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Climate change can be mitigated and policies can be catalyzed with the aid of financial institutions. By maintaining and strengthening financial stability, the financial sector's resilience could help mitigate climate-related risks and uncertainties. Hence, an empirical investigation on the effect of financial stability on consumption-based CO 2 emissions (CCO 2 E) in Denmark is long overdue. This study investigates the financial risk-emissions relationship in the presence of energy productivity, energy consumption, and economic growth in Denmark. Furthermore, by adopting an asymmetric approach to analyze the time series data for the period between 1995 and 2018, this study helps bridge this major gap in the literature. By adopting the nonlinear autoregressive distributed lag approach (NARDL), we discovered that the positive variation in financial stability causes a reduction in CCO 2 E, but the neutral connection was reported between the negative shock in financial stability and CCO 2 E. The positive shock in economic growth and energy consumption intensifies CCO 2 E; however, a neutral interaction exists between the negative shock in economic growth and CCO 2 E. The negative shock in energy consumption has a positive effect on CCO 2 E, indicating a mitigating implication on environmental degradation. In addition, a positive shock in energy productivity enhances environmental quality, while a negative shock in energy productivity increases environmental degradation. In light of the results, we suggest some robust policies for Denmark and other smaller but wealthy nations. Moreover, in order to develop sustainable finance markets, policymakers in Denmark need to mobilize both public and private finance while maintaining a balance with other economic needs of the nation. The country must also identify and understand potential avenues for scaling up private financing for mitigating climate risk. Integr Environ Assess Manag 2023;19:1485-1494. © 2023 SETAC., (© 2023 SETAC.)

This paper aims to capture the effect of environmentally related taxes on environmental quality in Canada while controlling economic growth, financial development, and energy consumption over the period of 1990Q1 to 2020Q4. The present study employs novel econometric approaches, namely, the nonlinear autoregressive distributed lag (N-ARDL) test and the gradual shift causality (GS-C) test. The outcomes of the study reveal that (i) there is long-run cointegration equation between environmental taxes (E-TAX), carbon dioxide emissions (CO 2 E), economic growth (ECG), financial development (FD), and primary energy consumption (PREC); (ii) E-TAX causes to decrease in environmental degradation in Canada; (iii) PREC and ECG increase (and cause) environmental degradation in Canada; and (iv) financial development also positively affect the environmental sustainability. This effort may also be of great importance for policymakers and decision-makers to better understand the factors of environmental degradation for developing effective tax policies that will alleviate human impacts and contribute to reducing environmental degradation., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Unsustainable development and rising environmental degradation are major challenges for emerging nations that tend to promote human welfare by expanding economic development. Green energy transition (GETR) can help these nations to continue their development, reduce fossil fuel utilization, and achieve environmental sustainability. However, previous literature overlooks the importance of green technologies, government stability, and economic globalization in the GETR process. Accordingly, this research takes a step forward and assesses the impacts of green technologies (GT), government stability (GOV), and economic globalization (EGL) on green energy transition including population density (POP) and economic growth (GDP) in emerging seven (E-7) countries from 1992 to 2020. The research applied the "continuously updated fully modified (CuP-FM)" methodology to acquire the long-run findings robust to endogeneity stationary regressors, autocorrelation, and cross-sectional dependence (CD). The results highlighted that green technologies can be enhanced to accelerate the energy transition process since GETR and green technologies are positively connected. Also, government stability and economic globalization support the green energy transition. However, both population density and economic growth obstruct the energy transition process. The Emirmahmutoğlu and Kose test unveiled that green technologies, economic globalization, and government stability Granger cause the green energy transition. Based on these findings, policies are directed to promote the GETR by enhancing green technologies, economic globalization, and government stability for achieving ecological sustainability., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Environmental sustainability has been a priority of energy study experts, yet, until recently, the approaches largely ignored innovation issues. This paper investigates the relationship between environmental innovation and environmental sustainability in a Nordic country, Norway, from 1990:Q1 to 2019:Q4. In Norway, climate change, protection of the ozone layer, biodiversity, urbanization, acidification, eutrophication, persistently high toxic waste, and increased fragility have injected volatility and uncertainty into the Norwegians-a reality that may continue for a while. This study is unique in that it uses the nonlinear ARDL approach to analyze in depth how environmental innovation affects environmental sustainability in Norway while controlling for economic growth, renewable energy, and financial development. In particular, the findings reveal that (i) environmental innovation improves the environment in Norway over long-term horizons; (ii) strengthening patents on environmental innovations can foster clean living, green growth, and zero CO 2 emissions; (iii) investing in renewable energy sources benefits the Norwegian environment by reducing carbon emission growth; and (iv) economic growth and financial development promote CO 2 emission growth. The policy consequence is that Norway's policymakers should continue to invest in cleaner technologies and encourage environmental education and training of employees, suppliers, and consumers., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The globally increasing trend of fossil fuel consumption has culminated in a historical degradation of the environment and the rising threat of global warming. Researchers and policymakers aim at examining critical relationships between energy productivity and environmental degradation to make recommendations for global policy action. This paper aims to capture the effect of energy productivity on environmental degradation in Poland from 1990Q1 to 2019Q4, using novel Fourier-bases ADF unit root and Fourier-based ARDL approaches. First, outcomes of the Fourier ARDL bounds test indicate that variables are integrated; second, outcomes of the Fourier ARDL long-run estimates indicate that (i) energy productivity has long-run negative effects on CO 2 emissions; and (ii) economic growth, globalization, and primary energy consumption have positive effects on CO 2 emissions. Among the options available to Polish policymakers are (i) liberalizing domestic energy markets to offer an opportunity for electricity consumers to switch companies and (ii) continuing to pursue a policy of decarbonizing energy supply by investing heavily in renewable energy, nuclear power, e-mobility, and energy productivity., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This paper aims to capture the effect of an environmental tax on environmental degradation in the Netherlands while controlling economic growth, primary energy consumption, and trade in the Netherlands. As part of its climate change plan, the Netherlands government aims to reduce greenhouse gas emissions to industrial levels by 2030 and reach net-zero emissions by 2050. The present study used novel Fourier ADL cointegration, Fourier ARDL, and Fourier TY causality approaches. The outcomes of this study reveal that environmentally related taxes cause the mitigation of environmental degradation in the Netherlands, while primary energy consumption affects environmental sustainability negatively. This study provides policy implications based on the empirical results of this study, which support the Sustainable Development Goals (SDG) of 2030 through (SDG 7) affordable and sustainable energy, (SDG 9) innovation, and (SDG 13) environmental sustainability., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Despite Portugal's effort to reduce carbon emissions, the country still emits about 1.6% of the European Union's CO 2 emissions. Meanwhile, limited empirical studies have been undertaken in the context of Portugal. As a result, this study examines the asymmetric and long-term impact of CO 2 intensity of GDP, energy consumption, renewable energy and economic growth on CO 2 emissions in Portugal from 1990 to 2019. The nonlinear autoregressive distributed lag (NARDL) is employed to uncover the asymmetric connection. The findings show that there is nonlinear cointegration among the variables. The long-run estimation reveals a positive change in energy consumption positively affects CO 2 emissions, while a negative shock in energy consumption has a neutral effect on CO 2 emissions. Furthermore, positive shocks of economic growth and CO 2 intensity of GDP enhance environmental deterioration by increasing CO 2 emissions. Meanwhile, the negative shock of these regressors positively impacts CO 2 emissions. In addition, positive shocks in renewable energy enhance environmental quality, while negative shocks in renewable energy increase environmental deterioration in Portugal. Policymakers should focus on reducing per-unit energy usage and CO 2 efficiency gains, which would necessitate a significant reduction in CO 2 intensity and energy density of GDP., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The study explores the relationship between globalization, GDP, the carbon intensity of GDP, patents, and its effect on consumption-based carbon emissions (CCO 2 E). For analysis, novel econometric approaches include nonlinear ARDL and Fourier ARDL, and for robustness, dynamic OLS applied. The results from cointegration tests reveal that there exists a significant long-run relationship between CCO 2 E, globalization, economic growth, patents, and the carbon intensity of GDP. Additionally, the empirical results indicate that only positive shock in patents on environmental innovations have a negative and significant impact on CCO 2 E, while positive and negative shocks in GDP and carbon intensity of GDP significantly increase CCO 2 E. However, only a negative shock in globalization demonstrates the increase in CCO 2 E. Also, dynamic OLS findings confirmed the robustness. Given the outcome, it is recommended that the Danish government be cautious when approving policies intended to increase economic growth, as this could negatively affect environmental sustainability. More so, research and development must contribute to technological advancement in the Danish manufacturing sector. Despite this, it is important to prioritize patent promotion. Patent protection can enable Denmark to develop eco-friendly technologies that can reduce carbon emissions, thus enabling life to be more sustainable by utilizing fewer resources and energy. Denmark can reduce CO 2 E and foster economic development through a strong patent system on environmental technologies., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This study aims to examine the long-run asymmetric impact of energy productivity on environmental quality in Ireland. The data set covers the period from 1990Q1 to 2019Q4. Although the border issue has been the source of contention and terrorism for decades in Ireland, the country is conscious of modern innovations and has a coherent body of environmental law. Ireland's goal is to achieve 80% of its electricity as renewable energy and reduce carbon emissions by 51% in 2030. Unlike earlier studies, the novelty of this study lies in the thorough analysis of how energy productivity affects the quality of the environment in Ireland while controlling for financial development, primary energy consumption, and economic growth utilizing the nonlinear ARDL approach and other robust econometric techniques. Precisely, the results indicate that (i) energy productivity benefits the environment by lowering CO 2 emissions (CO 2 E) in the long term; (ii) financial sector development enhances the quality of the environment in Ireland; (iii) increase in primary energy consumption and economic growth without eco-friendly protocols propel an increase in CO 2 E. These findings support the economic theory that energy productivity can stimulate steady green living and green technological growth. We recommend that policymakers in Ireland invest in energy productivity and prioritize R&D that embraces cleaner technologies and cross-cutting eco-friendly policies to combat environmental challenges in Ireland and the world at large., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Since renewable energy is essentially non-carbohydrate in nature, it can generate little or no pollutants and can therefore help in achieving both sustainable development and environmental quality. In this regard, the question that continues to persist is whether economic growth, economic globalization, and political risk can potentially affect renewable energy in the presence of environmental deterioration. In this context, the current research provides evidence to support this theoretical context by investigating the impact of economic globalization, economic growth environmental degradation, and political risk, on the usage of renewable energy in Vietnam using a dataset spanning the period between 1984 and 2019. For empirical analysis, the dynamic autoregressive distributed lag approach is utilized. Based on our analysis, economic growth positively impacts renewable energy in the long and short term. Economic globalization also positively affects renewable energy in the long term, but a neutral impact is uncovered in the short term. Political risk and environmental degradation are adversely related to renewable energy in the short and long run. The findings from the frequency domain approach reveal a causal interaction from political risk to renewable energy, and from renewable energy to economic globalization, whereas a feedback causal interaction is discovered between renewable energy and environment degradation, as well as between economic growth and renewable energy. From a policy standpoint, we propose that the Vietnamese policymakers need to consider economic globalization as a renewable energy promotion tool via capital inflow, foreign direct investment, and technological transfer., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This study analyzes material footprint (MF), which can be essential in achieving net zero emission targets and sustainable development goals for EURO-26 countries. Increasing the efficiency of MF rather than domestic material consumption is more effective in reducing emissions. Therefore, this study examines the relationship between MF, economic growth, and CO 2 emissions for EURO-26 countries. For empirical analysis, second-generation panel cointegration tests and long-term coefficient estimators, which consider the cross-sectional dependence, are employed. The empirical results indicate that (i) there is a long-term relationship between the variables and (ii) MF increases the CO 2 emissions. However, the positive relationship between economic growth and CO 2 emissions is statistically insignificant. According to the individual results, while the impact of MF on CO 2 emissions is negative in developed countries, MF increases CO 2 emissions in developing countries in general. Overall findings reveal that long-term material footprint strategies should be implemented in EURO-26 countries and material footprint policies can be used as a strategic tool to achieve net zero emission targets and sustainable development goals (SDGs)., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Many European nations, including Spain, are having difficulties achieving their Sustainable Development Goals (SDGs) objectives. Resultantly, the current research discusses the development of an SDG framework for Spain, which can be utilized as a model for other EU nations. This research examines whether GDP growth, technological innovation, and energy sources (renewable and non-renewable) have any effect on CO 2 emissions utilizing data from 1980 to 2018. The study applied the non-linear ARDL (NARDL) to investigate these interrelations. The outcomes from the NARDL revealed that positive (negative) shocks in renewable energy improve environmental quality in Spain. Furthermore, positive (negative) shocks in technological innovation lead to a decrease (increase) in CO 2 . Lastly, positive (negative) shocks in energy consumption lead to an increase (decrease) in CO 2. The results reveal that Spain is on the right path towards decarburization. This research has important policy ramifications for the policymakers and government of Spain as well as neighbouring countries.

This study fills a gap in the relevant literature by exploring the linear and nonlinear effect of energy productivity on environmental degradation based on economic growth, trade openness, and energy consumption variables for the case of Cyprus, over the period from 1990Q1 to 2018Q4. To the best of our knowledge, this is the first study attempt to conduct this nexus for Cyprus, so the empirical findings are likely to shed light on and open a new debate on the subject of environmental sustainability. The empirical findings of the nonlinear autoregressive distributed lag approach revealed that the outcomes of energy productivity instigated a positive (negative) impact on the atmosphere, where a 1% upsurge in positive shock of energy productivity decreased CO 2 emissions (CO 2 E) by 0.265%, and a 1% rise in negative shock caused a 0.837% increase in pollution in the long run. GDP is positively related to pollution in both shocks. Trade results disclosed that trade openness stimulated a positive (negative) influence on the atmosphere. A 1% increase in positive shock of trade openness decreased CO 2 E by 0.268%, and a 1% growth in negative shock instigated a 0.423% rise in pollution in Cyprus. These results are consistent and supported by both linear and nonlinear techniques. As a part of its long-term climate policy goals, policymakers in Cyprus should invest in energy productivity and R&D that embraces cleaner technology innovations and prioritize cross-cutting environmental technology policies to combat climate challenges., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This paper investigates whether the carbon dioxide (CO2) intensity of GDP matters for environmental degradation in an emerging country, namely, Turkey, over the period of 1990-2018 while controlling economic growth, foreign direct investment, and renewable energy consumption. The present study uses both linear and nonlinear time series estimators, namely, the Gregory and Hansen cointegration test, bounds test, nonlinear autoregressive distributed lag (NARDL) model, fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS), and canonical cointegrating regressions (CCR), to encapsulate the possible effect of CO2 intensity of GDP, economic growth, foreign direct investment, and renewable energy consumption on environmental degradation in Turkey. The empirical finding of the present study reveals that the CO2 intensity of GDP is an important factor to determine environmental degradation in Turkey and the declining CO2 intensity of GDP reduces environmental degradation. Moreover, economic growth is the primary environmental sustainability factor in Turkey. The result is vital for policymaking and can perhaps be applied to take decisive policy actions to mitigate environmental issues., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The concept of environmental sustainability formed the basis of the Paris Agreement and the United Nations conference in Rio de Janeiro. Empirically, without environmental sustainability, everything else could fall apart or be aimless. This study investigates factors affecting global environmental sustainability spanning 1966Q1 to 2019Q4. However, there are many micro-/macroeconomic factors engendering the environment, and the absence of robust clarity on whether factors such as economic growth, urbanization, trade openness, and energy consumption matter for global environmental sustainability remains a global academic dilemma in the economics literature. This paper utilized the unrestricted nonlinear autoregressive distributed lag (NARDL) bounds test techniques to model their relationship. Furthermore, the study adopted fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS), and canonical cointegrating regression (CCR) methods to test the research hypothesis, catering to the problem of endogeneity and serial correlation. Up-to-date of this study, no empirical study has examined the nexus of these variables within the global framework. The outcomes suggested that (i) NARDL bounds test of cointegration confirmed evidence of long-run and short-run relationships among the variables; (ii) long-run asymmetric relationship was affirmed among the variables; and (iii) DOLS, FMOLS, and CCR models demonstrate that economic growth, energy consumption, and trade openness are positively significantly correlated with environmental sustainability except for economic growth which shows negative and insignificant correlation. These findings validate the protracted argument in literature that these estimated variables are significant for global environmental sustainability. This study recommends that environmental policymakers integrate global economic incentives with favorable regulatory changes for achieving the goals of a global sustainable environment in the long-run equilibrium., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Globally, the issues about sustainable development are on the increase. Moreover, these issues are rising every day in Pakistan, as remittances are increasing, technology innovation is ambiguous, natural resources are degraded, and economic expansion might pose serious challenges to the environment. Thus, this research looks at how remittances, natural resources, technological innovation, and economic growth affect carbon dioxide (CO 2) emissions in Pakistan by controlling energy consumption and urbanization from 1990 to 2019. The Bayer and Hanck test of combined cointegration discloses a cointegration between remittances, natural resources, technological innovations, economic growth, and CO 2 emissions. Moreover, the autoregressive distributive lag model (ARDL) proposes a significant positive association between remittances and CO 2 emissions in the long run, indicating that the increase in remittances distresses the environmental performance of Pakistan. Our study confirms that natural resources decrease CO 2 emissions while technological advancement, economic progress, energy use, and urbanization increase CO 2 emissions. In addition, the results of robustness checks by employing fully modified ordinary least squares and dynamic ordinary least squares are parallel to the conclusions of ARDL estimations. Furthermore, the frequency causality test results show that remittances, natural resources, technological innovation, economic growth, energy use, and urbanization cause CO 2 emissions at different frequencies. Therefore, to achieve the sustainable development goals, appropriate policy repercussions can be developed toward advanced and environmentally sustainable sources of energy., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

China is one of the largest emitters of carbon dioxide (CO 2 ) emissions in the world. Therefore, it is essential to explore the determinants of CO 2 emissions in China. But previous studies so far have not examined how the political risk of this country can affect its CO 2 emissions due to the lack of a long-term dataset. Hence, this study aims to capture the effect of political risk on China's CO 2 emissions while controlling renewable energy consumption, technological innovation, and the economy's economic growth. We employ Bayer and Hanck cointegration, FMOLS, DOLS, CCR, and frequency domain causality tests to establish the relationship among the variables mentioned above. The outcome of the study reveals that political stability is an important predictor of environmental degradation in China. Moreover, political stability is helpful to lower CO 2 emissions, while technological innovation and renewable energy consumption can reduce CO 2 emissions, economic growth further deteriorates environmental quality by increasing its carbon emissions. Therefore, the present study recommends that policymakers in China should control political tension in the country to control CO 2 emissions and, at the same time, promote technological innovation and renewable energy consumption., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The current paper examines the effect of public-private partnerships investment in energy (PPIE) on CO 2 emissions while taking economic growth (GDP), foreign direct investment (FDI), and trade openness (TOP) into consideration for Bangladesh from 1997 to 2019. This paper utilizes Bayer and Hanck cointegration approach, fully modified ordinary least squares, dynamic ordinary least squares, canonical regression, and frequency domain causality technique. The outcome of this paper reveals that (i) the cointegrating association among PPIE, GDP, FDI, TOP, and CO 2 emissions is verified; (ii) PPIE, GDP, and TOP affect environmental sustainability negatively; (iii) in the long term, PPIE, FDI, and TOP Granger-cause CO 2 emissions in Bangladesh. This research suggests technical development for a greener production procedure and public-private partnership funding in green energy. Therefore, as a policy endorsement, this study proposes to invest in the latest technological advancements to manufacture environmentally sustainable goods via public-private partnerships., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The United Nations' "Sustainable Development Goals" (SDGs) express attention to climate action. Even though a considerable number of papers have targeted this issue, the literature on the top five, "China, India, Japan, Russia, and the United States" economies is uncommon. Therefore, this paper is targeted to examine the influence of renewable energy (RE), environmental technologies (ETs), and economic policy uncertainty (EPU) on carbon emissions. By using the most recent data available from 1992 to 2020, results are estimated with robust econometric techniques, i. e. "cross-sectionally augmented autoregressive distributed lag (CS-ARDL) and augmented mean group (AMG)". Findings reflect the harmful role of EPU. However, RE and ETs have a supportive role in the transition towards a sustainable environment. The findings are also strong in terms of policy implications for the top five polluters., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

The number of studies on the relationship between technological innovation and CO 2 emissions has gradually increased in recent years, although there is no clear agreement in the literature. Previous research has revealed both positive and negative consequences of technological innovation on the environment. Moreover, most researchers have used linear approaches to explore this connection, which can result in spurious outcomes when nonlinearities exist in the data. According to this background, this research utilizes asymmetric ARDL and spectral causality approaches to assess the asymmetric connection between technological innovation and CO 2 emissions in Sweden utilizing data from 1980 to 2018. In addition, the disaggregated asymmetric effects of technological innovation (patent resident and patent nonresident) on CO 2 are also captured in this study. The Nonlinear Autoregressive Distributed lag (NARDL) results showed that positive (negative) shocks in economic growth enhance environmental quality in Sweden. Furthermore, a positive (negative) shock in technological innovation causes a decrease (increase) in CO 2 . Similarly, a positive (negative) shock in patent nonresident and residents leads to a decrease (increase) in CO 2 emissions in Sweden. The outcomes from the spectral causality revealed that in the medium and long term, aggregate and disaggregate technological innovation can predict CO 2 emissions in Sweden. This study has significant policy implications for policymakers and the government in Sweden. Based on these findings, the study suggests that the government of Sweden should investment in technological innovation since it plays a vital role in curbing environmental degradation., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Although numerous studies in the literature have been conducted to model CO 2 emissions, there is a lack of empirical knowledge of consumption-based CO 2 emissions, which are adjusted for international trade, specifically. Therefore, the present study aims to close this gap in the literature in the case of Italy, while capturing the asymmetric effect of trade, renewable energy, and economic growth on consumption-based CO 2 emissions. The present study uses the Gregory-Hansen test for cointegration with regime shifts, Markov switching regression, nonlinear autoregressive distributed lag (NARDL), and frequency domain causality test. The study's outcomes reveal that (1) the asymmetric effect of import on consumption-based CO 2 emissions is positive, implying that rising import is associated with declining consumption-based environmental quality; (2) export, renewable consumption, and economic growth reduce consumption-based CO 2 emissions in Italy. Moreover, these outcomes are supported by the outcomes of the frequency domain causality test. These innovative insights may prompt policy-makers to implement eco-friendly methods, such as renewable energy distribution and environmental innovation, to achieve a greener future. Integr Environ Assess Manag 2022;18:784-795. © 2021 SETAC., (© 2021 SETAC.)

This paper examines the impact of economic growth, energy consumption, financial development, and industrialization on environmental degradation in 8 selected ASEAN + 3 countries covering the period 1994-2018. The autoregressive distributed lag model pooled mean group was applied to estimate the long run and short relationship. The fully modified ordinary least squares, dynamic least squares, and seemingly unrelated regression were applied to check the robustness of pooled mean group. Furthermore, panel Dumitrescu and Hurlin causality test was utilized to explore the causal relationships among the variables. The results of cointegration tests confirm the presence of the long run cointegration relationship. The empirical findings, in the long run, demonstrate that the elasticity of economic growth is negatively interrelated to environmental degradation. The elasticities of energy consumption and financial development showed a positive relationship with environmental degradation. The elasticity of industrialization has a negative connection with environmental degradation. The robustness results show some conflict with the autoregressive distributed lag model pooled mean group results. Dumitrescu Hurlin panel causality demonstrates a bidirectional causality between economic growth and environmental degradation, energy consumption and environmental degradation, and economic growth and energy consumption. These results confirm that energy consumption and financial development harm environmental quality in selected countries through exudating more CO 2 emissions in space, while economic growth and industrialization reduce environmental degradation by mitigating exudate CO 2 emissions., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The economic structure of countries can influence economic growth, energy demand, and environmental footprints. However, the literature on economic complexity and ecological footprint (EFP) nexus is scarce. Besides, democracy is an important factor that may affect environmental policies and environmental sustainability. Hence, this paper investigates the effect of democracy, economic complexity, and renewable energy technology budgets on the EFP in G7 countries controlling income and financial development from 1985 to 2017. The findings from Westerlund (J Appl Econ 23:193-233, 2008) and other cointegration methods depict cointegration among variables. The long-run estimates from the continuously updated fully modified method unfold that economic complexity contributes to reducing the EFP. However, greater democratic accountability boosts the EFP figures rather than reducing them. On the flipside, renewable energy technology budgets and financial development are evidenced to mitigate EFP. Moreover, the study unveils a U-shaped linkage between economic growth and EFP, which indicates that an increase in income level will boost EFP. Further, the study found causality from economic complexity, democracy, and renewable energy budgets to EFP. Based on these findings, it is pertinent for the G7 countries to increase the manufacturing of sophisticated and complex products. In addition, enhancing renewable energy technology budgets is essential to ensure environmental well-being., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This study aims to investigate the relationship between carbon emissions (CO 2 ) and economic policy uncertainty for East Asian countries. During recent decades, climate change has become a severe issue globally. To our understanding, the impact of economic policy uncertainty (EPU) on CO 2 emissions has not been thoroughly studied in the environment-energy literature. To overcome this research gap, this study explores the link between EPU, CO 2 emissions, foreign direct investment (FDI), and renewable energy for the panel of four East Asian economies, namely, China, Japan, South Korea, and Singapore, from 1997 to 2020. We used second-generation econometric estimations to confirm cross-sectional dependence, cointegration, and stationarity among the selected variables. This study finds that economic policy uncertanity (EPU), trade, and GDP have a positive correlation with carbon emissions. However, FDI and renewable energy consumption boost the quality of the environment of East Asian economies. The outcomes of the Dumitrescu-Hurlin panel causality estimation revealed two-way association between CO 2 and economic policy uncertainty, CO 2 and energy consumption, CO 2 and economic growth, and CO 2 and trade. Afterward, we use the FMOLS estimations for robustness check. Based on the inclusive outcomes, we draw substantial suggestions for decision-makers and urge them to consider the potential negative effects of EPU on CO 2 emissions policies. In addition to this, if policymakers seek to simultaneously control EPU and CO 2 emissions, they should work out for alternate ways such as the use of green technology related to energy, foreign capital investment, and renewable energy consumption to mitigate CO 2 emissions., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Militarization is crucial for the sovereignty of a nation; however, there are many environmental hazards associated with increased military spending. Previous panel studies mainly captured the short-run effects of militarization on the environment. Limited scholars determined the long-run environmental impacts of militarization but they mostly ignored possible cross-sectional dependence and heterogeneity problems in panel data. Our research highlights this deeply neglected area and examines the impact of militarization on the environment in 22 OECD countries by controlling economic growth, renewable energy, and fossil fuel consumption. Drawing on an extensive dataset from 1971 to 2020, we employed advanced econometric approaches robust against endogeneity, heterogeneity, and cross-sectional dependence. The results of the cross-sectional augmented autoregressive distribute lag (CS-ARDL) analysis indicate a positive contribution of militarization to CO 2 emissions implying that militarization is adding to the environmental degradation in OECD nations. This evidence proves the treadmill of destruction theory for OECD nations in the modern world. Economic growth and fossil fuels consumption increase CO 2 emissions, while renewable energy mitigates emissions. Moreover, economic growth Granger causes militarization. Our results suggest that reduction in militarization level and energy conservation strategies will not hamper the economic progress of selected OECD countries., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The present study assesses the effect of public-private partnerships in energy and financial development on Brazil's ecological footprint and also takes into account the role of renewable energy and economic growth using data spanning from 1983 to 2017. The study utilized several techniques including autoregressive distributive lag (ARDL) and dynamic ordinary least square (DOLS) to examine the relationship between ecological footprint and the determinants, while the gradual shift causality test was utilized to capture the causal linkage between the series in the presence of a single structural break. The outcomes of the Maki co-integration test revealed evidence of a long-run association among the variables of interest. Furthermore, the results of the ARDL and DOLS tests revealed that economic growth and public and private investment in energy increase environmental degradation, while it is mitigated by both renewable energy and financial development. Moreover, the gradual shift causality test revealed a bidirectional causal linkage between ecological footprint and economic growth. The present study recommends the establishment of a forum that will foster public and private partnerships to enhance communication, which will promote collaboration on new initiatives involving green technological innovations., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

In recent years, many empirical studies investigated the effects of globalization on the ecological footprint (EF). Most of these studies relied on the KOF index of globalization and studied the effects of total globalization and disaggregated impacts of economic, social, and political globalization on the EF. However, less attention has been given to financial globalization which can also influence the EF. Hence, this study investigates the association between financial globalization (FG), economic growth (GDP), and EF controlling population density (PD) in the selected West Asian and the Middle East (WAME) nations from 1990 to 2017. The study relied upon second-generation methods for checking stationary properties and Westerlund and other techniques to scrutinize cointegration. The evidence showed cointegration in the model. The long-run approximations from continuously updated fully modified (CUP-FM) and continuously updated bias corrected (CUP-BC) tests divulge that financial globalization is an important factor to promote ecological sustainability in the sample countries because it decreases EF. Population density exacerbates EF and worsens environmental deterioration in sample countries. The study detected the environmental Kuznets curve (EKC) between EF and economic growth in the presence of financial globalization and population density. Besides, financial globalization Granger causes EF, while the feedback effect exists between EF and economic growth. Based on these results, WAME economies can accomplish ecological sustainability and sustainable development by enhancing their financial globalization levels., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Carbon neutrality target is of great importance to all countries around the globe recently. Innovative methods are being evaluated to achieve the environmental sustainability. In this study, we aim to inspect the influence of public-private partnership in energy and energy efficiency on CO 2 emissions in China from 1991Q1 to 2017Q4. In doing so, we include other important determinants of CO 2 emissions also, such as environmental innovation, renewable energy, energy productivity and economic growth in our model. We employ the advanced cointegration methods that are developed recently. Moreover, spectral Breitung and Candelon (BC) causality test is used to find the causal effects of technological innovation, energy productivity, public-private partnership in energy, renewable energy consumption and GDP on CO 2 emissions. The results suggest that increase in income and public-private partnership enhance carbon emission in China. Conversely, an improvement in energy productivity, renewable energy and technological innovation exert negative influence over CO 2 emissions. There is a need to improve the efficiency of public-private partnership in energy projects in terms of carbon emission. Policymakers in China need to ensure an effective and timely transition towards renewable energy sources through environment related innovations and improved efficiency in all sources of energy., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

The current research assesses the impact of political risk on carbon dioxide (CO 2 ) emissions in Brazil while controlling the role of financial development, GDP growth, trade openness, and technological innovation. In doing so, the quarterly dataset from 1990 to 2018 is utilized with Bayer and Hanck cointegration, dynamic ordinary least square (DOLS) and canonical correlation regression (CCR), and frequency-domain causality tests. The cointegration test revealed a long-run association amongst the variables of interest. Furthermore, the outcomes from the DOLS and CCR revealed that increasing financial development, technological innovation, trade openness, and real growth increase CO 2 emissions while a better political environment reduces environmental pollution., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

During the last few decades, China's transformation from a low-income country to an emerging economy causes carbon emission to rise extensively. Being the largest carbon emitter, China's continuous economic growth may inevitably cause more carbon emissions in the future. To achieve carbon neutrality targets, the country is striving to promote cleaner technologies. However, to finance these environmentally friendly projects, a well-developed financial system is a pre-requisite. This study examines the role of financial development along with output, financial risk index, renewable energy electricity and human capital on carbon emissions. This study uses updated time series data from 1988 to 2018 for China employing novel econometric approaches, i.e., Narayan and Pop unit root test with structural breaks, Maki cointegration and frequency domain causality test for long, short and medium run causality. The empirical outcome shows that improvement in financial development, renewable energy electricity, and human capital index cause to limit carbon emissions. In contrast, gross domestic product, financial risk index and structural break of 2001 increase carbon emissions. Moreover, structural break year of 2008 and financial development index reduces carbon emissions. The negative association between financial development and carbon emissions supports the positive school of thoughts of financial development that promotes a sustainable environment. This study recommends the promotion of quality human capital and green financial development along with increasing the shares of renewable energy in electricity for achieving China 2030 climate targets of reducing pollution., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Since climate change mitigation is the central debate of modern literature, the realization of carbon neutrality in response to diversified macroeconomic variables is the most crucial concern of international economies. However, the critical role of trade and renewable electricity output in export diversification-environmental nexus is missing. Therefore, this study investigates the combined influence of trade openness, exports diversification, and renewable electricity output on carbon dioxide emissions (CO 2 ) in China from 1989 through 2019. Applying novel time series econometric techniques robust to structural breaks, following new outcomes are obtained. Firstly, long-run equilibrium cointegration existed among the under-analysis variables. Secondly, export diversification and renewable electricity output are predicted to decelerate CO 2 , supporting carbon neutrality in the long run. Thirdly, trade openness and gross domestic product accelerated the CO 2 , delaying carbon neutrality accomplishment. Most importantly, significant structural break dummy interacting with trade openness implicated that during the post-2001 era, China's trade openness extensively deteriorated the environmental quality in the face of trade liberalization obtained after joining the World Trade Organization (WTO). Based on empirical results, export diversification and renewable electricity production policies should be mutually non-exclusive and closely coordinated. Further, to counter the carbon emission acceleration impact of trade openness, increasing the share of green tradable products is suggested. Finally, bilateral trade restructuring is recommended to realize the long-term dream of economic sustainability and carbon neutrality., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

The importance of environmental sustainability to all human aspects has been spiking as the world keeps evolving. Economies around the world are on the move to ensure sustainable economic development and a clean atmosphere through the use of renewable energy sources. Since the end of the nineteenth century, it is recognized that a global mean sea level rise speed about 1.7 ± 0.2 mm/year, but the rate has increased to 3.2 ± 0.4 mm/year. In this study, we investigated the dynamic linkage between average temperature and sea level within the global framework covering 1881 to 2013. The paper employs wavelet analysis to investigate the short-term and long-run causal links between global average temperature anomalies and global sea level. In this respect, our findings indicate that (i) a significant vulnerability in global average temperature and sea level is observed over the selected study period; (ii) global average temperature has considerable power for predicting sea level, particularly in the long-term. The causality test revealed a bi-directional causal relationship between global average temperature and sea level and unidirectional flow from global average temperature to sea level. And the study confirms the "conservation hypothesis," and it has long-run implications for environmental quality. Thus, minimizing global average temperature anomalies is a decisive ingredient for minimizing sea level rise. Based on these outcomes, both developed and developing countries' policymakers should support the Paris agreement (COP21) agreement to control CO 2 emissions growth. Policymakers should encourage the usage of environmentally friendly energy sources that will enhance environmental quality and hold the increase in global average temperature below 1.5 °C., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

To minimize the awful situation confronting the entire globe, the global warming danger has raised the intensity of consciousness from all areas of life. Therefore, the research assesses the impact of CO 2 emissions and energy use on economic performance and considers trade openness, urbanization, and agriculture in Indonesia utilizing data covering the period from 1965 to 2019. The current research employed the dynamic ordinary least square (DOLS) and autoregressive distributed lag (ARDL) tests to capture the long-run association between these economic indicators. Furthermore, the gradual shift and wavelet coherence tests are utilized to capture the direction of causality. The ARDL bound test discloses a long-run interconnection among the variables of interest. The outcomes of the ARDL and DOLS depict that CO 2 emissions, agriculture, energy use, and urbanization trigger economic growth. Moreover, the wavelet coherence test findings revealed a positive correlation between economic growth and urbanization, CO 2 emissions, agriculture, and energy consumption. Furthermore, there is evidence of a weak and positive correlation between economic growth and trade openness. The gradual shift causality test outcomes disclosed that economic growth can predict urbanization and energy consumption, while agriculture can predict economic growth. These outcomes have far-reaching significance for economic growth and the selected variables in Indonesia., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Following the United Nations Sustainable Development Goals (UN-SDGs), which place emphasis on relevant concerns that encompass access to energy (SDG-7) and sustainable development (SDG-8), this research intends to re-examine the relationship between urbanization, CO 2 emissions, gross capital formation, energy use, and economic growth in South Korea, which has not yet been assessed using recent econometric techniques, based on data covering the period between 1965 and 2019. The present study utilized the autoregressive distributed lag (ARDL), dynamic ordinary least square (DOLS), and fully modified ordinary least squares (FMOLS) methods, while the gradual shift and wavelet coherence techniques are utilized to determine the direction of the causality. The ARDL bounds test reveals a long-run linkage between the variables of interest. Empirical evidence shows that CO 2 emissions trigger economic growth. Thus, based on increasing environmental awareness across the globe, it is necessary to change the energy mix in South Korea to renewables to enable the use of sustainable energy sources and establish an environmentally sustainable ecosystem. Moreover, the energy-induced growth hypothesis is validated. This result is supported by the causality analysis, which shows a one-way causality running from energy consumption to GDP in South Korea. This suggests that South Korea cannot embark on conservative energy policies, as such actions will damage economic progress. Additionally, a unidirectional causality is seen from CO 2 emissions and energy consumption to economic growth. These findings have far-reaching consequences for GDP growth and macroeconomic indicators in South Korea., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

In recent years, a growing number of scholars have employed various proxies of environmental degradation to understand the reasons behind rising environmental degradation. However, very few studies have considered consumption-based carbon emissions, even though a clear understanding of the impact of consumption patterns is essential for redirecting the pattern to more sustainable consumption. Thus, this study takes a step forward by using consumption-based carbon emissions (CCO 2 ) as a proxy of environmental degradation using the novel non-linear ARDL technique for Chilefrom 1990 to 2018. To the best understanding of the investigators, no prior studies have investigated the drivers of consumption-based carbon emissions utilizing non-linear ARDL. The study employed ADF and KSS (non-linear) tests to check the data series' stationary level. Additionally, the symmetric and asymmetric ARDL approaches are utilized to explore cointegration and long-run linkages. According to the results, there is no symmetric cointegration among the variables; however, the empirical estimates reveal a long-run asymmetric connection between the indicators and CCO 2 emissions. The novel results from the asymmetric ARDL indicate that negative and positive changes in economic growth deteriorate the quality of the environment. Interestingly, a reduction in economic growth makes a more dominant contribution to environmental degradation. Moreover, positive changes in renewable energy usage improve the quality of Chile's environment, inferring that the country can achieve a reduction in environmental degradation by boosting renewable energy consumption. Surprisingly, the study found that technological innovation is ineffective in reducing consumption-based carbon emissions, which implies that Chile's technological innovation is not directed towards manufacturing green technology. Finally, the policy implications are discussed with respect to reducing consumption-based carbon emissions., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The present study provides a macro-level framework for gender issues and their link to energy policies and environmental quality, in line with the sustainable development goals (SDG). It examines the relationship between environmental sustainability, gender equality in education, energy consumption, and sub-Saharan Africa's income by using cointegration analysis and autoregressive distributed lag (ARDL) method. The study's estimation results are consistent with the Environmental Kuznets Curve (EKC) hypothesis and policy actions suggested by eco-feminist theories in both the short-run and long-run and show that gender equality in education has positively related to environmental sustainability in sub-Saharan Africa., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The present study explores the effect of renewable energy consumption and public-private partnership investment in energy on consumption-based carbon dioxide emissions for India from 1990Q1 and 2015Q4 whilst controlling technology innovation and economic growth. The study employs the Maki cointegration, Bayer-Hanck cointegration, fully modified ordinary least squares, dynamic ordinary least squares, and frequency-domain causality tests to explore these dynamics. The outcomes of the present study reveal that (i) there is a long-run cointegration equation between consumption-based carbon dioxide emissions and its possible determinants; (ii) whilst renewable energy consumption is beneficial for lowering consumption-based carbon dioxide emissions, public-private partnership investment in energy makes a positive contribution to consumption-based carbon dioxide emissions in the long-run; and (iii) public-private partnership investment in energy and renewable energy consumption also significantly causes consumption-based carbon dioxide emissions at different frequency levels in India. The present study recommends that policymakers in India should apply a series of policies to discourage the use of non-renewable energy and raise the share of renewable energy in order to reduce consumption-based carbon dioxide emissions in the country. The present study also recommends that public-private partnership investment in renewable energy should increase to achieve cleaner production processes.

One of humanity's most significant problems in the twenty-first century revolves around how to balance the mitigation of environmental pollution while achieving sustainable economic development. Despite increased awareness and dedication to climate change, the planet is still seeing a drastic decrease in the volume of pollutant emissions. This study explores the long-run and causal impact of economic growth, financial development, urbanization, and gross capital formation on Malaysia's CO 2 emissions based on the STIRPAT framework. The current paper employs recently developed econometric techniques such as Maki co-integration, auto-regressive distribution lag (ARDL), fully modified OLS (FMOLS), dynamic ordinary least square (DOLS), and wavelet coherence and gradual shift causality tests to investigate these interconnections. The advantage of the gradual shift causality test is that it can capture the causality in the presence of a structural break(s). The findings from the Maki co-integration and ARDL bounds tests reveal evidence of cointegration among the variables. The ARDL test reveals that economic growth, gross capital formation, and urbanization exert a positive impact on CO 2 emissions. Furthermore, the wavelet coherence test reveals that there is a significant dependency between CO 2 emissions and economic growth, gross capital formation, and urbanization. The Toda Yamamoto and Gradual shift causality tests reveal that there is a (a) unidirectional causality from urbanization to CO 2 emissions, (b) unidirectional causality from economic growth to CO 2 emissions, and (c) unidirectional causality from gross capital formation to CO 2 emissions.

The main aim of this paper is to explore the role of globalization on ecological footprint in Turkey while controlling energy consumption, economic growth, and trade openness. To achieve this objective, we employ dual adjustment approach. The main novelty of the dual adjustment approach is that the method offers another path to the cointegration analysis by relaxing the implicit assumption of the singular adjustment in cointegration analysis. The findings clearly reveal that (i) in the long run, globalization impacts ecological footprint positively and (ii) trade openness reduces ecological footprint in the short run, while ecological footprint is negatively affected by GDP growth in both the short and the long run. In terms of policy implications, this study suggests that in order to improve the environmental quality, Turkey should adopt such policies that encourage energy consumers to shift toward renewable energy. Moreover, the government should take necessary steps to diversify the overall energy mix toward renewable energy.

The purpose of the present study is to explain the long-run and causal effects of innovation, financial development, and transportation infrastructure on CO 2 emissions using the combined cointegration and wavelet coherence approaches over the period from 1971 to 2018, while using economic growth as a control variable in the model. The outcomes of the Bayer-Hanck cointegration test show that there is an important cointegration equation among CO 2 emissions, innovation, financial development, transportation infrastructure, and real GDP. Moreover, the findings from a wavelet power spectrum reveal that there is a significant vulnerability in innovation, financial development, transportation infrastructure, and CO 2 emissions at different time frames and frequencies. Furthermore, the outcomes of wavelet coherence approach reveal that (i) Innovation is observed as a significant predictor of CO 2 emissions over the period from 2007 to 2013; (ii) In the long run, there are negative correlations between CO 2 emissions and financial development; (iii) Over the periods from 2000 to 2015, and from 1985 to 1989, transportation significantly causes CO 2 emissions. Our findings have substantial policy implications that suggest there is a need to strengthen innovation and transportation infrastructure to achieve environmental sustainability targets., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

The present study aims to explore the co-movement between urbanization and environmental sustainability for the period 1950 to 2014 using the wavelet coherence technique within the global framework. The wavelet coherence technique allows us to investigate both the long-run and short-term causal relationships between urbanization and environmental sustainability within the global framework. The findings reveal that (i) wavelet correlation from the global perspectives indicates a significant wavelet relationship between urbanization and environmental sustainability for medium- and long-term horizons; however, the correlations are not significant for the short-term horizons; (ii) significant vulnerabilities in urbanization and environmental sustainability are observed at different periods and different frequency levels; (iii) urbanization has reliable power for explaining environmental sustainability at different periods between 1970 and 2000. Based on our study, we suggest that global urban planners and policymakers should support modern environment-friendly technologies and renewable energies to control global CO 2 emissions and pollutions created by industrialization; policy action to fight climate change is as well recommended as evidence supports to compact city theory.

This study aims to investigate the long-run and causal effects of energy consumption, economic growth, urbanization, and trade openness on CO 2 emissions in Turkey using newly developed econometric techniques. To our best knowledge, there has been no study examining the relationship between CO 2 emissions, energy consumption, trade openness, urbanization, and economic growth in Turkey. Therefore, this study proposes to fill this gap in the literature. In this study, we use time series data covering the years between 1960 and 2015. To capture long-run effects, we used ARDL, FMOLS, and DOLS estimators, while wavelet coherence technique is used to explore causal effects among the variables. Our results reveal that (i) there is a long-run equilibrium relationship between CO 2 emissions and energy consumption, economic growth, urbanization, and trade openness; (ii) in the long-run, CO 2 emission in Turkey is significantly triggered by energy consumption, economic growth, and urbanization; and (iii) the results of the wavelet coherence-based causality test provide supportive evidence to the long-run estimations of this study.

The present study investigates the effect of public–private partnership investment in energy and renewable energy consumption on carbon dioxide (CO2) emissions, taking into account the critical role of economic growth and trade openness in Pakistan from 1992 to 2019. The linear and nonlinear autoregressive distributed lag models are employed to check the co-integration link between dependent and independent variables, further estimate short-run and long-run associations, and examine the symmetric and asymmetric effects of public–private partnership investment in energy on CO2 emissions in Pakistan. The empirical findings show that public–private partnership investment in energy reduces environmental quality by increasing CO2 emissions. Similarly, economic development and trade openness harms the atmosphere by raising CO2 emissions. On the other hand, renewable energy consumption significantly negatively affects CO2 emissions. In addition, the findings also authenticate the asymmetric link between public–private partnership investment in energy and the environment, as CO2 emissions are caused mainly by positive shocks in public–private partnership investment in energy in the short and long run. This study proposes financing renewable energy projects through public–private partnership is needed for an environmentally friendly future. [ABSTRACT FROM AUTHOR]

This paper investigates whether carbon dioxide (CO2) intensity of gross domestic product (GDP) matters for environmental deregulations in Southern European countries over the period of 1990–2018 while controlling economic growth, globalization, and energy consumption. The present study uses the second generation panel based techniques, namely cross-sectional dependency test, cross-sectional unit-root test, Westerlund cointegration test, augmented mean group and common correlated effects mean group estimators, and Dumitrescu–Hurlin causality test to measure the effect of CO2 intensity of GDP, economic growth, globalization, and energy consumption on environmental degradation. The empirical finding of the present study reveals that the CO2 intensity of GDP is an important factor in determining environmental degradation in South European countries, as the outcomes show that a 1% boost in CO2 intensity of GDP is causing a 1.7728% increase in CO2 emissions. Moreover, a 1% increase in economic growth caused a 0.2568% boost in CO2 emissions. The result is crucial for policy decision-making and can perhaps be applied to take decisive policy actions to mitigate environmental issues. [ABSTRACT FROM AUTHOR]

One of humanity's most significant problems in the twenty-first century revolves around how to balance the mitigation of environmental pollution while achieving sustainable economic development. Despite increased awareness and dedication to climate change, the planet is still seeing a drastic decrease in the volume of pollutant emissions. This study explores the long-run and causal impact of economic growth, financial development, urbanization, and gross capital formation on Malaysia's CO2 emissions based on the STIRPAT framework. The current paper employs recently developed econometric techniques such as Maki co-integration, auto-regressive distribution lag (ARDL), fully modified OLS (FMOLS), dynamic ordinary least square (DOLS), and wavelet coherence and gradual shift causality tests to investigate these interconnections. The advantage of the gradual shift causality test is that it can capture the causality in the presence of a structural break(s). The findings from the Maki co-integration and ARDL bounds tests reveal evidence of cointegration among the variables. The ARDL test reveals that economic growth, gross capital formation, and urbanization exert a positive impact on CO2 emissions. Furthermore, the wavelet coherence test reveals that there is a significant dependency between CO2 emissions and economic growth, gross capital formation, and urbanization. The Toda Yamamoto and Gradual shift causality tests reveal that there is a (a) unidirectional causality from urbanization to CO2 emissions, (b) unidirectional causality from economic growth to CO2 emissions, and (c) unidirectional causality from gross capital formation to CO2 emissions. [ABSTRACT FROM AUTHOR]

It is globally acceptable that carbon dioxide (CO2) emissions are one of the greenhouse gases are considered the main factor influencing global warming and environmental degradation. The present study focuses on China, the world's largest carbon emitter. The study aims to capture the time-frequency dependency of economic growth and CO2 emissions in China for the time period 1950–2016 using a wavelet coherence approach, which allows us to investigate both the long-run and short-run causal links of the estimated variables. In order to capture the long-run and causal linkage between economic growth and CO2 emissions, the study employs Maki cointegration, wavelet coherence, Toda-Yamamoto causality, Fourier Toda-Yamamoto causality, and nonparametric Granger causality tests. The findings of this study reveal that (i) there is a significant vulnerability between economic growth and CO2 emissions throughout the 2000s both the short-term and medium-term; (ii) there is long-run cointegration linkage between economic growth and CO2 emissions in China; (iii) economic growth in China has an important power for predicting CO2 emissions over the selected study period, especially in the short-term and medium-term; and (iv) it was observed that there is positive correlation between economic growth during the 1980s and 1990s in the short-term only. The outcome of the Toda-Yamamoto causality, Fourier Toda-Yamamoto causality, and nonparametric Granger causality tests underlines that economic growth is a robust policy variable for predicting CO2 emissions in China. [ABSTRACT FROM AUTHOR]

This study aims to investigate the relationship between CO2 emissions in China and its prospective determinants, namely economic growth, globalization, financial development, and natural resources during the period from 1980 to 2017. We present more detailed analyses across multiple econometric approaches within a multivariate system, e.g., the Bayer‐Hanck combined cointegration approach, the ARDL bounds test approach, ARDL estimates in short run and long run, robustness check by cointegration regressions (i.e., FMOLS, DOLS, CCR), and Granger causality approach in the frequency domain. Our results show that economic growth and natural resources have a positive impact on CO2 emissions in China, although globalization contributes to improving its environmental quality. Meanwhile, there is no statistical evidence that CO2 emissions in China could be affected by financial development. The causality analysis reveals that globalization, economic growth and natural resources all lead to CO2 emissions in the long run, while financial development only causes the short‐run CO2 emissions, which further demonstrate our findings. Such findings are meaningful for policymakers to achieve the sustainable development in China. [ABSTRACT FROM AUTHOR]

This study aims to investigate the long-run and causal effects of energy consumption, economic growth, urbanization, and trade openness on CO2 emissions in Turkey using newly developed econometric techniques. To our best knowledge, there has been no study examining the relationship between CO2 emissions, energy consumption, trade openness, urbanization, and economic growth in Turkey. Therefore, this study proposes to fill this gap in the literature. In this study, we use time series data covering the years between 1960 and 2015. To capture long-run effects, we used ARDL, FMOLS, and DOLS estimators, while wavelet coherence technique is used to explore causal effects among the variables. Our results reveal that (i) there is a long-run equilibrium relationship between CO2 emissions and energy consumption, economic growth, urbanization, and trade openness; (ii) in the long-run, CO2 emission in Turkey is significantly triggered by energy consumption, economic growth, and urbanization; and (iii) the results of the wavelet coherence-based causality test provide supportive evidence to the long-run estimations of this study. [ABSTRACT FROM AUTHOR]

The recent historical increase in energy-related CO 2 emissions globally have put the United States of America's (USA) transportation sector in the spotlight, courtesy of the significantly high pollutant emissions from this particular sector. Taking a cue from this, this paper follows sustainable development goals of the United Nations, and investigates the impact of biomass energy consumption, fossil fuel energy consumption, and economic growth (GDP) on carbon dioxide (CO 2) emissions in the transportation sector of the USA. In doing so, this study also employs the Gregory-Hansen cointegration, Hatemi-J cointegration, cointegration regression (FMOLS, DOLS, and CCR), and Spectral Breitung-Candelon causality test for the period between 1981Q1 and 2019Q4. The findings reveal that (i) a significant nonlinear cointegration among the environmental quality determinants is observed, using the threshold cointegration test. This test determines the structural breaks endogenously and combines two cointegration tests, namely the Gregory-Hansen Cointegration and Hatemi-J Cointegration tests; (ii) while the use of biomass energy consumption and real GDP have a negative effect on CO 2 emissions in the transportation sector, the rising fossil fuel energy consumption is associated with increasing the CO 2 emissions that are stemming from the transportation sector; (iii) in the long-run, biomass energy consumption, fossil fuel energy consumption, and real GDP cause CO 2 emissions to stem from the transportation sector in the USA at different frequency levels. In general, the current study offers policy insights for the transportation sector of the USA and other similar economies that replicate the same conditions. Image 1 • We explore the driving forces of CO 2 emissions in the transport sector for the USA. • We employ advanced time series econometric techniques for empirical analysis. • Biomass energy and real GDP help to mitigate CO 2 emissions in the transport sector. • Fossil fuel energy has a positive impact on CO 2 emissions in the transport sector. • All variables have a causative relationship with CO 2 emissions in the long-run. [ABSTRACT FROM AUTHOR]