CO2-C Emissions Research Articles

Comparing theeffect of applying different types of amendments on carbon emissions and kinetics of degrading total petroleum hydrocarbons in artificial petroleum-contaminated soil.

Contamination byspent engine oil represents a significant global environmental challenge as it poses a major hazard to human health, animals, plants, microorganisms, the soil ecosystem, and aquatic ecosystems. This study assumes that some amendments differ significantly in their ability to degrade petroleum hydrocarbons. Therefore, this incubation study was conductedto investigate the effect of different types of inorganic and organic amendments (zeolite, bone char, banana leaves biochar, and wood chips biochar) on carbon emissions (CO2-C) and the kinetics of total petroleum hydrocarbons (TPHC) degradation in artificial petroleum-contaminated soil. These amendments wereadded to the soil under study at adose of 3% (w/w). At the end of the incubation period, applying zeolite, bone char, banana leaves biochar, and wood chips biochar to artificial petroleum-contaminated soil significantly reduced cumulative CO2-C emissions compared to the control. The banana leaves biochar significantly decreased TPHC concentrations in artificial petroleum-contaminated soil compared to the control treatment. At the end of the incubation period, adding banana leaves biochar to the soil showed high degradation efficiencies of TPHC which was36% higher than soil before incubation. The effectiveness of applying amendments used in this experiment on the degradation of TPHC increase was in the order of banana leaves biochar > bone char > wood chips biochar > control > zeolite. The second-order model described the kinetics of total petroleum hydrocarbons better than thefirst-order model. Banana leaves biochar added to the soil resulted in a significant increase in the degradation rate constant of total petroleum hydrocarbons (k2) compared with the control. A higher k2 value indicates that TPHC degrades more rapidly. The half-life of TPHC degradation in the soil was decreased significantly by adding banana leaves biochar. According to the second-order equation, the half-lives of control, zeolite, bone char, banana leaves biochar, and wood chips biochar were 4.0, 5.3, 2.7, 1.0, and 3.6 years, respectively. The banana leaves biochar amendment might be cheaper and more environmentally friendly than other organic amendments because it has the high potential for carbon sequestration and remediate petroleum-contaminated soil, which would increase the sustainable use of petroleum-contaminated soil leading to preserving the environment.

Glycine betaine application improved seed cotton yield and economic returns under deficit irrigation

BackgroundDeficit irrigation exerts devastating effects on the productivity and economic returns of cotton crop, as well as carbon dioxide (CO2) emission form soil. Osmolytes play a significant role in facilitating the adaptation of cotton plants to abiotic stresses and improve productivity. MethodsThis study investigated the effects of different osmolytes (glycine betaine, ascorbic acid, salicylic acid 100 mg L−1 each) and deficit irrigation (50 %-I50, 75 %-I75, 100 %-I100) on seed cotton yield, greenhouse gas emission (CO2-C), emission factor (EFs) and economic returns of cotton in Southern Anatolia, Türkiye. ResultsDeficit irrigation and osmolyte treatment, both separately and in combination, had a substantial impact on seed cotton yield, CO2-C emission and EFs. The lowest (3800 kg ha−1) and the highest (4746 kg ha−1) seed cotton yield was noted under I50, and I100 treatments, respectively. Similarly, no osmolyte application and application of glycine betaine resulted in the lowest (4097 kg ha−1) and the highest (4545 kg ha−1) seed cotton yield, respectively. The interactive effect indicated that application of glycine betaine and salicylic acid produced better yield than control treatment under all irrigation treatments. The lowest (1.55) and the highest (1.94 mg) CO2-C emission (mg CO2-C m−2 h−1) was recorded for I50, and I100 treatments respectively. Likewise, the lowest (1.52) and the highest (2.19) daily carbon emission were recorded for salicylic acid and glycine betaine application, respectively. The lowest and the highest EFs values were observed for glycine betaine and ascorbic acid application, respectively. Application of glycine betaine resulted in the highest economic returns under all irrigation treatments which was comparable to salicylic acid, whereas the lower economic returns were recorded for control treatment. ConclusionIt is concluded that application of glycine betaine can be used to improve seed cotton yield and economic returns under deficit irrigation. Similarly, glycine betaine proved helpful in reducing CO2-C emission under deficit irrigation compared to normal irrigation.

Carbon-scaled nitrous oxide emissions better reflect the impacts of land use changes than raw nitrous oxide emissions in the Dry Chaco region

In the Dry Chaco region, agriculture expansion has caused significant land use change hotspots. However, the post-impact of land use change on nitrous oxide (N2O) emissions and carbon (C) budgets remains unknown. This study aimed to contrast the impacts of the main land use systems on N2O emissions related to its C inputs and C budgets by comparing them with those of a native forest at two sites of the Dry Chaco region of Argentina. At Site 1, the land use system were soybean-fallow-soybean and maize-fallow-maize sequences, whereas at Site 2, it was a soybean-wheat sequence. Measurements of soil N2O and carbon dioxide (CO2) fluxes were carried out monthly using the static chamber method. The C budgets of each system were determined for the annual crop-fallow cycle by the difference between the C inputs (from annual aboveground (ABG), belowground (BG), and rhizodeposition) and C outputs (defined as cumulative CO2-C emissions). At Site 1, the native forest showed 168 and 50 % more cumulative N2O emissions than maize and soybean, respectively. However, most land use differences were based on C inputs. Thus, when the cumulative N2O emissions of each system were related to their C inputs, the N2O emissions per ton of C entered of the native forest were lower than those of soybean and similar to those of maize. The C budgets (± standard error) at Site 1 were 6.4 ± 1.3, 1.0 ± 0.3 and −0.7 ± 0.6 t C ha−1 yr−1 for native forest, maize and soybean, respectively. At Site 2, they were 3.1 ± 0.7 and −4.0 ± 0.6 t C ha−1 yr−1 for the native forest and the soybean-wheat sequence, respectively. This paper proposes a comprehensive approach that integrates C inputs and budgets when evaluating N2O emissions from different land uses as a guide to define mitigating management practices and considers a native vegetation system to unmask the real impacts of agroecosystems.

English

An incubation study investigated the decomposition patterns, microbial activities, soil aggregates distribution, and soil organic carbon (SOC) contents, using four crop residues; wheat (Triticum aestivum L.), rice (Oryza sativa L.), cotton (Gossypium hirsutum L.), and maize (Zea mays L.), at low and high rates (10 and 20 g kg–1). An average increase of about 35% in cumulative C-CO2 emissions and 26% in soil microbial biomass carbon (MBC) was observed at high residue rates as compared to low rates. A positive and strong correlation (0.96) was found between C-CO2 emissions and MBC, and the effect of residue quality on decomposition was found to be less at high rates. The relative reduction in C-CO2 emissions by adding rice residues may be due to their high silica content. Differences in extracellular enzyme activities (EEA) with different residues indicated the effect of residue quality on microbial activities. Cotton residues increased β-glucosidase and chitinase activities by 41 and 38%, respectively, at high rates than at low rates. High maize residues also markedly increased chitinase activity by 41%, implying higher N cycling and fungal prevalence. Acid phosphatase activity was found to increase by about 25 to 32% with high rice and wheat residues, respectively. Higher EEA at high residues input likely reflected the microbial nutritional limitations. Crop residues raised SOC content from 0.7 under control to 1.0% at low residues input but not at high input. Increased macro-aggregates fraction at high residues input may be attributed to higher microbial activities. In summary, high residues input can minimize residue biochemical quality’s effect on decomposition, with no further increase in SOC content. While a positive effect on the soil MBC, but not on the SOC content, was observed at high residue input, suggesting moderation in the additions of organic amendments is key for SOC buildup. Crop residues, added at 10 g kg–1, may help maintain a positive SOC balance in the arid agroecosystems by moderating higher microbial activities and soil respiration.

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.

Biochar applications and enzyme activity, carbon dioxide emission, and carbon sequestration in a calcareous soil

Biochar is a carbon-rich product obtained by biomass pyrolysis and is considered as a means of carbon sequestration. However, there is limited knowledge regarding responses of soil respiration and C-cycle enzyme activities to BC in a calcareous soil. In this study, different biochar AS, TS, PP, CS were applied to the soil at different rates (0.5, 1.0, and 1.5%) The highest increase in soil organic C content was observed in the TS treatment, while the AS treatment caused a slight increase of soil organic C. The highest MBC content was recorded in AS treatment and the lowest was observed in TS. The highest CO2-C emission was recorded in the TS treatment. In contrast, the lowest CO2-C emission was observed in the PP treatment due to its high recalcitrant C content and was attributed to a positive priming effect, stabilizing BC mineralization to improve the soil. The highest β-galactosidase enzyme activity was observed in the CS treatment and the lowest activity was observed in AS. The highest change in β-glycosidase enzyme activity was observed of PP treatment and the lowest was in AS biochar application. Thus, TS treatment is recommended to increase the organic C content of soils, and the PP biochar can be used to reduce CO2-C emission. The TS, PP, and CS can be applied to increase enzyme activities. The study clearly shows that the addition of BC to arid soils may have a high potential to improve soil enzyme activities and subsequent carbon sequestration and biochemical cycles.

The Effect of Pyrolysis Temperature of calotropis procera Biochar on Dynamics of Petroleum Hydrocarbons Degradation, Carbon Emission, and Ammonia Volatilization in Artificial Petroleum-Contaminated Soil

Pollution by petroleum hydrocarbons (PHCs) is a current environmental challenge all over the world. Therefore, this study was established to evaluate the impact of calotropis procera biochar (CPB) produced at various pyrolysis temperatures on carbon emission, ammonia volatilization, degradation of PHCs, and properties of artificial petroleum-contaminated soil. An incubation experiment was performed with CPB produced at 400 °C (CPB400) and 650 °C (CPB650). The artificial petroleum-contaminated soil was amended with biochar at doses of 1, 2.5, and 5% along with the unamended soil (control) and incubated for 78 days. The results demonstrate that the CO2-C emission rate in petroleum-contaminated soil increases significantly with all biochar applications compared to the control treatment. Adding CPB400 into the soil, at all doses, decreased cumulative NH3 emission significantly, in comparison with control and CPB650 treatments during all incubation periods. Total PHCs concentration in the soil reduced significantly with CPB400 application at 2.5% compared to the control treatment. CPB400 was more effective in declining total PHCs content in the soil than biochar produced at 650 °C. Available phosphorus and potassium in petroleum-contaminated soil increased significantly under biochar applications compared with the control treatment. Using Calotropis procera biochar produced by low-temperature pyrolysis as an amendment can play a vital role in the remediation of PHCs in polluted soils, it is also a promising way to improve the quality indicators of petroleum-contaminated soil.

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.

Olericulture No-Till System at Mountain Region: Physical and Biological Attributes of the Soil

The production of vegetables and grains by the family farming in the mountains of the Atlantic Forest is characterized by intensive soil management with ploughing and harrowing practices. These practices are promoting hydric erosion and losses of soil quality in the region. In this context, the objective of this work was to evaluate soil physical and biological characteristics at two seasons of the year in agroecosystems producing vegetables and grains in the no-tillage system (NTS) for 3, 5, and 9 years compared to the conventional management system (CT) in the Atlantic Forest Biome, Brazil. Physical and organic matter attributes and carbon (C) and nitrogen (N) stock were evaluated. NTS showed, in general, greater total porosity than CT systems. The main differences between the systems were found in the organic attributes and C and N stocks. The content of microbial biomass C in NTS with 3, 5, and 9 years was 767.5, 326.5, and 210.0 mg·kg−1, while the areas with CT had 93.75, 78.25, and 45.75 mg·kg−1, respectively. The stock of C in winter at the 9NTS area was 33.0 and 41.5 Mg·ha−1, and the respective area in CT presented only 21.75 and 25.00 Mg·ha−1 in the depths of 0–10 and 10–20 cm, respectively. The metabolic quotient of the NTS areas did not differ from the reference ecosystems and is promoting lower C-CO2 emissions than the CT system. The adoption of NTS in vegetable production improves soil quality in family farm areas of mountains relief at the Atlantic Forest Biome.

Interdependency and causality between green technology innovation and consumption-based carbon emissions in Saudi Arabia: fresh insights from quantile-on-quantile and causality-in-quantiles approaches.

In this paper, we examined the asymmetric dynamics and causality of technological progress--proxied by green technology innovation--on both consumption-based carbon (CCO2) and territory-based carbon (TCO2) emissions in Saudi Arabia using quarterly data from 1990Q1 to 2021Q4. Our initial results reject the normality and linearity assumptions of data series and thus emphasize that the observed associations are quantile dependent. We firstly utilized the quantile-on-quantile regression (QQR) approach to draw the interdependency between green technology innovation and both CCO2 and TCO2 emissions. We found a strong emission-mitigating impact of green technology innovation only at (extreme) upper emission levels. We also identified a weak positive effect at (extreme) higher emission quantiles. Furthermore, we found that higher emission levels are linked with lower green technology innovation across all emission quantiles whereas a weak positive effect is perceived at lower and medium emission quantiles. We further utilized linear and nonlinear Granger causality-in- quantiles (GCQ) tests to capture an entire picture of the impact of green technology innovation on both CCO2 and TCO2 emissions. Under linear specifications of the quantile regression model, we found evidence of strong bidirectional causality between carbon emissions and green technology innovation across lower and upper quantiles. However, we found unidirectional causalities from carbon emissions to green technology innovation at medium quantiles of the conditional distribution. Besides, there is no causality at both extreme lower and extreme upper quantiles. Under nonlinear specifications of the quantile regression model, we found a weak unidirectional causality from green technology innovation to carbon emissions at (extreme) lower quantiles. We also found a weak unidirectional causality from carbon emissions to green technology innovation at medium and extreme upper quantiles. Overall, our findings indicate that green technology innovation helps abate both CCO2 and TCO2 emissions in Saudi Arabia. Our study shows policies that target green technology innovation would significantly change carbon emissions.

Impact of tillage and residue management on greenhouse gases emissions and global warming potential of winter wheat in a semi-arid climate

A two-year field study was carried out at the Indian Agricultural Research Institute New Delhi, from rabi 2020-21 to 2021-22, with the aim of examining the impacts of tillage and residue management on yield, greenhouse gases (GHGs) emissions, global warming potential (GWP) and carbon efficiency ratio (CER) of wheat in a split plot design. The results indicated that both tillage and residue management significantly influenced the grain and biomass yield of wheat. In comparison to conventional tillage (CT), no-tillage (NT) resulted in a substantial reduction of CO2-C emissions by 19.9%, while it led to a notable increase of N2O-N emissions by 11.6%. However, there was a notable and significant rise in GHG emissions with crop residue mulching, registering on an average 20.79% higher emissions compared to residue removal for both the years. The GWP was overall lower in case of NT as compared to CT plots. The highest CER was observed in NTR+ (3.07) during 2020-21 and in NTR0 (3.12) during 2021-22 due to lower CO2 emissions and higher C fixation in both years. Therefore, it may be recommended that wheat can be cultivated in a semi-arid environment with no tillage and residue mulching to provide a comparable yield in addition to lower GHG emissions and GWP and higher CER compared to the farmers’ practice of CT and residue removal.

Straw Inputs Improve Soil Hydrophobicity and Enhance Organic Carbon Mineralization

The mechanism of the influence of soil water repellency (SWR) and agglomeration stability on soil organic carbon (SOC) mineralization has not been thoroughly studied following different methods of returning straw to the field. The research background in this study was ordinary black soil, and the addition of straw was accomplished via straw mixing (CT), straw mulching (CM), straw deep burying (CD), and straw tripling deep burial (CE). A 120-day long-term incubation test was used to measure the contact angle between water droplets and soil, the particle size distribution of aggregates and their organic carbon (OC) content, organic carbon pool (OCP) content, OC contribution, and soil CO2-C release, the extent of SWR and the direct effect of agglomerates on SOC mineralization were assessed under different straw return methods. The results revealed that the water-droplet–soil contact angle (CA) was much greater and the rate of CA decline was significantly lower in the CD treatment compared to the CT, CM, and CE treatments, the rate of water droplet penetration on the soil surface was slower, and the SWR was improved. The CD treatment significantly increased the content of macroaggregates and their OCP content, and also significantly increased the content of microaggregates’ OC. The CO2-C emission rate and cumulative emissions were enhanced by adding the same amount of straw, with the most significant enhancement in the deep straw treatment. The cumulative CO2-C emission rate and SOC mineralization significantly increased with increases in SWR, macroaggregates content, and microaggregates OC content, but significantly decreased with increases in macroaggregates’ OC content, according to principal component analysis and Pearson’s correlation analysis. These results highlight the extent of SWR and the direct effect of agglomerate particle size distribution and OC content on SOC mineralization under different straw return methods. This will help to consolidate soil structural stability and nutrient management to support productivity and SOC sequestration in different agricultural systems.

Renewable energy, natural resources, technological innovation, and consumption‐based carbon emissions in China: Tracking environmental neutrality

AbstractAlthough numerous empirical studies have scrutinized the impact of technological innovation, renewable energy, and natural resources on carbon emissions (CCO2), there is a lack of empirical knowledge of consumption‐based CCO2 emissions. This study examines the impacts of technological innovation, renewable energy, and natural resources factors on CCO2 emissions in China. In addition, the present work considers the role of the banking sector in environmental neutrality in China from 1990 to 2019. For this purpose, the sophisticated approach of “bootstrap autoregressive distributed lag (BARDL)” is applied to explore the association of the selected indicators on CCO2. The outcomes indicate that (i) economic growth and natural resources negatively impact environmental neutrality; (ii) environment‐related technologies and renewable energy are crucial to promoting environmental neutrality; and (iii) banking sector in China has a positive association with CCO2 emissions. The findings of this work recommend using effective measures to mitigate ecological pollution by using green energy sources and strengthening the banking sector by offering environment‐friendly investment loans. Likewise, strategies should be designed that reinforce sustainable development.

Prolonged flooding followed by drying increase greenhouse gas emissions differently from soils under grassland and arable land uses

Several climate change scenarios have predicted that heavy precipitation could result in prolonged flooding (PF) and flooding–drying (FD) of soils under agriculture. The influence of PF and FD on soil greenhouse gas (GHG) fluxes and ammonium‑nitrogen (NH4+-N) and nitrate‑nitrogen (NO3−-N) dynamics of arable and grassland soils, the dominant land-use types in the UK, remain unclear. A two-month soil incubation experiment was conducted to determine the impact of PF and FD on soil N dynamics and GHG fluxes from arable and grassland soils. Arable soil emitted more N2O-N when soil moisture exceeded 100% water-holding capacity (WHC) compared to grassland soil under PF. Grassland soils exhibited increased N2O-N emissions than arable soils when soil moisture was lower than 100% WHC under FD. When soil moisture exceeded 100% WHC, the available NO3−-N in the soil contributed 58% of N2O-N emissions potentially by denitrification from grassland. When soil moisture was lower than 100% WHC, soil NH4+-N and NO3−-N contributed 71% of N2O-N emissions, which suggests coupling of nitrification-denitrification processes in driving high emissions from grassland soils. The N2O-N and CO2-C emissions increased with the incubation time under FD. Moreover, FD significantly increased N2O-N, CO2-C, and CH4-C emissions in grassland soil by 0.93, 2.15, and 37.29 times more than arable soil, respectively. These findings points to important tipping points in the source strengths of GHG fluxes from the two land use types differently. Future land use changes should consider the contribution of the changing dynamics of GHG fluxes in light of climate extremes and its implications for net zero greenhouse gas emission ambitions.

Green finance and clean taxes are the ways to curb carbon emissions: An OECD experience

The rising carbon dioxide emissions pose a significant threat to environmental sustainability. The attention, once primarily on production-based emissions, has recently shifted towards consumption-based carbon (CCO2) emissions. While much of the existing literature focuses on production-based impacts, the interplay between green finance, environmental taxes, and CCO2 emissions is yet to be comprehensively explored. To address this knowledge gap, our study investigates the dynamics of these variables across 21 OECD economies from 1990 to 2020, also considering trade activities and economic growth. We employ the second-generation unit root test and methodologies to manage cross-sectional dependence and slope heterogeneity, establishing cointegration among the variables of interest. Applying an innovative quantile regression method adapted for non-normal data distribution, our results highlight economic growth and imports as major drivers of CCO2 emissions, with exports, green finance, and environmental taxes serving as substantial mitigating forces. This pattern remains consistent across all quantiles. Our analysis reveals a unidirectional influence of trade on CCO2 emissions, with bidirectional causality observed between economic growth, green finance, environmental taxes, and CCO2 emissions. In light of our findings, we recommend fostering green finance and levying environmental taxes in industries with high pollution output as key strategies for advancing environmental sustainability.

The effects of trade, renewable energy, and financial development on consumption-based carbon emissions (comparative policy analysis for the G20 and European Union countries).

Recently, there has been a lot of focus on global trade and consumption-based carbon (CCO2) emissions. More research, however, has examined how financial development (FD) and international trade in renewable energy affect CO2 emissions. Furthermore, there are no distinct trends in the research about how globalization affects environmental quality. Our research analyzes and empirically investigates the relationship between CCO2 emissions and renewable energy, FD, and trade. A large panel of data from 41 G20 and European Union (EU) countries is assembled for empirical analysis from 1990 to 2019. The practical outcomes of panel quantile regression and feasible generalized least square (FGLS) approaches display that renewable energy and FD positively relate to CCO2 emissions; furthermore, trade to GDP hurts CCO2 emissions; market classification has been taken as a control variable which shows that the developed countries released more carbon than non-developed countries. These results suggest that the financial sector focuses more on supporting companies that use ecologically friendly techniques and pushing them to use other energy well-organized technologies in their production processes. As a result, CCO2 emissions will be reduced, preventing environmental damage at the non-renewable energy plant.

Natural resources and undesired productions of environmental outputs as green growth: EKC in the perspective of green finance and green growth in the G7 region

Green Growth is measured via generating income from natural resources consumption and undesired productions of environmental outputs (Green growth is a crucial economic growth perspective). Similarly, greenhouse gas, carbon, and other pollution emissions are regarded as the leading causes of climate change and global warming, swiftly increasing over the past few decades. As a result of the increased income level, the economic activities in developed economies increase the use of trade-adjusted carbon (CCO2) emissions. This research analyzes the nexus between globalization, green finance, green growth, and CCO2 emissions in the G7 economies throughout 1990–2021. Using second-generation estimation approaches, the study found the cointegration between the variables. Due to the non-symmetric data distribution, it is essential to use the novel moment quantile regression approach method. The examined outcomes indicate that income (economic) growth is progressive in CCO2 emissions. Whereas globalization exhibits a significant adverse influence on the CCO2 emissions in the region. Further, the results revealed that green finance and green growth are not yet developed, positively related to the CCO2 emissions. However, after reaching a threshold level, both these variables substantially decline the level of CCO2 emissions in the region. The models' robustness is validated via the bootstrap quantile estimator. In addition to the robust analysis, this study also found that the region's leading factors of CCO2 emissions are natural resources, including minerals and natural gas. Based on empirical estimates, this study suggests increased investment in green finance.

How does environmental policy stringency influence green innovation for environmental managements?

In the struggle to limit global climate change and rising temperatures, the United Nations Climate Change Conference (COP27) was held in Egypt last November. Bringing together nations to recognize climate change as a global concern and to create new “building blocks” to enhance the implementation of the Paris Agreement through actions that can move the world toward a greener, and carbon free future. This study examines a panel of high-income economies from the Organization for Economic Cooperation and Development (OECD) to investigate the empirical linkage between Green Innovations (GI), Disaggregated trade (exports and imports), Environmental policy stringency (EPS), and Consumption-based carbon dioxide emissions from 1990 to 2020. We proceed with the panel cointegration check based on the results of the diagnostic tests. The method of moment quantile regressions (MMQR) is used to investigate the relationships between CCO2 and various variables in different quantiles. The data show that GI, export, imports, and EPS are major contributors in explaining the substantial variance in CCO2 emissions in the chosen panel. Specifically, severe environmental rules boost the benefits of green technologies through the use of environmentally friendly technology. Imports, on the other hand, have been determined to be harmful to environmental quality. As a result, member economies should reform their environmental policies to include consumption-based emissions objectives and discourage people’ desire for carbon-intensive items from developing countries. This will eventually result in a decrease in consumption-based carbon emissions, assisting in the achievement of true emissions reduction goals and COP27 targets.

Role of renewable energy and fiscal policy on trade adjusted carbon emissions: Evaluating the role of environmental policy stringency

There are scant empirical studies investigating the impact of fiscal policy and environmental policy stringency on consumption-based carbon emissions, especially within the context of the BRICS countries. To fill the voids in prior studies, the current study evaluates the effect of fiscal policy and environmental stringent policy on consumption-based carbon emissions. The study also incorporates other drivers of fiscal consumption-based carbon emissions (CCO2) emissions, such as disintegrated energy and economic growth, using data from 1990 to 2019. Since second-generation econometric methodologies such as augmented mean group (AMG) and common correlated effect means group (CCEMG) were used in the empirical research, this work presents trustworthy and solid empirical evidence. The quantile regression performs better when dealing with unobserved heterogeneity for each cross-section. Quantile regression gives more consistent and trustworthy results than traditional econometric approaches because heterogeneity and non-normality are identified in the dataset. The results from these estimators show that economic growth, nonrenewable energy, and government expenditure intensify CCO2 emissions while taxation revenue, environmental policy stringency and renewable energy mitigate CCO2 emissions. Furthermore, the panel causality test results show that taxation revenue, government expenditure, environmental policy stringency, and renewable energy can predict CCO2 emissions. Policy recommendations are put forward based on these results.

Influence of Reduced Tillage, Fertilizer Placement, and Soil Afforestation on CO2 Emission from Arable Sandy Soils

Extreme meteorological phenomena resulting from climate change caused by anthropogenic emissions of greenhouse gases (GHG) require the implementation of CO2 mitigation practices from various industries, including agriculture. Owing to varying soil, climatic, and agrotechnical characteristics, they may have different efficiencies in mitigating soil CO2 emissions. The aim of this study was to evaluate the impact of three mitigation practices (reduced tillage, deep fertilizer placement, and soil afforestation) on CO2 emissions from sandy soils in Central and Eastern Europe allowing the prediction of the mitigation effectiveness of these methods. The average soil CO2-C flux under a moldboard plow system ranged from 218.4 ± 108.4 to 263.7 ± 176.6 mg CO2-C m−2 h−1 and under a reduced tillage system ranged from 169.7 ± 118.7 to 163.6 ± 115.2 mg CO2-C m−2 h−1 in a year with normal meteorological conditions and under extreme drought conditions, respectively. In the dry growing season, similar amounts of CO2-C were released from the soil fertilized to the soil surface and after mineral fertilizers application at a depth of 10 cm and 20 cm (133.7 ± 155.8, 132.0 ± 147.5 and 131.0 ± 148.1 mg CO2-C m−2 h−1, respectively). Meanwhile, from the forest soil, the average CO2-C emission in the dry growing season was 123.3 ± 79 mg CO2-C m−2 h−1. The obtained results revealed that reduced tillage on sandy soil allowed for reduced CO2 emissions from the soil by 28.7–61.2% in normal and drought weather, respectively. Under drought conditions, deep fertilizer placement did not reduce CO2 emissions from sandy soil, and CO2 emissions from forest soils were even higher than from arable soils.