The effect of ICT on energy consumption and economic growth in South Asian economies: An empirical analysis

The effect of the digital economy on carbon emissions in China's construction industry: evidence from spatial econometric analysis

Carbon emission reduction in the construction industry is vital for realizing sustainable development, and the development of the digital economy plays an important role in this process. The impact of the digital economy on reducing carbon emissions in the construction industry is empirically explored through econometric analyses on a sample of panel data from 30 provinces in China from 2012 to 2021. The empirical results show that developing a digital economy can significantly reduce the construction industry's carbon emission intensity. Additionally, this impact has a significant spatial spillover effect and can benefit the neighboring regions. The mechanism test shows that the digital economy can reduce carbon emissions by improving the technological level of the construction industry. Moreover, the inhibiting effects of the digital economy on carbon emissions in the construction industry vary across different regions. They are more pronounced in the eastern and western regions of low coal-consuming regions. These findings offer valuable insights for policymakers to help drive the deeper integration of the digital economy with the construction industry and facilitate its transition to low-carbon development.

Assessing the influence of the digital economy on carbon emissions: Evidence at the global level

This paper discusses the influence of the digital economy (DE) on carbon emissions based on evidence at the global level. Specifically, based on the panel data from 80 countries from 2010 to 2020, this paper creates a DE measurement index and uses the System-GMM model to assess the influence of DE on carbon emissions. The results show that: (1) The development of DE significantly promotes carbon emissions reduction. (2) The development of DE significantly promotes carbon emissions reduction through technological advancement, structural optimization, and educational enhancement; (3) Regulatory quality and financial development play a positively moderating role in DE's promoting effect on carbon emissions reduction; (4) DE of European and North American nations have stronger promoting effect on carbon emissions reduction than DE of other countries. Compared to DE of developing countries, DE of developed countries has a stronger promoting effect on carbon emissions reduction. Additionally, this paper also finds that institutional differences can impact the carbon emission reduction effects of DE. Based on the results, this paper suggests that governments globally should promote the development of DE and foster international cooperation to enhance DE's driving role in promoting carbon emissions reduction.

Digital economy, resource distortion and low-carbon inclusive development-Evidence from the perspectives of a threshold effect and knowledge spillover effect

The low-carbon economy represents a global transformation that encompasses production methods, lifestyles, values, national interests, and the destiny of humanity. As a significant contributor to carbon emissions, China has made a momentous strategic decision on carbon peaking and neutralization, infusing momentum into the global effort to address climate change. The rapid growth of the digital economy offers a fresh approach to achieving the "double carbon" objective and advancing the development of low-carbon transformation. Based on the panel data of 30 provinces in China, this paper uses the least square method to investigate the impact of digital economy development on regional low-carbon inclusive development. It is found that there is a significant inverted U shape in the impact of the digital economy on low-carbon inclusive development and the mechanism is resource allocation and ecological inequality. The threshold test found that the role of the digital economy in promoting low-carbon inclusive development shows a marginal decreasing trend. The inverted U-shaped impact of the digital economy on low-carbon inclusive development in the eastern and coastal areas and areas with a low level of factor productivity is more significant. Based on the knowledge factor spillover perspective, we found that the impact of the digital economy on low-carbon inclusive development has a spatial spillover effect, and this effect is more obvious under the role of R&D personnel mobility.

The Transformative Role of Information and Communication Technologies in Shaping Gender Norms and Empowering Women: Evidence From Pakistan and Nepal

This study explores how information and communication technologies (ICTs) influence transforming attitudes toward intimate partner violence (IPV) and women's empowerment in Pakistan and Nepal. By analyzing data from married women using recent Demographic and Health Surveys, the research reveals that owning multiple ICTs is associated with decreased experiences of physical IPV and reduced acceptance of wife-beating. Notably, increased ownership of ICTs corresponds to heightened participation in household decisions. Furthermore, regular internet use further diminishes the likelihood of experiencing physical IPV and justifying wife-beating. These findings underscore ICTs' potential to empower women, reshape gender norms, and enhance decision-making autonomy. The study advocates for gender-inclusive policy interventions that leverage the transformative influence of ICTs in fostering positive sociocultural changes.

Can digital economy compensate the effect of aging on total factor productivity?

In China, the number of senior citizens has grown, along with the burden of old age, and aging has hampered economic growth. The advent of the digital age has led to the emergence of the digital economy as a new engine for economic growth. This paper uses DEA-Malmquist index model to measure the total factor productivity growth rate of 31 provinces in China from 2011 to 2021, and uses the moderating effects model to empirically investigate the relationship between the digital economy, aging and total factor productivity, and to verify whether the development of the digital economy can mitigate the negative impact of aging on total factor productivity. The results show that aging inhibits total factor productivity growth, and the digital economy can promote total factor productivity growth. Digital economy can alleviate the negative impact of aging on total factor productivity growth, and has a moderating effect. Digital economy plays a moderating role by improving the level of human capital and facilitating technological progress. The regional heterogeneity analysis shows that the moderating effect of the digital economy exists in the eastern and western regions and the southern region, but not in the central region and the northern region. Furthermore, the digital economy has a moderating effect on both the high and low aging groups. The research in this paper not only helps to evaluate the productivity effects of the digital economy, but also has important implications for finding ways to mitigate the negative effects of aging.

How does trade policy uncertainty affect green innovation in the USA and China? A nonlinear perspective

Green innovations are the most critical factor in promoting environmental sustainability worldwide. Trade can speed up the adoption of green innovations by facilitating the transfer of information, skills, and technology. However, trade policy uncertainty can create significant challenges for businesses investing in eco-innovations, leading to increased risk, reduced investment, and slower progress toward sustainable technologies. Recently, a growing number of researchers have shown their interest in finding the factors that can impact green innovations, but none have investigated the influence of trade policy uncertainty on green innovations in the USA and China. In addition, none of the past studies has relied on the nonlinear assumption. This analysis fills these gaps by examining the nonlinear impacts of trade policy uncertainty on eco-innovations in China and the USA over 2000Q1-2021Q4 by employing a nonlinear ARDL model. The finding reveals that a positive shock in trade policy uncertainty results in a decrease in green innovation in the USA and China, while a negative shock in trade policy uncertainty leads to an increase in green innovation in the USA over the long run. The nonlinear models also indicate that a positive shock in trade policy uncertainty harms green innovation in both the USA and China in the short run. The robustness of these results is confirmed by the NQARDL model, which confirms that an upsurge in trade policy uncertainty lowers green innovation in most quantiles in the USA and China in the short and long run. Conversely, negative shocks in trade policy uncertainty stimulate green innovation at most quantiles in both China and the USA, in the short and long run. Thus, policymakers need to consider the potential impact of trade policies on eco-innovations and work to create stable and predictable trade environments that support the growth of renewable technologies and other sustainable solutions.

Green growth path dependence momentum under the prism of COP26: the role of financial deepening, ICT development, and export diversification

Financial deepening is important in resource allocation for more productive enterprises, leading to sustainable green growth. Moreover, rapid development in the digital economy and export diversification significantly affect green growth. From this perspective, our study explores the impact of financial deepening, ICT development, and export diversification on green growth in China's economies from 1996 to 2021. The study explores the linkage between financial deepening, ICT development, export diversification, and green growth by employing the nonlinear autoregressive distributed lag (NARDL) approach. The results obtained in the long run are as follows: positive shock in financial deepening brings positive change in green growth, whereas negative shock in financial deepening reduces green growth. In the long run, positive shock in ICT enhances green growth, but negative shock in ICT does not impact green growth. Moreover, positive shock in export diversification brings positive change in green growth, whereas negative shock in export diversification reports an insignificant impact on green growth. Based on findings, it is suggested that financial deepening, ICT development, and export diversification are conducive to sustainable green growth.

Impacts of workplace automation on energy poverty: The new challenge of achieving SDG 7 in the context of technological revolution

This paper systematically examines how workplace automation impacts energy poverty from a demand-side perspective, revealing a new challenge for Sustainable Development Goal 7 (SDG 7) in the context of technological revolution. Our research demonstrates that workplace automation significantly increases household energy poverty. This finding is robust when using the instrumental variable approach to tackle endogeneity, as well as employing different automation and energy poverty measures, placebo tests, and machine learning methods for robustness checks. Automation's impact mechanism is that it reduces people's income and work-related social capital, thus exposing households to higher risks of energy poverty. Moreover, its consequences are more prominent for rural households, less educated people, non-migrants, those without labor contracts, non trade-union members, and out-of-system workers. Thus enhancing human capital, promoting free movement of workers, and providing better labor protection contribute to weakening the adverse impact of the technological shock. Meanwhile, we find that improving the price reasonability, stability, security and accessibility of energy supply can also mitigate the negative effects of workplace automation on household energy consumption. In the dual context of the fourth technological revolution promoting industrial automation as well as the increasing urgency to achieve SDG 7, findings of this paper have important policy implications.

Effects of digitalization on energy security risk: do financial development and environmental trade matter?

Trade in environmental goods and financial development may harness factors such as green investment, technological development, and renewable energy production, which are crucial in reducing energy security risks by diversifying energy sources. However, not many empirics have shed light on the impact of digitalization, environmental trade, and financial development on energy security risks in top energy-consuming countries. To fill this vacuum, this study intends to investigate the influence of digitalization, environmental trade, and financial development on energy security risk in top energy-consuming countries from 2003 to 2021. The study employs the 2SLS and GMM estimates for empirical estimation of top energy-consuming developed and developing economies. The results show that ICT negatively affects energy security risks in developed economies. The findings of the analysis also suggest that environmental trade and financial development cause energy security risks to be reduced in both developed and developing economies. Likewise, the energy security risks in both developed and developing nations are mitigated by ICT, GDP, carbon emissions, and renewable energy production. In contrast, the energy security risks are escalated by the rise in natural resource rents. In order to fully capitalize on the potential advantages of these elements and eventually ensure a more sustainable and secure energy future, governments, businesses, and financial institutions must work together.

Digital inclusion to enhance energy sustainability: public participation and environmental governance in the new media era to achieve energy sustainable goals

Renewable energy not only helps to safeguard the environment and slow down climate change but also supports economic growth and energy security. The significance of renewable energy sources is expanding as more people throughout the globe understand how important it is to switch to clean energy sources. Therefore, empirics are in search of the factors that can promote renewable energy production. This analysis investigates some of the novel determinants of renewable energy production, such as digital inclusion, public participation, and environmental governance, which have not been examined previously in any study. For empirical analysis, the study employs the ARDL and QARDL estimation techniques using Chinese data from 1998Q1 to 2021Q4. The analysis findings confirm that digital financial inclusion, ICT, and GDP are vital in boosting both short and long-run renewable production. Green investment, environmental governance, and carbon emissions also significantly and favourably impact long-run renewable energy production. In the Quantile ARDL model, digital financial inclusion is positively linked to renewable energy production at most of its quantiles in the short and long run, while the ICT, GDP, environmental governance, and carbon emissions are positively linked to renewable energy in most quantiles in the long-run only. The Wald test confirms the asymmetric impact for all variables in the long run, which implies that policymakers should consider the positive and negative changes in these factors while devising policies for enhancing renewable energy production.

Nonlinear impact of digital economy on carbon intensity: the moderating role of low-carbon regulation

The development of the digital economy is an effective way to mitigate the carbon emission problem in the broader setting of the significant data era and green development. Based on the panel data of 271 cities in China from 2011 to 2019, this paper constructs a bidirectional fixed model to analyze the nonlinear effect of the digital economy (DE) on carbon intensity (CI) and the moderating role of low-carbon regulation from theoretical and empirical perspectives. The results show that (1) DE has an enormous inverted U-shaped impact on CI. The findings remain after introducing instrumental variables to mitigate endogeneity and robustness tests. (2) Low-carbon regulation (CP) can strengthen the inverted U-shaped impact between the two and shift the inflection point to the left. (3) Heterogeneity analysis shows that the inverted U-shaped effect of DE on CI is more significant in the central and western regions, high human capital (HC) regions, and high urbanization regions. (4) The mediating effect of energy mix (EM) and green technology innovation (GTI) still hold after introducing instrumental variables to alleviate the endogenous effect of the intermediary effect. This study suggests that the adoption of carbon emission reduction strategies, which will more effectively lower carbon intensity CI, should go hand in hand with the development of DE.

Green growth strategies in Asia: unleashing the heterogeneous asymmetry of ICT capital, financial fragility, environmental policy stringency, and education

Financial fragility, ICT capital, environmental policy stringency, and education are the main factors that have also gained popularity regarding their impact on green growth. This study examines the impact of financial fragility, ICT capital, environmental policy stringency, and education on green growth. For analyzing the short- and long-run estimates, we have applied the panel QARDL model. The results of the panel QARDL model highlight that the estimates of non-performing bank loans and bank costs are negatively significant in both the short and long run, implying that financial fragility hurts green growth in the short and long run. Similarly, the estimated coefficients of the internet (mobile) and education estimates are positively significant in the short and long run, confirming that ICT capital and education are causing green growth, while environmental policy stringency promotes green growth only in the long run. Regarding the asymmetric effects of all the factors on green growth, the Wald test only confirms asymmetric effects in the long run. The study offers several significant recommendations for sustainable green development policies.

Can digitalization and low-carbonization progress in harmony? Evidence from Chinese cities

Achieving high-quality development of the city requires actively promoting coordinated digitalization and low-carbon development. Previous studies have focused on the unidirectional impact of urban digitalization on low-carbonization and there is a lack of research on their interactions. This study uses the generalized spatial three-stage least squares method and the spatial simultaneous equation to investigate the endogenous interactions between urban digitalization and low-carbonization. The properties of the spatiotemporal evolution are then examined using linked coordination degree models, kernel density, and spatial statistical approaches. Finally, using the spatial panel metering model, this study empirically investigates the motivations behind the synergistic advancement of digitalization and low-carbonization. The results show that: (1) There is an endogenous interaction between urban digitalization and low-carbonization and that this interaction pattern is closely linked to geographical proximity. (2) In general, both urban digitalization and low-carbonization have a positive spatial impact and a negative spatial interaction, and their coordination levels have a significant spatial impact. (3) Throughout the research period, the coordination degree of urban digitalization and low carbonization continued to increase, showing a positive spatial correlation and a balanced development trend. (4) Economic development, industrial structure, and human capital accumulation are vital internal drivers of the synergistic advancement of urban digitalization and low carbonization. Government capacities and technological innovations are key external factors that contribute to the synergistic advancement of urban digitalization and low-carbonization. Overall, the paper is essential not only to deepen understanding of the relationship between urban digitalization and low-carbonization but also to formulate policies for their coordinated development.

The determinants of carbon emissions in Belt and Road Initiative countries: analyzing the interactive role of information and communication technologies

Belt and Road Initiative (BRI) countries have benefited greatly from the intelligent growth of the green economy made possible by the widespread adoption of internet and mobile phone technologies. In addition, renewable energy consumption endorses sustainable development. Therefore, the purpose of this research is to determine if the use of information and communication technology (ICT) and renewable energy consumption has an effect on sustainable development in BRI countries, while using the augmented mean group (AMG) model, AMG robustness test, and panel Dumitrescu-Hurlin causality test to get robust results. According to the results of the study, the information and communication technology, renewable consumption, human capital, and urbanization reduces the emission of carbon dioxide emission in BRI countries while economic growth enhances the CO2 emission. Therefore, it is recommended that BRI countries increase their inter-regional cooperation in order to boost investment in renewable energy, effectively use the spillover effect of technology and knowledge, and end the resource curse in environmental policy. Based on the results, the authors of this paper propose a number of important steps toward environmental sustainability.

Diffusion of environmental technology innovation through the lens of banking sector performance and human resource management: an influential step towards environmental sustainability

Environmental technology innovations are widely recognized as the most suitable option to achieve sustainable and green development. Since banks and other financial institutions offer essential funding for investments in environmental technology projects, the banking sector and human resources are essential to developing and promoting environmental technology innovation. This study aims to investigate the impact of banking sector performance and human resources on environmental technology innovation in China, utilizing the ARDL method. The research focuses on the period spanning from 1996 to 2021. The outcomes of the ARDL model approve that short- and long-term banking sector performances positively impact environmental technology innovation in China. Among the four proxies for the banking sector's performance, market capitalization, bank deposits, and bank Z-score are substantially and favorably associated with long-term environmental technology innovation in China. However, only the banking sector's performance fosters environmental technology innovation in the short term; all other measures of banking sector performance are insignificant. Human resource positively impacts green innovation in China in the long run. Furthermore, China's long-term GDP growth and environmental pressures support environmental technology innovation. Therefore, policymakers should provide specific incentives to encourage human resource management and financial institutions that lead to the advancement of environmental technology innovation.

Variation of digital economy's effect on carbon emissions: improving energy efficiency and structure for energy conservation and emission reduction

The significance of accurately assessing the influence of digital economy growth upon reducing emission of carbon in the context of worldwide climate governance cannot be overstated. This is crucial in encouraging low-carbon economic advancement at national level, achieving carbon peak and neutrality as soon as possible, and creating a shared future for humanity. A mediating effect model is established using cross-country panel data from 100 countries, ranging from 1990 to 2019, to assess the influence of digital economy development upon emission of carbon and to explore its underlying mechanism. The study found that: the growth of national emission of carbon can be considerably suppressed by digital economy development, and the reduction of emissions is positively associated to each country's level of economic advancement. Digital economy growth influences regional emission of carbon via intermediary channels like energy structure and efficiency, with energy intensity having a particularly noticeable intermediary impact. The inhibitory influence of digital economy development upon emission of carbon differs among countries with different levels of income, and improvements in energy structure and efficiency can precede to energy savings and emission reduction in both middle- and high-income countries. The above findings offer policy guidance for harmoniously advancing the growth of digital economy and climate management, hastening the low-carbon transformation of national economies, and implementing China's carbon peaking initiative.

Nonlinear and spatial spillover effects of the digital economy on green total factor energy efficiency: evidence from 281 cities in China

Although the digital economy has become a new driving force for development worldwide, it is still unclear how digital economy development affects green total factor energy efficiency (GTFEE). Using panel data from 281 prefecture-level cities in China from 2003 to 2018, this study empirically analyzes the effect of digital economy development on GTFEE by adopting a dynamic panel model, a mediation effect model, a dynamic threshold panel model, and a spatial Durbin model. The empirical results show that digital economy development has a significantly negative direct effect on GTFEE. The digital economy can impact GTFEE by the mechanisms of electrification, hollowing out of industrial scale, and hollowing out of industrial efficiency. Neither innovation nor environmental regulations significantly change this negative impact. The dynamic threshold panel model shows a nonlinear relationship between digital economy development and GTFEE, which indicates that the effect of digital economy development on GTFEE significantly inverts from negative to positive as the digital economy develops. In addition, GTFEE has a significantly positive spatial correlation, and the digital economy has a positive spatial spillover effect on GTFEE.

Examining the role of tourism industry in green economic and environmental performance: does structural change matter in Asia?

Tourism has become an increasingly significant contributor to economic growth in Asia. However, the rapid expansion of the tourism industry has also raised concerns about its impact on the environment and economic sustainability. Meanwhile, the structural transformation of economies in Asia has also been a major factor in shaping the region's environmental and economic performance. Thus, the present study aims to explore the impact of the tourism industry and structural change on green economic and environmental performance in Asia. Limited empirical evidence exists on the impact of tourism industry and structural change on CO₂ emissions and green growth. The objective of this current study is to examine how tourism industry and structural change impact green economic and environmental performance over the period 1993 to 2020. For analyzing short- and long-run results across different quantiles, we have employed a nonlinear QARDL model that can provide estimates across different quantiles. The findings of the CO₂ emissions model imply that long-term improvements in tourism and structural changes significantly reduce CO₂ emissions. In contrast, the long-term negative changes in tourism and structural changes increase CO₂ emissions. In the green growth model, long-term improvements in tourism and structural changes significantly improve green growth; however, the long-term decline in tourism and structural changes significantly reduce green growth. Moreover, the control variable of ICT reduces CO₂ emissions and improves green growth, and energy consumption increases CO₂ emissions and reduces green growth.

Assessing the digital economy and its effect on carbon performance: the case of China

With China's carbon neutrality target and the rapid growth of the digital economy, it is critical to understand how the digital economy can decouple economic growth from carbon emissions. This paper innovatively calculates the digital economy index in China from 2004 to 2019 and explores how the digital economy affects total factor carbon productivity (TFCP) and its spatial spillover effect. The empirical results indicate that (1) the development level of digital economy in eastern provinces is significantly higher than that in other provinces. (2) The digital economy positively promotes TFCP. Interestingly, digital industrialization has a more substantial effect on improving TFCP, while industry digitization has a weaker effect. (3) The digital economy not only helps improve the local TFCP but also has spatial spillovers to the surrounding areas and has the most prominent effect on the TFCP of the northern. (4) The digital economy affects TFCP through four channels industrial digital upgrading, human capital, market integration, and resource allocation. (5) The effects of the digital economy on TFCP exhibit significant heterogeneity in terms of time, region, and pollution degree. The findings of this study have important policy implications for promoting the transition to the digital economy and low-carbon development.

An empirical assessment of the tripartite nexus between environmental pollution, economic growth, and agricultural production in Sub-Saharan African countries

A lot of attention has been paid to environmental pollution worldwide, due to the increase in anthropogenic activities. Massive investment in non-renewable energy options raises questions regarding environmental sustainability and how to maximize food and non-food output while still preserving a healthy ecosystem. To this end, the present study explores the three-way nexus between economic growth, CO₂ emission, and agriculture-value added will accounting for other control variables across a balanced panel of selected African economies from 1997 to 2020. Panel econometrics method of the generalized method of moments (two-step difference GMM) is used to obtain a robust result. From the present study, the environmental pollution model shows that economic growth significantly contributes to environmental pollution in Africa. Additionally, the food price index, capital, and FDI promote pollution, while agricultural production and labor decrease pollution. In the case of the economic growth model, the findings reveal that environmental pollution supports the growth-led pollution hypothesis. Also, the food price index and capital ameliorate economic growth, while foreign direct investments decrease economic growth. Finally, the agricultural production model indicates that economic growth increases agricultural production when the interaction term between GDPC and FDI is included in the model. In summary, the combination of explanatory variables, environmental pollution, capital, and foreign direct investment decreases agricultural production. On the contrary, the food price index and labor promote agricultural production in Africa. Furthermore, the study provides a lot of policies for authorities and stakeholders in Sub-Saharan African countries and other developing economies.

Assessing the effect of the improvement of environmental damage compensation legal system and green finance project on the re-establishment of the ecological environment

What are the relationships among environmental regulations, green finance, and environmental damages in countries? Existing literature supports the impact of green finance or green innovation on environmental quality, but rare studies query the cointegration among other core variables. We thus utilize the yearly data of 25 Chinese provinces from 2003 to 2021 to empirically examine the relationships among access to clean energy and technology, environmental regulation, renewable green investment, subsidy on green energy, and green finance index in environmental damage compensation via an augmented mean group (AMG) and other estimators. However, the current empirical research also investigates the individual linkage of green finance components with explained variables. Overall, this study confirms the existence of cointegration relationships among these variables. Moreover, the results of AMG suggest that access to clean fuels and technology, environmental regulations, and green finance can inversely affect the explained variable in the long term. Furthermore, environmental regulations and renewable green investment positively affect environmental damages, while a separate proxy of green finance also negatively affects explained variables in the selected provinces with better environmental performance. Our empirical findings offer important policy implications for overall emerging economies to promote subsidies, environmental regulations, and green finance to improve environmental damages compensation.

Ecological performance assessment of ecologically fragile areas: a perspective of spatiotemporal analysis

Sustainable development in ecologically fragile areas (EFAs) has faced significant challenges in recent years, but the traditional analytical approaches fail to provide an ideal assessment for ecological performance due to spatiotemporal variability in EFAs. This paper evaluates the ecological performance of EFAs based on a modified ecological footprint model, and ecological footprint intensity (EFI) is considered an essential indicator to measure ecological performance, especially for EFAs. Empirically, taking the Π-shaped Curve Area in the Yellow River basin of China as the study area, the spatiotemporal heterogeneity of EFI of 17 cities in the area is analyzed. Then, the extended STIRPAT and geographically and temporally weighted regression (GTWR) models are employed to explore the spatiotemporal heterogeneity of the factors driving EFI. The results show that from 2006 to 2019, the overall level of EFI in the area has decreased; EFI of the area offers a significant spatial agglomeration effect; results of the GTWR model suggest that factors driving EFI have spatiotemporal heterogeneity; the impact of population size, openness, marketization, technology, industrial structure rationalization, and information communication level on EFI was two-sided, while that of affluence, government scale, environmental regulation, and industrial structure advancement show inhibitory impact with the intensity of inhibition varying across periods and cities.

Modelling natural gas, renewables-sourced electricity, and ICT trade on economic growth and environment: evidence from top natural gas producers in Africa

Addressing extensive global goals including growing energy-sourced electricity and advancing sustainable development plans strongly depends on natural gas as a transition fuel to renewable forms of energy. Therefore, by using pooled, random, and fixed-effects models, the current study investigates the effects of electricity sourced from natural gas (ENG), renewable energy (RE), and trade in information and communication technologies (ICTs) on economic growth and carbon dioxide (CO₂) emissions in Africa's top three natural gas producers, Algeria, Egypt, and Nigeria, from 1990 to 2020. The findings indicate that CO₂, ENG, ICT trade, and urbanization (UP) are all strongly and positively correlated to economic progress, with the exception of RE, which has an insignificant influence. For the environment, data indicate that RE and GDP degrade the environment while ENG and ICT trade boost it. The causality results that ENG and RE cause both economic growth and CO₂ emissions. Based on these empirical results, it is recommended that policymakers should step up their efforts to usage natural gas as a transition fuel to renewable energy sources and acknowledge the advantages of the significant contribution that green ICT trade can make to economic advancement and a clean environment.

Evaluating the impacts of digitalization, financial efficiency, and education on renewable energy consumption: new evidence from China

Policymakers around the globe have used various options for controlling CO2 emissions, among which increasing renewable energy consumption has proved to be the most viable. Consequently, this research attempts to look into the effects of financial efficiency, education, and digitization on renewable energy consumption in China from 1994 to 2020. To estimate the short- and long-run relationship between the variables, we have utilized the QARDL approach. The results suggest that the ICT, financial institutions and market development, education, GDP, and CO2 emissions all help improve renewable energy consumption in China in the long run. In the short run, the ICT, financial institutions and markets, education, GDP, and CO2 emissions all proved to be beneficial in increasing renewable energy consumption. In order to test whether our independent variables have a symmetric or asymmetric impact on renewable energy consumption, the Wald test is applied, which confirms the long-run nonlinear impact of ICT, financial institutions and markets, education, GDP, and CO2 emissions on renewable energy consumption, while the short-run asymmetric impacts are confirmed for a financial institution and GDP only. Therefore, governments should reinforce the amalgamation of digitalization, financial efficiency, and education while formulating policies for renewable energy consumption.

Does economic fitness matter in carbon emissions mitigation in BRICS countries?

The economic fitness of a country shows its capacity to address complex issues, such as climate change and environmental degradation, which are urgent global concerns. Its key function is given less importance in empirical research and has been neglected by existing empirical studies. Concerning this neglect, our study investigates the influence of economic fitness on CO₂ emissions in the context of the environmental Kuznets curve (EKC) for the BRICS nations between 1995 and 2015. The Feasible Generalized Least Squares (FGLS) and Panel-Corrected Standard Error (PCSE) techniques are used to estimate the empirical association. The results suggest that economic fitness and CO₂ emissions have an inverted N-shaped relationship. Furthermore, after accounting for major contributing factor of CO₂ emissions like GDP per capita, financial development, urbanization, and foreign direct investment, our robustness checks produce robust and significant results.

Can artificial intelligence achieve carbon neutrality? Evidence from a quasi-natural experiment

Introduction

As the global climate crisis worsens, carbon neutrality has attracted the attention of various nations.

Methods

Based on panel data from 282 Chinese prefecture-level cities from 2008 to 2019, this research considers the execution of the artificial intelligence strategy as a quasi-natural experiment. It uses the difference-in-differences (DID) model to evaluate the effect of artificial intelligence construction on carbon emission reduction.

Results

The findings indicate that implementing the artificial intelligence strategy into practice can lower carbon emissions and advance carbon neutrality, and this conclusion still passes after various robustness tests. The mediating effects reveal that developing green technologies and upgrading the industrial structure are crucial mechanisms for achieving carbon neutrality. The implementation effect varies with time, geographical location, natural resource endowment, and city level.

Discussion

This article examines the influence of artificial intelligence on urban carbon neutrality at the city level, adding to the notion of urban carbon neutrality and providing research support for urban development transformation.

Socio-economic productive capacities and energy efficiency: global evidence by income level and resource dependence

This study tests the effects of productive capacities in socio-economic factors (human capital, transport, information-communication technology, institutions, private sector, and structural change) on energy efficiency in a sample of 125 countries. Energy efficiency is assessed by energy productivity (gross domestic product per unit of total primary energy supply) and energy intensity (total primary energy supply per capita). The world sample is divided into four income groups and an income-heterogeneous control group of non-renewable-resource-dependent economies. The study utilizes cross-sectionally dependent and stationary panel data from 2000 to 2018. The analysis of variance shows that higher income groups monotonically have higher levels in socio-economic productive capacities and energy intensity. The regression results from appropriate fixed-effects and random-effects modeling reveal varied driver and barrier influences of the socio-economic factors on energy efficiency improvements (higher energy productivity and lower energy intensity). In some cases, predictors scale up both energy productivity and energy intensity indicating the issue of the rebound effect. Higher human capital capacity stimulates energy efficiency except for middle-income groups. Higher transport capacity reduces energy productivity, except for upper-middle-income economies, and increases energy intensity for low-income and middle-income groups. The deployment of information-communication technologies is positively associated with energy productivity, except for low-income economies. Energy productivity performance of resource-dependent economies is improved by higher productive capacities in institutions and private sectors but impaired by structural change, whereas structural change drives energy efficiency in low-income economies. Additionally, the growth of gross national income per capita worsens energy efficiency for resource-dependent economies. Bidirectional feedback causalities are established between energy efficiency and its predictors in most cases. The heterogeneous findings are further discussed for providing research and policy implications.

Towards high-quality development: how does digital economy impact low-carbon inclusive development?: mechanism and path

High-quality development is the primary task of building a modern socialist country in an all-around way. Innovation, coordination, green development, openness, and sharing are the main connotations of high-quality development. Based on panel data from 286 cities in China, this paper empirically analyzes the impact of the digital economy on low-carbon inclusive development (hereinafter referred to as LIG). The results show that the digital economy has a salient promoting effect on LIG, and with the increase of quantile level, the promoting effect shows a marginal decreasing trend. Heterogeneity analysis found that the cities with low resource dependence and marketization of the digital economy and high environmental concern and competition have more salient promoting effects on LIG. The dimensionality reduction analysis shows that the impact of digital economy on economic growth, social inclusion, and low-carbon ecology gradually increases in turn. The mechanism test shows that R&D investment, green innovation, and market integration play a partial mediating role, while entrepreneurial activity, industrial upgrading, and development imbalance play a fully mediating role. Digital economy promotes urban economic growth and low-carbon ecological development through R&D investment and market integration and mainly promotes low-carbon ecological development through green innovation. The digital economy will promote low-carbon and inclusive urban development by stimulating entrepreneurship, promoting industrial upgrading, and alleviating development imbalances.

How do financial fragility and ICT penetration affect renewable energy consumption and green growth in top-polluting economies?

Green growth is an extension of traditional economic growth. Financial fragility and ICT penetration are important pillars of green growth sustainability. However, very limited studies have explored this association and provided conflicting results. Thus, our study intends to fill this vacuum by exploring the impact of financial fragility and ICT penetration on renewable energy consumption and green growth for the top five polluting economies over the period 1996-2020. In this study, financial fragility is measured by bank costs and bank non-performing loans. Panel ARDL technique is used to find out long-run and short-run results estimates. Financial fragility reduces renewable energy consumption and green growth in the long run. However, internet penetration enhances renewable energy consumption and green growth in the long run. Our findings suggest imperative policy implications for the green economy.

Does tourism productivity respond to economic growth and CO2 emissions asymmetrically in Asian countries? The implication for sustainability

In this study, we have analyzed the asymmetric influence of tourism activities on economic growth and CO₂ emissions in selected Asian economies covering the time span from 1992 to 2020. The results are estimated using the panel NARDL approach. These results confer that a rise in tourism activities causes the CO₂ emissions to decline and economic growth to rise, whereas a fall in tourism activities causes the CO₂ emissions to rise and economic growth to decline in the long run. Similarly, internet use reduces CO₂ emissions and enhances economic growth in the long run. On the other side, financial efficiency causes CO₂ emissions to fall and economic growth to rise in the long run. The results propose essential policy implications.

Eco-Innovation and Its Influence on Renewable Energy Demand: The Role of Environmental Law

There is a consensus among the empirics regarding the positive role of renewable energy in mitigating the effects of climate change. Hence, it is vital to search for the factors that can promote renewable energy demand. As a result, this analysis investigates the impact of educational attainment, environmental law, and innovation on renewable energy consumption (REC) in China. From empirical estimates, we confer that the long-run estimates attached to the environment-related taxes and environmental policy stringency are positive and significant, implying that both these factors increase the REC in China in the long run. Similarly, the estimated coefficients of environment-related technologies and patent applications are significantly positive, confirming that environmental and other technologies give rise to REC in the long run. Likewise, the long-run estimates of education are significantly positive in both models, which confer that REC increases along with an increase in average years of schooling. Lastly, the estimates of CO2 emissions are significantly positive in the long run. These results imply that policymakers should invest in research and development activities that are crucial for promoting eco-innovation and renewable energy demand. In addition, strict environmental laws should be introduced to induce firms and businesses to invest in clean energy.

Digital economy and pollution reduction-Mechanism and regional heterogeneity

The digital economy and ecological environment are two major issues related to high-quality economic development. Scholars have not yet reached a unified conclusion about the link between the digital economy and pollution emissions, and the impact mechanism of the former on the latter needs further study. Using data from 278 Chinese cities from 2010 to 2019, this research employs coupling coordination analysis, fixed effect analysis and mediation analysis to examine the heterogeneous impact mechanisms of the expansion of the digital economy on urban pollution reduction from many angles. It discovers that, first, the growth of the digital economy has decreased the discharge of urban pollutants overall. Second, the impact mechanisms of the digital economy are heterogeneous. From a regional perspective, industrial structure supererogation plays an intermediary role in the relationship between digital economy development and pollution reduction in the eastern and central regions, but the mediating effect is not significant in the western and northeastern regions. In terms of the city development level, industrial structure supererogation has significantly mediated the relationship between the growth of the digital economy and the reduction of pollution in first- and second-tier cities, but this mediating effect is not significant in third-tier and other cities. Third, the above conclusions are still valid after the robustness test is carried out using instrumental variable estimation, replacement of the estimation method, and replacement of explanatory variables. This study is a useful contribution to research on the effects of the digital economy and the factors influencing pollution reduction. The results advance the study of the digital economy and also have practical implications for improving China's ecological environment and fostering high-quality economic growth. Finally, we provide policy suggestions for the coordinated promotion of the digital economy's development, industrial structure supererogation and environmental pollution reduction.

Do environmental technology and banking sector development matter for green growth? Evidence from top-polluted economies

Pursuing green growth is imperative to cope with the climate change battle. Green growth in top-polluting economies is being encouraged. The underlying work is aiming to investigate the impact of environmental technology and banking sector on green growth. More precisely, the study employs CS-ARDL and PMG-ARDL methods for empirical assessment. The FMOLS and DOLS techniques have been used to perform the sensitivity analysis for CS-ARDL and PMG-ARDL results. Empirical evidence of both the CS-ARDL and PMG-ARDL models reveals that banking sector development and environmental technology promote green growth. In detail, the insights reveal the significant and positive effect of environmental innovations and technology on green growth in both long-run as well as in short-run. Moreover, the findings of the study also disclose the significant and positive effect of banking sector and stock market developments on green growth in both long-run and short-run. Sensitivity analysis confirmed and improved our findings. Based on these effects, the study delivers policy implications for the promotion of environmental-based technological innovations and financial sector development to enhance green growth in top-polluted economies.

Designing a clean environmental framework for Pakistan: analyzing the nonlinear impact of aggregate demand drivers on CO2 emissions

Aggregate demand in every country is one of the main components of macroeconomics, and Pakistan is no exception. This paper uses a fresh econometric framework to analyze the nonlinear impact of aggregate demand drivers on CO₂ emissions in Pakistan by using a nonlinear ARDL approach over the data period from 1975 to 2019. The linear findings reveal that consumption and government expenditure indicates deteriorating effects on carbon emissions in long run in Pakistan. However, nonlinear findings revealed that positive change in government expenditure and trade has positive effects on carbon emissions. The positive change in investment has a negative significant and meaningful effect on the environment in Pakistan and asymmetric findings are also country-specific. Therefore, this study offers a few important policy implications for theorists, academics, and policymakers of Pakistan as well developing economies.

Environmental factors and its influence on human health in BRICS: implications for human development

BRICS economies are facing severe environmental issues that exert a detrimental impact on human health. The analysis intends to examine the impact of CO₂ emissions, environmental policy stringency, and environmental innovations on health outcomes for the BRICS economies. The long-run results of the ARDL-PMG infer that CO₂ has a significant negative in the life expectancy model while it has a significant positive in the death rate model. These findings imply that the rise in CO₂ emissions reduces life expectancy and increases the death rate in BRICS economies. On the other side, the estimates of environmental innovation and environmental policy stringency are positively significant in the life expectancy model; however, in the death rate model, the estimate of environmental innovation is insignificant, and environmental policy stringency is negatively significant in the death rate model. In a nutshell, the findings imply that CO₂ emissions exacerbate health problems, environmental innovations, and environmental policy stringency, improving the health status of the people. Our findings suggest that the BRICS economies should revisit their environmental policies for the betterment of human health.

Is ICT Development Conducive to Reducing the Vulnerability of Low-Carbon Energy? Evidence from OECD Countries

This paper constructs a low-carbon energy vulnerability system with the three dimensions of economy-society-environment, uses the entropy method to measure the low-carbon energy vulnerability index of Organization for Economic Co-operation and Development (OECD) countries from 2002 to 2018, and observes the essential characteristics. On this basis, we analyze the impact of the development of the Information Communication Technology (ICT) service industry on the vulnerability of low-carbon energy and explore the moderating effects of technological innovation and resource consumption. This paper draws the following conclusions: (1) The low-carbon energy vulnerability of OECD countries shows a gradual downward trend, showing three stages of "continuous rise-declining volatility-low-level fluctuation". The low-carbon energy policies and implementation efforts in different countries have become the key to reducing the vulnerabilities of low-carbon energy in OECD countries. The economic and social vulnerabilities of low-carbon energy in most countries are outstanding. (2) The development of the ICT service industry benefits by reducing the vulnerability of low-carbon energy with a significant weakening effect, while high-vulnerability countries benefit even more. (3) In the weakening effect of the development of the ICT service industry on the vulnerability of low-carbon energy, technological innovation exerts an enhanced moderating effect, and resource consumption exerts a disruptive moderating effect. Technological innovation accelerates the weakening effect of the ICT service industry, and resource consumption is not conducive to the weakening effect of the ICT service industry. Based on this, we draw corresponding policy recommendations.

How does digital economy affect green total factor productivity? Evidence from China

To date, digital economy has become an emerging driving force of economic growth in various countries. To further explore the green value of digital economy, full array polygon graphic index method and Global Malmquist productivity index are used to evaluate China's digital economy development and green total factor productivity respectively. Based on a comprehensive explanation of the influence mechanism, spatial econometric model and intermediary effect model are constructed to test the spatial spillover effect and transmission mechanism between digital economy and green total factor productivity. The results show that digital economy has a positive direct impact and spatial spillover effect on green total factor productivity with the significant U-shaped characteristics, and these effects mainly come from the promotion of green technology progress by digital economy. Industrial structure upgrading and factor market distortion respectively account for 22 % and 5.875 % of the impact of digital economy on green total factor efficiency, which means that they are the two primary channels for digital economy to influence green total factor productivity. Results of heterogeneity analysis show that digital economy is the key factor for resource-based cities to break the "resource curse", but the unbalanced development of digital economy leads to the "digital gap" between the central and peripheral cities.

Financial integration and renewable energy consumption in China: do education and digital economy development matter?

Renewable energy is considered vital to addressing the issue of climate change and energy poverty. In recent times, empirics have tried to find the determinants of renewable energy consumption. Hence, the primary focus of the analysis is to estimate the impact of financial integration, education, and ICT on renewable energy consumption in China. In order to get the estimate of the variables, the analysis has applied the quantile ARDL model. The long-run estimates of the financial integration are positively significant at most quantiles, confirming the positive impact of financial integration on renewable energy consumption. Similarly, the long-run estimates of ICT are positively significant in almost all quantiles, confirming that digitalization helps increase renewable energy consumption in China. The long-term effect of education is significant at the higher quantiles. In the short run, the estimated coefficients of financial integration are positively significant at almost all quantiles; however, the estimated coefficients of ICT are positively significant in half quantiles. The short-run results of education are insignificant at most quantiles. In line with these results, several appropriate financial integration, digitalization, and education policies are recommended.

Asymmetric macroeconomic determinants of renewable energy consumption: do financial institutions and ICT trade matter?

This study aims to examine the asymmetric impact of financial institutions and information and communication technologies (ICT) trade on renewable energy demand in BRICS economies by using the cross-sectionally augmented nonlinear autoregressive distributed lag model. The asymmetric estimates of the financial institutions index confirm that a positive shock increases renewable energy consumption, and a negative shock reduces renewable energy consumption in BRICS economies. Similarly, the long-run asymmetric estimates attached to ICT trade are positively significant, confirming that a positive shock increases renewable energy consumption and a negative shock hurts renewable energy consumption. As far as country-wise estimates are concerned, the long-run asymmetric estimates of financial institutions are significant in Brazil, Russia, China, and South Africa. Similarly, the asymmetric estimates attached to ICT trade are significant in Russia, China, India, and South Africa. The results are asymmetric in nature, implying that negative and positive shocks have different effects on renewable energy consumption. Therefore, policymakers should consider both negative and positive shocks in financial institutions and ICT trade while devising policies regarding environmental sustainability and renewable energy consumption.

Economic growth targets and green technology innovation: mechanism and evidence from China

Economic growth target management is a government behavior that the authorities formulate at a specific time and direct the allocation of resources. Despite the importance of socio-economic development, economic growth targets have caused some potential hazards to the environment that cannot be ignored. Using a panel dataset of 278 prefecture-level cities in China over the period 2004-2019, the study employed a two-way fixed effects model to verify the inhibition effect of economic growth targets on green technology innovation (GTI). The results indicated that economic growth targets and hard constraints tended to have a significantly negative effect on GTI. More importantly, the results of the mediation effect test suggested a positive correlation between economic growth targets and the government fiscal expenditures and market segmentation, and both mediators played an intermediary role in the influence of economic growth target constraints restraining GTI. Other findings showed that the economic growth targets of prefecture-level cities had different impacts on GTI, which resulted from the different resource endowments, geographic locations, or periods. Overall, the results suggest that policymakers should lower the economic growth targets and use soft constraints to set them. The conclusions of this paper are applicable to policymakers not only in China but also other economies that regularly set economic growth targets.

Effects of ICT diffusion on environmental pollution: analysis of industrial reallocation effects in China

The development of information and communication technology (ICT) has brought about fundamental changes in social progress worldwide. Using panel data from 288 Chinese cities for the period from 1999 to 2019, this study evaluates the effect of the pilot Broadband China Strategy (BCS) program on environmental pollution. We find that BCS significantly reduces environmental pollution, and that this effect is stronger in eastern China and in Chinese cities with higher financial progress or broadband development. Interestingly, the negative effect of BCS on environmental pollution decreases with the improvement of human capital in the cities. We further discuss industrial efficiency and reallocation mechanisms and ascertain that BCS affects environmental pollution in pilot cities not only through the efficiency mechanism as established in the existing literature but also through the industrial scale change and labor transfer between different industries, which we refer to as the industrial reallocation mechanism in this study. Specifically, via the industrial efficiency and reallocation mechanisms, the implementation of the BCS increases the scale and efficiency of the primary and tertiary industries but decreases the scale and efficiency of the secondary industry. This reduction in the secondary industry results in a decline in environmental pollution. It indicates that promoting the balanced development of a country's ICT infrastructure and pushing forward ICT diffusion can help alleviate environmental pollution by industrial reallocation and efficiency improvement, especially in nations with significant regional economic and technological differences.

Determinants of China's renewable energy industry development: do eco-innovation and financial inclusion matter?

Fossil fuels are causing irreparable damage to the environment and lead to the depletion of reservoirs of coal, oil, and gas, which may give rise to the issue of energy scarcity and security. Therefore, policymakers and empirics have looked for alternative sources of energy that are affordable, reliable, and clean sources of energy. Consistent with this view, we have tried to examine the impact of eco-innovation and financial inclusion on renewable energy development in China. In order to empirically investigate, we have applied the autoregressive distributive lag model. The long-run estimates of eco-innovations are statistically significant and positive models, confirming that environmental-related innovations help increase the production of different renewable energy. Similarly, the long-run estimates of financial inclusion are positively significant, implying that an increase in financial inclusiveness intensifies the production of solar, biomass, and renewable energy in China. Generally, our findings imply that both eco-innovations and financial inclusion help increase renewable energy production in China in the long run.

Does sectoral energy consumption depend on trade, monetary, and fiscal policy uncertainty? Policy recommendations using novel bootstrap ARDL approach

Since the inception of the twenty-first century, there has been a profound upsurge in economic policy uncertainty (EPU) with several economic and environmental impacts. Although there exists a growing body of literature that probes the economic effects of EPU, the EPU-energy nexus yet remains understudied. To fill this gap, the current study probes the impact of disaggregated EPU (i.e., monetary, fiscal, and trade policy uncertainty) on energy consumption (EC) in the USA covering the period 1990M1-2020M12. In particular, we use sectoral EC (i.e., energy consumed by the residential sector, the industrial sector, the transport sector, the electric power sector, and the commercial sector) in consort with total EC. The findings from the bootstrap ARDL approach document that monetary policy uncertainty (MP) plunges EC, whereas trade (TP) and fiscal policy uncertainty (FP) escalate EC in the long run. On the contrary, there is a heterogeneous impact of FP and MP across sectors in the short run, while TP does not affect EC. Keeping in view the findings, we propose policy recommendations to achieve numerous Sustainable Development Goals.

Education and its impact on renewable energy demand, carbon intensity, and green growth: do digital financial inclusion and environmental policy stringency matter in China

Various targets need to be accomplished before the dream of sustainable development comes true. Among these targets, increasing renewable energy demand, reducing carbon intensity, and achieving green growth are the most noticeable. Therefore, the present study focuses on capturing digital financial inclusion's impact on renewable energy demand, carbon intensity, and green growth in the presence of ICT trade and environmental policy stringency in China. To empirically estimate the model, we have applied ARDL covering the time span from 1995 to 2020. The results state that the estimated coefficients attached to education, ATMS, and environmental policy stringency are positively significant in the renewable energy and green growth model and negatively significant in the carbon intensity model. From these results, we confer that education, digital financial inclusion, and environmental policy stringency are good for increasing renewable energy demand, reducing carbon intensity, and achieving green growth in China. In the short run, some of the estimates are negative; hence, we conclude that the results are inconclusive. The results recommend some imperative policy suggestions.

Revealing the effectiveness of environmental policy stringency and environmental law on environmental performance: does asymmetry matter?

Environmental stringency policy shocks and environmental tax have become fundamental policy tools for mitigating the degradation of the environment. The study explores the effects of environmental tax and environmental stringency policy shocks in the reduction of pollution emissions in China for the time 1993 to 2019. This study is a pioneer in assessing the simultaneous impact of these two policy instruments on pollution emissions in China. For empirical investigation, the study employed NARDL estimation techniques. The NARDL results show that positive shocks in environmental tax reduce N2O emissions by 0.03%, PM2.5 emissions by 0.13%, CO₂ emissions by 0.18%, and GHGs emissions by 0.01%, however, negative shocks in environmental tax increase N₂O emissions by 0.01%, PM2.5 emissions by 0.07%, CO₂ emissions by 0.28%, GHGs emissions by 0.17% in the long run. The long-run results also show that positive shocks in environmental policy stringency reduced CO₂ emissions by 0.94%, GHGs emissions by 0.77%, while negative shocks in environmental policy stringency increased N₂O emissions by 0.17%, PM2.5 emissions by 0.50%, CO₂ emissions by 0.63%. The findings suggest vigorous policy implications.

Intelligent Manufacturing and Carbon Emissions Reduction: Evidence from the Use of Industrial Robots in China

Driven by the information technology revolution, using artificial intelligence to promote intelligent manufacturing while achieving carbon emissions reduction is increasingly the focus of international attention. Given this, based on the fact that China's industrial manufacturing is more intelligent, this paper uses industrial sector data and robot data from 2000 to 2017 to examine the impact of intelligent manufacturing on industrial carbon dioxide emissions and to discuss its internal mechanism. The research found that intelligent manufacturing significantly inhibits carbon dioxide emissions in the industrial sectors. The emission reduction effect is more obvious in industries with higher carbon emissions and intelligence. The mechanism test shows that intelligent manufacturing mainly achieves industrial emission reduction by reducing fossil energy consumption in the production process and improving energy use efficiency. The research findings of this paper provide favorable evidence for using new technologies, such as artificial intelligence, to achieve carbon emissions reduction, and validate the importance of intelligent manufacturing in tackling climate change in the future. It provides an essential reference for developing countries to use artificial intelligence for their carbon emissions reduction goals.

Sustainable impact of COVID-19 on education projects: aspects of naturalism

History records show that pandemics and threats have always given new directions to the thinking, working, and learning styles. This article attempts to thoroughly document the positive core of coronavirus 2019 (COVID-19) and its impact on global social psychology, ecological stability, and development. Structural equation modeling (SEM) is used to test the hypotheses and comprehend the objectives of the study. The findings of the study reveals that the path coefficients for the variables health consciousness, naturalism, financial impact and self-development, sustainability, compassion, gregariousness, sympathy, and cooperation demonstrate that the factors have a positive and significant effect on COVID-19 prevention. Moreover, the content analysis was conducted on recently published reports, blog content, newspapers, and social media. The pieces of evidence from history have been cited to justify the perspective. Furthermore, to appraise the opinions of professionals of different walks of life, an online survey was conducted, and results were discussed with expert medical professionals. Outcomes establish that the pandemics give birth to creativity, instigate innovations, prompt inventions, establish human ties, and foster altruistic elements of compassion and emotionalism.

The nexus among ICT, institutional quality, health expenditure, and carbon emission: a case study from Saudi Arabia

The most essential component of human capital is health capital; however, expenditures on health are gaining attention from practitioners, policymakers, and researchers. Accordingly, this study determined the dynamic association between health expenditures (HEP), economic growth (ECGW), carbon emissions (COEM), information and communication technology (ICT), institutional quality (IQ), and energy consumption (EC) in the context of Saudi Arabia. The autoregressive distributed lag and vector error correction model was employed to identify the dynamic linkages among under-considered variables by using data of 1995-2019. The empirical analysis indicated that COEM, ECGW, and EC have a positive influence on HEP, while ICT and IQ have a negative effect on HEP. There is bidirectional causality is identified between COEM, ICT, IQ, and EC, while one-way long-run causality is recognized from HEP and ECGW to these variables. Moreover, two-way short-run causality is identified between ICT and EC, whereas one-way causality is recognized from HEP and COEM to ICT. This study empirically established the essential role of IQ and ICT to enhance air quality and decrease the HEP. Consequently, policymakers should strengthen the institution and implement advanced ICTs to provide a healthy economy.

The integrated impact of GDP growth, industrialization, energy use, and urbanization on CO2 emissions in developing countries: Evidence from the panel ARDL approach

Developing economies are an important engine of world economic growth. However, ensuring the quality of environmental assets is maintained amid rapid economic change remains a major challenge for most developing countries. Using the Panel Autoregressive Distributed Lag (ARDL) approach and the heterogeneous causality test, this study analyzes the combined effects of energy usage, industrialization, gross domestic product (GDP) growth, and urbanization on CO₂ emissions for 23 developing countries across the 1995 to 2018 period. From our analysis, the long-run results reveal that a 1% increase in energy use, economic growth, industrialization, and urbanization increases CO₂ emissions by 0.23%, 0.17%, 0.54%, and 2.32%, respectively. Moreover, our model's short- to long-term equilibriums are adjusted at a yearly rate of 0.19%. Finally, to verify the panel ARDL long-run results, robustness tests were carried out using the Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) approaches. Our results confirm that in the case of developing countries, CO₂ emissions are primarily influenced by GDP growth, energy use, industrialization, and urbanization. Furthermore, the panel causality analysis identified a bidirectional causal relationship between energy use, GDP growth, urbanization, industrialization, and CO₂ emissions. While these results can play an instrumental role in formulating CO₂ emission policies among our selected countries, our research can also assist policy makers and stakeholders in other developing economies implement important policy initiatives. These include, tax incentives and infrastructural developments that nurture environmentally friendly industrialization, deploy low-carbon technologies, promote sustainable forms of urbanization and urban planning, while also facilitating increases in both the investment in and adoption of renewable energy platforms. The establishment of such a comprehensive policy agenda can help emerging economies achieve strong and environmentally sustainable GDP growth over the long-term.

Exploring the potential role of higher education and ICT in China on green growth

The upsurge in higher education is considered a key determinant for enhancing green growth. Moreover, ICT development is also the main catalyst of green growth. This research explores the role of higher education and ICT on green growth for China from 1995 to 2020. The study employs auto-regressive distributive lag (ARDL) approach for short-run and long-run estimates of green growth. The effect of higher education and ICT on green growth is significantly positive in the long run and short run. The outcomes of the empirical models reveal that financial inclusion is positively associated with green growth in both long run and short run. Moreover, renewable energy consumption is found to have a positive impact on green growth. The findings thus point to the need for policies that promote human capital and ICT infrastructure as a way of accelerating green growth.