since this study is dealing with the panel data, therefore, various panel data specifications are used, which validates the slope heterogeneity, panel cross-section dependence (C.D.), and the existence of cointegration between E.N.E.F., economic growth, renewable energy, energy related inflation, and political risk index (P.R.I.). Due to mixed integrating order, this study employed Cross-Sectional Autoregressive Distributed Lag (C.S.-A.R.D.L.) approach, which reveals that all the variables are significant and positive factors of E.N.E.F. in both short and long-run. Also, the results reveals the convergence of model towards the equilibrium with 83.7% speed of adjustment. To tackle the panel data issues such as slope heterogeneity and C.D., this study employed Dynamic Common Correlated Effects–Generalised Method of Moment (D.C.C.E.–G.M.M.), which also indicates the positive and significance influence of the selected variables on E.N.E.F. The estimated results are validated by Augmented Mean Group (A.M.G.) estimator. Moreover, bidirectional causal nexus is found between E.N.E.F. and regressors (economic growth, renewable energy, energy related inflation, and P.R.I.). This study also provides relevant policy measures at the end. [ABSTRACT FROM AUTHOR]

This study examines the relationship between green energy, non-renewable energy, financial development, and economic growth with carbon footprint by using panel data from 63 emerging and developed economies for the time period from 1990 to 2020. The study utilises second-generation panel data econometrics techniques to investigate cross-section independence and adjust for cross-section heterogeneity. The studies also used the CIPS and CADF unit root tests, Wester Lund bootstrap cointegration techniques, and AMG and CCEMG heterogeneous panel causality techniques. The findings show that, over the long run, all variables are cointegrated. Additionally, the data indicate that non-renewable energy consumption leads to carbon footprint, whereas green energy reduces environmental degradation and supports the reduction of environmental hazards. Likewise, financial development has a considerable negative effect on environmental degradation. A statistically significant bidirectional correlation is found between green energy, nonrenewable energy, financial development, economic growth, and carbon footprint according to the Dumitrescu-Hurlin causality test. Finally, according to the findings of the study, the economies that were examined should use more green energy in order to reduce their carbon footprint. [ABSTRACT FROM AUTHOR]

One of the most controversial concerns among the researchers is the expansion of the green bond markets, so as to reduce environmental pollution. The present study estimates the factors that help drive the global green bond markets, such as energy prices, gold prices, and green energy stocks. The study has applied Quantile Autoregressive Lagged Approach (QARDL) and Quantile Granger Causality test to estimate the causal relationship among the variables for January 2010 and June 2021. The QARDL findings reveal that for all the quantiles, the error correction term is statistically significant with the predicted negative sign. This confirms the existence of a strong long-run equilibrium relationship between the relevant variables and the green bonds market on a global level. The findings revealed that gold and energy prices have a lower effect on the green bonds market on every quantile, and also from the low to medium quantiles, respectively. While at the same time, the green energy stocks have an increasing effect on the green bonds market at higher quantiles. The results of the causal examination using Granger-causality in quantiles show a bi-directional causal relationship between the green bonds, energy prices, gold prices, and green energy stocks in the world economy. [ABSTRACT FROM AUTHOR]

The FDI and the stock market are the key sources of finance for clean energy projects to become a reality on a global level, and are considered significant drivers of green growth. Therefore, this study examines the effects of the FDI inflows and the stock market development on clean energy production in the top-FDI receiving countries. The data in this regard spans from the time period pertaining to the years 1991 to 2019. The empirical results of the group-wise estimates show that the FDI inflows, and the stock market development play a significant role in promoting clean energy production in the long run. Furthermore, the economy-wise estimates also show that the FDI inflow tends to positively affect the clean energy production in China, Singapore, Russia, India, Indonesia, and South Korea. However, the development experienced in the stock market also positively affects clean energy production in all the selected Asian economies. Thus, it can be affirmed that the governments should also encourage foreign investors, and at the same time divert stock market funds to Asia's renewable energy projects. [ABSTRACT FROM AUTHOR]

Using efficient and cleaner energy is environmentally friendly and is vital for combating the negative effect of emissions on the environment. Focusing on both developed and developing nations, it is important to report their environmental conditions while targeting economic and energy-related factors. In this regard, the current study is an attempt to investigate the influence of energy efficiency (ENEF), financial inclusion (FIN), economic growth (GDP), environmental-related technological innovation (ERTI), and human capital index (HCI) on the carbon dioxide (CO2) emissions for the five selected nations of RCEP. The variables are found associated in terms of long-run cointegration relationships. The panel quantile regression estimator is utilized for empirical estimations, which provide highly significant estimates across the three selected quantiles (25th, 50th and 75th). The results report that FIN and GDP significantly aggravate environmental degradation by enhancing the CO2 emission level, among which the strongest CO2 emission growth is found in the second quantile. Besides, the ENEF, ERTI and HCI significantly reduce CO2 emission. Based on the empirical findings, this study provides practical implication focusing on the improvement of energy efficiency policies and revising financial inclusion policies in promotion of green investments. [ABSTRACT FROM AUTHOR]

The association between economic growth (EG) and environmental degradation (ED) has been highlighted extensively in prior studies. However, investigation regarding 'technological innovation and clean energy role' in dealing with environmental concerns has comprised limited context while considering the ASEAN economies under sustainable development goals. Therefore, the study attempts to investigate the phenomenon by using CS-ARDL analysis under short as well as long run. The findings through CS-ARDL in long- and short-run indicate that REN have impact carbon emission and ecological footprints negatively. Additionally, the EG in targeted economies is causing a higher level of CE and ecological footprints. Whereas, GDP2ofund to be significant in lowering the ED in the form of CE and ecological footprints. It is suggested that policies related to CE through EG should be developed in order to control the environmental issues in the future. [ABSTRACT FROM AUTHOR]

The nexus between economic growth (EG) and carbon emission has been examined extensively, specifically in consumption-based CO2. However, the role of human capital, green energy, and sustainable economic growth in determining the carbon emission is yet to be explored specifically from emerging economies. This study aimed to examine the impact of human capital index, green energy, EG in terms of GDP, and square of GDP on carbon emission for long-short run with the help of CS-ARDL. The data for study variables was collected from 1995 to 2018. The study findings confirmed that there exists CSD, cointegration, and slope heterogeneity among the study variables. In contrast, the output through CS-ARDL indicated that the main reason for higher carbon emission in the targeted economies are economic growth under long-short run estimation. Additionally, the role of green energy and human capital index is also constructive in lowering the environmental degradation for both long-run and short-run estimation. Finally, some policy implications are also convassed at the end of the research. [ABSTRACT FROM AUTHOR]

This study examines the dynamic and causal relationship between green investment (G.I.), clean energy (C.E.), economic growth, and environmental sustainability with the help of an innovative approach named as quantile autoregressive distributed lagged (Q.A.R.D.L.) model using quarterly data from Q1-1995 to Q4-2019 for China. Our preliminary findings confirm data non-normality and structural breaks in all data series. Therefore, we have applied Q.A.R.D.L. that efficiently deals with these issues. We have further applied the Granger-causality in quantiles to check the causal association among the variables of interest. The findings through Q.A.R.D.L. estimation confirm that the error correction parameter is statistically significant with expected negative sign across major quantiles. In the long run, the results confirm that both C.E., and G.I. are significant mitigants of environmental pollution, however their emissions mitigating effects varies across lower, middle, and higher emissions quantiles. Furthermore, the findings through Granger-causality test confirm the existence of two-way causality between G.I., C.E., and carbon emissions across all quantiles. These results offer valuable policy implications. [ABSTRACT FROM AUTHOR]