•Short- and long-term impacts of variables were determined using the pooled mean group (PMG)•According to the co-integration test, the research sample was co-integrated.•Urbanization has very little ...impact on environment, both in short term and over long term.•Immediate as well as long-term effects of human energy use on the ecosystem have been demonstrated.
Carbon emissions are well-established as a major contributor to global warming and other climate change effects. This work experimentally explores the influence of energy consumption, economic development, urbanization, and energy consumption on carbon emission utilizing panel cointegration tests and pooled mean group (PMG-ARDL) approaches, drawing on panel data of the Chinese country from 1995 to 2020. We add urbanization to the model to determine its significance in the interplay between GDP growth, energy consumption, and carbon emissions. The results show that urbanization has no appreciable impact on environmental quality either immediately or in the long term. Energy usage, on the other hand, was proven to considerably increase environmental harm both immediately and over time. Further research indicated that environmental distortion is a long-term effect of economic expansion for the countries studied. The key to achieving a green and clean environment is in the hands of government officials and politicians, who must pay close attention to improving appropriate energy, urban planning, and pollution reduction without slowing economic growth.
The “environment” has become one of the important and debatable topics of the world and policymakers identifying the new predictors of CO2 emissions. Therefore, some economies have been promoting ...fiscal decentralization to encourage environmental quality by granting more financial autonomy to provincial and sub-national governments. Therefore, this study evaluates the dynamic effect of fiscal decentralization on CO2 in selected nine Asian economies using a fresh dynamic panel ARDL model from 1984 to 2017. The empirical findings show that fiscal decentralization has asymmetric effects on CO2 emissions because a positive change in revenue and expenditure decentralization reduced CO2 emissions in Asia. Moreover, a negative change in expenditure decentralization has also enhanced CO2 emissions in the long run. Thus, clean environmental policies and recommendations can be revised and proposed based on nonlinear findings in the modern era.
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•Long-run effect of policy uncertainty and institutional quality on green growth.•Distributional heterogeneity using Panel Quantile Regression.•Economic policy uncertainty has ...negative impact on green growth.•Institutional quality and renewable energy consumption increases the green growth.•Trade openness has positive impact on green growth.
Environmental degradation is one of the most debatable topics at international forums and it is considered a prime concern for the entire world. Therefore, researchers and policymakers have turned their attention from conventional economic growth to green growth. Although the existing literature has discussed several determinants of green growth, the impact of economic policy uncertainty (EPU), renewable energy consumption (RENE), and institutional quality (IQ) on green growth (GGDP) is relatively unexplored. Hence, this study is the earliest attempt to investigate the impact of EPU, IQ, and RENE on GGDP for emerging seven (E-7) countries from 1996 to 2019. In doing so, we apply panel quantile regression (PQR). The empirical findings delineate that EPU has a negative impact on GGDP, whereas IQ and RENE enhance the GGDP in E-7 countries. Based on the outcomes, this study suggests policy implications for achieving targets of the SDG 07, SDG 08, SDG 13, and SDG 16. The governments of these countries can achieve higher GGDP by ensuring political stability and reliable macroeconomic policies and through making such flexible policies that can easily control or address unpredictable future economic issues.
Natural resources and economic growth nexus have been extensively investigated since the last three decades and still the debate is in progress. However, in the current times, natural resources ...prices volatility got importance as natural resources prices are playing crucial role in economic growth by regulating economic activities, which is relatively less studied. Natural resources price volatility and economic performance nexus have set new trends for scholars and policy-makers. Volatility in natural resources could have a detrimental impact on the economic performance of a country or region. In this regard, the current study aims to identify the relationship between them while considering the role of green innovation in the BRICS economies between 1990 and 2021. Employing the cross-sectionally augmented autoregressive distributive lags (CS-ARDL) approach, the results revealed that natural resource volatility, oil rents, natural gas rents, and green innovation positively influence the economic performance in both short-run and long-run. These results are found robust as verified by the long-run estimator augmented mean group (AMG). Besides, the Dumitrescu and Hurlin (2012) Granger panel causality heterogeneous test unveil a bidirectional causal association between the under discussion variables and economic performance. Based on the empirical findings, this study recommends that natural resources hedging, price freezing or ceiling, and promoting green innovation could be remedial measures to improve economic performance further and reduce natural resources price volatility in the region.
•Natural resource price volatility and BRICS′ economic performance is tested.•The role of green innovation has been empirically investigated.•The study employed CS-ARDL and AMG estimators.•Bidirectional causal association relation is found between the variables.•All the variables significantly promote economic performance in the region.
The continuous upsurge in worldwide economic development and human activities has intensified CO2 emissions that highlighted the significant role of eco-innovation and green investment in curbing CO2 ...emissions. The study aims to explore the impact of eco-innovation and green investment on CO2 emissions by using the China dataset for time period 1990-2019. The study adopts the ARDL approach. The study used two proxies to determine the impact of eco-innovation, namely environment-related technologies and patents. The empirical estimates of the ARDL approach confirm the negative impact of eco-innovation and green investment on CO2 emissions confirming that these determinants result in limiting CO2 emissions in China. Based on these findings, the study suggests strengthening environmentally friendly policies and the advancement of green investment to mitigate CO2 emissions.
Economic development is attributed to higher energy consumption emerged from economic and industrial activities, whereas renewable energy is pronounced as the differentiating factor for achieving ...competitiveness among the economies and ensuring environmental sustainability. On the other hand, Human Capital plays the role of an interface between the inputs or resources consumed and the output generated; therefore, it can also derive economic development in a better way. Thus, this study explores the impact of human Capital, renewable energy, and the interaction of both in realizing higher economic development. For empirical analysis, we employed comparatively new panel estimation techniques “continuously updated fully modified” (Cup-FM) and “continuously updated bias-corrected” (Cup-BC) using a panel of G-10 countries. The overall results demonstrate that human Capital and renewable stimulate higher economic development. Manifestly, the interaction of both variables reports a more substantial impact on economic development, implying that human capital development is a stimulus to boost the positive effects of renewable energy sources on economic growth. Based on the findings, the stakeholders are recommended to invest in human Capital and renewable energy adoption.
•CUP-FM and CUP-BC Models are employed.•Human Capital positively contributes to GDP.•Renewable Energy stimulate GDP.•Joint effects of Human capital and Renewable Energy is more substantial.
The rapid pace of industrialisation and economic development in recent decades is not without its environmental consequences. Electricity production, though an important determinant of economic ...development, remained under studied in the existing literature and only a few models on the electricity production-environmental degradation nexus are available. As a first attempt, this study examines the impact of renewable and non-renewable electricity generation and eco-innovations on CO
2
emissions in the world's top emitting countries under the umbrella of the Environmental Kuznets Curve (E.K.C.) Hypothesis. Second-generation panel data techniques, i.e., C.I.P.S. and Bai and Carrion-I-Silvestre (
2009
) unit root tests, Westerlund and Edgerton (
2008
) and Banerjee and Carrion-i-Silvestre (
2017
) cointegration techniques and Cross-Sectionally Augmented Distributed Lag Model for short and long run coefficient estimations have been employed in the study. It is found that renewable electricity production and eco-innovations have negative effects, whereas non-renewable electricity production has positive effect on CO
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emission. Moreover, the estimation demonstrated the E.K.C. validation in these countries. It is recommended that fossil fuel dependency in the electricity sector should be reduced by devising policies directed towards green electricity measures. More investment in green innovations to achieve green environment and sustainable growth is also recommended by the study.
Green investment is a trending marketing strategy that has been endorsed as a prominent financial actor due to the growing environmental issues and business sustainability. With the introduction of ...green and climate bonds in the last decade, the investment in eco-friendly projects has been deemed a paradigm shift. China has been a pioneer in introducing green and climate bonds, setting a precedent for green investment in the global market. Following the green strategy, therefore, the main aim of this study is to examine the importance of green investment and green marketing for enhancing business performance. Besides, this study has also examined the critical mediating role of CSR. Data were collected from 619 respondents from Chinese manufacturing companies via questionnaires. This study employed the structural equation modeling (SEM) technique to test hypotheses in Smart PLS software. This study revealed that green marketing strategy and green investment positively complement the CSR of companies and their business performance. Moreover, results also showed that CSR plays a significant mediating rolein enhancing business performance positively by stimulating the targeted relationships. With the ascendency of being environment friendly, this study will also be a powerful magnet for practitioners and policymakers.
•Fresh panel data analysis for sustainable environment.•Non-renewable energy sources and economic expansion both raise carbon emissions.•Natural resources slowed economic progress in long run in all ...nations panel.•Insights into CS-ARDL technique for economic development.
Natural resources are influencing constituents of our ecosystem which contribute to environmental deterioration. The development regarding to sustainable development goal (SGD) has drawn attention towards sustainability related concern. So, this paper aims to find out that natural resources have significant aspects to contribute for the environmental quality and greenhouse gas emission. The purpose of study is to asses impacts of economic growth, natural resources, renewable and non-renewable energy usage on carbon emissions for timespan of 1995 to 2019 in ten nations (China, India, Pakistan, Japan, Indonesia, Turkey, South Korea, Thailand, Iran and Saudi Arabia), chosen for their high gross domestic product (GDP) in the Asian region, using the panel data estimating technique CS-ARDL. The long-run elasticities of all nations were estimated. Findings indicate that use of non-renewable and renewable energy contributes to economic development in these countries. Additionally, natural resources limit economic progress in nations panels, but they stimulate economic activity in these countries. Non-renewable energy sources and economic expansion both raise carbon emissions, whilst renewable energy usage reduces carbon emissions. In the case of each nation panel, natural resources also contributed to carbon dioxide (CO2) emissions. Policy recommendations can be made, such as using renewable energy sources to reduce CO2 emissions and improving educational system along with manipulating government system to boost economic growth in examined areas.
In light of the technological advancement and green growth in G7 economies, this research investigates the trends in sustainable development goals (SDGs) as reflected through social and environmental ...dimensions. Data were collected from 2000 to 2019 with yearly observation for advanced panel estimations.The preliminary finding raises the issues of cross-sectional dependency and slope heterogeneity; thus, we have applied the cross-sectional autoregressive distributed lag(CS-ARDL) model.The long-run findings confirm that technological innovations and green growth encourage environmental sustainability. Moreover, economic growth, green technological innovations, and government effectiveness have significantly promoted social development through higher employment opportunities. Similar results are also observed in the short run; however, the influence is more substantial in the long run. These findings imply that green growth, eco-innovations, and institutional governance are core drivers of SDGs in the long run.
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