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In recent times, physical-capital investment has been outweighed by research and development expenditure in terms of their growth impact. However, how such expenditure affect economic expansion in the presence of energy consumption is yet to be given thorough attention in the literature. Consequently, this study used data from 1997 to 2015 for 16 EU countries to demonstrate how expenditure on research and development drives growth in the presence of renewable and nonrenewable energy consumption. Empirical results from the Pool Mean Group Autoregressive distributive lag model (PMG-ARDL) revealed that in the short run, investment in research and development adversely affect growth prospect in the EU. However, in the long run, research-led growth is evident alongside energy consumption, although the latter outweighs the former. Additionally, result from Dumitrescu and Hurlin Panel Causality tests showed a feedback causality between energy consumption, research and expenditure and economic growth. The findings of this study make it essential for EU countries to boost spending on renewable energy sources. Additionally, EU countries should pay closer attention to investment in research and development in order to sustain the plan for long term advancement in sustainable power sources for feasible energy and economic development. Image 1 • Economic impact of R&D and energy consumption in EU is examined. • Physical-capital investment outperforms R&D expenditure. • Energy consumption affect economic growth than the effect of R&D in the long run. • Increased renewable energy development in the EU is encouraged. • More investment in research and development by the EU states should be sustained. [ABSTRACT FROM AUTHOR]

Climate change mitigation has become the central theme for many policy initiatives, as such, the European Union (EU) member countries are working assiduously to achieve the emission targets. To provide policy direction in achieving the emission targets, this study investigated the drivers essential to attaining the Sustainable Development Goals in regards to reducing environmental pollution in EU member countries. A balanced panel of 16-EU countries from 1997 to 2014 was estimated with Panel Pool Mean Group Autoregressive distributive lag (PMG-ARDL) model. The study traced the equilibrium relationship between ecological footprint, real gross domestic product, trade openness, fertility rate, renewable and non-renewable energy consumption — suggested by both Kao and Pedroni cointegration tests. The PMG-ARDL analysis confirmed the role of non-renewable energy consumption in depleting environmental quality while renewable energy consumption was found to improve environmental sustainability. Interestingly, the unexpected long-run fertility-ecological footprint nexus was connected with the divergent fertility rate information of the EU member countries. Although, country-specific policy approach is essential, however, such a framework should be compatible with the region's overall Sustainable Development Goals. The call for diversification of existing energy portfolios by either incorporating or enhancing renewable energy technologies is essential to sustain the current success strides of most member states. Thus, the EU needs to strengthen its commitments to achieving the emission targets by decarbonizing and sustaining its economic growth trajectory. Unlabelled Image • We investigated the drivers that reduce greenhouse gas emissions in EU member countries • Panel Pool Mean Group Autoregressive distributive lag model was employed in the study • 1% increase in real GDP increases environmental quality by 0.81% in the long-run • Renewable energy consumption was found to improve environmental sustainability • Diversification of the energy mix with renewables is essential to reducing pollution [ABSTRACT FROM AUTHOR]

Abstract The study investigates the long-run and causal interaction between, renewable energy consumption, nonrenewable energy consumption, and economic growth in a carbon function. The current study incorporates natural resources rent to the model as an additional variable. Empirical evidence is based on a balanced panel data between annual periods of 1996–2014 for selected EU-16 countries. The Kao test reveals a cointegration between carbon dioxide emissions, economic growth, natural resources rent, renewable, and nonrenewable energy consumption. The Panel Pooled Mean Group-Autoregressive Auto regressive distributive lag model (PMG-ARDL) suggests a positive significant relationship between the countries' natural resource rent and CO 2 emissions in the long-run. Implying that the overdependence on natural resource rent affects environmental sustainability of the panel countries if conservation and management options are ignored. Our study affirms that nonrenewable energy consumption and economic growth increase carbon emission flaring while renewable energy consumption declines CO 2 emissions. The panel causality analysis reveals a feedback mechanism between economic growth, renewable, and nonrenewable energy consumption. We further observed a feedback causality between natural resources rent and economic growth. Effective policy implications could be drawn toward modern and environmentally friendly energy sources, especially in attaining the Sustainable Development Goals. Graphical abstract Unlabelled Image Highlights • Renewable energy consumption improves environmental quality in 16 EU countries. • Feedback causality observed between natural resources rent and economic growth. • Long-term risk of natural resource rent affecting environmental sustainability. • Economic growth influences carbon dioxide emissions in EU-16 countries. • Fossil fuels exert more distortion on environmental sustainability. [ABSTRACT FROM AUTHOR]

Economic advancement has tended to affect the processes of industrialization, which has increased the value of exploited natural resources via the application of technology. Intensive use of natural resources via total reserves, technological innovation, foreign direct investment (FDI), and renewable energy can have an impact on the environment. Considering this, the present study investigates the nexus between industrialization, total reserves, inflows of FDI, technical innovation, renewable and natural resources, and CO 2 emissions in the case of BRICS. To this end, annual frequency data for BRICS from 1990 to 2019 are employed in panel framework. The study employs a battery of econometric techniques, namely the Augmented Mean Group (AMG), Common Correlated Effects Mean Group (CCEMG), and Driscoll-Kraay estimators to explore the underlined relationship. The cointegration results based on Westerlund, J. (2007) show that there exists a long-run equilibrium relationship between the study outlined variables over the investigated period. From the empirical analysis, technological innovation and renewable energy both reduce CO 2 emissions while industrial value-added, natural resources, FDI and total reserves contribute to the degradation of the environment. Additionally, the interaction between industrial value-added and technological innovation also has negative impact on the BRICS countries' environment. Based on these outcomes, the BRICS economies are enjoined to pursue green technology growth without compromise for environmental quality in the bloc. Finally, numerous significant policy ramifications for protecting environmental quality in BRICS economies have been proposed in the concluding section. • We explore the impacts ICT and industrialization on CO 2 emissions in BRICS. • We applied a battery of second-generation panel econometrics methods. • Natural resources worsens the environmental quality in the investigated bloc. • Renewables shows strong evidence to improve the quality of the environment in BRICS. [ABSTRACT FROM AUTHOR]

Economic growth comes with it environmental trade-off on environmental sustainability. This occurrence is evidence on a global scale as it stems from human anthropogenic activities driven by the consumption of energy sources from fossil-fuel origin. On this premise, the present study focuses on five fragile economies with huge energy and sustainability targets to explore the nexus between economic growth and the environment. The present study is distinct from previous studies in scope by the construct and inclusion of a financial inclusion index with the aid of Principal component analysis (PCA), human development to the economic growth-environment argument. To this end to reach evidence-based outcomes second generational panel analysis is employed. The Durbin-Hansen cointegration test traces the long-run equilibrium relationship between the study variables. Subsequently, an augmented mean group (AMG) estimator is employed to explore the relationship between the outlined variables. Furthermore, the present study finds support for the pollution haven hypothesis for the selected fragile economies. The plausible explanation is due to weak trade and environmental treaties in the examined countries. However, the renewable energy human development index help mitigates environmental degradation. Thus, the present study advocates the need for energy transition and investment into new technological innovation in research and development to attain sustainable development goals and environmental sustainability resonated in UNSDGs-11,12 and 13. Additionally, financial inclusion plays a vital role in the five fragile energy-environment mixes. The current study presents vital policy directives in the concluding section for individual countries and the entire bloc for more effective policy direction. • We explore nexus between sustainability amidst financial inclusion in five fragile economies. • Utilization of robust second-generation estimators were employed. • Our study found finds support for the pollution haven hypothesis. • Renewable energy human development index help mitigates environmental degradation. • Green growth policies should be pursued in five fragile economies. [ABSTRACT FROM AUTHOR]

This study examines the symmetric (linear) and asymmetric (nonlinear) impact of economic growth (EG), capital formation (CF), renewable and non-renewable energy (NRE) consumption on CO 2 emissions and ecological footprint (EF) of seventeen OECD countries spanning data from 1970 to 2016. The autoregressive distributed lag (ARDL) model is used to examine the symmetric impact and the nonlinear autoregressive distributed lag (NARDL) model is employed to explore the asymmetric impact of the variables on the environment. The results indicate that economic growth and gross capital formation dampens environmental quality in the OECD region over the sampled period. Our estimation using the ARDL model shows that a 1% increase in renewable energy (RE) is projected to reduce CO 2 emission by 0.2% and a 1% increase in NRE is estimated to increase CO 2 emission by 1.08%. Similarly, a 1% rise in EG and NRE is expected to increase ecological footprint (EF) by 0.10% and 0.53%, respectively. Estimation using NARDL decomposed EG with positive (negative) shocks shows that a 1% increase (decrease) in EG is expected to reduce CO 2 emissions by 0.4% (0.16%). Similarly, 1% positive (negative) shock in RE is expected to decrease CO 2 emission by 0.5%. The findings indicate that conventional energy obtained from fossil fuels is observed to worsen the environment. Interestingly, renewable energy consumption enhances environmental quality for both fitted models with CO 2 emission and ecological footprint. This is insightful for stakeholders and government administrators in the region. This demonstrates the importance of a paradigm shift towards renewable energy consumption in the OECD countries to improve economic growth and productive capital stock. This finding also aligns with the non-linear investigation of the pivotal role of renewable energy consumption for a cleaner environment. • This study examines the symmetric (linear) and asymmetric (nonlinear) impact of Economic Growth, Capital Formation, Renewable and Non-Renewable Energy consumption on the CO 2 emissions and Ecological footprint of seventeen OECD countries spanning the data from 1970 to 2016. • The estimation of the study using the ARDL model shows that 1% increase in renewable energy (RE) is projected to reduce CO2 emission by 0.2%: and 1% increase in NRE is estimated to increase CO2 emission by 1.08%. Similarly, 1% rise in EG and NRE is expected to increase ecological footprint (EF) by 0.10% and 0.53%, respectively. • Estimation using NARDL decomposed EG with positive (negative) shocks shows that 1% increase (decrease) in EG is expected to reduce CO2 emissions by 0.4% (0.16%). Similarly, 1% positive (negative) shocks in RE is expected to decrease CO 2 emission by 0.5%. • The results show that economic growth and gross capital formation dampens environmental quality in the OECD region over the sampled period. • This study suggests the need for a paradigm shift to renewable energy consumption in the OECD for a better economic growth trajectory and productive capital stock. [ABSTRACT FROM AUTHOR]

Given that the European Union-28 countries proposed a target of 3% of the Gross Domestic Product on research and development (R&D) expenditure by 2020, the current study attempts to examine the role of R&D on environmental sustainability. In addition, the study further investigates the long-run and causal interaction between, renewable energy consumption, nonrenewable energy consumption, and economic growth in an ecological footprint-income function. Notably, the study incorporates research and development (R&D) expenditure to the model as an additional variable, and measures impact of each variable on ecological footprint. Empirical evidence is based on a balanced panel data between annual periods of 1997–2014 for selected EU-16 countries. The Pedroni, Johansen Multivariate and Kao tests all reveal a cointegration between ecological footprint, economic growth, research and development expenditure, renewable, and nonrenewable energy consumption. The Fully Modified and Dynamic Ordinary Least Squares models (FMOLS and DOLS) both suggest a negative significant relationship between the countries' research and development expenditure and ecological footprint in the long-run. This implies that spending on R&D significantly impacts on environmental sustainability of the panel countries. Our study affirms that nonrenewable energy consumption and economic growth increase carbon emission flaring while renewable energy consumption declines ecological footprint. The panel causality analysis reveals a feedback mechanism between ecological footprint, R&D expenditure, renewable, and nonrenewable energy consumption. We further observed a one-way causality between ecological footprint and economic growth. The current further validates that the Environmental Kuznet Curve Hypothesis (EKC) holds for this panel of EU countries examined. Effective policy implications could be drawn toward modern and environmentally friendly energy sources, especially in attaining the Sustainable Development Goals via spending on R&D. Unlabelled Image • The determinant of environmental sustainability in EU countries is examined. • R &D improves environmental sustainability in EU. • The Inverted U-Shaped (EKC-hypothesis) pattern is affirmed for the EU Countries. • Renewable energy consumption enhances cleaner ecosystem. • Energy portfolio diversification in EU is more urgently necessary than ever. [ABSTRACT FROM AUTHOR]

While most African economies are primarily sandwiched with the seemingly unsurmountable task of attaining consistent economic growth and unhindered energy supply, the enormous threat posed by environmental degradation has further complicated the economic and environmental sustainability drive. In this context, the present study examines the effect of economic growth, urbanization, electricity consumption, fossil fuel energy consumption, and total natural resources rent on pollutant emissions in Africa over the period 1980–2014. By employing selected African countries, the current study relies on the Kao and Pedroni cointegration tests to cointegration analysis, the Pesaran's Panel Pooled Mean Group-Autoregressive distributive lag methodology (ARDL-PMG) for long run regression while Dumitrescu and Hurlin (2012) is employed for the detection of causality direction among the outlined variables. The study traces long run equilibrium relationships between examined indicators. The ARDL-PMG results suggest a statistical positive relationship between pollutant emissions and urbanization, electricity consumption and non-renewable energy consumption. Dumitrescu and Hurlin (2012) Granger causality test lends support to the long-run regression results. A bi-directional causality is observed between pollutant emissions, electricity consumption, economic growth and pollutant emissions while a unidirectional causality is apparent between total natural resources rent and pollutant emission. Based on these results, several policy implications for the African continent were suggested. (a) The need for a paradigm shift from fossil fuel sources to renewables is encouraged in the region (b) The need to embrace carbon storage and capturing techniques to decouple pollutant emissions from economic growth on the continent's growth trajectory. Further policy insights are elucidated. Unlabelled Image • Investigation of environmental degradation in selected African countries • Long and short-run pollutant emissions decomposition in Africa • Economic growth-pollutant emission directional causality has a feedback. • Urbanization, electricity consumption and fossil fuel positively impact pollutant emission. • Energy portfolio diversification in Africa is more urgently necessary than ever. [ABSTRACT FROM AUTHOR]