Decomposition analysis of electricity generation on carbon dioxide emissions in Ghana

This study analyses the factors driving CO2 emissions from electricity generation in Ghana from 1990 to 2020. Employing Logarithmic Mean Divisia Index (LMDI) and Autoregressive Distributed Lag (ARDL) techniques, the research decomposes electricity generation into different factors and assesses their impact on CO2 emissions, considering both short and long-run effects. The LMDI analysis reveals that the total CO2 emissions from electricity generation amount to 3.33%, with all factors contributing positively in each subperiod. Notably, fossil fuel intensity, production, and transformation factors exhibit substantial contributions of about 1.16%, 0.49%, and 0.48%, respectively. Contrastingly, the ARDL results highlight that only electricity intensity and production factors significantly increase CO2 emissions by about 0.20% and 0.09% (0.38% and 0.10%) in the short-run (long-run), while other factors contribute to a reduction in electricity generation emissions. Overall, we conclude that electricity intensity and production factors are the primary drivers of CO2 emissions from electricity generation in Ghana. Nevertheless, effective measures to address all decomposition factors is crucial for effective mitigation of electricity generation CO2 emissions.

Towards the prospect of carbon-neutral power system 2060: A Power-Meteorology-Society systematic view

With the target of achieving carbon peaking and neutrality in the power sector in China, both State Grid and China Southern Power Grid have made plans of a rapid increase of renewables in future years towards 2060. However, considering the interactions between the power system and meteorological, society factors, whether those plans would lead to CO2 emission peak in 2030 and carbon neutrality in 2060 is still questionable and needs further analysis. Therefore, a Power-Meteorology-Society System is formulated and interactions between these factors will impact the CO2 emission of the power system is studied. Case study shows that these environmental, social factors as well as their interactions will have significant negative impact to the CO2 emission reduction in China's power grid; With current trend of generation and transmission development and higher-than-expected CO2 emission, while the grid could still reach its target of carbon peak in 2030, there will be some challenge for the grid to reach carbon neutrality in the year 2060. Based on that, the authors analyze some potential solutions such as transmission construction, energy storage and the Carbon Capture, Utilization and Storage (CCUS), and try to find a relatively cost-benefit path to reach carbon-neutrality for the grid in 2060.

Integrated water management practice in tropical peatland agriculture has low carbon emissions and subsidence rates

Hydrological management in the use of peatland for agriculture is the backbone of its sustainability and a critical factor in climate change mitigation. This study evaluates the application of an integrated water management practice known as the "Water Management Trinity" (WMT), implemented since 1986 on a coconut plantation on the eastern coast of Sumatra, in relation to CO2 emissions and subsidence rates. The WMT integrates canals, dikes, and dams with water gates to regulate water levels for both coconut agronomy and the preservation of the peat soil. The WMT has successfully regulated and maintained an average yearly water table depth of -45 to -51 cm below the surface. The methodology involved a closed chamber method for measuring soil CO2 flux using a portable Infrared Gas Analyzer, conducted weekly over a six-month period to cover dry and rainy season at bi-modal climate condition. Subsidence measurements have been ongoing from 1986 to 2022. The results show bare peat soil has heterotrophic respiration CO2 emissions of 7.77 t C-CO2 ha-1 yr-1, while in coconut plantations 7.99 t C-CO2 ha-1 yr-1, similar to emissions in mineral soils. Autotrophic respiration leads to the overestimation of CO2 emissions on peatland and accounts for 212-424% of the total emissions. The cumulative subsidence from 1986 to 2022 is -56.3 cm, with a soil rise of +0.8 cm in 2022, indicating a flattening rate of subsidence. This is characterized by an increase in bulk density at the surface from 0.072 to 0.144 gr/cm3, with approximately 81% of the subsidence being due to compaction. The statistical analysis found no relationship between water table depth and CO2 emissions, indicating that water table depth cannot be used as a predictor for CO2 emissions. In summary, peatland agriculture has a promising future when managed sustainably using an integrated hydrological management system.

Investigating the potential of nanobonechar toward climate-smart agriculture

Extreme climates and the unpredictability of the weather are significant obstacles to agricultural productivity. This study is the first attempt to explore the capacity of nanobonechar (NBC) for promoting climate-smart agriculture. A pot experiment was performed on maize (Zea mays L.) under a deficit irrigation system (40, 70, and 100% irrigation rates) using different soil application rates of the NBC (0, 0.5, 1, and 2% wt/wt). Additionally, the CO2-C efflux rate and cumulative CO2-C were measured in an incubation experiment. The results indicated the best performance of the 1% NBC treatment under a 70% irrigation rate in terms of the fresh and dry weights of maize plants. Total PO43- and Ca2+ were significantly higher in the plants grown in the NBC-amended soil as compared to the control, showing a gradual increase with an increase in the NBC application rate. The improved productivity of maize plants under a deficit irrigation system was associated with enhanced water-holding capacity, organic matter, and bioavailability of cations (Ca2+, K+, and Na+) and anions (PO43- and NO3-) in the soils amended with NBC. The CO2-C efflux rate and cumulative CO2-C emissions remain higher in the NBC-amended soil than in the un-amended soil, pertaining to the high contents of soil organic matter emanating from the NBC. We conclude that NBC could potentially be used as a soil amendment for promoting maize growth under a water stress condition.

Inorganic carbon is overlooked in global soil carbon research: A bibliometric analysis

Soils are a major player in the global carbon (C) cycle and climate change by functioning as a sink or a source of atmospheric carbon dioxide (CO2). The largest terrestrial C reservoir in soils comprises two main pools: organic (SOC) and inorganic C (SIC), each having distinct fates and functions but with a large disparity in global research attention. This study quantified global soil C research trends and the proportional focus on SOC and SIC pools based on a bibliometric analysis and raise the importance of SIC pools fully underrepresented in research, applications, and modeling. Studies on soil C pools started in 1905 and has produced over 47,000 publications (>1.7 million citations). Although the global C stocks down to 2 m depth are nearly the same for SOC and SIC, the research has dominantly examined SOC (>96 % of publications and citations) with a minimal share on SIC (<4%). Approximately 40 % of the soil C research was related to climate change. Despite poor coverage and publications, the climate change-related research impact (citations per document) of SIC studies was higher than that of SOC. Mineral associated organic carbon, machine learning, soil health, and biochar were the recent top trend topics for SOC research (2020-2023), whereas digital soil mapping, soil properties, soil acidification, and calcite were recent top trend topics for SIC. SOC research was contributed by 151 countries compared to 88 for SIC. As assessed by publications, soil C research was mainly concentrated in a few countries, with only 9 countries accounting for 70 % of the research. China and the USA were the major producers (45 %), collaborators (37 %), and funders of soil C research. SIC is a long-lived soil C pool with a turnover rate (leaching and recrystallization) of more than 1000 years in natural ecosystems, but intensive agricultural practices have accelerated SIC losses, making SIC an important player in global C cycle and climate change. The lack of attention and investment towards SIC research could jeopardize the ongoing efforts to mitigate climate change impacts to meet the 1.5-2.0 °C targets under the Paris Climate Agreement of 2015. This bibliographic study calls to expand the research focus on SIC and including SIC fluxes in C budgets and models, without which the representation of the global C cycle is incomplete.

Financial efficiency and CO2 emission in BRICS. Dose digital economy development matter?

When it comes to the environmental costs, environmental economists have tried to study the effects of the foreign direct investment-growth nexus, but they have ignored the crucial role that financial development and technical innovation play. Massive increases in energy consumption have contributed to environmental degradation in the BRICS nations, which have experienced rapid IND due to their robust economies. This study uses data from 1990 to 2021 to examine the relationship between carbon emissions in BRICS member nations and factors such as FDI, technological innovation, and economic growth. Within the panel nations, the results confirm a high cross-sectional reliance. The BRICS countries' financial development, technological innovation, and foreign direct investment all have a negative and statistically significant long-run association with CO2 emissions, according to the Augmented Mean Group (AMG) estimator. On the other hand, economic growth, TI, IND, and energy use all have positive and statistically significant associations with carbon emissions. This study's researchers choose to use the Dumitrescu and Hurlin panel causality test to look at the other way around. Economic growth (EG), Digital economic growth (DEG), Financial efficiency (FE), CO2 emissions (CO2), Industrialization (IND), Technological Innovation (TI), Foreign direct investment (FDI) and Inflation are all identified as having a bidirectional long-run causative relationship. In contrast, a unidirectional causal relationship is observed between FDI and CO2 emissions. To entice high-quality FDI, the BRICS member nations must advance their industries, financial institutions, and technological innovation. In addition, these nations need immediate legislative solutions because IND is a major cause of environmental damage.

Sustainable wind energy potential in Sandwip and Kalapara coastal regions of Bangladesh: A way of reducing carbon dioxide emissions

An enormous amount of power is required in a rising nation like Bangladesh, where achieving economic growth without endangering the environment is a burning issue. The majority of people who live in coastal areas of Bangladesh do not have sufficient access to electricity. There are almost 40 million people living along Bangladesh's 724-km shoreline. Furthermore, it is remarkable that coastal regions have year-round winds, strong enough to generate enormous amounts of power. The viability and promise of wind energy in Bangladesh's southern regions are highlighted in this study. The places demonstrate the possibility for cheaper power production at 30 m-40 m altitudes. The rate of electricity does, however, rise with height. The main objective of this study is to analyze the prospect of wind energy in Sandwip and Kalapara coastal areas of Bangladesh. The data from 1990 to 2020 was taken from the database from the Bangladesh Meteorological Department (BMD) and NASA's NREL (National Renewable Energy Laboratory). These data sources were used to determine the wind power density, wind power output, energy yield, and finally estimate the CO2 emission reduction. In this paper, a novel approach to the wind energy on selected coastal area is presented and realistic calculation of energy output is carried out of the planned wind system. Finally calculated the realistic CO2 emission reduction by using this approach for a sustainable future. Estimation reveals that about 162.43 GWh of electricity can be generated annually by installing 684 wind towers on southern Kalapara (Khepupara) area and about 257.25 GWh of electricity can be generated annually by installing 1024 wind tower on the periphery of Sandwip area. So, if 1,768 wind turbines are installed on the Sandwip and Kalapara coastal region instead of burning fossil fuels, about 1,11,373.29 tons of CO2 will be prevented from being emitted annually.

Exploring the optimal threshold of FDI inflows for carbon-neutral growth in Africa

This study investigates the relationship between foreign direct investment (FDI) and CO2 emissions in Africa, primarily emphasizing carbon-neutral growth. Employing advanced econometric methods like the Generalized Method of Moments (GMM), fixed effect, and Two-Stage Least Squares (2SLS), we identify critical threshold values for key variables, including economic growth, trade openness, human capital, financial development, inflation, and population growth. Our findings indicate that GDP significantly influences the FDI-CO2 emissions relationship as economies expand, shifting from negative to positive, potentially leading to increased carbon emissions. Higher trade-to-GDP ratios are associated with reduced CO2 emissions due to cleaner technologies and greener production practices. Additionally, financial development plays a pivotal role, enabling investment in sustainable technologies. Nations with a more skilled workforce are more likely to adopt sustainable practices. The influence of population growth on CO2 emissions is complex, balancing increased demand with investments in clean technologies. The study recommends that African policymakers prioritize FDI aligned with carbon-neutral growth by promoting sustainability, investing in human capital, and carefully balancing population growth with sustainability.

Life cycle assessment of integrated microalgae oil production in Bojongsoang Wastewater Treatment Plant, Indonesia

This study aims to determine the eco-friendliness of microalgae-based renewable energy production in several scenarios based on life cycle assessment (LCA). The LCA provides critical data for sustainable decision-making and energy requirement analysis, including net energy ratio (NER) and cumulative energy demand (CED). The Centrum voor Milieuwetenschappen Leiden (CML) IA-Baseline was used on environmental impact assessment method by SimaPro v9.3.0.3® software and energy analysis of biofuel production using native polyculture microalgae biomass in municipal wastewater treatment plants (WWTP) Bojongsoang, Bandung, Indonesia. The study was analyzed under three scenarios: (1) the current scenario; (2) the algae scenario without waste heat and carbon dioxide (CO2); and (3) the algae scenario with waste heat and carbon dioxide (CO2). Waste heat and CO2 were obtained from an industrial zone near the WWTP. The results disclosed that the microalgae scenario with waste heat and CO2 utilization is the most promising scenario with the lowest environmental impact (- 0.139 kg CO2eq/MJ), positive energy balance of 1.23 MJ/m3 wastewater (NER > 1), and lower CED value across various impact categories. It indicates that utilizing the waste heat and CO2 has a positive impact on energy efficiency. Based on the environmental impact, NER and CED values, this study suggests that the microalgae scenario with waste heat and CO2 is more feasible and sustainable to adopt and could be implemented at the Bojongsoang WWTP.

Forecasting the energy demand and CO2 emissions of industrial sectors in China's Beijing-Tianjin-Hebei region under energy transition

As the world's greatest energy consumer, China's energy consumption and transition have become a focus of attention. The most significant location for regional integration in the north of China is the Beijing-Tianjin-Hebei region, where the industrial sector dominates its energy consumption. Forecasting the energy demand and structure of industrial sectors in China's Beijing-Tianjin-Hebei region may help to promote the energy transition and CO2 emission mitigation. This study conducts a model based on the year 2020 using the Long-Range Energy Alternatives Planning System (LEAP) software and sets two scenarios (baseline scenario and emission peak scenario) to forecast the future energy demand and CO2 emissions of industrial sectors in China's Beijing-Tianjin-Hebei region until the year 2035. Moreover, the industrial sectors are classified into traditional high-energy-consuming industries, emerging manufacturing industries, daily-related light industries, and other industries. The forecasting results show that (1) The industrial energy demand of the entire Beijing-Tianjin-Hebei region will grow from 234 Mtce in 2020 to 317 Mtce in 2035, and the corresponding energy structure will shift from coal-based to electricity-based; (2) at the provincial level, all three provinces will experience an increase in industrial energy demand between 2020 and 2035, with Hebei experiencing the fastest average annual growth rate of 2.18% and the largest share of over 80%, and Beijing experiencing the highest average annual electrification rate of 70%; (3) at the industrial sector level, the electricity and natural gas will gradually replace other energy sources as the main energy source for industry. The most representative industrial sub-sector in Beijing, Tianjin, and Hebei provinces are all traditional high-energy-consuming industries, which will account for more than 90% of the total energy demand in both Tianjin and Hebei by 2035.

Quantile-based assessment of energy-CO2 emission nexus in Pakistan

Nonrenewable energy sources maintain a substantial majority of Pakistan's energy composition, exceeding 70%, posing challenges to achieving sustainability goals for a low-carbon economy. Recognizing this, the study determines the critical thresholds where renewable and nonrenewable energies affect more significantly on CO2 emission over the period from 1972Q1 to 2020Q4. The analysis begins by confirming the stationarity of the data through quantile unit root analysis, followed by an examination of long-term associations using quantile cointegration. For quantile-based impact assessments, we apply quantile regression. To uncover the direction of causality within quantiles, we use a novel approach, quantile causality analysis. Nonrenewable energy sources exhibit a long-term association at disaggregated levels, whereas the same is not true for renewable energy across the quantile distribution. Quantile regression results reveal that renewable energy sources positively impact CO2 emissions, with coal having the highest coefficient, followed by oil and gas, particularly in the upper quantiles, τ = {0.70-0.75}. However, renewable energy sources prove insignificant in decreasing CO2 emissions. Similarly, total energy consumption has a positive influence on CO2 emissions at extremely low quantiles, τ = {0.05-0.30} and high quantiles, τ = {0.65-0.90}, indicating sensitivity to extreme variations. The quantile causality analysis highlights a bidirectional causality relationship among CO2 emissions, total energy consumption, and both renewable and nonrenewable energy consumption across lower and upper quantiles. Policymakers should reallocate funds, provide subsidies, and introduce infrastructure development projects to reduce the burden on nonrenewable energy sources based on this quantile analysis.

How to systematically reduce the carbon emissions of the manufacturing industry? Evidence from four-party evolutionary game analysis

To effectively reduce carbon emissions from the manufacturing industry and promote green and sustainable developments evolutionary game theory is widely used. This study has constructed a four-party evolutionary game model, in which the government, civil environmental protection organisations, manufacturing enterprises, and consumers participate. A local robustness analysis and numerical simulation were used to assess the stability conditions under which the strategic behaviour of the four parties reaches an ideal state, and the influence of government parameter changes on the game system were further analysed. The results show that when the government's penalty is greater, the decision-making time of civil environmental protection organisations and manufacturing enterprises is shortened to varying degrees. When the subsidy coefficient provided by the government increases, civil environmental protection organisations, manufacturing enterprises, and consumers can reduce the time required for the system to stabilise to varying degrees. As the subsidy coefficient increases, the government's strategic choice evolves and strict regulations are loosened. The government should thus actively establish a reward and penalty mechanism, according to its own actual situation, set reasonable punishment and subsidy coefficients, and actively guide the subjective initiative of civil environmental protection organisations to reduce carbon emissions in the manufacturing industry.

An investigation of the nexus between green innovation and environmental sustainability in Vietnam: new evidence from the wavelet analysis

The research investigates the interactions between ecological sustainability and green technologies in Vietnam at different time and frequency dimensions from 1992 to 2019. This study investigates these correlations and their frequency domains by employing innovative multivariate wavelet analysis techniques. The multiple coherencies between green technologies and ecological sustainability suggest one cycle was placed at low frequencies (periodicity of approximately 5-14 years) and spanned from 1996 to 1998. Two significant coexisted cycles at low frequencies were from 2001 to 2004 and 2001 to 2009. The three additional cycles were situated at high frequencies (periodicity of approximately 1-5 years). These cycles ran from 2004 to 2006, 2014 to 2016, and another cycle from 2017 to 2019. The partial wavelet coherency of green technology growth and CO2 emissions suggests that green technology causes alterations in CO2 emissions, and the association is negative from 1996 to 2003 and from 2012 and 2015; both indications are in sync. CO2 emissions pushed from 2004 to 2010, and CO2 emissions pushed anti-phase connectedness from 2016 to 2019. The inconsistency between green technologies and renewable energy use shows that changes in renewable energy consumption are caused by green technology. The relationship is negative from 1996 to 2003, while renewable energy utilization is in step with green technologies pushing from 2011 to 2019. Novel findings in Vietnam in this paper is vital for policymakers to design policies to promote the use of green technologies toward environmental sustainability.

Beef Toughness and the Amount of Greenhouse Gas Emissions as a Function of Localized Electrical Stimulation

This study investigated the effect of localized electrical stimulation on Hanwoo beef quality. It focused on the chemical and physical properties of the Longissimus thoracis (LT) and Biceps femoris (BF) muscles, and it explored the implications of carbon dioxide (CO2) reduction achieved by accelerating tenderization via localized electrical stimulation. The results show that the application of localized electrical stimulation (45 V) had no significant impact on the TBARS (thiobarbituric acid reactive substances) of either the LT muscle or the BF muscle. Localized electrical stimulation and aging treatments had a significant effect on meat tenderness in the LT and BF muscles, but there was no interactive effect. In particular, the WBsf (Warnar-Bratzler shear force) at 2 days of aging of the electrically stimulated BF muscle was 5.35 kg, which was lower than that of the control group (5.58 kg) after 14 days of aging; however, the effect of WBsf reduction due to aging in the LT muscle was higher than the localized electrical stimulation effect. Estimating CO2 mitigation from a shorter feeding period for Hanwoo steers from 31 months to 26 months may reduce 1.04 kg of CO2-eq emissions associated with the production of a single kilogram of trimmed beef. In conclusion, localized electrical stimulation improved the tenderness of Hanwoo beef and reduced CO2 emissions.

Does digital economy development matter? Role of supply chain management and CO2 emissions in BRICS

Large risks and opportunities arise for production operations as a result of international governmental initiatives to limit carbon emissions. In instance, high-emitting manufacturing processes may be a reflection of productive inefficiencies and the uncertainty of the prices of carbon dioxide emissions. Recently, there has been a lot of attention paid to the topic of ecologically responsible supply chain management. Therefore, participants in the supply chain have worked together to create effective contracts, often known as green supply chain management contracts. In order to demonstrate the key role of financial efficiency, environmental sustainability, and supply chain management in sustainable growth and digital technology development, this study considers the data for BRICS economies over the period of 2008-2022. However, under the supply chain management, this study considers the innovation efficiency, input, and output to evaluate the external determinants. However, this study employs the OLS, 2SLS, and AMG estimator to demonstrate the robust and reliable outcomes for selected economies. In compile words, this study divides empirical scheme into two different explained variables such as sustainable growth and development of digital technologies. However, to show empirical scheme very catchy, the present study uses the simultaneous equation models. Therefore, all selected indicators of sustainable growth contribute to economic growth efficiently except the foreign direct investment. Besides for the digital technology development, all factors significantly contribute to digital technologies except the carbon emissions and foreign direct investment. Additional robust tests confirm the consistency and stability of the findings reached in this research. Thus, to improve economic performance, digital economy development, and sustainability, authorities in BRICS areas should develop strategies that enhance digital economy development under the green supply chain management.

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 corporate organizational identity, environmental project complexity and environmental project effort matter for project success?

The challenge of achieving success in environmental projects persists for many organizations, and the reasons behind it are unclear. This study is aimed at investigating such reasons by testing the impact of corporate environmental identity, project complexity, and environmental intensity on environmental project success. The study seeks to provide practical recommendations to organizations to enhance their efforts to reduce environmental pollution. The study obtained data from sixteen experts of environmental project managers and applied the fuzzy AHP, fuzzy hierarchical models, and fuzzy TOPSIS techniques for empirical findings. The findings show that organizational identity for the environment and environment project complexity are the key triggers for the success of the environment in the Chinese context. Moreover, it is discovered that team functional diversity is critical to team absorptive capability. This research identified links that offer managers information on prospective selection and project improvement models, with enhanced capacity in leadership dimensions leading to increased project management success. The study also suggested several implications for environmental project success and developing pro-environmental behavior among project managers.

Decomposed and partial connectedness between economic globalization, non-renewable and renewable energy consumption in Vietnam

In this study, we use a time-varying parameter vector autoregression (TVP-VAR) in conjunction with the extended joint connectedness approach to examine the influences of the economic globalization measured by foreign direct investment (FDI) as well as trade openness (TO), on renewable and non-renewable energy consumption, by characterizing the connectedness of these variables, from 1987 to 2020 in Vietnam. Our results demonstrate that abolishing the state monopoly in foreign trade influences the system-wide dynamic connectedness of trade openness, which peaked in 1989. Net total directional connectedness of FDI and energy consumption suggests that both the consumption of renewable and non-renewable energy consistently act as net contagion shock receivers, and FDI is a critical net transmitter the whole time. Trade openness behaves consistently as a critical net shock transmitter in 1989 but turned into an essential net receiver from 1990 to 2020. In a system with trade openness, the consumption of non-renewable energy consistently acts as a net contagion shock receiver, and renewable energy consumption is a critical net transmitter in the whole sample. Pairwise connectedness reveals that FDI consistently appears as a shock transmitter to renewable and non-renewable energy consumption. Trade openness could be either a transmitter or a receiver of shock from non-renewable energy, depending on the period, and is a net receiver of shocks from renewable energy consumption during our sample. The findings of this paper are critical for Vietnam's government to make a greater contribution to the expansion of global commerce and a sustainable environment.

Introducing new green machining technology to enhance process performance and reduce environmental pollution in the metal processing industry

The pursuit of enhanced cooling and lubrication methods for machining processes that are energy-efficient, environmentally friendly, and cost-effective is receiving significant attention from both academia and industry. The reduction of CO2 emissions is closely tied to electrical and embodied energy consumption. This study introduces a novel LN2 oil-on-water (LNOoW) cooling/lubrication (lubricooling) approach for the machining of Ti-6Al-4V alloy. Machinability aspects, energy-related aspects, environmental-related aspects, and economic aspects are measured and compared. More specifically, surface quality, electrical energy, cutting forces, and tool wear were measured in machinability aspects. Similarly, specific total energy and specific cumulative Energy Demand (S_CED), specific carbon emission, and production costs were measured to investigate the energy and environmental and economic aspects, respectively. The LNOoW provided the best machinability results compared with other approaches. Result found that LNOoW produced 37.5% better surface quality, removed 159.17% more material, and reduced 50.56% specific cutting energy and 53.63% specific costs as compared to traditional dry cutting conditions. The 39% increment in specific carbon emissions observed in the LN2 oil-on-water (LNOoW) approach in comparison to the dry-cutting method can be mitigated through the implementation of sustainable practices in the production of liquid nitrogen (LN2). The information provided in this study serves as a valuable resource for the development of environmentally friendly machining processes. The study also helps get the sustainable development goals (SDGs) of the United Nations.

Eco-innovations, green growth, and environmental taxes in EU countries: a panel quantile regression approach

The purpose of this study is to examine how environmental taxation, green growth, and eco-innovations contribute to a more sustainable environment. This study examines the influence of green growth, environmental taxes, and eco-innovations on carbon dioxide emissions in 26 environmentally responsive European Union (EU) countries from 2000 to 2020. The analysis was conducted using the second-generation panel unit root test, cross-sectional dependence, panel cointegration, and panel quantile regression. Theoretical and empirical research has demonstrated that both linear and non-linear green growth strategies are effective in reducing CO2 emissions. There is evidence that CO2 emissions can be reduced through the implementation of environmental taxes, eco-innovations, the use of renewable energy sources, and enhanced energy efficiency. In contrast, economic growth has a positive effect on carbon emissions, and its square term verifies the environmental Kuznets curve. Nevertheless, our research findings provide empirical support for the hypothesis that sustainable development contributes to the maintenance of stringent environmental standards. For the sampled countries, the study's findings have significant policy implications. These results encourage governments to prioritize green growth over traditional economic growth and to encourage eco-innovations in renewable energy technology.

Analysis of energy-related CO2 emissions in Pakistan: carbon source and carbon damage decomposition analysis

Carbon dioxide emissions (CO2es) are presently a hot topic of worldwide concern. It is of great significance for lessening CO2es to wholly understand the transformation pattern of CO2es among countries, industries, and the main factors (i.e., emission effect, energy intensity, economic development, population size, carbon per unit of land, land per capita, and environmental impact per capita effects) influencing CO2es. Thus, to mitigate the country's CO2es efficiently, it is necessary to determine the driving factors of its emissions and damage variations. For this, we use the logarithmic mean Divisia index method. This research decomposes the major two dimensions, such as carbon sources and carbon damage variations from 1986 to 2020, into eight factors. The results show that Pakistan's CO2es increased continuously during the period, with an average annual growth rate of 4.76%. Growing the country's CO2es over 1986-2020, the key influencing factors are economic development, population, and land, while energy intensity and emission factors are the main forces in mitigating CO2es. The carbon source and carbon damage dimensions reached 68.75 Mt and 208.56 Mt, respectively, which led to a rise in CO2e. The entire set of factors is averagely moving around the major outcomes that provide significant policy measures. Finally, to efficiently reduce CO2e, Pakistan should concentrate on specific industrial paths and implement challenging, comprehensive governance to attain a low-carbon chain throughout the process. Thus, based on empirical results, this research put forward policy suggestions for cleaner production to reduce CO2 emissions further, and environmental policies must be tailored to local conditions.

From growth to sustainability: investigating N-shaped EKC and the role of energy productivity, technological advancement, and human capital in OECD economies

Environmental degradation rates have been on a concerning upward trajectory in recent decades, directly threatening the well-being of global populations. Responding to this urgent matter, scholars have been driven to explore its nuances, particularly emphasizing lowering energy consumption and carbon emissions amidst the growing demands of growing economies. Achieving the targets outlined in the 2015 Paris Climate Agreement has also become a priority for many countries. Therefore, this study scrutinizes the Environmental Kuznets Curve (EKC) hypothesis, specifically focusing on the role of energy productivity, technological advancement, and human capital in fostering a sustainable environment across 35 OECD economies from 1990 to 2018. Utilizing three robust econometric techniques, Cross-Sectional Autoregressive Distributed Lag (CS-ARDL), Fully Modified Ordinary Least Squares (FMOLS), and Dynamic Ordinary Least Squares (DOLS), we have drawn insightful conclusions from our data. The analysis substantiates an N-shaped EKC hypothesis relationship between GDP and CO2 emissions, pointing towards an initially increasing, then decreasing, and finally an increasing again trend of emissions with GDP. Furthermore, the long-term projections underscore that energy productivity, technological progression, and human capital formation harm the environment. These findings culminate in a call for governments to orchestrate extensive plans and initiatives. This involves promoting green technologies, renewable energy-based ideas, and comprehensive education and awareness programs. These efforts should span all educational levels, highlighting climate change, sustainable practices, and the need for CO2 reduction, empowering societies to contribute to a sustainable future.

Low-CO2 Optimization Design of Quaternary Binder Containing Calcined Clay, Slag, and Limestone

Blended cement is commonly used for producing sustainable concretes. This paper presents an experimental study and an optimization design of a low-CO2 quaternary binder containing calcined clay, slag, and limestone using the response surface method. First, a Box-Behnken design with three influencing factors and three levels was used for the combination design of the quaternary composite cement. The lower limit of the mineral admixtures was 0%. The upper limits of slag, calcined clay, and limestone powder were 30%, 20%, and 10%, respectively. The water-to-binder ratio (water/binder) was 0.5. Experimental works to examine workability and strength (at 3 and 28 days) were performed for the composite cement. The CO2 emissions were calculated considering binder compositions. A second-order polynomial regression was used to evaluate the experimental results. In addition, a low-CO2 optimization design was conducted for the composite cement using a composite desirability function. The objectives of the optimization design were the target 28-day strength (30, 35, 40, and 45 MPa), target workability (160 mm flow), and low CO2 emissions. The trends of the properties of optimal combinations were consistent with those in the test results. In summary, the proposed optimization design can be used for designing composite cement considering strength, workability, and ecological aspects.

Recycling Local Waste Glass Bottles into Cement Paste: Effect on Hydration, Microstructure, and CO2 Emission

Large amounts of waste glass are generated along with the manufacturing of glass products, causing detrimental effects on the environment. Through crushing and ball-milling, waste glass powder (WGP) can be acquired from glass bottles and has been suggested in cementitious systems due to its potential pozzolanic activity. To better understand the impact of WGP on cementitious composites, experimental tests of rheology, heat of hydration, and strength development were conducted on cement pastes with and without WGP. Results show that the rheological performance of cement paste is improved when WGP with particles passing through 80 μm sieves is incorporated. The retarding effect and pozzolanic reaction were observed through X-ray diffraction patterns and thermo-gravimetric parameter analyses. A calcium hydroxide (CH) content calculation further confirms the secondary reactivity of WGP in cement pastes. Compared with the samples without WGP, the normalized CH content of binder per unit mass containing 35% WGP decreased by 21.01%, 24.94%, and 27.41% at the ages of 1, 28, and 90 days, respectively, which contributes to late-age strength development of pastes. At the same time, the hydration per unit of cement was increased by 21.53%, 15.48%, and 11.68%, which improved the cement efficiency. In addition, WGP particles provide nuclei for hydration products, facilitating the subsequent growth of C-S-H and strength development in late ages. Based on value engineering analysis, WGP was found to reduce the impact of Portland cement on the environment by 34.9% in terms of carbon dioxide emissions, indicating a bright prospect for WGP in the cement industry.

Biodegradability of Gel-Forming Superabsorbents for Soil Conditioning: Kinetic Assessment Based on CO2 Emissions

Quantification of the biodegradability of soil water superabsorbents is necessary for a reasonable prediction of their stability and functioning. A new methodological approach to assessing the biodegradability of these polymer materials has been implemented on the basis of PASCO (USA) instrumentation for continuous registration of kinetic CO2 emission curves in laboratory incubation experiments with various hydrogels, including the well-known trade brands Aquasorb, Zeba, and innovative Russian Aquapastus composites with an acrylic polymer matrix. Original kinetic models were proposed to describe different types of respiratory curves and calculate half-life indicators of the studied superabsorbents. Comparative analysis of the new approach with the assessment by biological oxygen demand revealed for the first time the significance of CO2 dissolution in the liquid phase of gel structures during their incubation. Experiments have shown a tenfold reduction in half-life up to 0.1-0.3 years for a priori non-biodegradable synthetic superabsorbents under the influence of compost extract. The incorporation of silver ions into Aquapastus innovative composites at a dose of 0.1% or 10 ppm in swollen gel structures effectively increases their stability, prolonging the half-life to 10 years and more, or almost twice the Western stability standard for polymer ameliorants.

Graph Regression Model for Spatial and Temporal Environmental Data-Case of Carbon Dioxide Emissions in the United States

We develop a new model for spatio-temporal data. More specifically, a graph penalty function is incorporated in the cost function in order to estimate the unknown parameters of a spatio-temporal mixed-effect model based on a generalized linear model. This model allows for more flexible and general regression relationships than classical linear ones through the use of generalized linear models (GLMs) and also captures the inherent structural dependencies or relationships of the data through this regularization based on the graph Laplacian. We use a publicly available dataset from the National Centers for Environmental Information (NCEI) in the United States of America and perform statistical inferences of future CO2 emissions in 59 counties. We empirically show how the proposed method outperforms widely used methods, such as the ordinary least squares (OLS) and ridge regression for this challenging problem.

Production and characterization of ecological fire starter from sawdust and vegetable oil

The objective of this article aims to reduce indoor air pollution through the use of ecological fire starter (EFS) made from sawdust and vegetable oils. In the Far North region of Cameroon, plastic waste is used to ignite and stoke solid fuels fires, exposing mainly women and children who are responsible for cooking to health risks from indoor air pollution. Thus, the survey conducted among the population of the region shows that 96% of urban households use plastics waste made with LDPE, HDPE, PET, PS, PP and EVA as fire starter for solid fuels. In the region, 5544 tons of plastic used by households could emit approximately 15,314 tons of CO2 eq per year. The region has a manufacturing capacity of 1000 tons of EFS while its need is 894 tons in 2022. The lower heating value of the EFS varies between 31.914 ± 0.810 and 25.127 ± 0.026 MJ/kg, and have many ecological health and economic advantages. A household needs about 10 g of EFS to ignite solid fuel per day, with an annual expenditure ranging from 5.5 and US$ 7 to purchase EFS. Therefore, it is important to promote EFS through developing countries and look for another way to recover plastic waste.

Do financial inclusion and environmental regulations affect the green economy? An empirical study with a generalized linear model

Reducing carbon emissions is an efficient strategy to cope with global warming, which continues to be a frightening element for environmental protection. However, the energy industry is responsible for a lot of pollution in the atmosphere. To promote a low-carbon growth model, it is essential to endorse financial inclusion and environmental regulations. This research uses panel data from 70 nations, covering 1995 to 2021, to examine the interplay between economic growth, human capital, urbanization, trade openness, and environmental regulation as the primary defining element of efficient energy. Several tests have been used to ensure that the data are typically distributed; these include the cross-sectional dependence test, the KMO test, and the Bartlett test. The generalized linear model and Driscoll-Kraay standard errors have also been implemented for interim and final analysis. Results show that low-carbon energy sources are guaranteed for certain economies when financial inclusion and environmental regulation are implemented. Economic development, urbanization, trade openness, and human capital significantly impact green economic recovery. In light of these findings, policymakers are working to increase energy efficiency and boost their citizens' living standards by promoting financial inclusion and environmental regulation like imposing environmental taxes and governmental laws for industries.

Role of information and communication technology, economic growth, financial development and renewable energy consumption towards the sustainable environment: Insights from ASEAN countries

The objective of this study is to examine the effect of information and communication technology, economic growth, renewable energy consumption, and financial development on carbon dioxide emissions in selected ASEAN countries. The PMG (Pooled Mean Group) estimator is used to panel data from 1991 to 2020 to examine both the short-run and long-run impacts. The findings indicate that ICT and financial development contribute to environmental deterioration, in the long run, their influence on CO2 emissions in the short run is insignificant. On the other hand, the use of renewable energy has a long- and short-term favorable impact on environmental quality. Furthermore, it is discovered that economic growth increases CO2 emissions, but squared economic growth reduces CO2 emissions, confirming the inverted U-shaped EKC theory. The Granger causality test indicates that renewable energy and CO2 emissions are bidirectionally causal, but information and communication technology and financial development are unidirectionally causal to CO2 emissions. According to the findings, the governments of these nations must reduce carbon emissions from internet usage and invest in renewable energy sources to control environmental deterioration.

A dynamic relationship between renewable energy, agriculture, globalization, and ecological footprint of the five most populous countries in Asia

This study aims to examine the impact of globalization, renewable energy consumption, and agricultural value addition on the ecological footprint of selected five most populous countries in Asia during the period 1975-2020. The Westerlund cointegration test supports long-term cointegration relationships among the considered variables in selected countries. The long-term resilience results of the second-generation cross-sectionally augmented autoregressive distributed lag approach evidently demonstrate that agricultural value addition and globalization contribute significantly to the long-term ecological footprint of the five most populous countries in Asia. However, renewable energy consumption significantly reduces the ecological footprint. Moreover, the impact of economic growth on ecological footprint is significantly positive, while the square of economic growth had a significantly negative impact on ecological footprint, thus validating the inverted U-shaped environmental Kuznets curve hypothesis for specific Asian densely populated countries. The causality test results of Dumitrescu and Hurlin support the feedback hypothesis by showing a two-way causal relationship between renewable energy consumption and economic growth. There is also a two-way causal relationship between agricultural value added and ecological footprint. Strategically, specific densely populated countries in Asia should encourage clean energy production and consumption in the agricultural sector, and the adoption of environmentally friendly technologies can improve environmental quality and agricultural production.

Self-Compacting High-Strength Textile-Reinforced Concrete Using Sea Sand and Sea Water

In this study, a self-compacting high-strength concrete based on ordinary and sulfate-resistant cements was developed for use in textile-reinforced structural elements. The control concrete was made from quartz sand and tap water, and the sea concrete was made from sea water and sea sand for the purpose of applying local building materials to construction sites in the coastal area. The properties of a self-compacting concrete mixture, as well as concrete and textile-reinforced concrete based on it, were determined. It was found that at the age of 28 days, the compressive strength of the sea concrete was 72 MPa, and the flexural strength was 9.2 MPa. The compressive strength of the control concrete was 69.4 MPa at the age of 28 days, and the flexural strength was 11.1 MPa. The drying shrinkage of the sea concrete at 28 days exceeded the drying shrinkage of the control concrete by 18%. The uniaxial tensile test showed the same behavior of the control and marine textile-reinforced concrete; after the formation of five cracks, only the carbon textile reinforcement came into operation. Accordingly, the use of sea water and sea sand in combination with a cement with reduced CO₂ emissions and textile reinforcement for load-bearing concrete structures is a promising, sustainable approach.

The impact of health expenditure and economic growth on CO2 in China: a quantile regression model approach

Based on the environmental Kuznets curve (EKC) hypothesis and using Chinese provincial panel data from 2002 to 2019, this study examines how different types of healthcare expenditure and levels of economic development and energy consumption contribute to carbon emissions regionally. Considering the wide regional differences in the development levels of China, this paper uses quantile regressions and draws the following robust conclusions: (1) The EKC hypothesis was validated by all methods in eastern China. (2) The carbon emission reduction of government, private, and social health expenditure is confirmed. Furthermore, the impact of health expenditure on carbon reduction decreases from East to West. (3) Government, private, and social health expenditure all cause reductions in CO2 emissions, with private health expenditure having the largest negative effect on CO2 emissions, followed by government health expenditure and finally social health expenditure. Overall, the limited empirical work available on the impact of different kinds of health expenditure on carbon emission in the existing literature, this study greatly assists policy makers and researchers to understand the importance of health expenditure in improving environmental performance.

Greenhouse gas emission, GDP, tertiary education, and rule of law: A comparative study between high-income and lower-middle income countries

Global climate change is a pressing concern, particularly in underdeveloped countries. Because greenhouse gases are a key cause of climate change and economic growth is tied to emissions. The study aimed to determine how the Gross Domestic Product (GDP), Tertiary Education, and Rule of Law could be utilized more effectively to reduce greenhouse gas emissions. The study used data from 30 Lower-Middle Income Countries (LMICs) and 10 High-Income Countries (HICs), as grouped by the World Bank, for the period between 2000 and 2014. In this study, sum of greenhouse gas emission is the response variable and GDP value, Gross enrollment in tertiary education, Rule of law index are the key explanatory variables. Independent sample t-test and multiple linear regression models were applied to analyze the data. The study found a significant impact of GDP on greenhouse gas emissions [0.722, (0.653, 0.790), p < 0.01] for LMICs and [-0.605, (-0.728, -0.482), p < 0.01] for HICs. For Tertiary Education, the regression model coefficient is [-0.187, (-0.274, -0.100), p < 0.01], and [0.480, (0.356, 0.603), p < 0.01], respectively for the LMICs and HICs. And the Rule of Law index [-0.046, (-0.112, 0.020), p = 0.170], and [0.099, (-0.028, -0.227), p = 0.125] for LMICs and HICs respectively came out as statistically not significant although from the mean test, the difference between the mean of the variable Rule of Law of LMCs and HICs is statistically significant [p < 0.01] thus, it has some impact on the efficient use of economic growth. This study concludes that in the LMICs, greenhouse gas emissions are highly positively associated with GDP and the negative coefficient for tertiary education indicates it holds down the emissions. For the HICs, it is evident that GDP is not a major driver and positive significance for tertiary education indicates that the greenhouse gas emissions may result from extravagant operations that might be linked with higher tertiary education, which requires further analysis.

The Dynamic Nexus Between International Tourism and Environmental Degradation in Top Twenty Tourist Destinations: New Insights From Quantile-on-Quantile Approach

Tourism is one of the important factors that can affect the environmental and economic situation of any economy. This study investigates the relationship between tourist arrivals and CO2 emission in the top 20 tourist destinations using data from quarterly observations from 1995 to 2018. A unique technique via quantile-on-quantile regression and Granger causality in quantiles was used. In particular, how the quantiles of tourist arrivals impact quantiles of CO2 emission was analyzed. The empirical results suggest a combination of both positive and negative effects of tourist arrivals and CO2 emission in most tourist destinations. Predominantly, at both high and low tails, in the USA, Spain, Hong Kong, and Austria, tourist arrival has a positive effect on CO2 emission, whereas in the case of Canada, France, Germany, Mexico, and Malaysia, the association was negative. On the other hand, China, Greece, Russia, Japan, Italy, South Korea, Thailand, and Turkey have both positive and negative effects of tourism on CO2 emissions at low and high tails. Tourism can be an important factor while formulating policy for environmental and climate aspects.

Energy and environmental investigation on photovoltaic system performance by application of square cross-sectional two-phase closed thermosyphon

By increasing solar radiation, the temperature of photovoltaic cells rises, and as a result, the electrical power and lifespan of the panel are reduced. By cooling the panel with two-phase closed thermosyphons (TPCTs), this effect can be minimized. In contrast to typical TPCT, which has a circular cross-section, the thermosyphon used in this study has a square cross-section. In the proposed system, the solar cells place on an aluminum plate to reduce the thermal resistance and improve the heat transfer rate. Investigations have been made on the effects of three different filling ratios, including 25, 45, and 65%. The trial results show that equipped PV panel with square TPCT with a filling ratio of 45% produces the best cooling performance. In this instance, 68.31 kJ of heat energy was transmitted to the tank water. Electrically, the equipped panel has been found to produce up to 3.85% greater output power than a conventional one. A new mathematical model to estimate the performance of equipped PV panel with square TPCT is introduced too. Additionally, the research has looked into how varied tank volumes, solar radiation, and wind velocity affect the temperature difference in tank water. Based on environmental investigations, the proposed solar system is used instead of natural gas and fuel oil, it will prevent the annual emission of 106.3 and 159.4 kg of CO₂ per unit area of the panel to atmosphere.

Environmental footprint of Hollywood film industry: myths vs facts

This paper discusses the impact of film industry on CO₂ emission of the USA by using four different single-equation cointegration methods, namely, fully modified least squares (FMOLS), dynamic least squares (DOLS), canonical cointegrating regression (CCR), and autoregressive distributed lag (ARDL) to check the robustness of the results. The data has chosen in line with the environment Kuznets curves (EKC) and pollution haven hypothesis, and the models use communication equipment in millions of dollars and capital in entertainment, literacy, and artistic originals as determinants of motion picture and sound recording industries with other control variables such as income per capita and energy use to examine their nexus. Moreover, we also employ the Granger causality test to determine whether one variable is a predictor of another. The results approve the validity of EKC hypotheses for the USA. As expected, increase in energy use and capital assets results in rise in CO₂ emission, while communication equipment improves the environmental quality.

Analysis of how environmental degradation affects clean energy transition: evidence from the UAE

Considering the alarming rate of environmental degradation, all countries are looking for solutions to close their environmental gaps in order to ensure long-term sustainability. In order to achieve green ecosystems, economies seeking clean energy are motivated to embrace environmentally friendly practices that can support resource efficiency and sustainability. In this sense, the current paper addresses measuring the link between CO₂ emissions, economic growth (GDP), renewable and non-renewable energy (RE), tourism, financial development, foreign direct investment, and urbanization in the United Arab Emirates (UAE). The aim of this paper is to empirically evaluate the link between CO₂ emissions and macroeconomic factors in the UAE. The UAE was chosen as the country for the case study as the UAE is one of the world's richest oil-based economies and one of the countries with the highest per capita income, adopts sustainable technologies, and has signed the Paris agreement supporting the transition to clean energy. To verify the environmental Kuznets curve (EKC) for UAE, the timespans for the years 1990-2021 have been chosen according to data availability. The long-run coefficients supported the EKC hypothesis of an inverted U shape for income and CO₂ emissions, according to the findings. Notably, urbanization and financial development both reduce pollution while foreign direct investment increases environmental pollution. The study recommended the creation of more environmental policies to promote sustainable business operations and nationwide green awareness, increase the use of clean energy technology, reduce energy intensity, and achieve a net zero carbon target.

The impact of financial tools in environmental degradation management: the relationship between Co2 emission and ESG funds

This study aims to determine whether ESG funds can be used as an effective tool for environmental sustainability. ESG funds, which first appeared in the 2000s and were exported by environmentally friendly companies, are among the most effective tools for increasing firm value and managing environmental degradation. The causality relationship between the ESG funds, one of the environmentally friendly investment instruments, and the CO2 emission values, which are used as an environmental degradation criterion, was investigated in this study. The study used 209 daily data sets from July 31, 2020, to May 28, 2021. The symmetric developed by Hacker and Hatemi-J (Appl Econ 38:1489-1500, 2006), the asymmetric developed by Hatemi-J (Empir Econ 43:447-456, 2012), and time-varying asymmetric causality tests were used as models. According to the study results, while there is no symmetric causality between CO2 emissions and ESG funds, there is causality between CO2 emissions and ESG funds prices for negative shocks and between CO2 emissions and ESG funds trade volume for positive shocks. The results of a time-varying asymmetric causality test also support that this causality relationship varies by period. As a result, ESG funds can be used as a strategic financial tool to improve environmental quality during the COVID-19 period; however, this may vary for different sub-sample periods.

The moderating role of technological innovation between tourism and carbon emission: short and long-run panel analysis

In contemporary times of globalization, tourism and travel are among the fastest-growing economic sectors and are highly related to climate change; however, technological innovations as a powerful tool positively contribute to the environment. The present study examines the tourism receipt and CO2 emission relationship and the triple interaction effect of technological innovation, energy consumption, and tourism receipts on CO2 emissions in the short and long run. To achieve study objectives, we utilized panel data of 64 Belt and Road Initiative (BRI) countries over the period of 1995 to 2019. Considering the cross-sectional dependence in the panel data set, we employed a series of econometric panel data estimation techniques-including the panel unit root tests, panel co-integration tests, and the generalized method of moments (GMM). The panel unit root results confirmed the level of stationarity, and the panel co-integration results verified the long-run relationship among study variables. The sys-GMM results indicate that tourism receipts and CO2 emissions have an inverse relationship for 64 BRI countries. In addition, the negative coefficients for joint interaction imply that tourism receipts, technological innovation, and energy consumption reduce CO2 emissions. Considering the theoretical underpinnings of the study outcomes, we discussed significant policy implications to reduce CO₂ emissions and achieve sustainable tourism.

Green innovation, globalization, financial development, and CO2 emissions: the role of governance as a moderator in South Asian countries

The current study is designed to analyze the relationship between, environmental innovations, globalization, financial development, and CO₂ emissions in the South Asian region over the period of 1996 to 2019. In this regard, the role of governance is also incorporated as a moderator along with Environmental Kuznets Curve (EKC) hypothesis. The sample size includes Bangladesh, India, Pakistan, Nepal, and Sri Lanka. The results of the robust least square show the validity of EKC in the sample countries. Environmental innovations show desirable results on CO₂ emissions, while globalization, financial development, and governance are increasing environmental degradation. The role of governance as a moderator is only effective and favorable with environmental innovation. However, in the case of globalization and financial development, governance appeared to be ineffective in lessening the rate of emissions; rather, it contributes to emissions. It clearly shows the missing link in formulating coherent policy to achieve sustainability targets. Therefore, it is desirable to improve the role of governance with respect to environmental policies not only to handle directly environmental issues but also indirectly while promoting the process of globalization and financial development.

Can environmental taxes and green-energy offer carbon-free E7 economies? An empirical analysis in the framework of COP-26

The main cause of environmental degradation is carbon emissions, which puts environmental sustainability in jeopardy. This ecological worry, the obligation for which falls on all economic actors, has not gone undetected, and so in 2021, the Glasgow Climate Pact (COP: 26) was organized, with the primary aim of decreasing global carbon emissions. Because the Post-Glasgow Agreement goals represent a significant challenge to achieving ecological responsibility, pressure is applied to the participating nations. However, earlier literature lacked sufficient investigation of factors useful for the mitigation of carbon emissions in E7 (China, Turkey, India, Russia, Brazil, Indonesia, and Mexico) economies. Hence, we aim to fill this research vacuum by predicting the impact of clean fuels and cooking technology availability, renewable energy, and environmental taxes on E7 economies' carbon emissions from 2000 to 2020, while taking urbanization and population expansion into account. Evaluation is done using four different cross-sectional dependence (CSD) methods, as well as unit root tests (CIPS and CADF), cointegration analysis (Westerlund and Kao), and the Driscoll-Kraay and quantile-on-quantile long-run factor estimate methods. The long-run analysis revealed from our findings that environmental tax, renewable energy, and access to clean fuels and technologies for cooking decrease carbon emission for the E7 economies. On the other hand, urbanization and population growth enhance emissions for the E7 economies. Finally, our results hold up under a variety of policy interpretations that would aid in reducing carbon emissions and their negative effects on the environment.

A spatial econometric analysis of the environment Kuznets curve and pollution haven hypothesis in Sub-Saharan Africa

The aim of this study is to test the environment Kuznets curve (EKC) and pollution haven (PH) hypotheses in Sub-Saharan Africa (SSA). An important methodological point that has been over-looked by many studies is that environmental quality is not only correlated in time but also in space. For this purpose, the study applies spatial panel econometric analysis using a balanced panel of 35 SSA nations from 2002 to 2015 to examine the EKC and PH hypotheses. Both spatial interdependence and individual heterogeneity are accounted for through the application of the spatial Durbin model (SDM) so as to avoid potential bias and inefficiencies in parameter estimates. As proxies for environmental quality, panel data aggregates on carbon dioxide (CO₂) emissions and the depletion of natural resources are utilised. The findings offer proof for the EKC theory about the depletion of natural resources in SSA. The EKC theory, however, does not apply to CO₂ emissions. Moreover, the study finds that the positive scale effect of trade outweighs the negative technique effect of trade, which indicates that trade liberalisation has a negative effect on both environmental quality indices. This discovery supports the PH theory. The study also demonstrates positive spatial spill-over for natural resource depletion between neighbouring countries and negative spatial spill-over for carbon dioxide emission between close countries.

Environmental Effects of China's Export Trade to the Countries along Belt and Road: An Empirical Evidence Based on Inter-Provincial Panel Data

There is a close inherent connection between manufacturing exports and environmental pollution. With the continuous growth of China's export trade to the countries along Belt and Road, the resulting environmental problems have also received much attention. This paper first analyzes the environmental impact mechanism of China's export trade to the countries along Belt and Road. Then based on the dynamic panel data of 30 provinces in China from 2013 to 2019, we use the SYS-GMM method to make an empirical test from national and regional perspectives and analyze the environmental effects of China's export trade to the countries along Belt and Road. The results show that the environmental effects of export trade are significantly heterogeneous in different regions. In general, export trade has a significant positive scale effect on CO₂ emissions; the negative effect of environmental regulation on CO₂ emissions can effectively offset the positive effect caused by the growth of output in the capital-intensive sector, and the composition effect is generally negative; the technical effect of China's export trade to the countries along Belt and Road mainly depends on the technological-independent innovation, which is caused by the domestic investment in science and technology, so the overall technical effects are negative. Therefore, China should optimize the structure of export trade, promote technological innovation, and cultivate green advantage industries by increasing investment in scientific research and development; implement a gradient environmental regulation policy; and improve the quality and level of foreign direct investment.

Ensuring environmental inclusion in developing countries: the role of macroeconomic policies

In every society, there exist disadvantaged groups who have failed constantly to take part in the development of the economy and reap the benefits of economic growth as well. Along with economic and social factors, environmental factors are also accountable in making inclusion a challenge for the marginalized group. Contaminated drinking water, inappropriate sanitation systems, and pollution are the factors that affect health and wellbeing of the poor class by affecting their productivity. Thus, the lack of a clean environment leads the poor section towards further poverty and income inequality. Since the 2030 Agenda for Sustainable Development emphasizes three components to achieve sustainable development, namely economic, social, and environmental, this study inspects the role of macroeconomic policies in ensuring an inclusive clean environment in developing countries. Moreover, it considers the composite effect of fiscal policy and monetary policy on environmental inclusion by including interactive terms. This investigation uses FE-2SLS on a panel of 51 developing countries for the period of 1995-2019 to analyse the impact of macroeconomic policies on environmental inclusion. The study provides empirical evidence that fiscal and monetary policy has the potential to ensure an inclusive clean environment in developing countries. The findings imply that the macroeconomic policy actions depend on each other. Furthermore, governments in developing regions are required to cut nondeveloping expenditures and use expansionary monetary policy to promote green growth.

Interrelationship among environmental policy stringency, financial globalization in OECD countries, and CO2 emission with the role of technological innovation and financial development

The study examines the nexus between financial globalization (FG), environmental policy stringency (EPS), financial development (FD), and technological innovation (INV) on CO2 emission with moderating effect of technological innovation on financial development and environmental degradation in 36 OECD countries with an updated dataset from the period of 1990 to 2020 using PMG (Pooled mean group) panel ARDL method. The results of stationarity tests; (Levin, Lin, and Chu test; ADF Fisher test) demonstrate that selected variables are stationary at level I(0) and first difference I(I); this confirms that PMG estimator can be employed. Cointegration tests indicate that cointegration exist among the variables. The empirical findings of the PMG estimator indicate that financial globalization and CO2 are negatively associated with each other. While financial development, environmental policy stringency, and technological innovation have positive impact on environmental degradation in OECD countries. Furthermore, technological innovation strengthens the association between financial development (FD) and environmental degradation (CO2 emission). In order to accelerate economic growth, the study recommends that policymakers should implement environmental policies to achieve low-carbon mechanisms, such as green infrastructure and renewable energy systems, which reduce energy consumption and greenhouse gas emissions. Therefore, it is crucial that the selected OECD countries should develop programs that increase awareness of the risks of carbon emissions.

The global energy matrix and use of agricultural residues for bioenergy production: A review with inspiring insights that aim to contribute to deliver solutions for society and industrial sectors through suggestions for future research

Promoting the use of renewable energy sources has become an important policy strategy for mitigating climate change and for providing better energy security and financial sustainability. To overcome the problems generated by non-renewable energy sources, it is essential to use new energy sources. A literature review was conducted to investigate and understand the opportunities for implementing new renewable energy sources. Agricultural residues have great potential to receive significant consideration worldwide as an alternative, sustainable, and green energy source. The use of agricultural residues for bioenergy generation is a broad and favourable scenario for exploration. This review identified potential and almost unexplored research approaches with the aim of contributing and promoting researchers to deliver technological solutions for the society and industrial sectors. For example, a potentially promising technological solution would be for industries that produce machinery and agricultural implements to adapt their harvesters for different grain crops, to collect these agricultural residues simultaneously during harvest and readily perform granulation, compaction (pressing), pelletizing or briquetting directly on the property. Further studies are required to investigate the use of agricultural residues for bioenergy generation, which can contribute to the diversification of the energy matrix. Accordingly, in this review, several challenges and future research perspectives have been presented, such as suggestions for future research on how to collect, transport, process, market and use these agricultural residues to generate bioenergy, aiming at reducing the dependence on fossil fuels.

[Climate change and mental health. Position paper of a task force of the DGPPN]

Climate change and the resulting higher frequency of extreme weather events have a direct negative impact on mental health. Natural disasters are particularly associated with an increase in the prevalence of depression, anxiety and posttraumatic stress disorder. Indirect consequences of climate change, such as food shortages, economic crises, violent conflicts and forced migration, additionally represent severe psychological risk and stress factors. Climate anxiety and solastalgia, the distress induced by environmental change, are new psychological syndromes in the face of the existential threat posed by the climate crisis. Accordingly, a sustainable psychiatry must prepare for increasing and changing demands. The principles of psychiatric treatment need to focus more on prevention to reduce the overall burden on the healthcare system. Waste of resources and CO₂ emissions in psychiatric treatment processes as well as infrastructure must be perceived and prevented. Psychiatric education, training and continuing education concepts should be expanded to include the topic of climate change in order to comprehensively inform and sensitize professionals, those affected and the public and to encourage climate-friendly and health-promoting behavior. More in-depth research is needed on the impact of climate change on mental health. The DGPPN becomes a sponsor and aims for climate neutrality by 2030 by committing to climate-friendly and energy-saving measures in the area of finance, in relation to the DGPPN congress as well as the DGPPN office.

Calcium-Based Binders in Concrete or Soil Stabilization: Challenges, Problems, and Calcined Clay as Partial Replacement to Produce Low-Carbon Cement

Calcium-based binders, such as ordinary Portland cement (OPC) and lime (CaO), are the most common artificial cementitious materials used worldwide for concrete and soil improvement. However, using cement and lime has become one of the main concerns for engineers because they negatively affect the environment and economy, prompting research into alternative materials. The energy consumption involved in producing cementitious materials is high, and the subsequent CO₂ emissions account for 8% of the total CO₂ emissions. In recent years, an investigation into cement concrete's sustainable and low-carbon characteristics has become the industry's focus, achieved by using supplementary cementitious materials. This paper aims to review the problems and challenges encountered when using cement and lime. Calcined clay (natural pozzolana) has been used as a possible supplement or partial substitute to produce low-carbon cement or lime from 2012-2022. These materials can improve the concrete mixture's performance, durability, and sustainability. Calcined clay has been utilized widely in concrete mixtures because it produces a low-carbon cement-based material. Owing to the large amount of calcined clay used, the clinker content of cement can be lowered by as much as 50% compared with traditional OPC. It helps conserve the limestone resources used in cement manufacture and helps reduce the carbon footprint associated with the cement industry. Its application is gradually growing in places such as Latin America and South Asia.

Assessment of the Possibility of Reducing Energy Consumption and Environmental Pollution in the Steel Wire Manufacturing Process

This paper describes research on the influence the technology of zinc-coated steel wire manufacturing has on the energy and force parameters of the drawing process, energy consumption and zinc expenditure. In the theoretical part of the paper, the theoretical work and drawing power were calculated. Calculations of the electric energy consumption have shown that usage of the optimal wire drawing technology results in a 37% drop in energy consumption, which in the course of a single year translates to savings equal to 13 TJ. This, in turn, results in the decrease of CO₂ emissions by tons and a total decrease of the eco-costs by approximately EUR 0.5 mln. Drawing technology also influences the losses of the zinc coating and CO₂ emissions. Properly adjusted parameters of the wire drawing technology allow obtaining a zinc-coating that is 100% thicker, translating to 265 tons of zinc, whose production generates 900 tons of CO₂ and incurs eco-costs equal to EUR 0.6 mln. Optimal parameters for drawing, from the perspective of decreased CO₂ emissions during the zinc-coated steel wire manufacturing, are as follows: usage of the hydrodynamic drawing dies, angle of the die reducing zone α = 5°, and drawing speed of 15 m/s.

Carbon Emission and Biodiversity of Arctic Soil Microbial Communities of the Novaya Zemlya and Franz Josef Land Archipelagos

Cryogenic soils are the most important terrestrial carbon reservoir on the planet. However, the relationship between soil microbial diversity and CO₂ emission by cryogenic soils is poorly studied. This is especially important in the context of rising temperatures in the high Arctic which can lead to the activation of microbial processes in soils and an increase in carbon input from cryogenic soils into the atmosphere. Here, using high-throughput sequencing of 16S rRNA gene amplicons, we analyzed microbial community composition and diversity metrics in relation to soil carbon dioxide emission, water-extractable organic carbon and microbial biomass carbon in the soils of the Barents Sea archipelagos, Novaya Zemlya and Franz Josef Land. It was found that the highest diversity and CO₂ emission were observed on the Hooker and Heiss Islands of the Franz Josef Land archipelago, while the diversity and CO₂ emission levels were lower on Novaya Zemlya. Soil moisture and temperature were the main parameters influencing the composition of soil microbial communities on both archipelagos. The data obtained show that CO₂ emission levels and community diversity on the studied islands are influenced mostly by a number of local factors, such as soil moisture, microclimatic conditions, different patterns of vegetation and fecal input from animals such as reindeer.