Modeling the effect of green technology innovation and renewable energy on carbon neutrality in N-11 countries? Evidence from advance panel estimations

Does natural resource dependence restrict green development? An investigation from the "Belt and road" countries

Addressing natural resource dependence is integral to achieving the Sustainable Development Goals by promoting economic diversification, environmental sustainability, and climate resilience. This study explores the effect of natural resource dependence on green development by adopting the balanced panel dataset from the "Belt and Road" countries from 2005 to 2019. Notably, the novelty of our analysis lies in the empirical analysis using instrument-based techniques that consolidate the "green development curse hypothesis" in the Belt and Road countries. The mechanism analysis reveals that natural resource dependence curbs green development by weakening innovative capability, disturbing institutional quality, reducing population density, and crowding out human capital. Further, the dynamic panel threshold model handling endogeneity verifies the nonlinear relationship between natural resource dependence and green development. Interestingly, digital trade offers greater "resilience" than traditional trade, correcting the resource curse dilemma. Finally, heterogeneity analyses indicate that the green development curse hypothesis only exists in countries with high-level environmental regulations and resource-based countries.

Examining the relationship between international digital trade, green technology innovation and environmental sustainability in top emerging economics

Ensuring preserving a sustainable environment is a crucial concern for individuals worldwide. In previous research, CO2 emissions have been used to measure environmental deterioration. However, in this study, we have expanded the scope to include carbon emissions and several other gases. This comprehensive measure is referred to as the ecological footprint (EFP). More significant international digital trade (IDT) has the potential to achieve several positive results, including reducing EFP (economic frictions and barriers), stimulating economic growth, and minimizing trade risk and volatility. These benefits can be realized by implementing structural reforms in significant production and development sectors. Green technology innovation (GTI) has the potential to make substantial progress in ecological quality and energy efficiency. Nevertheless, previous studies still need to adequately prioritize examining rising economies in terms of international trade diversification and GTI. This study examined the effects of IDT, GTI, and renewable energy consumption (REC) on EFP in BRICST countries. The study utilized data from the period between 1995 and 2022. The cross-sectionally augmented autoregressive distributed lag (CS-ARDL) model demonstrates that EFP negatively correlates with trade diversification, REC, and GTI in the long and short term. These countries have demonstrated a significant presence of eco-friendly products in their trade portfolios, and their manufacturing processes are shifting towards GTI. The objective is to enhance the REC sources and minimize EFP from consumption. Conversely, the increasing economic growth within this economic group has a compounding impact on the environment's decline since it amplifies the carbon emissions from increased consumption. To reduce the EFP level, the paper suggests increasing investment in GTI, promoting worldwide digital trade, and embracing renewable energy sources.

Does tourism development, financial development and renewable energy drive high-quality economic development?

Tourism development is generally agreed upon to be a key tool in promoting economic growth, and green development has emerged as a significant idea and an efficient approach to accomplish this goal in a manner that is environmentally responsible. It is common knowledge that making the switch to renewable sources of energy may act as a catalyst for economic development in both developed and developing nations. Therefore, people all over the globe are beginning to realize the significance of advancing renewable energy's rising importance that suggests that it will be used extensively in the years to come. The purpose of this study is to examine the effect that increasing tourism and adopting renewable energy sources impact on green economic growth development in the region using the AMG test BRICS nations from 2001 to 2022. This research additionally makes use of a rigorous check by means of the CCEMG exam and the DCCEMG test. According to the findings, green economic growth is influenced favorably by the expansion of the tourist industry, renewable energy, and the digital economy, but urbanization and the rise financial industry are detrimental to green economic growth. D-H panel causality test results show that tourism development is causally related to green economic growth, green economic growth to urbanization, and green economic growth to the usage of renewable energy sources. According to these results, the management authorities of BRICS nations should embrace policies of green growth while also controlling environmental pollution in order to achieve sustainable economic development whereas in rural areas. The findings have major policy implications for the nations that make up the BRICS bloc. These implications pertain to the enhancement of tourist development, the digital economy (DIG), and financial institutions, all of which have the potential to improve environmental quality.

Revisiting the EKC framework concerning COP-28 carbon neutrality management: Evidence from Top-5 carbon embittering countries

In the aftermath of the 28th Conference of the Parties (CoP) climate summit in the UAE, the majority of developing countries encounter challenges in attaining their objectives of carbon neutrality for a sustainable economy. The association of economic factors such as economic growth, governance structures, forest area, renewable energy consumption, technological innovation, and urbanization with environmental elements (carbon footprint) is vital for sustainable economic development and environmental management strategies. Therefore, this research reveals this association in five selected high-emitting countries spanning from 1990 to 2022. This research utilizes the Environmental Kuznets Curve (EKC) framework to investigate the interrelationship between these variables. To do so, this study employs the cross-sectional autoregressive distributed lags (CS-ARDL) statistical technique to determine the short- and long-term impacts of the variables under investigation on carbon footprint. In contrast, the mean group (MG) and common correlated effect mean group (CCEMG) have been applied for robustness. The findings revealed that GDP, urbanization, and forest area have positive associations with carbon footprints, whereas GDP square, renewable energy consumption, technological innovation, and governance effectiveness have inverse relationships with carbon footprints. These findings provide all stakeholders with valuable policy recommendations and management advice for accelerating the transition of renewable energy to low-carbon and green growth.

Asymmetric role of green energy, innovation, and technology in mitigating greenhouse gas emissions: evidence from India

The primary cause of environmental degradation, which poses a danger to the long-term viability of the ecosystem, is the emission of greenhouse gases (GHG). For this reason, the Glasgow Climate Pact (COP26) established a decarbonization goal in response to this ecological concern, for which all economic players have a responsibility. India is among the participants who have a target set for them to decarbonize their economies by the year 2060 via the use of green energy and the advancement of science and innovation. Nevertheless, the asymmetrical effect of green energy, technology, and innovation on India's decarbonization program was not sufficiently explored in the prior study; hence, this research aims to fill this literature vacuum by considering India's GHG emissions from 1990 to 2020 by leveraging the non-linear autoregressive distributed lag (NARDL) model. The findings reveal the asymmetric influences of variables of interest on GHG emissions during the short and long term and under positive and negative shocks. Regarding the positive shock, long-term findings demonstrate that innovation and technical know-how grow GHG emissions and accelerate environmental degradation. However, a negative shock in innovations and technological know-how is opposed to a positive shock and improving environmental conditions. Further, positive shocks in green energy boost environmental effectiveness by reducing GHG secretions in India. In contrast, the negative shock in green energy deteriorates the environment by triggering GHG releases. These factual findings compel the Indian government to prioritize green technologies in addition to green energy generation to decouple economic growth from greenhouse gas emissions and meet rising energy demands.

Renewable energy technology innovation and urban green economy efficiency

Green economy efficiency is the core-factor of urban economic and environmental development. As a sustainable instruments, renewable energy technology innovation (RETI) not only reflects the low energy-consumption, but also promotes the reasonable and balanced relationship between resources utilization and urban economy. In this regard, this paper selects China's cities to investigate the effect of RETI on urban green economy efficiency from 2004 to 2020 based on theoretical analyses and previous studies. The paper finds that RETI can promote urban green economy efficiency significantly, passing a series of robustness test, and its effect has connected differently with the factor of regional factor, cleaner production level and environment pollution. Meanwhile, RETI promotes urban green economy efficiency by reducing CO2 emission and polluting manufacturing agglomeration. To date, this study has discovered the green economy efficiency improvement effects of RETI, providing theoretical basis and practical recommendations for government, technological agency and urban industries.

How the digital infrastructure construction affects urban carbon emissions-A quasi-natural experiment from the "Broadband China" policy

The global emphasis on informatization and low-carbon development is growing. Using staggered Difference-In-Differences (DID) methodology, this research examines the impact of digital infrastructure development on urban carbon dioxide emissions and explores its underlying causal mechanisms. Drawing from a comprehensive 2009-2019 panel dataset of 240 Chinese cities, the study employs the "Broadband China" policy as a reliable proxy for digital infrastructure construction (DIC). The findings indicate that DIC effectively reduces urban carbon dioxide emissions, fostering sustainable low-carbon regional economic development. The results withstand robustness tests, revealing heterogeneous effects, with coastal cities and those with stronger environmental regulations experiencing more significant reductions. The study suggests that upgrading industrial structure and enhancing green innovation capacity are effective methods for DIC to mitigate urban carbon emissions. The paper concludes with policy recommendations, emphasizing leveraging policy dividends, addressing regional disparities, and adopting a multi-path development approach. Providing new insights and empirical data, this research contributes to understanding the relationship between DIC and urban carbon emissions, offering policy guidance for China's carbon reduction efforts and strategic objectives of carbon peaking and neutrality.

The impact of green finance policy on green innovation performance: Evidence from Chinese heavily polluting enterprises

Green innovation (GI) is increasingly recognised as an effective strategy for tackling climate change, mitigating environmental issues, and promoting sustainable development. Using panel data of the Chinese listed firms from 2007 to 2019, this study adopts the difference-in-differences approach to assess the impact of the green finance policy (GFP) initiated by the Chinese government in 2012 on the green innovation performance of firms. The findings reveal that the GFP significantly boosts the green innovation performance of heavily polluting enterprises (HPEs). Notably, this effect is more pronounced in state-owned enterprises and firms with high dependence on external finance. Compared with penalty-based regulations, incentive-based and voluntary environmental regulations demonstrate more significant moderating effects on the relationship between the GFP and green innovation performance for HPEs. We also identify improved efficiency in the usage of green investments as a potential mechanism through which the GFP enhances the green innovation performance of HPEs. Further comparative analysis shows that green enterprises can achieve simultaneous improvement in both the quality and quantity of green innovation, whereas HPEs predominantly exhibit enhancements in innovation quantity. To maximise the GFP's positive effects, it is recommended to facilitate more targeted bank lending towards HPEs to support their structural transformation. Additionally, the coordinated deployment of diverse environmental policy instruments is advised to exploit their synergistic effects.

Anthropological responses to environmental challenges in SAARC nations: A comparative analysis

The purpose of the study is to investigate the relationships and potential impacts of environmental pollutants, human resources, GDP, sustainable power sources, financial assets, and SAARC countries from 1995 to 2022. Board cointegration tests, D-H causality, cross-sectional reliance (CSD), Saville and Holdsworth Restricted (SHL), and the DSK Appraisal Strategy were among the logical techniques employed to discover long-term connections between these components. Results demonstrate that GDP growth, renewable energy sources (REC), and environmental pollution (ENP) all contribute to SAARC countries' progress. However, future opportunities and HR are negatively impacted by increased ecological pollution. The results of the two-way causality test demonstrate a strong correlation between HR and future possibilities. Opportunities for the SAARC countries are closely related to the growth of total national output, the use of green electricity, and public support sources. Ideas for tackling future projects are presented in the paper's conclusion. These include facilitating financial development, reducing ecological pollution, financing the progress of human resources, and promoting the use of sustainable power sources.

Coordinated development of green finance and green technology innovation in China: from the perspective of network characteristics and prediction

Under the path of sustainable development, the key to achieving green and low-carbon transformation lies in green technology innovation (GTI), and how to effectively coordinate the relationship between green finance (GF) and GTI is an issue worth studying. This paper constructed an evaluation system of GF and GTI and combined them with the coupled coordination degree model to explore their coordination of Chinese provinces from 2012 to 2019. Then, the core network evolution and spatial structure characteristics of GTI and GF were studied using the modified gravity model. Finally, based on the link prediction, the general future network prediction is made to provide guidance and direction for the future GTI and GF development and construction. The results found that the coordination level between GF and GTI has been continuously improved from 0.356 to 0.436. The core network structure is keeping changing with their connection becoming more complex, and there is still room for optimization. Network centrality characteristics show that the spatial spillover effects are stronger in the more economically developed regions. The overall network possibility prediction shows the potential network connections in different urban agglomerations. This paper provides a certain reference role for China and developing countries to predict the GF and GTI cooperation network development in the future.

Do renewable energy sources improve air quality? Demand- and supply-side comparative evidence from industrialized and emerging industrial economies

This study is an attempt to comparatively analyze the impact of renewable energy sources on air quality represented by particulate matter 2.5 concentrations utilizing panel data of 60 countries which are divided into two sub-panels industrialized economies and emerging industrial economies over the period 2010-2019. The study adopts both demand- and supply-side approaches and hence renewable sources are handled in two different structures, i.e., renewable energy consumption and production. Empirical results from both demand- and supply-side regressions strongly confirm the positive impact of renewable sources on air quality in all country groups, meaning that higher renewable energy production and consumption bring about improvement in air quality. In addition, this positive impact of renewables on air quality turned out to be higher in emerging industrial economies than that in industrialized ones. To be more precise, as all control variables are considered, a 10% increase in the production of renewable energy sources brings about a 0.66% improvement in air quality in industrialized economies while its impact is a value of 1.33% in emerging industrial economies. On the other hand, a 10% increase in consumption of renewable energy sources leads to a 0.62% improvement in air quality in industrialized economies and a 1.97% improvement in emerging industrial economies. As for control variables, industrialization gives rise to an increase in air pollution in all country groups, whereas economic growth and trade openness function as favorable factors for air quality. Although population density improves air quality in industrialized economies, it is found as one of the main pollutant factors in emerging industrial economies. Overall results proved that renewable sources improve air quality by reducing particulate matter 2.5 concentrations. Therefore, these countries, especially emerging industrial economies, should replace primitive energy sources like fossil fuels with renewables to bring down environmental degradation up to a reasonable level and increasingly continue to invest in renewable energy domain to reach their environmental sustainability targets. The study also provides some additional policy implications.

Analyzing the impacts of renewable energy, patents, and trade on carbon emissions-evidence from the novel method of MMQR

Achieving sustainable development necessitates proactive measures to mitigate the economy's negative impact on environmental standards. A new empirical association between renewable energy patent innovation and net international trade on carbon emissions in ASEAN countries from 1990 to 2021 is presented, along with its significance. Using present panel data techniques, this study investigates the connections between these factors. Second-generation cointegration and unit root tests, as well as a novel method of Moments Quantile Regression, are used in the econometric procedure. Compared to standard quantile regression, this method is more resistant to outliers and provides an asymmetric relationship between the variables. The findings show that trade increases carbon emissions in countries with medium to high emissions, that patent innovation contributes to increasing emissions, and that renewable energy mitigates carbon emissions in countries with low to medium emerging economies. Our results are consistent with other specifications, including quantile regression canay (Canay 2011), fully modified, dynamic, and fixed effect regressions, proving the EKC hypothesis. These countries need to prioritize greener products and adopt advanced manufacturing technologies to reduce carbon emissions from consumption. However, as prosperity increases, it also leads to higher consumption-based carbon emissions, worsening ecological damage in the region. Implementing policies like trade synchronization and increasing investment in patent innovations are proposed in this study to lower the current level of carbon emissions.

An empirical examination of the environmental sustainability-influencing mechanisms of renewable energy: contextual evidence from Next Eleven countries

Recognizing the environmental development-related commitments made by the Next Eleven countries at 26th Conference of Parties (COP26), this study scrutinizes the repercussions accompanying good democratic governance, renewable energy transition, economic growth, and the ratification of the Kyoto Protocol on carbon emission figures of these emerging nations. In this regard, the period of analysis considered spans from 1990 to 2018 while the econometric analyses involve application of both parametric and non-parametric panel data estimators. Among the key findings, firstly, the outcomes from the parametric estimation methods verify that establishing better democratic governance and undergoing renewable energy transition, both independently and jointly, curb carbon emission levels, while higher economic growth and the signing of the Kyoto Protocol are responsible for boosting emissions the Next Eleven countries. Secondly, the findings derived using the non-parametric methods reveal a great deal of heterogeneity when compared with the results obtained from the parametric analysis. Notably, better democratic governance is seen to reduce carbon emissions in less and moderately polluted. Next Eleven nations, while renewable energy transition curbs emissions only in the moderately and highly polluted ones. Additionally, these variables jointly inhibit emissions only in the Next Eleven nations that are moderately polluted. Besides, better democratic governance is observed to mediate the renewable energy transition-carbon emissions nexus only for the less-polluted Next Eleven nations, while the environmental impacts of economic growth and the signing of the Kyoto Protocol vary across different emission quantiles. Accordingly, relevant policies are recommended for helping the Next Eleven countries to comply with their pledges made at the COP26.

Advancements in technology and innovation for sustainable agriculture: Understanding and mitigating greenhouse gas emissions from agricultural soils

In recent decades, Technology and Innovation (TI) have shown tremendous potential for improving agricultural productivity and environmental sustainability. However, the adoption and implementation of TI in the agricultural sector and its impact on the environment remain limited. To gain deeper insights into the significance of TI in enhancing agricultural productivity while maintaining environmental balance, this study investigates 21 agriculture-dependent Asian countries. Two machine learning techniques, LASSO (Least Absolute Shrinkage and Selection Operator) and Elastic-Net, are employed to analyze the data, which is categorized into three regional groups: ASEAN (Association of Southeast Asian Nations), SAARC (South Asian Association for Regional Cooperation), and GCC (Gulf Cooperation Council). The findings of this study highlight the heterogeneous nature of technology adoption and its environmental implications across the three country groups. ASEAN countries emerge as proactive adopters of relevant technologies, effectively enhancing agricultural production while simultaneously upholding environmental quality. Conversely, SAARC countries exhibit weaker technology adoption, leading to significant fluctuations in environmental quality, which in turn impact agricultural productivity. Notably, agricultural emissions of N2O (nitrous oxide) and CO2 (carbon dioxide) in SAARC countries show a positive association with agricultural production, while CH4 (methane) emissions have an adverse effect. In contrast, the study reveals a lack of evidence regarding technological adoption in agriculture among GCC countries. Surprisingly, higher agricultural productivity in these countries is correlated with increased N2O emissions. Moreover, the results indicate that deforestation and expansion of cropland contribute to increased agricultural production; however, this expansion is accompanied by higher emissions related to agricultural activities. This research represents a pioneering empirical analysis of the impact of TI and environmental emission gases on agricultural productivity in the three aforementioned country groups. It underscores the imperative of embracing relevant technologies to enhance agricultural output while concurrently ensuring environmental sustainability. The findings of this study provide valuable insights for policymakers and stakeholders in formulating strategies to promote sustainable agriculture and technological advancement in the context of diverse regional dynamics.

Striving towards 2050 net zero CO2 emissions: How critical are clean energy and financial sectors?

The development of clean energy and financial sectors have been highlighted as critical factors in tackling climate change and achieving net zero emissions goals. Hence, using a dataset for the top 20 emitter countries from 1990 to 2019, this study examines whether clean energy consumption, financial development, human capital, population, and economic growth are connected with environmental quality through a reduction in carbon emissions. The long-run estimates show that renewable energy utilization, financial development, and human capital are significant in reducing CO2 emissions in the quest for net zero emissions. Contrarily, economic growth and population have a increases CO2 emissions. The results of the causality test show a two-way causality between renewable energy use, financial development, economic growth, population, and CO2 emissions. Moreover, one incidence of unidirectional causality is observed from CO2 emissions to human capital. Based on the findings, policy implications are suggested.

Role of green financial assets, financial technology and the green energy on the development of a green economy

A major issue for governments in the past few decades has been environmental deterioration caused by economic activity. Researchers are increasingly interested in the factors that contribute to environmental deterioration. The study aims to test the role of green bond financing on energy efficiency investment and economic growth. In this investigation, we use the ARDL estimator to investigate the relationships between the financial technology, green bonds, green stock, green supply chain and the development of green energy. The importance of green supply chain, green energy, green bonds and financial technology has been identified as major variables. According to the study's findings, green supply chain, green finance and sustainable economic growth are all essential and positive indicators of a composite assessment of sustainable practices. Green bonds, reducing greenhouse gas emissions and green economic development all play a necessary part in green finance development.

Renewable and non-renewable energy consumption, energy technology investment, green technological innovation, and environmental sustainability in the United States: Testing the EKC and LCC hypotheses with novel Fourier estimation

The energy sector represents one of the key contributors to environmental degradation. In this context, actions taken within the energy sector are paramount in the global effort to combat climate change. This study aims to investigate the impacts of renewable and non-renewable energy consumption, energy technology investment, and green technological innovation on environmental sustainability in the context of EKC and LCC hypotheses in the USA from 1980 to 2015. While many studies in the literature focus on the EKC hypothesis, this study offers a comparative analysis of the EKC and LCC hypotheses with relevant variables. For this aim, the study uses the novel Fourier estimation methods. According to the results, the EKC and the LCC hypotheses are valid in the USA. Moreover, non-renewable energy consumption increases the ecological footprint. On the other hand, non-renewable energy consumption decreases the load capacity factor while renewable energy consumption increases it. Finally, energy technology investment and green technological innovation have an insignificant impact on the ecological footprint and the load capacity factor in both models. All results except energy technology investment and green technological innovation are consistent with our expectations. The USA has the potential to realize green growth. Policymakers should support the green technological innovation process and increase green investments.

Creating a greener future: the crucial role of green innovation and supply chain management in corporate sustainability

One of the most pressing concerns today is how to improve green innovation and supply chain management for company sustainability. It has been discovered that inefficient supply chain management is a major barrier limiting eco-friendly innovation. The supply chain management process is crucial to a company's long-term viability, yet previous research barely scratched the surface of its significance. This article uses a resource-based view to investigate how integrating green innovation and organizational agility into the supply chain management process contributes to the long-term success of businesses. This study used a cross-sectional approach. Structured equation modeling was used to examine data collected through convenience sampling from 475 employees of Chinese multinational manufacturing enterprises. Green innovation helps smooth over the bumps on the road between supply chain management and sustainable business results. Green innovation and business sustainable performance also benefit from organizational agility, which was not shown to moderate this relationship. The study teaches that in today's knowledge-based economy, firms that invest in novel technologies and adopt greener strategies are better able to address sensitive issues like supply chain management and organizational agility and achieve long-term success. This research aims to provide light on the complex interconnections between supply chain management, green innovation, and the sustainable performance of businesses. The theoretical framework for the present research was validated by the occurrence of a positive association between these variables.

Metal Oxide Nanowire-Based Sensor Array for Hydrogen Detection

Accurate hydrogen leakage detection is a major requirement for the safe and widespread integration of this fuel in modern energy production devices, such as fuel cells. Quasi-1D nanowires of seven different metal oxides (CuO, WO3, Nb-added WO3, SnO2, ZnO, α-Bi2O3, NiO) were integrated into a conductometric sensor array to evaluate the hydrogen-sensing performances in the presence of interfering gaseous compounds, namely carbon monoxide, nitrogen dioxide, methane, acetone, and ethanol, at different operating temperatures (200-400 °C). Principal component analysis (PCA) was applied to data extracted from the array, demonstrating the ability to discriminate hydrogen over other interferent compounds. Moreover, a reduced array formed by only five sensors is proposed. This compact array may be easily implementable into artificial olfaction systems used in real hydrogen detection applications.

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

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

Advancing higher education and its implication towards sustainable development: Moderate role of green innovation in BRI economies

Environmental deterioration is one of the major problems the globe is facing in the modern period. On the other hand, several groups around the world have endeavored to launch efforts to protect the planet, such as the Sustainable Development Goals. Therefore, the proposed objectives' primary duty is to strike a balance between development and environmental concerns. This study looked at 65 Belt and Road Initiative (BRI) economies to see how factors, including the economic complexity index, urbanization, ICT, higher education, and green innovation, affected carbon emissions in the presence of sustainable development. Annual time series data from 2000 to 2020 have been used in the analysis. This study employs the CC-EMG to determine the durability of the association between the variables. AMG and quantile GMM regression estimations were used to test the robustness and reproducibility of the results. The results reveal that higher education and green innovation help lower carbon emissions, whereas the economic complexity index and urbanization are beneficial for increasing economic activity and advancing information and communication technologies. The economic complexity index, ICT, and higher education are all negatively impacted by green innovation. Important policy implications of the computed coefficients for the selected and other developing markets in planning a suitable path forward to a sustainable environment are also provided.

The impact of green technology innovation on carbon dioxide emissions: The role of local environmental regulations

Environmental pollution has become a global issue attracting ever-increasing attention. Green technology innovation (GTI) is considered an effective strategy in countering this problem and helping achieve sustainability goals. However, the market failure suggests that intervention from the government is necessary to promote the effectiveness of technological innovation and hence, its positive social impacts on emissions reduction. This study investigates how the environmental regulation (ER) influences the relationship between green innovation and CO₂ emissions reduction in China. Employing data from 30 provinces from the period 2003 to 2019, the Panel Fixed-effect model, the Spatial Durbin Model (SDM), the System Generalised Method of Moments (SYS-GMM) and the Difference-In-Difference (DID) models are applied to take issues relating to endogeneity and spatial impact into consideration. The results indicate that environmental regulations positively moderate the impact of green knowledge innovation (GKI) on CO₂ emissions reduction but have a much weaker moderation effect when green process innovation (GPI) is considered. Among different types of regulatory instruments, investment-based regulation (IER) is the most effective in promoting the relationship between green innovation and emissions reduction, followed by command-and-control-based regulation (CER). Expenditure-based regulation (EER) is less effective and can encourage short-termism and opportunistic behaviour among firms, who can accept the paying of fines as a cheaper cost over the short-term than investment in green innovation. Moreover, the spatial spillover effect of green technological innovation on carbon emissions in neighbouring regions is confirmed, in particular when IER and CER are implemented. Lastly, the heterogeneity issue is further examined by considering differences in the economic development and the industrial structure across different regions, and the conclusions reached remain robust. This study identifies that the market-based regulatory instrument, IER, works best in promoting green innovation and emissions reduction among Chinese firms. It also encourages GKI which may assist firms in achieving long-term sustained growth. The study recommends further development of the green finance system to maximise the positive impact of this policy instrument.

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

This study investigates the impact of environmental technological innovation, economic complexity, energy productivity, the use of renewable electricity generation, and environmental taxes on carbon dioxide (CO₂) emissions in the G-10 countries for the timeframe from 1995 to 2020. The purpose of the study is to examine the need for a clear plan or strategy to achieve environmental objectives in G-10 countries. In both short-term and long-term projections, the increased use of environment-based technology, economic complexity, and renewable electricity generation has a major positive impact on carbon emission reduction. Moreover, the results demonstrate both unidirectional and bidirectional causality from carbon emissions to renewable energy, electrical generation, and environment-based technologies, respectively. Based on the results, the study proposes a number of concrete policies, such as updating modernized tax systems, increasing tax collection, providing individuals with the means to finance the Sustainable Development Goals through incentive regulations, and making grants from international organizations and the private sector available to finance investments toward the Sustainable Development Goals (SDGs) and carbon neutrality environment targets. This is the study's most significant contribution in order to attain a sustainable and low-carbon future in the G-10 countries, which has policy implications for governments and policymakers.

Probing environmental sustainability pathways in G7 economies: the role of energy transition, technological innovation, and demographic mobility

Global warming remains the most devastating environmental issue embattling the global economies, with significant contributions emanating from CO₂ emissions. The continued rise in the level of greenhouse gas (GHG) emissions serves as a compelling force which constitutes the core of discussion at the recent COP26 prompting nations to commit to the net-zero emission target. The current research presents the first empirical investigation on the roles of technological advancement, demographic mobility, and energy transition in G7 pathways to environmental sustainability captured by CO₂ emissions per capita (PCCO2) from 2000 to 2019. The study considers the additional impacts of structural change and resource abundance. The empirical backings are subjected to pre-estimation tests consisting of cross-sectional dependence, second-generation stationarity, and panel cointegration tests. The model estimation is based on cross-sectional augmented autoregressive distributed lag, dynamic common correlated effects mean group, and augmented mean group for the main analysis and robustness checks. The findings reveal the existence of EKC based on the direct and indirect effects of the components of economic growth. The indicators of demographic mobility differ in the direction of influence on PCCO2. For instance, while rural population growth negatively influences PCCO2 in the short-run alone, urban population growth increases PCCO2 in the short-run and long-run periods. Nonrenewable energy, information computer technology (ICT) imports, and mobile cellular subscriptions serve as positive predictors of PCCO2, while ICT exports and renewable energy moderate the surge in PCCO2. Policy implications that enhance environmental sustainability are suggested following the empirical verifications.

Impact of green technological innovations on environmental quality for Turkey: evidence from the novel dynamic ARDL simulation model

The contribution of this research is to provide empirical evidence that investing in green technology innovation (GTI) can reduce the ecological footprint in Turkey, which can lead to sustainable economic growth and environmental quality. The research also highlights the importance of controlling energy consumption, GDP, trade openness, and urbanization, as these variables have a positive or negative effect on ecological footprint. The findings of this research can be useful for the Turkish government, policymakers, and environmentalists to promote the implementation of GTI and eco-friendly resources, which can reduce the impact of climate change and contribute to economic prosperity. Overall, this research provides important information for decision-makers to adopt policies that prioritize green innovation and environmental protection in Turkey.

Can green technology reduce carbon dioxide emissions? Evidence from G7 and BRICS countries

This study estimates the impact of green technology innovation and its interaction terms on CO₂ emission, by using the random and fixed effect estimate method, employs panel data of the G7 and BRICS countries from 1990 to 2019. The regression results show that a single type of green technological innovation has not a significant inhibitory effect on CO₂ emissions. The interaction of the two types of green technological innovations has a significant effect on the decrease of CO_2. Moreover, the study test the difference effect of green technological innovations on CO₂ emission among the G7 and BRICS countries. Furthermore, we also choose appropriate instrument variables to deal with the endogenesis of the model and examine model robustness. The findings demonstrate that the empirical conclusions can hold true in the test. Based on the findings above, we puts forward a few policy recommendations for G7 countries and BRICS countries to reduce carbon dioxide emissions.

Exploring the roles of green finance and environmental regulations on CO2es: defining the roles of social and economic globalization in the next eleven nations

Achieving sustainable environmental growth and preventing further environmental degradation are challenging goals for policymakers. This study looks at environmental laws and green finance's role in fostering a more sustainable environment. The literature still needs to empirically or theoretically investigate how environmental laws and green financing affect carbon dioxide (CO2) emissions, particularly when combined with moderating factors such as social and economic globalization. As a result, this study investigates how environmental laws and green funding can help the N-11 nations cut their CO2 emissions. Our research uses empirical data from a group of the N-11 nations that span the years 2000 to 2019. To handle issues with panel data analysis, such as cross-sectional dependence and slope heterogeneity, we use advanced panel approaches (CIPS and CADF unit root and cointegration test and cross-sectional augmented ARDL). This research demonstrates that green financing (GFI) and environmental laws (ENV) have a negative but significant effect on CO2 emissions. While social globalization moderates the causal relationship between energy consumption and GDP while negatively and significantly causing GFI and ENV with CO2 emissions among the N-11 countries, economic growth has had a positive and significant effect on CO2 emissions in the N-11 countries. According to our research, nations could achieve the SDG-7 and SDG-13 goals if they adopted green financial and environmental policies.

Does unionization reduce CO2 emissions in Canada?

The existing literature is ambivalent on the relationship between unionization and climate change. There is some anecdotal evidence that in some cases, labor unions play a role in implementing climate protection measures. In other cases, unions were more concerned with saving jobs than with reducing emissions. Nonetheless, empirical studies on the relationship between unions and environmental outcomes are limited. The objective of this study is to fill the gap in the literature by examining if unionization has any impact on CO₂ emissions in Canada, after controlling for energy consumption, unemployment rate, and real GDP per capita. Cointegration techniques including Johansen methods and autoregressive distributed lag (ARDL) techniques are applied to a dataset that covers the period from 1969 to 2016. The results suggest that, on average, a 1% increase in unionization reduces CO₂ emissions by approximately 0.25%. This is the first study that examines the union-climate dynamics for Canada. One policy implication of the finding is that the governments should develop incentives for industries to implement climate measures through collective bargaining.

Do green innovation, I.C.T., and economic complexity matter for sustainable development of B.R.I. economies: moderating role of higher education

The research intends to enlarge the environmental economics literature by displaying the probable mechanisms between green innovation, higher education, and sustainable development. In the context of a new era, sustainability faces challenging obstacles. Many studies have looked at fundamental factors affecting CO₂ emissions, while the impact of green innovation and higher education is essential but mostly ignored. This study looked at 60 Belt and Road Initiative (B.R.I.) economies to see how factors, including green innovation, economic complexity index, I.C.T., and higher education, affect carbon emissions in the presence of sustainable development using annual data from 2000-2020. In order to calculate the persistence of the connection between the factors, this research uses the CS-ARDL. The results' robustness and reliability were examined using PMG estimation. The results indicate that the economic complexity index and urbanization positively impact carbon emission (CO₂). Higher education (E.D.U.) has a significant positive impact in the short run and a negative effect in the long run-on carbon emissions. Similarly, information and communication technology (I.C.T.) and green innovation have a negative impact on carbon emission (CO₂). Moreover, the results indicate that the moderate effect of green innovation with economic complexity index, information and communication technology, and higher education has a negative impact on carbon emission. The estimated coefficients also provide significant policy implications for the chosen and the other developing markets in designing an adequate route ahead to a sustainable environment.

Measuring sustainable development of intelligent tourism service system: analysis on the user's intention

The intelligent tourism service system will help strengthen the management of scenic spots, improve tourism efficiency, and help improve the tourism ecological environment. At present, there are few researches on intelligent tourism service system. This paper attempts to sort out the literature and build structural equation model based on UTAUT2 model (UTAUT is short for Unified Theory of Acceptance and Use of Technology) to analyze the factors that affect the users' willingness of use the intelligent tourism service system (ITSS) in scenic spots. The results show that (1) the effects of the factors affecting the users' intention to use the ITSS of tourist attractions are facilitating conditions (FC), social influence (SI), performance expectation (PE), and effort expectation (EE), (2) Both PE and EE can directly affect the user's intention to use ITSS, while EE indirectly affects the user's intention through PE. (3) SI and FC have a direct impact on the UI of ITSS. The simplicity of use on intelligent tourism application system products can significantly affect the user satisfaction index and product loyalty of the users. In addition, the usefulness factor of perception system and the risk factor of user perception system coexist, with the synergistic effect positively affects the ITSS and use behavior of the whole scenic spot. The main results provide theoretical basis and empirical support for the sustainable and efficient development of ITSS.

A critical review of textile industry wastewater: green technologies for the removal of indigo dyes

The denim textile industry represents an important productive sector. It generates wastewater with low biodegradability due to the presence of persistent pollutants, which can produce toxic and carcinogenic compounds; therefore, wastewater treatment reduces risks to aquatic life and public health. This paper presents a review of 172 papers regarding textile industry wastewater treatment for the removal of contaminants, especially indigo dyes used in the denim industry, in the context of green technologies. The physicochemical characteristics of textile wastewater, its environmental and health impacts, and the permissible limit regulations in different countries were reviewed. Biological, physicochemical and advanced oxidation processes for the removal of indigo dyes were reviewed. The goal of this study was to analyze the characteristics of green technologies; however, the research does not clearly demonstrate an effect on energy consumption savings, carbon footprint decreases, and/or waste generation. Advanced oxidation processes showed the highest color removal efficiency (95 and 97% in synthetic or real wastewater, respectively). Photocatalysis and Fenton reactions were the most efficient processes. None of the revised works presented results regarding upscaling for industrial application, and the results should be discussed in terms of the guidelines and maximum permissible limits established by international legislation. New technologies need to be developed and evaluated in a sustainable context with real wastewater.

The symmetric and asymmetric impacts of green energy, eco-innovation, and urbanization in explaining low-carbon economy for Pakistan

Over the past three decades, global economic development patterns have considerably affected the natural environment, and economies have endured a plethora of environmental concerns as a result of the negative effects of climate change. Among them, Pakistan is the fifth most vulnerable country, and climate change has harmfully affected the ecological and socio-economic conditions of the country. In this regard, this study aimed to investigate the role of green energy consumption, eco-innovation, and urbanization while explaining the dream of low-carbon economy and environmental sustainability in the context of Pakistan using annual time series dataset spanning from 1990 to 2020. The short-run and long-run associations among explained and explanatory variables were investigated using the symmetric, asymmetric, and quantile autoregressive distributed lag models. The findings of the study demonstrated that low-carbon economy, green energy consumption, ecological innovation, urbanization, GDP per capita, and labor force are cointegrated for the long-term association in symmetric, asymmetric, and quantile autoregressive distributed lag models. Furthermore, green energy consumption and effective eco-innovation are the most important paths to ensure environmental sustainability, while urbanization, GDP per capita, and labor force contribute negatively to the low-carbon economy. The findings of the study provide a policy framework for the development of a comprehensive strategy to promote environmental sustainability in Pakistan by emphasizing green energy consumption, ecological innovation, and controlled urbanization, as well as the incorporation of environment friendly policies into economic development policies.

Can anti-corruption induce green technology innovation? Evidence from a quasi-natural experiment of China

Green technology innovation shoulders the dual task of green development and innovation leading. It is an inevitable choice for China to achieve the carbon peak and neutrality goal and promote high-quality economic development by effectively stimulating green innovation vitality and improving green innovation capacity. In this context, from the perspective of institutional quality, this study takes the anti-corruption campaign launched since the 18th National Congress of the Chinese Communist Party as a quasi-natural experiment, constructs an intensity difference-in-differences (DID) model, and tests the impact effect and mechanism of the anti-corruption campaign on regional green technology innovation. It is found that the anti-corruption campaign has significantly improved the level of regional green technology innovation. This conclusion still holds after a series of robustness tests such as parallel trend test, placebo test, and instrumental variable estimation. The results of mechanism analysis show that the anti-corruption campaign is helpful to increase foreign direct investment and change the government's fiscal expenditure bias, thus promoting the improvement of green technology innovation level. Heterogeneity analysis shows that the promotion effect of anti-corruption campaign on green technology innovation is more significant in eastern and southern regions. At the same time, the lower the degree of government intervention, the greater the protection of intellectual property rights, and the stronger the environmental governance, the greater the promoting effect of the anti-corruption campaign on green technology innovation. Further research shows that the improvement of the level of green technology innovation is conducive to the realization of the "dual control" goal of total and intensity of carbon emissions. This study proves the positive externality of anti-corruption campaign from the perspective of green technology innovation and provides new empirical evidence for the advantageous theory of anti-corruption.

Impact of energy efficiency, technology innovation, institutional quality, and trade openness on greenhouse gas emissions in ten Asian economies

Despite the fact that Asian economies have experienced robust economic growth in recent decades, rising pollution emissions have raised worries among policymakers about the long-term stability of this output growth. Knowing this fact, the present study attempts to empirically analyze the impact of some important factors, e.g., energy efficiency, technology innovations, trade openness, and institutional quality, on environment in 10 Asian economies over the period 1995-2018. Taking into account the slope heterogeneity and cross-sectional dependence present in the data, Westerlund and Edgerton (2008) and Banerjee and Carrion-i-Silvestre (2017) cointegration techniques and cross-sectionally augmented autoregressive distributed lag model (CS-ARDL) estimation are applied. For robust analysis, augmented mean group (AMG) and common correlated effects mean group (CCEMG) are also employed in the study. The empirical findings provided by selected variables reveal that both trade openness and institutional quality have detrimental impact, whereas energy efficiency and technology innovations have favorable impact on environmental quality in the selected economies. Empirical findings are robust to various policy recommendations. To create a sustainable future environment, Asian economies should focus on the improvement of their institutions quality and increase investments in technology innovations. The Asian countries must encourage trade-related environmental regulations and energy efficiency policies for better and sustainable environmental quality.

Assessment of the role of renewable energy financing and information and communication technology in carbon neutrality: evidence from RCEP economies

Understanding the correlation between the various forms of financing and their propensity to invest in renewable energy (RE) innovation is crucial for its successful financing. We investigate the "path" taken by innovators in the financial sector. The UN Secretary-General announced the Sustainable Energy for All Initiative in 2012 to ensure that all people can access reliable, modern energy services by 2030. Substantial monetary and technological investments at a rate much surpassing historical levels are required to accomplish this goal. This research is aimed at determining if the combination of REF and ICT may help improve environmental quality. Using econometric methods, we examine time series data from RCEP economies from 2000 to 2019. This study describes another determinant of carbon emission: economic growth, tourism, and trade openness. The study employs Cup-FM and Cup-BC tests to check the results of variables in this study. The effect of economic growth, tourism, and trade significantly positively impacts carbon emissions in this model. However, renewable energy finance and ICT adversely impact the carbon emission level. Moreover, the moderate effect of renewable energy finance on information and communication technology, tourism, and trade is found to have a negative impact on carbon emissions. The policy recommendations suggest how a country can minimize carbon emissions.

Advances in technology and utilization of natural resources for achieving carbon neutrality and a sustainable solution to neutral environment

The greatest environmental issue of the twenty-first century is climate change. Human-caused greenhouse gas emissions are increasing the frequency of extreme weather. Carbon dioxide (CO₂) accounts for 80% of human greenhouse gas emissions. However, CO₂ emissions and global temperature have risen steadily from pre-industrial times. Emissions data are crucial for most carbon emission policymaking and goal-setting. Sustainable and carbon-neutral sources must be used to create green energy and fossil-based alternatives to reduce our reliance on fossil fuels. Near-real-time monitoring of carbon emissions is a critical national concern and cutting-edge science. This review article provides an overview of the many carbon accounting systems that are now in use and are based on an annual time frame. The primary emphasis of the study is on the recently created carbon emission and eliminating sources and technology, as well as the current application trends for carbon neutrality. We also propose a framework for the most advanced naturally available carbon neutral accounting sources capable of being implemented on a large scale. Forming relevant data and procedures will help the "carbon neutrality" plan decision-making process. The formation of pertinent data and methodologies will give robust database support to the decision-making process for the "carbon neutrality" plan for the globe. In conclusion, this article offers some opinions, opportunities, challenges and future perspectives related to carbon neutrality and carbon emission monitoring and eliminating resources and technologies.

The asymmetric effect of agriculturalization toward climate neutrality targets

Agricultural activities immensely contribute to greenhouse gas emissions (GHGs). This study investigates the heterogeneous effect of agricultural production (AGRIP) on three major GHGs emissions, i.e., carbon dioxide (CO₂), nitrous oxide (N₂O), and methane (CH₄) under the Environmental Kuznets Curve (EKC) framework using a balanced panel data of 90 countries from the period 1991 to 2019. Second-generation panel unit root and cointegration tests are conducted to account for cross-sectional dependence. The findings suggest that there is a long run equilibrium among target variables. Evidence from panel quantile regression suggests that AGRIP significantly reduced CO₂ emissions, and the effect is stronger in lower quantiles (least carbon emitters). On the other hand, AGRIP increases N₂O and CH₄ emissions in all quantiles. However, AGRIP is homogeneously distributed across N₂O quantiles while the effect is stronger in higher quantiles (high methane emitters) in the case of CH₄ model. Concerning agricultural trade, exports impede CO₂ emissions but increase N₂O and methane emissions. Agricultural imports are positively associated with all GHGs emissions. The effect of agricultural trade is largely heterogeneous and varies across different quantile levels of GHGs emissions. The EKC is fully valid for CO₂ and N₂O but not for the methane emissions model. Based on the results, it is suggested that high GHGs emitter should shift their agricultural activities from traditional to sustainable approaches along with green trade policies to achieve climate neutrality targets.

Investigating the determinants of carbon emissions in the USA: a state-level analysis

The present study investigates the significant determinants of carbon emissions, namely, GDP, energy consumption, energy price, and energy expenditure, utilizing data of 50 American states from 2005 to 2016. Results obtained from application of OLS with fixed effects and panel quantile regression revealed that the effect of GDP on carbon emissions is negative but significant at all quantiles, energy consumption and energy price have a positive and significant effect on carbon emissions, while the effect of energy expenditure is negative but significant at the upper and lower quantiles, implying that high energy expenditures do not reduce carbon dioxide emission at the US state level. Policymakers should introduce further initiatives, so all the states would implement the climate legislations.

Low-carbon innovation, economic growth, and CO2 emissions: evidence from a dynamic spatial panel approach in China

Low-carbon innovation plays an essential role in carbon reduction worldwide. This study investigates the nexus between low-carbon innovation, economic growth, and carbon emissions by the dynamic spatial Durbin model from 2007 to 2020. First, the Moran index results verify the provincial spatial agglomeration of carbon emissions. High-emission provinces concentrate in major economic zones and energy extraction areas. Second, the effect decomposition results show that long-term and short-term effects are consistent. Low-carbon innovation has a significant mitigation effect on carbon emissions in local regions, which effect, however, is not significant in the adjacent areas. The environmental Kuznets curve hypothesis is validated locally, but all provinces and cities have not reached the inflection point of the environmental Kuznets curve, and the linkage effect in adjacent regions remains insignificant. The above results have been tested to be robust. Third, the results of the mechanism analysis show that environmental policies, absorptive capacity, and financial development play a moderating role in the relationship between low-carbon innovation and carbon emissions. Finally, the heterogeneity test showed significant differences between Eastern, Central, and Western. The direct effect of low-carbon innovation exists in Eastern and central regions; the spillover effect of low-carbon innovation is only in the eastern region. In addition, corresponding measures are proposed based on the conclusions.

Renewable energy technology innovation and inclusive low-carbon development from the perspective of spatiotemporal consistency

As an emerging driving factor, the positive impact of renewable energy technology innovation (RETI) on inclusive low-carbon development (ILCD) may be undervalued or even neglected. This paper develops an evaluation system to measure China's ILCD by using provincial panel data from 2006 to 2020. Based on the combined perspective of spatial spillover effect and threshold effect, this paper examines the spatial spillover effects and the regional boundary of RETI on ILCD in different periods and further analyzes five heterogeneities. The results show that (1) RETI and ILCD are increasing steadily, presenting a spatial pattern of "high in the east and low in the west." (2) Overall, RETI significantly promotes ILCD in local and neighboring areas. RETI in the growth period inhibits local ILCD, which in the mature period promotes local and neighboring ILCD. (3) The spatial spillover boundary of the whole RETI is 1400 km, that of RETI in the growth period is 1000 km, and that of RETI in the mature period is 1600 km. (4) The promotion effect of RETI on ILCD enhances over time and shows a spatial pattern of "eastern > central > south > north > western." It is further found that RETI strongly promotes ILCD in non-resource-based, high marketization, and strong environmental regulation areas. Therefore, it is necessary to break down administrative and market barriers, strengthen inter-regional cooperation and interconnection of resource elements, and establish a dynamic management mechanism of "one province, one policy" according to the regional heterogeneity for providing decision-making reference in promoting global energy transition and climate governance.

Low-carbon transformation planning of China's power energy system under the goal of carbon neutrality

China has become the largest energy producer and consumer in the world. Its carbon emissions account for 80% of its total carbon emissions, while the carbon emissions caused by energy consumption in the power industry account for more than 50%. To ensure that the 2030 carbon-peak and 2060 carbon-neutral targets are achieved, it is imperative to carry out low-carbon energy transformation in the power industry. The paper compares and analyzes the technical level of six high-energy-consuming industries: power, steel, cement, aluminum smelting, petrochemical industry, and coal chemical industry in terms of low carbon. The results show that the structural adjustment of China's high-energy-consuming industries has reached the upper limit, and the low-carbon transformation of power and energy has become inevitable. The carbon emissions of China's six regional power grids are statistically analyzed. The background of the power generation proportion of China's thermal power, hydropower, nuclear power, wind power, solar power and other different energy systems from 2018 to 2020 is analyzed, and the development trend is predicted. The low-carbon emission path of power energy is proposed. Based on the EnergyPLAN model, the power energy structure of carbon peaking in different scenarios from 2020 to 2030 is constructed, and the power energy system's carbon dioxide emission reduction paths under different scenarios are obtained. The sustainability impact of different power generation combination scenarios is comprehensively evaluated using the multi-index evaluation method, and the optimal path of the power system to energy scenario is selected. The research conclusion provides a basis for the power sector's renewable energy power generation path selection.

Analyzing the nexus between energy transition, environment and ICT: A step towards COP26 targets

In line with the Sustainable Development Goals and the recent COP26 summit, energy transition, low carbon emissions and technology have become extremely important subjects in the agenda of governments and policymakers. The present study thus discusses the nexus between energy transition, economic growth, CO₂ emissions and information and communications technology (ICT) in BRICS countries applying the novel GMM-PVAR method proposed on the annual data for the period 2000-2017. This method is strong to the issue of endogeneity which is commonly faced in the context of panel data analysis but mostly ignored in the literature. The findings of this research demonstrate that carbon emissions have a positive and significant effect on energy transition; similarly, raising economic growth augments the consumption of energy transition. Furthermore, ICT is found to be a significant choice in the development of energy transition and the solution of environmental challenges. Overall, technological factors in addition to economic and environmental factors also have great roles in the development of renewable energy and energy transition. Thus, results from this study call for government supports to develop ICT across the BRICS countries.

Energy mix with technological innovation to abate carbon emission: fresh evidence from Mexico applying wavelet tools and spectral causality

The global warming issue arises from climate change, which draws scientists' attention toward cleaner energy sources. Among clean sources, renewables and nuclear energy are getting immense attention among policymakers. However, the significance of nuclear energy in reducing CO₂ emissions has remained ambiguous, necessitating further research. Therefore, the present study draws impetuous attention to the United Nations Sustainable Development Goals-7 (affordable clean energy) & 13 (climate change mitigation) by looking at the relationship between energy mix (fossil fuels, renewables, and nuclear), economic growth, technological innovation, and CO₂ emissions in Mexico from 1980 to 2019 using the autoregressive distributed lag (ARDL) model. In addition, to assess the direction of causality, this study applied wavelet techniques and spectral causality. The findings affirm that renewable and nuclear energy use and technological innovation tend to curb CO₂ emissions, whereas fossil fuel consumption and economic expansion trigger CO₂ emissions. The study lends support to the environmental Kuznets curve (EKC) phenomenon in Mexico. The FMOLS and DOLS tests show that our long-run estimates are reliable. In different time scales, the wavelet coherence result is also consistent. Finally, the results of the spectral causality approach demonstrate a significant causal association between the variables tested at various frequencies. As a result, in order to achieve SDGs 7 and 13 and support an environmentally friendly ecosystem, Mexico's energy mix must be changed to renewables and nuclear.

Heterogeneous impact of eco-innovation on premature deaths resulting from indoor and outdoor air pollution: empirical evidence from EU29 countries

Environmental innovations play a vital role in reducing air pollution and the number of pollution-related mortality. Most of the previous studies have examined the role of eco-innovations in environmental quality. However, to our knowledge, no study has evaluated the effects of eco-innovation on air pollution as a cause of mortality. For this purpose, this research examines the effect of eco-innovations on premature deaths from indoor and outdoor air pollution in twenty-nine European countries from 1995 to 2019. The Method of Moments Quantile Regression (MM-QR) is used to assess the impacts. The results confirm the heterogeneous effects of the main variables in both models. Both models indicate that eco-innovations reduce premature deaths from outdoor and indoor air pollution, and these effects are more significant in high quantities (75th and 90th). Also, the effect of eco-innovations on reducing mortality due to indoor pollution is more significant than that related to outdoor pollution. Eco-innovation, economic growth, renewable energy consumption, and urbanization reduce premature mortality indoors and outdoors, but CO₂ emissions increase this mortality. The results of the Dumitrescu-Hurlin causality test also support that all variables, including eco-innovation and CO₂ emissions, have a bidirectional causal relationship with indoor (LIND) and outdoor (LOUT) mortality due to air pollution. Governments and politicians can help mitigate this problem by providing more environmental innovations by increasing support packages and reducing taxes.

The impact of environmental information disclosure quality on green innovation of high-polluting enterprises

With the gradual increase of social awareness of environmental protection, environmental information disclosure has become the key for enterprises to accept social supervision and fulfill their social responsibility. This study examines the high-polluting enterprises that were listed on Chinese A-shares between 2008 and 2021. The influence of environmental information disclosure quality on green innovation is examined using ordinary least squares (OLS) as a benchmark model. The results show that the improvement of environmental information disclosure quality of high-polluting enterprises can significantly improve the quantity and quality of green innovation of enterprises and are mediated by alleviating financing constraints and enhancing cash reserves. Moreover, improving the quality of environmental information disclosure of highly polluting enterprises has a more significant contribution to the quantity and quality of green patents of non-state-owned enterprises, enterprises located in central and eastern China, and large enterprises. The findings of this paper provide theoretical support for achieving a "win-win" situation of environmental protection and green innovation.

Financial Development and Environmental Degradation: Promoting Low-Carbon Competitiveness in E7 Economies' Industries

Emerging countries are approaching economic prosperity. However, the development process has enhanced their ecological footprints, thus promoting low-carbon competitiveness among E7 countries' industries. Therefore, it is essential to identify the factors that affect a country's ecological footprint (EF) in order to safeguard the environment. This study explored the effect of financial development, human capital, and institutional quality on the EF of emerging countries. Furthermore, we explored the effect of financial development on the EF of emerging countries through the human capital channel. In addition, we investigated the role of institutional quality in the financial development-EF nexus. Using panel data from 1990 to 2018, we employed the cross-sectional autoregressive distributed lag (CS-ARDL) technique to conduct a short-term and long-term empirical analysis. The empirical outcomes revealed that financial development degrades ecological quality by raising the EF. The findings further demonstrated that human capital and institutional quality reduce the EF. Moreover, financial development fosters environmental sustainability through the channel of human capital. Additionally, institutional quality reduces the negative ecological impacts of financial development. The causality analysis suggested that any policy related to financial development, human capital, and institutional quality will affect the EF. However, the inverse conclusion was not sustained. Based on these findings, emerging economies should increase their environmental sustainability by promoting human capital and effectively using financial resources.

Post-COP26: can energy consumption, resource dependence, and trade openness promote carbon neutrality? Homogeneous and heterogeneous analyses for G20 countries

The need to halt the pervasive issue of global warming has triggered commitments from policymakers, international organizations, and research pundits with an ambitious goal of neutralizing carbon emissions, forming the core of COP26 in November 2021. Consequently, the carbon neutrality agenda is globally debated in the environment and economic growth literature. Given the preceding narratives, this study examines the tripartite effects of energy consumption, resource dependence, and trade openness on carbon neutrality in G20 economies from 2001 to 2019. The empirical evidence relies on homogenous and heterogeneous dynamic models based on a system generalized method of moments (GMM), fully modified ordinary least squares (FM-OLS), and quantile regression estimators. The following results are evident from the empirical analyses. Among the heterogeneous indicators, nonrenewable energy, oil rents, coal rents, and imports contribute to the surge in carbon emissions, while renewable energy, gas rents, and exports moderate carbon emissions. The homogenous impacts show that total energy consumption, total natural resource rents, and trade openness promote significant carbon emissions. Further, the long-run results from FM-OLS and the disintegrated mean effects from quantile regression are robust for the main short-run results based on the two-step system GMM. Based on the empirical fallout, investing in renewable energy and diversifying from natural resource exploration are among the emanating policy that can enhance the sustainability of the G20 environment.

Green credit, environmentally induced R&D and low carbon transition: Evidence from China

This paper explores the impact of green credit (Cre) on low-carbon transition (Lct) and its influence mechanisms. Theoretically, Cre promotes environmentally induced R&D (ER&D), which in turn affects Lct. Empirically, using a panel data of 30 Chinese provinces and cities from 2004 to 2019, we measure the provincial ER&D and carbon emission performance (Cep), based on which we conduct an econometric analysis. It is observed that Cre promotes Lct (that is, Cre reduces carbon emission and improves Cep). This conclusion still holds after a series of robustness tests and endogeneity treatments. And the impact of Cre on Lct is asymmetrical due to regional differences in physical and geoclimatic characteristics, income levels, and financing constraint levels. Second, ER&D is an important mechanism of action for Cre enhancing Lct. Further analysis reveals that ER&D can affect Lct through energy transition effects and green innovation effects. Finally, the positive effect of Cre on ER&D is significant in high level of Lct regions, but insignificant in low level of Lct regions. Based on this, specific policy recommendations from the perspective of developing Cre and establishing an incentive mechanism for ER&D are put forward.

Empirical analysis of the feasible solution to mitigate the CO2 emission: evidence from Next-11 countries

From the empirical findings, economic growth, energy consumption, fossil fuel use, and infrastructure all have a positive impact on CO₂ emissions. Forest rent and industrialization show a mix of results to explain CO₂ emissions in N-11 countries. Forest and agriculture have negative coefficients in most of the estimations which indicate the reduction of CO₂ emissions in 11 countries. Through the evidence of variance decomposition (VD) analysis, this study found an inverted U-shaped EKC hypothesis in the long run. Moreover, through the econometric analysis, it is clear that forest area is important to reduce CO₂ emissions in N-11 countries, where forest investment and planning would be effective for carbon reduction. Agricultural activities and production with green investment play an important role in mitigating CO₂ emissions in N-11 countries.

Carbon Neutrality in the Middle East and North Africa: The Roles of Renewable Energy, Economic Growth, and Government Effectiveness

Carbon neutrality is a 21st-century priority area, with the Middle East and North Africa (MENA) countries making significant investments in renewable energy and climate mitigation initiatives to attain it. However, carbon neutrality research in the MENA region is under-developed, particularly when considering the roles of renewable energy, economic growth, and effectiveness of government. To address this gap, this research investigates the roles of renewable energy, economic growth, and government effectiveness toward the MENA region's carbon neutrality goal. We implemented heterogeneous and second-generation panel data techniques that are resilient to cross-sectional dependency and slope heterogeneity to panel data spanning 16 MENA countries from 1996 to 2018. We discovered that MENA data are cross-sectionally dependent, heterogeneous, and cointegrated. We found that government effectiveness and renewable energy bring carbon neutrality closer, but economic growth initially delays it. We detected Environmental Kuznets Curve (EKC) in the MENA region, specifically in the High-Income Countries. Although there were signs of EKC in the Middle-Income Countries, this was not significantly validated. Finally, we found a one-way causal link from government effectiveness and renewable energy to carbon neutrality but a feedback mechanism between economic growth and carbon neutrality in the MENA region. As a result of these findings, it is recommended that the MENA region's policymakers prioritize renewable energies and improve the effectiveness of government to drive economic growth toward the carbon neutrality goal.