The effect of ICT on CO2 emissions in emerging economies: does the level of income matters?

Does smart city construction promote urban green development? Evidence from a double machine learning model

The issue of whether smart city construction (SCC) can promote urban green development (UGD) is controversial. To address this problem, first, a UGD evaluation index system with four dimensions, namely, green production, green living, green growth, and green ecology, is developed in this study to measure the UGD level. Second, the causal relationship between SCC and UGD is examined by using a double machine learning model. Last, the influence mechanism of SCC on UGD is investigated in terms of industrial upgrading, resource allocation, information support, and technological innovation. Panel data from 282 Chinese prefecture-level cities from 2011 to 2021 are used in this study, and several valuable conclusions are drawn. First, the UGD level of the Chinese cities shows an upward trend. Second, SCC can substantially promote UGD and has a positive effect on the green production, green living, and green growth of the Chinese cities. Third, SCC can promote the UGD of the Chinese cities through industrial upgrading, resource allocation, information support, and technological innovation. Last, the effect of SCC on UGD in the Chinese cities displays regional heterogeneity.

Does economic policy uncertainty, nuclear energy, and crude oil influence CO2 emissions? A sectoral growth analysis on G20 countries

The G20 nations collectively accounted for a significant portion of global CO2 emissions due to their vast economies and rising energy demand. While some G20 nations have made substantial efforts to reduce their emissions through policies such as renewable energy incentives and carbon pricing, others may still heavily rely on fossil fuels for energy production and industrial processes. Therefore, this recent study endeavoured to investigate the relationship between nuclear energy consumption (NEC), crude oil (CO), and economic policy uncertainty (EPU) with CO2 emissions in three economic sectors of G20 nations. Despite voluminous research work conducted on mitigating CO2 emission, to the best of our understanding, this paper marks the inaugural endeavour to investigate the impact of the afore-mentioned variables in a three-sector model with emission across G20 countries. To achieve this objective, we carried out a range of examinations, encompassing panel unit root and cointegration tests, followed by panel DOLS, ARDL, and the Dumitrescu-Hurlin causality test, spanning the period from 1990 to 2022. The findings trace that agricultural growth reduces CO2 emissions, while manufacturing and service sector growth increases CO2 emissions in both the short and long run. The panel ARDL analysis shows that CO leads to an increase in carbon emissions in the short term, whereas NEC contributes to a reduction in emissions. In terms of the synergy between NEC and EPU, it is noteworthy to mention that the collective impact of increase in NEC and decrease in EPU reduces the emission in three sectors. Nevertheless, in the long term, EPU exhibits a negative correlation with emissions across three sectors. Hence, the current research proposes waning EPU as a deliberate strategy to reduce emissions under careful consideration of its potential effects and feasibility within broader economic and policy contexts.

Do all roads lead to Rome? Conditions and configurations of digital economy on carbon emission efficiency

Regional disparities in energy efficiency persist despite the significant potential offered by the digital economy for China's low-carbon transition. From a technology applications perspective, this study analyzed the configurations and conditions of digital economy and recommendations that are crucial for promoting overall energy efficiency improvements. This study begins by calculated and analyzed the spatiotemporal characteristics of CEE across 30 provinces in China from 2011 to 2021 by using the SBM-Undesirable model. Based on the Technology-Organization-Environment (TOE) perspective, we combined fs QCA and NCA to identify multiple conjunctural causations, asymmetries, and hidden pathways that support the low-carbon transition. Finally, this study provides a new policy scheme for China's low-carbon transition. The results indicated that: (1) CEE has improved over time, with significant improvement in the east and west, while the central region lags; (2) no single element of the digital economy is sufficient to ensure high CEE; (3) The impact of the digital economy on CEE involves complex causal relationships and asymmetries, with four effective pathways identified: human capital-driven, finance-technology complementarity, technology-organization complementarity, and balanced element integration. This study provides policymakers with systematic empirical evidence and targeted policy recommendations to promote regional industrial digital transformation, bridge regional disparities in carbon emission efficiency, and achieve overall sustainable development.

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.

Impact of ICT diffusion and opportunity entrepreneurship on environmental sustainability in Saudi Arabia

The need to prioritize sustainable development is expanding in light of the world's environmental concerns. To address these concerns, entrepreneurship is essential as a catalyst for inventions, economic expansion, and social change. Entrepreneurship activities have direct and indirect effects in the face of environmental risks and uncertainties. This study addresses gaps in understanding entrepreneurship's non-linear and complementarity effects, particularly opportunity-driven entrepreneurship and information and communication technologies (ICT), on the quality of the environment in Saudi Arabia. The dynamic ordinary least squares (DOLS) method is used to estimate long-run relationships. Saudi Arabia will be the perfect context for sustainability because the country has prioritized sustainability through its Vision 2030, and the Saudi government has substantially supported entrepreneurship. The main contribution of this paper to the existing literature is evident in its examination of the quadratic relationships between both opportunity-driven entrepreneurship and ICT diffusion, including ICT access, use, and skills, on environmental quality. In addition, the study delves into the ICT diffusion's modulating effects on the nexus of opportunity entrepreneurship with environmental quality, providing insights into how these factors can effectively improve environmental quality. The findings show that opportunity entrepreneurship and ICT diffusion initially deteriorate environmental quality before leading to improvements as their levels mature in the economy. Moreover, interactions between ICT proxies and opportunity entrepreneurship yield mixed effects, with negative net effects on CO2 emissions and ecological footprint countered by positive net effects on the environmental performance index. These findings highlight the dual role of ICT diffusion as a contributor to environmental challenges and a potential solution, depending on the level of its diffusion and interaction with entrepreneurial activities. Therefore, policymakers should create plans that encourage and direct business activity toward more environmentally friendly methods. They should also consider the short- and long-term effects of growing digital technologies on environmental sustainability and how they might revolutionize how entrepreneurship and sustainability goals are aligned.

Does digital-industrial technology integration reduce corporate carbon emissions?

The integration of digital technology and industrial technology emerges as a pivotal avenue for enterprises to attain Sustainable Development Goals (SDGs), promoting the transition towards a sustainable and green trajectory of development. The panel data utilized in this paper encompasses financial, operational, and carbon emission metrics of publicly listed companies in China from 2008 to 2019. This longitudinal dataset enables us to perform robust statistical analyses to evaluate the impacts of Digital-Industrial technology integration on carbon emission intensity over time. The results indicate that: (i) Digital-Industrial technology integration significantly reduces the carbon emission intensity of enterprises, the conclusion remains robust when subjected to endogeneity and sensitivity analyses. (ii) Digital-Industrial technology integration mainly reduces the marginal cost of production and enhances the accumulation of knowledge to reduce the carbon emission intensity of enterprises. (iii) Digital-Industrial Technology Integration manifests more pronounced effects in curbing carbon emissions in regions characterized by robust property rights protection and well-developed digital infrastructure. (iv) Further research finds that Digital-Industrial technology integration increases the green technology innovation and ESG (Environmental, Social, and Governance) performance of enterprises. The results of this study provide empirical evidence for the carbon emission reduction function of the Digital-Industrial technology integration, and also verify the positive externality impact of the Digital-Industrial technology integration on the enterprise green innovation and SDGs.

Digital finance and sustainable development: Evidence from developing nations

OBJECTIVES

This paper investigates the role of digital finance in promoting environmental sustainability within a group of 52 developing economies from 2010 to 2019. Specifically, it examines whether digital finance effectively contributes reducing CO2 emissions in these nations.

METHODS

This paper is a quantitative study which employs the IV-GMM (instrumental variable generalized methods of moment) approach that tackles any potential endogeneity. Furthermore, to ensure robustness of results, this paper also utilizes different measures of financial development.

RESULTS

Estimation results from this study reveal the presence of inverted U-shaped relationship between digital finance and CO2 emissions. This suggests that the beneficial effects of digital finance may take time to materialize. Additionally, this research also records the presence of the Environmental Kuznets Curve and a significant impact of renewable energy, trade openness, financial development, urbanization, and population on CO2 emissions.

CONCLUSIONS

It can be concluded that it may take time for digital finance to become beneficial to the environment. Therefore, in addition to digital finance, countries should also adopt other measures simultaneously (use of renewable energy, combination between digital finance and financial development).

Effect of using households' information and communication technology on CO2 emissions-empirical evidence of the city of Novi Sad

Globally, the carbon footprint (CF) is constantly increasing, contrasting with the decreasing trend observed for decades in the European Union (EU) countries, where EU guidelines are responsibly followed and outlined in its strategic documents. Information and communication technology (ICT) carbon emissions have historically increased in parallel with global emissions, contributing to continuous increases in ICT's CF over time, even when excluding full life cycle emissions. This study examines the impact of ICT on household electricity consumption, aiming to quantify the potential reduction of greenhouse gas (GHG) emissions through improved household energy efficiency. The methodology includes the data collection on ICT device usage in households within the city of Novi Sad (Republic of Serbia), employing the survey method that queries respondents on device quantities and their usage patterns. This study provides results for decision-makers to recognize concrete benefits from the transition to a circular economy (CE) and low-carbon emissions, which are reflected as benefits for the local community and socio-economic environment.

Do circular economy, renewable energy, industrialization, and globalization influence environmental indicators in belt and road initiative countries?

This paper is the first comprehensive research to examine the effect of circular economy on environment employing two environmental degradation indicators (CO2 emissions, ecological footprint) and one environmental quality indicator (load capacity factor) for 57 Belt and Road Initiative (BRI) countries during 2000-2019. The effect of other variables such as renewable energy, industrialization, and globalization was also controlled. The study applied the cross-sectional autoregressive distributed lag method (CS-ARDL), the augmented mean group (AMG), and common correlated effects mean group (CCEMG) methods as a robustness checks. The empirical findings reveal that circular economy and renewable energy have pro-environmental effects by decreasing carbon emissions and ecological footprint and increasing the load capacity factor in BRI countries. However, industrialization and globalization have detrimental effects on the environment. The result of causality shows a bidirectional causality between renewable energy, circular economy, industrialization, and three environmental indicators, but the relationship of globalization with CO2 emissions and the load capacity factor is unidirectional and with the ecological footprint is bidirectional. All the results are confirmed by the robustness tests. The study suggests policy implications for the BRI government.

Effects of geopolitical risk on environmental sustainability and the moderating role of environmental policy stringency

This study investigates the impact of geopolitical risk (GPR) on consumption-based carbon (CCO2) emissions as well as the moderating role of environmental policy stringency (EPS) on the above relationship. Based on data collected from 27 countries from 1990 to 2020, the basic results from the sample of the study indicate that GPR accelerates CCO2 emissions. Quantile regression results reveal that the effect of GPR is more pronounced in countries with higher CCO2 emissions. Moreover, EPS weakens the escalating effect of GPR on CCO2 emissions. The robust test results validate the findings reported in the basic regression model. The heterogeneity test indicates that the impact of GPR on CCO2 emissions is greater in developing countries compared in developed countries. The study also proposes these policy implications based on the findings: (1) countries should ensure a stable political environment, establish a robust legal system and promote energy transition; and (2) the scope of environmental taxes should be expanded where different tax rates should be imposed in order to be useful in reducing CCO2 emissions.

The crucial roles of ICT, renewable energy sources, industrialization, and institutional quality in achieving environmental sustainability in BRICS

The BRICS countries-Brazil, Russia, India, China, and South Africa-are committed to achieving United Nations Sustainable Development Goal 13, which focuses on mitigating climate change. To attain this goal, it is crucial to emphasize the significance of ICT, renewable energy sources, industrialization, and institutional quality. This study contributes to the literature by examining the potential role of these factors in environmental sustainability in the BRICS economies from 2000 to 2021, utilizing cross-sectional augmented autoregressive distributed lag (CS-ARDL) estimation and other novel econometric techniques. Accordingly, the study suggests that BRICS governments and policymakers prioritize the use of ICT in the industrial and institutional sectors to achieve faster environmental sustainability in the short-run, as per the CS-ARDL results. However, the study advises caution in the long-term as the interaction between ICT and renewable energy sources, industrialization, and institutional quality may not favour environmental quality. Although the renewable energy sources interaction with ICT may not yield immediate progress, strong measures need to be taken to ensure that short-term gains are not nullified. In conclusion, the study highlights the potential of ICT, renewable energy sources, industrialization, and institutional quality in achieving environmental sustainability in the BRICS countries, while recommending cautious measures in the long run to safeguard the progress made.

Effects of macroprudential policies on ecological footprint: the moderating role of environmental policy stringency in the top 11 largest countries

This study investigates the impact of macroprudential policies on ecological footprint (EF) in the top 11 largest countries. This study uses country-level panel data from these countries, covering the period from 1992 to 2020. Findings indicate that macroprudential policies alleviates ecological footprint in the sample. Macroprudential policies primarily reduce the ecological footprint before medium quantile (50%) while the environmental benefits of the policies end in the later quantiles. Moreover, environmental policy stringency (EPS) amplifies the positive influence of macroprudential policies on environmental sustainability. Estimate results stay the same with basic regression results in the post-global financial crisis (GFC) period while the impact is positive in the pre-GFC period. Finally, other robust tests validate the findings reported in basic regression model. This study suggests that governments should customize various types of macroprudential policies while also considering environmental concerns. The achievement of a sustainable environment can be facilitated by the combined effects of macroprudential policies and EPS.

Towards smart sustainable cities: Does technological innovation mitigate G7 CO2 emissions? Fresh evidence from CS-ARDL

Sustainable cities are considered paradigmatic to achieve COP27 targets, but scant literature has analyzed the association with CO2 emission (CE) mitigation policies, especially for the G7 economies. This study traces the impacts of urbanization, innovation, income, and energy consumption on CE for the G7 countries from 1995 to 2019. The time period is important due to the rapid increase in urbanization, globalization, and, at the same time, technology diffusion. The study is focused on novel and relevant panel data econometric methods that tackle cross-section dependence, non-normality of data, and heterogeneity in slope coefficients. The empirical outcome first confirms the long-run cointegrating relationship among the variables in the presence of structural breaks by employing the advanced panel cointegration test. Technologies related to environmental management and energy consumption are positively linked with CE. However, the role of income per capita is found to be inverse with CE. In contrast, the effect of urbanization in different models is mixed for CE. Innovation and its interaction with urbanization are crucial for limiting CE and promoting sustainable cities in G7 economies. This indicates that urbanization with environment-friendly innovation can help G7 countries foster sustainable cities and achieve COP27 targets in general, specifically the Sustainable Development Goal of sustainable cities. The results were tested for the multiplicative effect of different variables with urbanization and innovation. Regarding policy insights, the study recommends focusing on smart and sustainable cities with environment-related innovations and transitioning towards cleaner energy from conventional energy consumption.

Does ICT influence carbon emissions in the context of universal connectivity: a global perspective?

The Connect 2030 initiative, launched by the International Telecommunication Union, is in alignment with the Sustainable Development Goals (SDGs) of the United Nations Agenda 2030. Its main objective is to achieve universal connectivity, a goal that is closely related to environmental issues. This topic currently receives attention from researchers and policymakers. Given these considerations, our study investigates the impact of information and communication technologies on carbon dioxide emissions for a panel of 84 countries spanning the years 2009 to 2020. Using principal component analysis, we construct an ICT index that encompasses international bandwidth, reflecting the universal connectivity, and participation in international data exchanges. The empirical analysis applies the pooled mean group-panel autoregressive distributive lag (PMG-ARDL) approach to estimate both the long-run and short-run coefficients of CO2 emissions' determinants. Our findings show that ICT and renewable energy mitigate CO2 emissions, unlike financial development, GDP, and non-renewable energy, which contribute significantly to emissions for the full sample. These outcomes suggest that promoting ICTs in general and international bandwidth in particular, as part of universal connectivity, improves the quality of the global environment.

Macroprudential policies and CO2 emissions: A comparative analysis of G7 and BRIC countries

This study investigates the impact of macroprudential policies on CO2 emissions in G7 and BRIC countries using country-level panel data from 11 countries, covering the period from 1992 to 2020. The findings indicate that macroprudential policies alleviate CO2 emissions in the sample. Quantile regression results reveal that policies can exacerbate CO2 emissions in countries with high levels of CO2 emissions due to carbon leakage. The positive impact of macroprudential policies on sustainable development can be strengthened by high level of globalisation. Moreover, the influence of macroprudential policies stayed the same based on the basic regression results during the post-global financial crisis (GFC) period, while the impact was positive in the pre-GFC period. Finally, robust tests validated the findings reported in the basic regression model. From this, policymakers should prioritise sustainable economic growth when implementing macroprudential policies and leverage the influence of globalisation to amplify their impact on CO2 emissions. Furthermore, it is crucial to strengthen environmental regulations to prevent carbon leakage that result from industries seeking lenient standards.

Investigating the impact of ICT on transport-based CO2 emissions: empirical evidence from a quantile cointegration regression analysis

In the global initiative to leverage information and communication technologies (ICT) for reducing emissions, sub-Saharan Africa (SSA), a region of unique significance, has exhibited a delay in adopting ICT. This study aims to investigate the intricate relationship between ICT and carbon dioxide (CO2) emissions from transport in SSA. Employing the panel quantile autoregressive distributed lag (PQARDL) technique, the study analyzes panel data from 24 SSA nations spanning from 2000 to 2021. The results indicate that internet usage and fixed telephone subscriptions have a mitigating effect on CO2 emissions from transport across all quantiles in both the short and long run. However, mobile phone subscriptions contribute to CO2 emissions from transport across all quantiles. Additionally, the middle-income groups demonstrate negative relationships between ICT variables and emissions from transport, while the low-income group exhibits significant positive associations. These findings imply that ICT plays a pivotal role in mitigating transport-based emissions and reveal pronounced disparities in ICT adoption across various income groups within SSA, highlighting overarching underdevelopment in ICT infrastructure. Robustness checks employing a two-step system generalized method of moment (GMM) model reinforce our findings. The study provides policy recommendations, including the promotion of ICT infrastructure development, implementation of smart transportation solutions, and fostering public-private partnerships to address these challenges, shedding light on the path toward a greener and more sustainable transport ecosystem in SSA.

Financial inclusion, environmental degradation, and the moderating role of ICT: a global perspective

This study aims to investigate the global perspective on the relationship between financial inclusion and environmental degradation, taking into account the potential moderating role of information and communication technology (ICT). The research utilizes panel data from 131 countries, covering the period of 1995 to 2019. The findings show that financial inclusion has significant and positive impact on carbon emissions, implying that as financial inclusion increases, so do carbon emissions. Moreover, our findings reveal a significant negative moderating effect of the ICT on the relationship between financial inclusion and carbon emissions. This implies that the impact of financial inclusion on carbon emissions is contingent upon the level of ICT development. The robustness of these findings is confirmed through the use of alternative proxies for the explanatory and moderating variables, as well as alternative estimation methods. The outcomes of this study carry significant implications for both policy and practice.

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.

Political competition and environment quality: a study of India

The focus of sustainable development goals (SDGs) is to promote the use of renewable energy so that countries can achieve better environmental quality. However, the progression is plodding, and still, 80% of energy comes mainly from conventional sources in developing countries. The implementation of procedures depends on the political attitudes, political stability, and quality of institutions. India has a diverse political structure ranging from central government to state government to local governments. In the late '80 s, India witnessed a stiff rise in regional and national political parties, which leads more political competition. This paper tries to explain the possible relationship between political competition and CO2 emission in India. With the application of the time series non-linear ARDL (NARDL) model, this study tries to find the asymmetric relationship between political competition and CO2 emission. In our empirical model, we also include other important elements of environmental quality like innovation and fossil fuel consumption. Empirical results show that political competition is asymmetrically related to CO2 emissions in the long run. Fossil fuel consumption and innovation also have a significant relationship with emissions. Based on the results, a few policy recommendations have been discussed.

How does Information and Communication Technology (ICT) industry agglomeration affect carbon emission efficiency? Evidence from China

The Information and Communication Technology (ICT) industry takes on critical significance in promoting economic development and reducing carbon emissions. From the agglomeration perspective, how the ICT industry agglomeration affects carbon emission efficiency (CEE) in 30 provinces in China from 2006 to 2020 is innovatively investigated. We measured CEE using a dynamic directional distance function-based DEA model. Then, based on the research hypotheses, the specific impact and transmission mechanism of ICT industrial agglomeration on CEE are revealed using a spatial Dubin model and a threshold panel model. The results show that: (1) the ICT industry agglomeration exerts a remarkable inverted "U-shaped" effect on CEE. This non-linear effect is significant in the eastern and central regions, but not in the western region. (2) ICT industry agglomeration can affect CEE in neighboring regions. The spatial spillover effect shows an inverted "U-shaped" in the central region, positive in the western region, and insignificant in the eastern region. (3) when green technology innovation exceeds the threshold value (4.948), ICT industry agglomeration positively affects CEE, and when energy structure exceeds the threshold value (0.389), their marginal effects are significantly negative. The threshold effect also shows regional heterogeneity. This research proposes policy recommendations focusing on accelerating the ICT industry transformation, leveraging the spillover and technological advantages of agglomeration, and enhancing regional cooperation.

Financial fragility, human resource management, and transition to renewable energy in Asian economies: a comparative analysis

The main hurdle in deploying renewable energy projects is the high initial cost, making it difficult for businesses and individuals to afford it. The fragility of the financial sector and human resource management further slows the pace of renewable energy demand. Therefore, we aim to investigate the impact of financial fragility and human resource management on renewable energy consumption over time horizon 1997-2020. To that end, the analysis employed the ARDL-PMG model. For Asia as a whole and all other sub-regions, including South East Asia, East Asia, South Asia, and Western Asia, the estimates for bank non-performing loans are notably negative. In general, these findings imply that a rise in financial fragility significantly reduces renewable energy consumption in the long run. In the short run, the estimates attached to both bank non-performing loans and bank costs are negatively significant in Asia and sub-regions of Western Asia only. The results for the human resources show that it exerts a significant and positive influence on renewable energy demand in Asia as a whole, South Asia, East Asia, and Western Asia. The estimates attached to human resources are statistically insignificant in all models in the short run. In the end, some important public strategies and their implementations have been discussed.

Fostering sustainability: unveiling the impact of Internet development on carbon emissions in China

The rapid development of the Internet has significantly impacted various socio-economic activities. Using Chinese Industrial Enterprise database and Industrial Enterprise Pollution database, this research examines the impact and mechanisms of Internet development on CO2 emissions. The key findings are as follows: (1) Internet development has substantially reduced the CO2 intensity of enterprises, and this conclusion remains robust even after performing a series of robustness analyses. (2) The major mechanisms responsible for the reduction in CO2 emissions are productivity improvement, technological innovation, and energy structure adjustment. (3) The analysis of heterogeneity reveals that the effect of Internet development on CO2 reduction is more pronounced in coastal areas, areas with a high share of secondary industry, low-carbon industries, clean industries, small-scale enterprises, and export enterprises. This study provides empirical evidence supporting China's "Internet+" strategy and its progress towards achieving the "Carbon Peaking and Carbon Neutrality Goals."

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.

Impact of Internet development on carbon emission efficiency under carbon neutral target: evidence from global 58 economies

With the introduction of economy carbon neutral target policies one after another worldwide, the carbon emission reduction actions of economies around the world have become a hot topic attracting international attention. Meanwhile, the role of the Internet in energy saving and emissions reduction in economies around the world is also becoming more prominent. However, for now, there is still a lack of in-depth research on the impact and role relationship between Internet development and global economy carbon emission efficiency. Therefore, based on the availability of data, this study used the Malmquist index based on game intersection to measure and analyze carbon emission efficiency based on 58 economies around the world that proposed carbon neutrality targets between 2000 and 2019. The study used a spatial econometric model to explore the impact of Internet development on carbon emission efficiency. The objective was to provide a policy reference for high-, medium-, and low-income economies worldwide to achieve their carbon neutrality targets as soon as possible. The results of the study showed that carbon emission efficiency was closely linked to economic development level in economies around the world, that the gap between the development levels of high- and low-Internet-connected economies is gradually widening, that Internet development significantly improved carbon emission efficiency, that levels of economic and financial development played a mediating role in the relationship between Internet development and carbon emissions efficiency, and that the level of urbanization played a moderating role in the relationship between Internet development and carbon emissions efficiency. Exploring the influence and the mechanism of action between Internet development and carbon emission efficiency will contribute to early achievement of global carbon neutrality targets in all economies.

Industrialization, globalization, ICT, and environmental degradation in Malaysia: A frequency domain analysis

This paper examines the causal relationship between industrialization, globalization, information communication technology (ICT) and environmental degradation in Malaysia during 1970-2019. It uses two indicators of environmental degradation (carbon emissions and ecological footprint), three dimensions of globalization (political, social, and economic) and three indicators of ICT (users of internet, mobile cellular, and fixed telephone subscriptions). It utilizes Granger causality technique in frequency domain which differentiates between permanent and temporary causality, Vector Error Correction approach as well as Variance Decompositions. The bound test shows that the variables have cointegration relationship. It reveals joint long-run and short-run causality from industrialization, globalization, and ICT to carbon emissions, albeit the causality to ecological footprint is tenuous. It indicates that industrialization, globalization, and ICT significantly predict carbon emissions at high frequency than at low frequency. A substantial percentage of the forecast error variance in environmental degradation are explained by industrialization, globalization, and ICT. The robustness of the empirical outcomes is confirmed by the alternative proxies of the variables. Our study implies that industrialization, globalization, and ICT are determinants of environmental degradation. Therefore, policies to mitigate environmental problem should prioritize these variables to attain green economy.

Moving towards the path of environmental sustainability in Developing-8 countries: investigating the role of country's reputation in mitigating environmental externalities

A country's reputation plays a crucial role in shaping public perceptions, attracting investment and promoting economic development. At the same time, good governance is essential for promoting environmental sustainability and addressing pressing environmental issues such as climate change, pollution and natural resource depletion. This study examines the impact of a country's reputation on environmental sustainability in Developing-8 countries using panel data obtained from the Worldwide Governance Indicators and World Development Indicators for the duration from 1996 to 2020. This panel study adopted the Method of Moment Quantile Regression with fixed effects and mean-based regressions. The results demonstrated that the impact of the country's reputation index on carbon dioxide (CO2) emissions is negative, yet significant. Also, all the country's reputation indicators negatively affect CO2 emissions, but the case of political stability is only significant in the mid-quantiles, while government effectiveness is albeit insignificant across quantiles. Furthermore, economic growth is observed to stimulate CO2 emissions, while renewable energy consumption decreases CO2 emissions. These results have an inherent heterogeneity, culminating in an asymmetric pattern of the distribution of CO2 emissions. The novelty of this study is, firstly, the construction of a country's composite reputation index for Developing-8 countries; and secondly, assessing the impact of this index in mitigating environmental externalities measured by CO2 emissions. Based on these findings, it is recommended, among other things, the need for the D-8 countries to improve their reputation policy to be able to attain the desired environmental sustainability.

Global digital divide and environmental degradation in Africa

ICTs and access to Internet use are considered vital for the achievement of sustainable development goals. So, this study explored the effect of the global digital divide, trade openness, renewable energy consumption, and forestation on greenhouse gas (GHG) emissions in 42 high-income countries (HICs) and high-middle-income (HMICs), low-income countries (LICs), and low-middle-income countries (LMICs) of Africa from 1990 to 2018. TheDumitrescu-Hurlin causality results confirmed a unidirectional causality from GHG emissions to the global digital divide (HICs and HMICs), global digital divide to GHG emissions (LICs), and GHG emission to trade openness (LICs and LMICs). Moreover, the long-run results of the autoregressive distributed lag (ARDL) model showed an increase in GHG due to an increase in the global digital divide in all three panels. Further, ARDL results showed reduced GHG emissions due to increased trade openness in LIC and LMICs, renewable energy consumption, and forestation in all three panels. Thus, to encounter pollution from Internet use, the government should start environment-friendly projects through public and private investment in smart and modern environment-friendly technology and reduce the taxes and tariffs on them. Moreover, the governments of African countries should create public awareness through print and electronic media for raising the forestation area.

Innovation, global competitiveness, and green total factor productivity: evidence from the Belt and Road Initiative region?

In the context of intensifying global competition, the Belt and Road Initiative is increasingly becoming an important choice for countries to achieve green development. Therefore, this study selected 116 countries worldwide as samples to empirically test the green development situation of Belt and Road Initiative countries from 2013 to 2020. Additionally, a simultaneous equation model was used to study the impact and mechanism of innovation capability on green total factor productivity (GTFP) in Belt and Road Initiative countries. The results show that he average annual growth in green total factor productivity was 2.9% between 2013 and 2020 in Belt and Road Initiative countries. Innovation is an effective means of promoting the improvement of GTFP, mainly relying on the single-track drive of green technical progress. Furthermore, global competitiveness has a significant moderating effect on this result, with market size, financial market, and labor market efficiency being the main regulating factors for efficiency enhancers, while infrastructure and macro-economic environment are the main regulating factors for basic requirements. In addition, developing countries rely more on innovation types that involve technology imports to promote the improvement of GTFP. Finally, in the analysis of regional heterogeneity, we found that the results of the four continents were more consistent with the regression results of the total sample, but the mechanisms of action between regions were different.

Trilemma of capital, urbanization, and renewable energy: contextual evidence from China

In the case of China, there is a need of green energy system to boost growth and environment. However, the current growth of urbanization is putting high pressure on energy system through financial capital. Hence, it is a need to develop such path through renewable energy consumption, capital development, and urbanization to enhance the performance of development and environment. Therefore, this paper contributes to the literature by adding the asymmetries between renewable energy, urbanization, economic growth, and capital investment by covering the period from 1970 to 2021. For this purpose, we apply the nonlinear autoregressive distributed lag model to find the nonlinearities between the variables under study. The findings confirm the asymmetric short- and long-term relationships between the variables. In this sense, capitalization shows the short- and long-term asymmetric impacts on renewable energy consumption. In addition, urbanization and economic growth have long-term asymmetric and positive impacts on renewable energy consumption. At last, this paper provides applicable and practical policy implications for China.

The asymmetric effect of ICT on CO2 emissions in the context of an EKC framework in GCC countries: the role of energy consumption, energy intensity, trade, and financial development

This study examines how "information and communication technology (ICT)" affects carbon dioxide (CO₂) emissions in Gulf Cooperation Council (GCC) nations asymmetrically, controlling energy consumption, its intensity, trade, and financial development following an environmental Kuznets curve (EKC) approach. It employs panel data covering 1995-2019, 2^nd generation unit root, Westerlund cointegration tests, nonlinear pooled mean group (PMG) estimate, and Dumitrescu-Hurlin causality check. The Westerlund test validates a long-run association among variables. The study confirms the EKC proposition for the GCC countries. It reveals that a decrease in CO₂ emissions is associated with both positive and negative parts of ICT and the expansion of financial development. While per capita GDP increases pollution, squared GDP per capita reduces it; energy consumption, intensity, and trade amplify carbon emissions. D-H causality check yields several bidirectional and one-way causalities and verifies the robustness of PMG outcomes. Our findings suggest that promoting ICT becomes one of the critical techniques to decrease CO₂ emissions in GCC nations due to its significant negative influence on CO₂ emissions.

How does financial development influence carbon emission intensity in the OECD countries: Some insights from the information and communication technology perspective

Based on an extended STIRPAT framework, this paper investigates the effects of financial development on carbon emission intensity in OECD countries from linear and non-linear perspectives, where financial development is proxied by three dimensions: financial deepening, financial deepening, and financial size, and financial efficiency. Fortunately, three types of financial development significantly alleviate carbon emission intensity. An extended moderation effect model is built to estimate the effect of financial development via information and communication technology on carbon emission intensity. The results reveal that internet-based information and communication technology and service-based information and communication technology are positively correlated with carbon emission intensity. To effectively handle the endogeneity issue triggered by causal relationships between variables and allow potential non-linear nexus, an advanced dynamic panel threshold model incorporating the generalised method of moments is employed to investigate how financial development affects carbon emission intensity under different types of information and communication technology. Empirical evidence demonstrates the significance of the non-linear nexus between financial development and carbon emission intensity. Lastly, heterogeneity analysis demonstrates the existence of heterogeneity associated with institutional quality, degree of economic development, and resource endowment concerning the effect of financial development on carbon emission intensity among the OECD countries.

Social, economic, and technical factors affecting CO2 emissions in Iran

Most scholars support the increase in carbon dioxide (CO2) emissions as one of the major causes of the increase in global climate change. Therefore, reducing CO2 emissions from the main emitter countries, including Iran as the sixth emitter, is important to deal with the harmful effects of global climate change. Accordingly, the main aim of this paper was to analyze the social, economic, and technical factors affecting CO2 emissions in Iran. Previous studies on diverse variables affecting emissions are not very accurate and reliable as they do not consider indirect effects. This study applied a structural equation model (SEM) to estimate the direct and indirect impacts of factors on the emissions by panel data for 28 provinces of Iran from 2003 to 2019. According to geographical location, three distinct regions, the north, center, and south of Iran were considered. The findings suggest that a 1% increase in social factor directly increased CO2 emissions by 2.23% (in the north) and 1.58% (in the center), but indirectly reduced emissions by 0.41% (in the north) and 0.92% (in the center). Hence, the total effects of the social factor on CO2 emissions were estimated at 1.82%, and 0.66% in the northern, and central regions, respectively. In addition, the total effects of the economic factor on CO2 emissions were estimated at 1.52%, and 0.73% in those regions. The results of this study showed that the direct effects of a technical factor on CO2 emissions were negative in the north and center. However, they were positive in the south of Iran. Based on the empirical results of this study, three policy implications are discussed in order to control CO2 emissions in regional distinctions of Iran as follows: First, policymakers should pay attention to the social factor, i.e., the growth of human capital in the southern region with the aim of increasing sustainable development. Second, Iranian policymakers must prevent unilaterally increasing gross domestic product (GDP) and financial development in the north and center. Third, policymakers should pay attention to the technical factor, i.e., improving energy efficiency, as well as upgrading information and communications technology (ICT) in the northern and central regions, and limiting the technical factor in the southern region.

Industrial co-agglomeration, Internet utilization, and the development of green and low-carbon cycle - based on the empirical study of 41 cities in the Yangtze River Delta of China

The construction of green and low-carbon circular (GLC) development economic system is conducive to the promotion of "carbon peaking and carbon neutral." The level of GLC development in the Yangtze River Delta (YRD) region is related to the realization of the ambitious goal of "carbon peaking and carbon neutrality" in the region. This paper use principal component analysis (PCA) to process GLC development level of 41 cities in the YRD from 2008 to 2020. Then, we constructed panel Tobit model and threshold model from the perspective of industrial co-agglomeration and Internet utilization and empirically tested the influence of the two key variables on GLC development of the YRD. We found that (1) the YRD's level of GLC development showed a dynamic evolution trend of "fluctuation, convergence, and rise." The four provincial-level administrative regions of the YRD are in the order of  GLC development level: Shanghai, Zhejiang, Jiangsu, and Anhui. (2) There is an inverted "U" Kuznets curve (KC) between industrial co-agglomeration and the development of GLC of the YRD. In the left segment of KC, the industrial co-agglomeration promotes GLC development of the YRD. In the right segment of KC, the industrial co-agglomeration inhibits GLC development of the YRD. Internet utilization enhances GLC development of the YRD. And the interaction of industrial co-agglomeration and Internet utilization cannot significantly enhance GLC development. (3) Double-threshold effect of opening-up is manifested as follows: industrial co-agglomeration on GLC development of the YRD goes through an insignificant-inhibited-improved evolutionary trajectory. Single-threshold effect of government intervention is manifested as follows: the impact of Internet utilization on GLC development of the YRD shifts from insignificant role to significant enhancement. In addition, there is an inverted-N type KC effect between industrialization and GLC development. Based on the above findings, we proposed suggestions in terms of industrial co-agglomeration, Internet-like digital technology application, anti-monopoly, and rational industrialization.

Information and communication technology, institutional quality, and environmental sustainability in ASEAN countries

Concerns regarding climate change pollution have remained critical in achieving sustainable development goals. However, countries are still having difficulty reducing environmental deterioration, requiring substantial attention. Hence, this study evaluates the effect of information and communication technology (ICT), institutional quality, economic growth, and energy consumption on ecological footprint under the environment Kuznets curve (EKC) framework in the Association of Southeast Asian Nations (ASEAN) countries from 1990 to 2018. Moreover, this study also checks the impact of an interaction term (ICT and institutional quality) on ecological footprint. We utilized cross-section dependence, cross-section unit root, and Westerlund's cointegration tests for the econometric investigation to check cross-section dependence, stationarity, and cointegration among parameters. For long and short run estimation, we used pooled mean group (PMG) estimator. PMG outcomes demonstrate that the ICT and institutional quality clean the environment by mitigating the ecological footprint. Further, the joint impact of ICT and institutional quality also moderate environmental degradation. Moreover, economic growth and energy consumption increase the ecological footprint. In addition, empirical outcomes also support the presence of the EKC hypothesis in ASEAN countries. The empirical outcomes suggest that environmental sustainability's sustainable development goal can be achieved through ICT innovation and diffusion and by improving the intuitional quality framework.

The role of GICT and environmental regulation in affecting ecological footprint

Research studies have recently diverted attention towards the determinant of ecological footprints, but related issues have not provided consistent results. Based on the IPAT model (environmental impact (I) is decomposed into three elements: population (P), affluence (A, economic growth), and technology level (T)), this paper empirically explores the validity of the green information and communication technology (GICT)-induced environmental Kuznets curve (EKC) hypothesis. The research applies a quantile regression (QR) that tests over 95 countries' panel data for the period 2000-2017 by using six types of ecological footprint (EF) as environmental degradation indicators and environmental regulations (ERs) as interaction variables. We confirm the vital role that GICT plays in lessening cropland, forest area, and grazing land, while increasing its impact on built-up land. Additionally, the findings partially support the existence of an inverted U-shaped GICT-induced environmental EKC hypothesis for a decreasing impact on cropland, forest area, and grazing land via consideration of non-market-based ER as the interaction term. GICT does not notably reduce carbon-absorption land usage; however, improvements of GICT and non-market-based ER in those nations have been accompanied by lower environmental degradation.

Environmental effects of ICT diffusion, energy consumption, financial development, and globalization: panel evidence from SAARC economies

The rising energy demand for information and communication technology (ICT) devices has piqued the interest of scholars and policymakers. Given that ICT devices are ubiquitous, any attempt to mitigate climate change should address the carbon footprint of the ICT sector. The present study examines the direct impact of ICT on the environment and the indirect impact through interaction with energy consumption, financial development, and globalization in SAARC economies from 2000 to 2020. Using econometric approaches robust to cross-sectional dependence, such as the Driscoll-Kraay estimator and the Dumitrescu-Hurlin causality test, the study found that ICT, renewable energy consumption, and globalization significantly reduce CO₂ emission, whereas non-renewable energy consumption and financial development significantly increase emission. However, the interaction between financial development and ICT jointly reduces CO₂ emissions. Similarly, renewable energy and globalization reduce emissions from increased ICT usage. The study also confirms the validity of the environmental Kuznets curve hypothesis for ICT diffusion. The causality test indicates bidirectional causality between ICT and CO₂ emissions. Results suggest that SAARC economies can safely boost ICT and related applications to minimize emissions. They should also use renewable energy and green innovations in telecommunications to reduce their adverse environmental repercussions.

The role of economic growth, information technologies, and globalization in achieving environmental quality: a novel framework for selected Asian countries

This study examines the impact of information and communication technologies (ICT), GDP growth, population, and globalization on the environmental quality of 31 Asian economies (i.e., categorized as lower middle-income, upper middle-income, and high-income groups Asian economies). This analysis employed the time series data from 1990 to 2018. The robust second-generation econometric technologies are used in this analysis. This study applied the Environmental Kuznets curve (EKC) premises under the extended "STIRPAT model" to add population and GDP (per capita) and information technologies (ICTs) by employing ecological footprint. To estimate, the estimators of this study used the CS-ARDL estimates, and for robustness check, this study used the augmented mean group (AMG) test. The co-integration test found the long-run association between ecological footprint and its main determinants. The results of CS-ARDL have confirmed the imperative role of information technologies in mitigating the ecological footprint in the higher, upper-middle, and lower-middle-income economies of Asian economies. The statistical findings of this study are robust to diagnostic tests and alternative estimation proxies and techniques. Moreover, policymakers need to identify the direction of the information technology-ecological footprint nexus through cooperation in combating climate change with financial assistance in the ICT sector.

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.

How does ICT affect the shadow economy towards environmental preservation? Evidence from a panel of developing and developed nations

Despite the increasing size of the shadow economy worldwide, more particularly for developing economies, limited scientific attention has been devoted to exploring its diverse impacts, such as the harmful environmental issues that could arise from informal activities. This study aims to investigate ICT impacts of the shadow sector on the environment using two-step system GMM method for two panels of 57 developing and 34 developed nations, spanning the years from 1998 to 2015. Two measures for the dependent variable are used: CO₂ emissions from transport activity and liquid energy demand. The size of the shadow economy and ICT are used as independent variables. The empirical evidence suggests four main results. First, the shadow economy harms the environment in the context of developed nations; however, it can reduce environmental degradation in developing economies. Second, ICT hurts the environment for all countries except telephone usage, which favors ecological quality in developing economies. Third, the association between ICT and the shadow economy positively affects the environment in developed countries, but it becomes very weak in developing ones. Fourth, the telephone is the most efficient technology for reducing air pollution in developed economies when adopted in the shadow sector. Public policy should encourage the adoption of new technologies in the shadow sector and the regularization of informal activities in developed economies to mitigate carbon emissions.

Asymmetric role of non-renewable energy consumption, ICT, and financial development on ecological footprints: evidence from QARDL approach

This study examines long-term connection and short-term dynamics concerning ecological footprint and six independent variables, named fossil fuel consumption, energy consumption, financial depth, trade, GDP, and ICT for Pakistan's duration from 1960 to 2019. The "QARDL-quantile autoregressive distributed lag" technique is used for time series and panel estimation. The QARDL model exhibits the connection between variables over the quantiles range, reflecting varying stages of Pakistan's ecological footprint. The results exhibit noticeable quantile-varying co-integration connection among ecological footprint and six independent variables. The results accentuate the significant influence of energy consumption, strong financial position, economic growth, and ICT technologies on ecological well-being, which assists in understanding short and long-term impact on the environment in Pakistan.

ICTs, growth, and environmental quality nexus: dynamic panel threshold regression

ICTs (information and communication technologies) have emerged as a potent new force. Digitalization, modernization, and automation of the manufacturing process are expected to facilitate ICT adoption, resulting in increased genuine environmental concerns. This research aims to examine the impact of ICTs on environmental quality and the relationship between ICTs, environmental quality, and economic growth. Dynamic panel threshold regression was employed, and the sample countries comprised 69 developing countries from 2010 to 2019. The threshold technique will identify the precise threshold value of ICTs and highlights the impacts of ICTs on the environmental quality nexus when above and below the threshold value in developing countries. Empirical evidence suggests that ICTs positively impact environmental quality (CO₂) when above the ICTs threshold value. However, ICTs provide a positive but insignificant impact on environmental quality when below the ICTs threshold value of 4.699. Additionally, ICTs affect the economic growth and environmental quality nexus, with increasing economic growth resulting in a decrease in CO₂ emissions in developing countries when ICTs are below the threshold value. Thus, the ICTs threshold value should be used to ensure that ICTs adoption promotes sustainable economic growth and resolves environmental degradation issues in developing nations.

How do information and communication technology and urbanization affect carbon emissions? Evidence from 42 selected "Belt and Road Initiative" countries

Reducing carbon emissions is key to achieving the 13th UN sustainable development goals. With the acceleration of informatization and urbanization in the "Belt and Road Initiative" (BRI) countries, it is necessary to explore the impact of ICT and urbanization on carbon emissions in the BRI countries. This paper uses the Driscoll-Kraay panel regression method, multi-chain mediation effect model, and panel moment quantile regression method to study the influence channel and heterogeneous impact of ICT, urbanization, and their interaction on carbon emissions in 42 selected BRI countries. The main empirical results reveal the inhibition of ICT and the promotion of urbanization on carbon emissions. Moreover, the integrated development of ICT and urbanization contributes to reducing carbon emissions. Industrial structure upgrading and energy intensity are found to be the channels through which ICT, urbanization, and their interactions affect carbon emissions. In addition, the impact of ICT, urbanization, and their interaction on carbon emissions varies with different measurement indicators and quantiles. Therefore, it is suggested that BRI countries should formulate appropriate ICT development policies according to their conditions, strengthen ICT application, and especially promote the integrated development of ICT and urbanization, to achieve sustainable urban development.

How ICT and globalization interact with the environment: a case of the Chinese economy

An era of rapid changes in the technological and economic aspects of developing and developed countries can have detrimental extortions on the environment around the world. From the perspective of globalization, the rapid development and growth can reroute to enhance the interaction between people, organizations, and countries across the globe including China through the usage of information and communication technology which in turn contributes to the economic growth of one side, whereas on the other side, it affects the environmental quality. Referring to this aspect, this study is focused to inspect the link between information and communication technology, and globalization with the facets of degradation in the environment that as CO₂ emission and ecological footprint by keeping the view of economic growth prospects as well via using the EKC hypothesis. In our study, time-series data was employed from 1987 to 2020 for China using the Dynamic ARDL approach. Grounded on the findings of the study, economic growth from the sight of GDP fallouts in rising the emission of CO₂ and EFP in the short and long run whereas GDP sqr cause decrease in the CO₂ emission and EFP. Thus, this authorizes the presence of inverted U-shaped existence among GDP sqr, CO₂ emission, and EFP. Therefore, this provides provision for the EKC hypothesis in China. Furthermore, ICT and globalization cause a decline in the emission of CO₂ and EFP in the short and long run respectively. In combatting challenges linked to the environment, globalization, as well as ICT, is seen as a crucial factor based on the pieces of evidence in our study while the policy implications are also proposed in the paper.

The productive capacity and environment: evidence from OECD countries

Environmental degradation is one of the most important and vital issues of today. In this context, many researchers are testing the environmental impact of different indicators. Many economic parameters affect environmental degradation. At the forefront of these parameters is the productive economic structures of the countries. For the first time in the literature, the present paper discusses the dynamic relationship between carbon dioxide (CO₂) emissions, economic growth, and the productive capacity index (PCI) for a panel of 38 organization for economic co-operation and development (OECD) countries spanning the period 2000-2018. In this context, the PCI serves as a measure of the productive economic structure of a country. This empirical study applies panel cointegration techniques to reveal that the series are cointegrated in the long-run. In addition, the pooled mean group-panel autoregressive distributive lag (PMG-ARDL) approach is employed to estimate long-run coefficients. These coefficients confirm the environmental Kuznets curve hypothesis. Finally, the empirical findings confirm that improved productive capacity decreases environmental degradation. This results in important policy recommendations for involved governmental and private stakeholders.

Multiple effects of ICT investment on carbon emissions: evidence from China

Little research has been conducted on the multiple possible future environmental effects of different types of information and communication technology (ICT) investment. This paper innovatively calculates the ICT productive capital stock (PCS) in China from 2007 to 2018 and explores the multiple effects of ICT PCS on carbon emissions. The results show that (1) ICT PCS is conducive to carbon emission reduction; furthermore, ICT software PCS has a significant carbon emission reduction effect, while ICT hardware PCS has the opposite outcome. (2) The spatial effect demonstrates that ICT and its hardware and software PCS can significantly reduce carbon emissions in surrounding areas. (3) The ICT PCS indirectly affects carbon emissions through the digital economy and energy efficiency, but the role of the influence mechanism varies according to the type of ICT PCS. (4) There is a nonlinear relationship between all ICT PCS and carbon emissions due to differences in green productivity and ICT PCS levels. Finally, this study provides valuable references for optimizing ICT investment and promoting low-carbon development.

The effects of ICT and FDI on CO2 emissions in China

With the rapid development of information and communication technology (ICT) and counter-cyclical expansion of foreign direct investment (FDI), most foreign-invested companies in China are highly polluting. Meanwhile, new research shows that the impact of ICT on the environment is uncertain. This study is an effort in dividing ICT into hardware and software, aiming to explore its effects on carbon (CO₂) emissions from 2003 to 2017 in 31 provinces, autonomous regions, and municipalities in China and further explore the impacts of its application to foreign-invested enterprises on environmental quality. The findings show that ICT software has a significant negative effect on CO₂ emissions, but ICT hardware and FDI have significant positive effects on CO₂ emissions. However, when ICT software and hardware are applied to foreign-invested enterprises, they can significantly improve the environmental quality. Moreover, the durative innovation of ICT software ensures environmental sustainability. A set of government measures are published to help stimulate the positive effect of ICT software on CO₂ emissions, such as taxes and fees cuts, and no-interest loans. This could provide guidelines for other countries.

Internet Development, Consumption Upgrading and Carbon Emissions-An Empirical Study from China

Internet development has changed Chinese people's consumption behavior, gradually expanding from survival consumption (SC) to development and enjoyment consumption (DEC) trends. Consumption is the new engine driving China's economic growth and the terminal of carbon emissions. Simultaneously, China is undergoing a profound change toward the "double carbon" goal, the space for carbon emission reduction in traditional fields is gradually compressed. Therefore, it is necessary to explore carbon emissions from the perspective of consumption terminals. Based on provincial panel data, we use the fixed effects model and mediating effects model to explore the relationship between Internet development, consumption upgrading, and carbon emissions in a unified research framework. The findings show that: (1) Internet development leads to an increase in carbon emissions. A finding remains significant after using instrumental variables to mitigate endogeneity; (2) Internet development promotes consumption upgrading, reflected in development and enjoyment consumption expenditure; (3) Internet development contributes to increasing carbon emissions through consumption upgrading. Heterogeneity analysis shows that Internet development in eastern China significantly contributes to carbon emissions through consumption upgrading, while it is insignificant in central and western regions. The Internet development leading region contributes to an increase in carbon emissions through consumption upgrading. In comparison, the lagging region is insignificant. This study can provide a reference for policymakers in China or other countries to formulate energy-saving and emission-reduction policies in the Internet industry and provide a scientific basis for advocating people's low-carbon consumption behavior and achieving carbon emission reduction at the consumption terminal.

Digital economy, energy efficiency, and carbon emissions: Evidence from provincial panel data in China

Improving energy efficiency and lowering carbon emissions are of great importance to realize the "dual carbon" goal of carbon peak and carbon neutrality. Digital economy is a new engine of economic development, but whether or how it affects energy efficiency and carbon emissions are unclear. Utilizing panel data of China's 30 provinces from 2012 to 2019, this study empirically explores the relationships among digital economy, energy efficiency, and carbon emissions. Meanwhile, from the perspective of energy efficiency, applying mediation models and panel threshold model, it analyzes the direct, indirect, and nonlinear influencing mechanisms of digital economy on carbon emissions. The results reflect that the development of digital economy in China intensifies carbon emissions. Energy efficiency serves as a vital partial mediator between the two. The enhancement of energy efficiency can lower carbon emissions. However, the development of digital economy is not conducive to improving energy efficiency, thereby, indirectly increasing carbon emissions. The mediating effect of energy efficiency accounts for 30.58 % of the total effect of digital economy on carbon emissions. Meanwhile, taking energy efficiency into account, the impact of digital economy on carbon emissions has a significant double-threshold effect and presents an N-shaped trend. [0.824, 0.912] is the optimal range of energy efficiency, within which the growth of the digital economy can empower carbon emission abatement to some extent. In addition, the expansion of population size, the coal-based energy consumption structure, and the industrial structure significantly increase carbon emissions. The improvements in living standards and environmental regulations can help to decrease carbon emissions, but the emission abatement effects are not significant. Those conclusions reveal the importance of optimizing the level and quality of digital economy and adopting differentiated digital economy development policies based on energy efficiency to achieve carbon emission reduction.

Impact of Internet Development on Carbon Emissions in Jiangsu, China

Based on STIRPAT and panel threshold models, this study empirically tested the impact of Internet development on carbon emissions using panel data of Jiangsu Province from 2007 to 2020. The results showed that the carbon emissions intensity of the Internet development level had a significant promotion effect, while the carbon emissions intensity of technological progress showed a significant inhibition effect, but this inhibition effect is less than the promotion effect brought about by internet development. Considering the threshold effect, the development of the Internet had a double-threshold effect on carbon emissions in northern and central Jiangsu. Jiangsu Province should further accelerate the pace of Internet development and cross the threshold value as soon as possible. Finally, this study constructed a prediction model of emissions reduction to predict the future emissions reduction potential of Jiangsu Province and found that there was still much room for improvement regarding carbon emissions reduction in Jiangsu Province.

Inspecting the influence of renewable energy and R&D in defending environmental quality: evidence for California

The United Nations's Sustainable Development Goals (SDGs) is international cooperation that aims to climate change mitigation, and encourage the use of clean energy. Investing in green technology to reduce carbon dioxide (CO₂) emissions is among the most important objective of the SDGs. As the USA is part of this collaboration, the present study tries to examine the progress of one State to meet the Global Goals. This paper uses the autoregressive distributed lags (ARDLs) approach and Granger causality test to evaluate the dynamic relationships uniting gross domestic product (GDP), CO₂ emissions, renewable energy consumption (REC), and research and development (R&D) for the California State over the period 1987-2017. The outcome of the econometric analysis proved that REC affects CO₂ emissions in the short run, and vice versa. In addition, a bidirectional relationship is detected between GDP and R&D and CO₂ emissions and REC Granger causes GDP. In the long run, REC, R&D, and GDP Granger cause CO₂ emissions, while REC, R&D, and CO₂ emissions Granger cause GDP. We also found a bidirectional causality linking CO₂ emissions and GDP. The long-run elasticities show that R&D and GDP impact positively CO₂ emissions whereas REC affects it. Thus, R&D increases pollution but REC reduces it. Environmental degradation is perhaps related to the excessive consumption of fossil energy in most activities. California is advised to enhance the effort to meet the SDGs. Encouraging R&D of low carbon technologies and applying several taxations for non-renewable fuel adoption may also constitute a useful strategy to protect the environment.