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The total amount of global municipal solid waste (MSW) will reach 3.5 billion tons by 2050, thereby bringing tremendous environmental pressure, especially global warming. Large amounts of greenhouse gases (GHGs) have been released during MSW management (MSWM). Accounting for GHG emissions is a prerequisite for providing recommendations on appropriate treatment options to mitigate emissions from MSWM systems. There are many methods involved in estimating emissions. This paper summarizes the computing models commonly used in each process of the integrated MSWM system and emphasizes the influence of parameters and other factors. Compared with other disposal methods, landfilling has the highest emissions, commonly estimated using first-order decay (FOD) methods. Emission reduction can be realized through waste to energy (WtE) and resource recovery measures. IPCC is commonly used for calculating direct emissions, while LCA-based models can calculate emissions including upstream and downstream processes, whose results depend on assumptions and system boundaries. The estimation results of models vary greatly and are difficult to compare with each other. Besides, large gaps exist between the default emission factors (EFs) provided by models and those F measured in specific facilities. These findings provide a systematic view for a bettering understanding of MSW emissions as well as the estimating methods and also reveal the key points that need be developed in the future., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

In this paper, it is aimed, for the first time, at deriving simple models, leveraging the trend analysis in order to estimate the future greenhouse gas emissions associated with coal combustion. Due to the expectations of becoming the center of global economic development in the future, BRICS-T (Brazil, the Russian Federation, India, China, South Africa, and Turkiye) countries are adopted as cases in the study. Following the models' derivation, their statistical validations and estimating accuracies are also tested through various metrics. In addition, the future greenhouse gas emissions associated with coal combustion are estimated by the derived models. The results demonstrate that the derived models can be successfully used as a tool for estimating the greenhouse gas emissions associated with coal combustions with accuracy ranges from at least 90% to almost 98%. Moreover, the estimating results show that the total amount of greenhouse gas emissions associated with coal combustions in the relevant countries and in the world will increase to 14 BtCO 2eq and 19 BtCO 2eq by 2035, with an annual growth of 2.39% and 1.71%, respectively. In summary, the current study's findings affirm the usefulness of trend analysis in deriving models to estimate greenhouse gas emissions associated with coal combustion., (© 2024. The Author(s).)

The focus areas for COP-27 include fast-tracking our worldwide evolution to decarbonization in the energy industry and clean energy as the stockholder's effort to restrict global warming to 1.5 °C (2.7 °F) above the levels of pre-industrial. After this COP-27 summit, most of the developing countries will provoke challenges in accomplishing their targets of a carbon neutrality and sustainable economy with the minimum possible greenhouse gas (GHG) emissions. In this regard, the G-7 countries, despite prosperous cautiously, have not prospered in certifying ecological welfare in tandem. Nevertheless, these economies cannot endure their green growth attainments without instantaneously safeguarding their ecological features. To do this, green technologies and environmental taxes are vital apparatuses that can assist in accomplishing carbon neutrality objectives. Consequently, the current study investigates the influence of green technologies, environmental taxes, natural resources, renewable, and fossil fuel energy on GHG emissions in G-7 nations from 1994 to 2020. After confirming the cross-sectional dependency issue, this study uses a battery of second-generation panel methods to estimate the empirical findings. The estimated evidences discovered that green technologies, environmental taxes, and renewable protect environmental quality in the long run. However, natural resources and fossil fuel energy increase the GHG emissions levels. Furthermore, this study suggests that G-7 economies should be more focus on green technologies, imposing environmental taxes eco-innovation related developments, and promote renewable energy projects through the sustainable alteration of their consumption and production processes., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Emission trading scheme (ETS) is one of the most important ways to mitigate carbon emissions. As the largest carbon emitter in the world, China implemented ETS policy in 2013. Whether ETS policy can boost enterprise green technological innovation (GTI) quality in China remains to be discussed after reviewing the previous studies. All 318 A-share listed enterprises of China's eight high-carbon emission industries from 2008 to 2021 are chosen to investigate the influence of the ETS policy on enterprise GTI quality by the difference-in-difference (DID) method. Furthermore, heterogeneous effects of ETS policy on the quality of enterprise GTI are analyzed from three aspects: enterprise life cycle, corporate environmental management, and industry classification. The findings indicate that China's ETS policy has a positive influence on the quality of GTI in eight high-carbon emission industries. Further heterogeneity analysis demonstrates (1) China's ETS policy has varying effects on the eight high-carbon emission industries; (2) China's ETS policy can improve GTI quality of enterprises in the maturity stage of their life cycle, but not for those in their growth stage. (3) Comparing the effect of China's ETS policy, GTI quality of enterprises with higher environmental management score is stimulated, while GTI quality of those with lower score is not., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The foremost purpose of the study is to establish a point that an economy of G-7 countries has an abundance of resources to tackle the environmental changes that occur in the world, but these countries are still behind the line because in this modern era, environmental performance changes their shape, dimension, and nature very frequently and create a huge impact on globalization of world economy. To fill this gap, we use green investment, institutional quality, and economic growth on environmental performance for this, we use four proxies for green investment and three proxies for greenhouse gas, and we also use six proxies of institutional quality to do this using period of 1997 to 2021. Moreover, we have used the panel nonlinear autoregressive distributed lag method to evaluate the long-run and short-run asymmetric effects of green investment, institutional quality, and economic growth on greenhouse gas emissions. The findings of the study affirm that the positive change of green investment has a positive and significant relationship with environmental performance, while the negative change of green investment has a significant and positive influence with environmental performance in the long run. Furthermore, the outcomes demonstrate that the positive shock of institutional quality has a positive and significant relationship with environmental performance, while the negative shock of intuitional quality has a significant and positive association with environmental performance in the long run, whereas positive change in economic growth has a positive and significant with the environmental performance, while the negative change of economic growth has a positive effect with environmental performance in the long run. This study finds future precautions that institutional quality has to perform exceptionally and shows results very rapidly, while green investment with economic growth has also made a deadly combination to control greenhouse gas emission, so the role of G-7 countries is pretty clear and straight. Furthermore, it is suggested that governments and policymakers take a proactive stance to promote resource acquisition and investment across all industries. To reduce gas emissions, public interest might also be complementary to private ones. So, economic policymakers, specifically in G-7 countries, should consider strategies that support sustainable economic growth., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This research aims to investigate the presence of environmental Kuznets curve hypothesis while considering the financial sector variables such as financial innovation, financial inclusion, and financial development on the environmental quality as well as achieving the energy efficiency in the Middle Eastern region. Current research employs a panel conditionally homogenous autoregressive (PCHVAR) specification for the annual dataset covering the time 2001-2021. The estimates reveal that in the short run, economic growth and financial sector variables adversely affect the environment quality by emitting more greenhouse gases, whereas in the long run, higher economic growth and developed financial sector help to improve the quality of the environment and energy efficiency. These findings are also verified through the Granger causality test. This research provides insights to establish long-term policies for facilitating investments in green technology and energy conservation in the Middle Eastern region., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

In Europe, there has been a significant shift in the movement of people and things. Nonetheless, despite the fact that transportation is an important component of the supply chain, its environmental consequences pose a severe threat to the ecosystem as a whole. As a result, we intend to explore the relationship between transportation, economy, and CO2 emissions. We used the Static method with Pooled OLS, then tested the Granger causality to validate the use of dynamic approach via the GMM system. The major findings revealed that GDP and trade openness had a considerable impact on CO2 emissions. Although the three modes of transportation have different effects on CO2 emissions, road density has a positive and considerable impact on CO2 emissions. The railway network is inversely connected to CO2 emissions. While the quantity of flight passengers has no substantial effect on emissions. In terms of the impulse response function, there is an initial shock in period 2 for the response of air passengers carried to CO2 emissions, followed by convergence back to zero in period 6, whereas road density has a slight decrease in period 2 with a post shock peak in period 4, followed by convergence back to zero in period 5. The variance decomposition results reveal a little increase until the fifth period for road density, air passengers, and trade openness with coefficients equal to 0.0893, 0.636, and 1.573, respectively, after which these three variables offer decreasing coefficients., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Climate events significantly affect the lives of not only humanity but also all living things. Just as transformation in the ecosystem affects sectors, all sectors also transform the ecosystem. It is stated that the agricultural sector is at the root of the deterioration in the ecosystem due to the effect of intensive agriculture after the green revolution. It can be stated that, with an understanding far from the concept of sustainability, the foodstuffs and their waste produced in the agricultural sector are considered among the causes of climate change, which is now concentrated on the whole world in the third millennium. In this study, the effect of N 2 O gas released from produce residues and the release of enteric fermentation on the level of CO 2 released from agricultural-food systems was investigated using advanced econometric models. The findings reveal that both factors are effective. However, it can be stated that the effect of N 2 O gas released from the produce residues is greater. Suggestions such as improving feed rations and maintaining herd management strategies within certain patterns to reduce the level of enteric fermentation may contribute to the process. In produce residue management, turning waste into compost and expanding bioenergy power plants will ensure both waste disposal and resource continuity in generating energy. Otherwise, the decreasing resources in the world may come to an end, and there will be disruptions and problems in the agricultural sector, as in all sectors. Considering the increasing world population, it is inevitable that food supply security may be endangered and the hunger problem may reach an irreversible level., (© 2024. The Author(s).)

As an important policy instrument to achieve greenhouse gas emission reduction, carbon emissions trading has also promoted the green transformation of enterprises while achieving carbon reduction targets. This study uses the implementation of the Chinese carbon emissions trading pilot policy (CETPP) as a quasi-natural experiment and analyzes the impacts of the CETPP on the green transformation of enterprises with the difference-in-differences (DID) method based on a sample of 297 listed Chinese A-share high-energy-consuming enterprises. The result findings show that CETPP can significantly promote the green transformation of enterprises. The heterogeneity analysis also reveals that CETPP has differential effects on enterprises belonging to different industries, which is caused by the fact that enterprises in different industries differ significantly in their green transformation paths and modes. Moreover, CETPP has a significant facilitating effect on the green transformation of non-state-owned enterprises compared to state-owned enterprises. Finally, marketization and enterprise social responsibility are two major mechanisms for the CETPP to promote the green transformation of enterprises. Our findings reveal that policymakers should further deepen the dynamic management of carbon emission allowances and guide enterprises to actively undertake social responsibility, thus leveraging the market regulation mechanism to promote the green transformation of enterprises., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The environmental situation of our planet is seriously degraded due to the massive spread of greenhouse gases. Several aspects can influence the quality of the environment. The present study debates the effect of financial inclusion (FI) and renewable energy consumption (REC) on the emissions of carbon dioxide (CO 2 ) emissions of the top ten countries in technological advancement (TTCTA) over the period 2004-2019. Other deterministic factors are included in the empirical study such as real gross domestic product (GDP), non-renewable energy consumption (NREC), and technological advancement (ATECH) to check their influence on environmental indicators. PMG-ARDL approach, cointegration techniques, and Granger causality tests are applied for the empirics part. In the long run, the outcomes show that real GDP, REC, and technological advancement contribute to decreasing CO 2 emissions, while NREC and FI contribute to increasing emissions levels. In the short run, only GDP and NREC significantly deteriorate the environmental quality. Granger shows a long-run bidirectional causality between CO 2 emissions, economic growth, REC, NREC, and ATECH., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Papers on population aging and the effects of environmental quality on health expenditure have critical policy consequences. However, findings in the relevant literature are mixed, and papers generally focus on developed countries. To provide new information to the literature, this paper examines the impact of globalization, economic growth, greenhouse gas emissions, and population aging on health expenditures in emerging market economies with annual data for the period 2000 to 2018. The paper follows a second-generation advanced panel data method that considers cross-sectional dependency. The estimation results reveal that population aging, economic growth, and greenhouse gas emissions have an increasing effect on health expenditures, while globalization has a decreasing effect. Furthermore, one-way causality running from population aging to health expenditures is confirmed, while a feedback causality relationship is observed between health expenditures and other indicators (globalization, economic growth, and greenhouse gas emissions). After all, the outputs of this paper can provide critical policy implications about the relationships between aging, globalization, air quality, and health expenditures in developing countries., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This article examines the hypothesis of deterministic emissions convergence for a panel of the BRICS and Indonesia to advanced countries' emissions levels as well as to Sweden (which is a country that has clearly gone through decoupling) using a novel dataset with ten series of annual estimates of anthropogenic emissions comprising aerosols, aerosol precursor and reactive compounds, and carbon dioxide from 1820 to 2018. For that purpose, we employ four novel panel unit root tests allowing for several forms of time-dependent and state-dependent nonlinearity. The evidence supports deterministic convergence following a linear process for carbon dioxide, whereas the adjustment is asymmetric and nonlinear for carbon monoxide. Methane and nitrogen oxides exhibit logistic smooth transition converging dynamics. In contrast, black carbon, ammonia, nitrous oxide, non-methane volatile organic compounds, organic carbon, and sulfur dioxide emissions diverge. These results have implications for the abatement of greenhouse gases emissions at the global level, given the high share of emissions of the BRICS., (© 2022. The Author(s).)

The spread of communicable diseases, such as COVID-19, has a detrimental effect on our socio-economic structure. In a dynamic log-run world, socio-economic and environmental factors interact to spread communicable diseases. We investigated the long-term interdependence of communicable disease spread, economic prosperity, greenhouse gas emissions, and government health expenditures in India's densely populated economy using a variance error correction (VEC) approach. The VEC model was validated using stationarity, cointegration, autocorrelation, heteroscedasticity, and normality tests. Our impulse response and variance decomposition analyses revealed that economic prosperity (GNI) significantly impacts the spread of communicable diseases, greenhouse gas emissions, government health expenditures, and GNI. Current health expenditures can reduce the need for future increases, and the spread of communicable diseases is detrimental to economic growth. Developing economies should prioritize economic growth and health spending to combat pandemics. Simultaneously, the adverse effects of economic prosperity on environmental degradation should be mitigated through policy incentives., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Environmental pollution and climate change have become nontraditional global security threats. As China's economy grows, the country faces an increasing number of challenges associated with improving atmospheric quality and reducing greenhouse gas emissions. Based on China's dynamic noncompetitive input-output tables and data on energy consumption and emissions from 1994 to 2016, a hybrid input-output model is constructed to identify high-energy-consuming sectors and to quantify the impact of industrial restructuring on the intensity of air pollutant and greenhouse gas emissions from these sectors. The empirical results indicate that the impact of industrial restructuring on the intensity of air pollutant and greenhouse gas emissions from high-energy-consuming sectors was nonlinear and has undergone a "promotion reduction" shift. This study also found that the impact of industrial restructuring is more significant on the intensity of greenhouse gas emissions than on the intensity of air pollutant emissions; furthermore, the reduction in greenhouse gas emission intensity achieved by industrial restructuring after 2008 began to show results. Based on the findings of this study, we make recommendations such as the need for the Chinese government to continue to promote supply-side structural reforms in the energy sector., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Over time, short-lived climate forcers (SLCFs) have gradually gained prominence as a rationale in the international global mitigation strategy to preserve temperature below 1.5 °C by the end of this century. Scientists cite the short-term gains in air quality and health co-benefits associated with reducing SLCFs as grounds for raising the pressure on governments to eliminate SLCFs rapidly and aggressively. There is little research on whether deep SLCF mitigation during the next decade is feasible in low- and middle-income nations, particularly the hydrocarbon-based economy. This study estimates current and future emissions of potent SLCFs as methane (CH 4 ) hydrofluorocarbons (HFCs) in Oman using the basic tier 1 approach of the Intergovernmental Panel on Climate Change (IPCC) greenhouse gases (GHG) inventory Guidelines of 2006. Current and future emission of black carbon (BC) was also quantified using specific emission factors. A total of 38,268 Gg of SLFCs were released into the atmosphere in Oman in 2015, accounting for 38.8% of the country's total GHG emissions, and is expected to rise significantly over the next decade to reach 67,777 Gg by 2030. The analysis reveals that the source of Oman's highly potent SLCF emissions is associated with key and critical economic sectors such as the oil and gas industry, heavy road transportation, residential air conditioning (RAC), and industrial refrigeration. These vital economic sectors impose a "Grand Challenge" on the immediate reduction of SLCFs in Oman and the Gulf Cooperation Council (GCC). Accomplishing a rapid, significant reduction in highly potent SLCFs from the three challenging sectors over a 5- to 10-year time period does not appear feasible or realistic in the context of international market mechanisms, socioeconomic factors, and mitigation targets. Achieving a significant reduction in SLCFs for a hydrocarbon-based economy requires a profound economic shift. Creating an effective long-term vision for a post-oil economy over the next two decades provides a sound foundation for implementing economic and societal transformation policies incorporating near-zero-emission measures for the potent SLCFs., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Climate change is an important environmental issue that is causing global temperatures to rise. The primary environmental targets are to reduce carbon emissions and mitigate the impacts of climate change. The refrigeration system is a major emitter of greenhouse gases because it uses refrigerants with a high global warming potential. Due to its excellent thermophysical properties, the R134a is the most commonly used refrigerant in refrigeration systems; however, its high GWP will need to be disposed of earlier. To achieve global environmental objectives, conventional refrigerants need to be replaced with environmentally friendly and energy-efficient refrigerants. In the present work, a mathematical simulation has been carried out to check the performance of low-GWP refrigerant mixtures as environmentally friendly alternatives for R134a in a low-temperature system. In this study, a 190-L domestic refrigerator has been considered a low-temperature system. This simulation was performed using the MATLAB software, and the REFPROP database was used to obtain thermophysical properties of the refrigerants. The results showed that the COP of HFO mixtures decreased by 4-20% compared to R134a. The exergy efficiency of the R1234ze/R134a mixture improves by 4 to 16% as compared to the other mixtures and its performance is very similar to the R134a. Due to the environmentally friendly properties and flammability aspects, R1234ze/R134a (90/10) could be a good substitute for R134a in lower temperature applications and to satisfy the Montreal and Kyoto Protocol expectations., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This paper measures the socioeconomic and resource-efficient influences of digital transformation in the public sector in the European region. To capture the socioeconomic impacts of digital public services, we employ a socioeconomic score index calculated as the unweighted average of the re-scaled scores for changes in employment, exports, and turnover from eco-industries. Regarding resource-efficient impacts, we employ the resource efficiency score index measured as the unweighted average of the re-scaled scores for material, energy productivity, and the intensity of greenhouse gas (GHG) emissions. Measures such as user-centricity, business mobility, and key enablers are used to demonstrate the level of digitalization in the public sector. According to our estimations based on various econometric techniques, digital public services have a favorable effect on the economy and society through a positive impact on employment, exports, and turnover of eco-industries. The effects of digitalization on resource productivity follow a nonlinear U-shaped curve, suggesting that the improvement of resource efficiency is only present when the digital transformation process reaches a certain level., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Good governance and natural resource rent are important pillars of sustainable development. The paper explores the role of governance and natural resource rent in enlightening the economic, social, and environmental sustainability. To achieve this objective, panel data for six selected South Asian countries from 1996 to 2020 is used. The second-generation unit-root test of Pesaran and panel unit root test of structural break proposed by Karavias and Tzavalis (Computat Stat Data Anal 76: 391-407, Karavias and Tzavalis, Comput Stat Data Anal 76:391-407, 2014) are utilized to examine the stationarity of variables and results confirm that variables are stationary at first difference. We used the first-generation cointegration test, i.e., Pedroni (1999), Kao (1999), and (Westerlund, Oxford Bull Econ Stat 69:709-748, 2007) and second-generation cointegration given by (Westerlund and Edgerton, Oxford Bull Econ Stat 70:665-704, 2008) test to confirm the co-integration and make long-run analysis by using fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) models. For robustness we also estimated cross-sectionally augmented autoregressive distributed lag model which is important to deal with heterogeneous slope coefficients and unobserved common factor. To check whether the residuals of the model were cross-sectionally dependent or not, we used Breusch and Pagan (1980) and Pesaran (2004) tests and confirmed the heterogeneity among sample countries by using (Pesaran and Yamagata, J Econometr 142:50-93, 2008) homogeneity test. The coefficients of long run analysis conclude that governance improves the environment by reducing greenhouse gas emissions (GGE) and is positively and significantly related to growth and social sector. Moreover, gross domestic product and trade openness are positively related to economic and social effect, whereas natural resources rent has a positive association with GGE. But the results confirm that with good governance, the natural resource rent can decrease greenhouse gas emissions. The recommendations of the study for policy purposes focus on that the governance will reduce GGE emissions and increase social and economic development and the countries should use more environment-friendly sources., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Carbon dioxide (CO 2 ) is the most prevalent greenhouse gas that triggers climate change, which in turn leads to catastrophic effects on trade, business, human health, and other areas. Understanding the characteristics and tendency of CO 2 emissions will improve policy making and mitigation strategies. Understanding the linearity or nonlinearity and convergence or divergence of CO 2 emissions is essential for selecting appropriate modeling techniques and for designing reliable policies. Therefore, this paper investigates the nonlinearity and nonlinear convergence of CO 2 emissions among the world's top 20 highest emitting countries, which account for 80% of the world's total emissions. To check the nonlinearity of CO 2 emissions, the McLeod-Li nonlinearity test, the Terasvirta nonlinearity test, and the Brock-Dechert-Scheinkman-LeBaron nonlinearity test are employed. The convergence or divergence of CO 2 emissions is checked by using the Kilic nonlinear unit root test, the Hu and Chen nonlinear unit root test, and the Park and Shintani nonlinear unit root test. The findings revealed that the CO 2 emissions process in all the 20 countries is nonlinear; 17 countries exhibit convergence in CO 2 emissions while the other 3 countries diverged from 1960 to 2018. Based on the results, the nonlinear nature of CO 2 emissions requires special attention from scholars when selecting estimation techniques for CO 2 emissions. For countries with convergence, emissions trends can be used to forecast future values of CO 2 emissions. Moreover, strong policy actions are required to achieve convergence in the countries with divergence., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This paper estimates the influences of different industries on the carbon prices and selects the industries with high market power in the carbon market. To realize price discovery in the carbon market and improve the market efficiency, we suggest that industries with higher market power should be included in the market prior to other industries. Using the LASSO regression to analyze the data from the pilot markets of China's ETS and related industrial product outputs, we find that among all related industries, the petrochemical and chemical industries affect the carbon price the most and hence should be included in China's ETS with priority. The power generation industry, though regarded as the major entity of emission control, imposes weaker influences on the carbon price. Industries that may be incorporated in China's ETS later include the transportation equipment manufacturing and the mining and metal industries., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Due to the growing demand for livestock products both within the country and in foreign markets, there is a need to boost the production of maize-based animal feed in Thailand. However, greenhouse gas (GHG) emissions and the potential for reducing these emissions through the production of various types of animal feed remain ambiguous. Thus, this study is aimed at estimating GHG emissions from broiler, layer, and swine feed production in Thailand and identifying economic advantages of alternative methods to mitigate those emissions. Field surveys were carried out to quantify the input and output of energy and materials in 10 commercial feed mills so as to determine greenhouse gas emissions using proper emission factors. The scope of this study is based on the cradle-to-gate approach. The functional unit used for greenhouse gas evaluation was kg CO 2 -eq/t of feed. Total greenhouse gas emissions from broiler, layer, and swine feed production were found to be 650 ± 20, 706 ± 20, and 466 ± 20 kg CO 2 -eq/t of feed, respectively. Layer feed production created the highest greenhouse gas emissions, 1.09 and 1.52 times that of broiler and swine feed production, respectively. This is because layer feed required intensive fish meal (FM) as protein sources for improving egg quality. In broiler and swine feed production, the most significant emissions are attributed to the use of maize grain (MG) and soybean meal (SBM) as sources of carbohydrate and protein in those feeds. However, animal feed production operation at the existing condition still emits CO 2 to the atmosphere as CO 2 fixation efficiencies of 69.3, 67.5, and 75.9% for broiler, layer, and swine feed, respectively. From the sustainable resource consumption scenarios in broiler, layer, and swine feed production, approximately 39.6, 49.6, and 43.3% reduced carbon emissions could be achieved by using MG rotated with SB in the maize plantation phase and substituting FM, wheat grain and fossil fuel needed in the manufacturing process with SBM, locally-produced tapioca chips and biomass energy. Consequently, the potential cost savings of such replacements were determined to be 54.0, 62.5, and 29.7 USD/t of feed, respectively., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Greenhouse gas emissions and global warming are recent issues of upward trend. This study sought to underline the causal relationships between engagement modes with green technology, environmental, social, and governance (ESG) ratio, and circular economy. Our investigation also captured benchmarking of energy companies' circular economy behaviors. A hybrid-stage partial least squares structural equation modeling (PLS-SEM) and multi-criteria decision-making (MCDM) analysis have been adopted. This study collected 713 questionnaires from heads of departments and managers of energy companies. The findings of this study claimed that engagement modes with green technology affect the circular economy and sustainability. The findings revealed that ESG ratings have a mediating role in the nexus among engagement modes with green technology and circular economy. The results of the MCDM application revealed the identification of the best and worst energy companies of circular economy behaviours. This study is exceptional because it is among the first to address the issues of greenhouse gas emissions by providing decisive evidence about the level of circular economy behaviors in energy companies., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The aim of this study is to employ panel data approach to investigate determinants of total GHG emissions in all European Union (EU) economies in years 1990-2018 and evaluate the role of nuclear energy in climate change mitigation. It incorporates the following variables potentially affecting the greenhouse gas (GHG) emissions: economic-gross domestic product (GDP) per capita and GDP per capita squared to control for non-linear relationship between economic output and GHG emissions; structural-economic structure reflected in the share of manufacturing in total gross value added (GVA); energy-mix-share of nuclear power and renewable sources in total gross electricity production; environmental policy-the amount of environmental taxes (as a percentage of GDP) and the number of European Union Emission Trading System (EU ETS) allowances auctioned or sold (as a percentage of GDP per capita). The main findings of this study confirm the long-run relationship between GHG emissions, GDP level, and energy-mix variables. It endorses that higher share of nuclear power together with renewables in gross electricity production has significant impact on GHG emissions in the long run. In turn, it also validates the existence of the environmental Kuznets curve for selected countries., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Although many variables that have adverse impacts on the sustainable environment are investigated from many aspects, some variables are missing. In this study, it will be simultaneously focused on the relation between refugees, governance, sustainable environment, economic growth, energy consumption, and supplementary explanatory variables, HDI, the trade deficit, and financial development, for Bangladesh, Ethiopia, Jordan, Lebanon, Pakistan, Sudan, and Uganda using the panel quantile autoregressive distributed lag (PQARDL) and causality methods for the 1996-2019 period. Long-run coefficients found by PQARDL method showed the evidence of the long-run relationship between the sustainable environment, refugee population, governance, economic growth, energy consumption, and explanatory variables. Both traditional and Dumitrescu and Hurlin (2012) causality tests determined the evidence of a unidirectional causality from political and economic governance to greenhouse gas (GHG) emissions and deforestation, as well as a unidirectional causality from refugees to GHG emissions and deforestation., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Recently, the world has faced environmental disasters mainly due to global warming. One of the main reasons for global temperature imbalances is the greenhouse gases (GHG) that soar the atmosphere's heat. The major aim of the current study is to explore whether the livestock population is the main contributor to GHG emission through econometric estimations. In this study, we examine the impact of livestock population with other explanatory variables-GDP per capita, Economic Complexity Index (ECI), ecological balance, and total patent applications-over GHG emission of 25 countries responsible for 76% of GHG emission between 1990 and 2017. To investigate the relationship of variables, Fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) are used, as well as panel causality. Also, the relationship is examined by using the responsiveness scores (RS) approach. The empirical results reveal that all variables have a causal relationship with GHG emission. GDP per capita, ECI, and livestock population enhance the GHG emission whereas square of GDP per capita and ecological balance decline the environmental degradation. The paper demonstrates that the environmental Kuznets curve is valid and supports the literature. Lastly, the RS estimation results reveal that the livestock population is causing higher GHG emissions for all countries in the analysis, contrary to other independent variables. Governments should promote carbon-neutral meat production facilities instead of traditional beef farms to live in a more sustainable world. In the future, countries that invest in research and development (R&D) for less emission meat production will have a comparative advantage in the sustainable international meat market., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The use of the ornamental stone wastes, such as the originated from granite or marble, has been the subject of technological studies that evaluated its application in ceramic and cement materials; however, some complementary assessments, such as its life cycle assessment, are still not well explored in the literature. Therefore, the objective of this study was to discuss the main environmental impacts related to the manufacture of ceramic specimens, comparing conventional production versus the production of specimens incorporated with ornamental stone wastes. For this, the life cycle assessment was conducted in accordance with ISO 14.040 and 14.044. For this research, the ornamental stone wastes from the municipality of Cachoeiro do Itapemirim-ES and clay from the municipality of Campos dos Goytacazes-RJ were used. The system was modeled, using the SimaPro 9.0 software and the Ecoinvent database 3.3, for the life cycle assessment of the ceramic specimens and the potentiality regarding the use of ornamental stone wastes in ceramic materials using alternative input energy for burning, contributing to the effectiveness of the solid wastes reuse by the ceramic industry. The evaluation identified that the ornamental stone wastes incorporated into the ceramic specimens had significant potential in reducing environmental impacts and that the alternative input energy in burning stage makes them even more relevant. The study points out as the main result, the reduction of 35.74% of the impacts related to the category of the emission of greenhouse gases, and scarcity of mineral resources, 14.83% reduction, when compared to specimens to conventional brick production and alternative brick production, which emphasizes that the ceramic materials with wastes contribute to the mitigation of impacts., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The disastrous consequences of climate change for human life and environmental sustainability have drawn worldwide attention. Increased global warming is attributed to anthropogenic greenhouse gas (GHG) emissions, biodiversity loss, and deforestation due to industrial output and huge consumption of fossil fuels. Financial inclusion can be acted as an adaptation or a mitigation measure for environmental degradation. This study analyzed the impact of financial inclusion on environmental degradation in OIC countries for the period 2004-2018. A novel approach, "Dynamic Common Correlated Effects (DCCE)" is used to tackle the problem of heterogeneity and cross-sectional dependence (CSD). Various GHG emissions along with deforestation and ecological footprint are used as indicators of environmental degradation. Long-run estimation confirms that financial inclusion is positively and significantly linked with CO 2 emission, CH 4 emission, and deforestation while negatively correlated with ecological footprint and N 2 O emission in overall and higher-income OIC economies. An inverted U-shaped environmental Kuznets curve (EKC) is validated when ecological footprint, CO 2 , and CH 4 are used in all panels of OIC countries. An inverted U-shaped EKC is also observed for deforestation in lower-income and overall OIC countries. In the case of N 2 O emission, however, a U-shaped EKC appears in lower-income and overall OIC countries. It is suggested that the governments of OIC countries should continue to have easy access to financial services and maintain sustainable use of forests and biocapacity management to address environmental challenges., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Urban sprawl in context to transportation is a matter of serious concern. It creates unusual environmental challenges for an emerging economy like India, known for geographical spread, population, and use of fossil fuel-based automobiles on road. Indian automotive sector is often held responsible for the emission of greenhouse gasses causing serious environmental deterioration. Government at both central and state levels is dealing with this challenge in two ways-adding more infrastructure for public transport and encouraging electrical vehicles (EVs). Adoption of EVs for public mobility is eco-friendlier and economic. But it is observed that EV penetration in many pockets is not growing and is yet to mature for usage. Regardless of subsidies, it is not picking up as expected and needs to be investigated. Earlier research mainly focused on reporting barriers and did not guide EV penetration enablers. This study bridges the research gap and offers useful insights about EV penetration phenomenon and makes use of both qualitative and quantitative treatments. Accordingly, it models thirteen enablers, guides about tangling interrelationships using an interpretive structural modeling (ISM), and validates it using best worst method (BWM) approach. The study reports six key enablers, which are-developing high-capacity batteries with short recharge time, improving service support, framing promotive government policies, lowering electricity tariffs using sustainable and reliable sources, and reducing dependence on imported raw materials. These enablers need an urgent attention from the industries and researchers for successful EV penetration in Indian context. Authors hope the findings will be useful for other developing countries as well and will influence both researchers and practitioners., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

ICTs and access to Internet use are considered vital for the achievement of sustainable development goals. So, this study explored the effect of the global digital divide, trade openness, renewable energy consumption, and forestation on greenhouse gas (GHG) emissions in 42 high-income countries (HICs) and high-middle-income (HMICs), low-income countries (LICs), and low-middle-income countries (LMICs) of Africa from 1990 to 2018. TheDumitrescu-Hurlin causality results confirmed a unidirectional causality from GHG emissions to the global digital divide (HICs and HMICs), global digital divide to GHG emissions (LICs), and GHG emission to trade openness (LICs and LMICs). Moreover, the long-run results of the autoregressive distributed lag (ARDL) model showed an increase in GHG due to an increase in the global digital divide in all three panels. Further, ARDL results showed reduced GHG emissions due to increased trade openness in LIC and LMICs, renewable energy consumption, and forestation in all three panels. Thus, to encounter pollution from Internet use, the government should start environment-friendly projects through public and private investment in smart and modern environment-friendly technology and reduce the taxes and tariffs on them. Moreover, the governments of African countries should create public awareness through print and electronic media for raising the forestation area., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

One of the industries that makes a significant contribution to the overall amount of greenhouse gas emissions around the globe is agriculture. In this regard, the use of bioenergy in the agricultural and food processing industries might benefit from the implementation of circular economy techniques. Despite the fact that just roughly 9% of the global economy is circular, there have been worldwide efforts to improve that reality. The linear economy, commonly known as the "take-make-use-dispose" model, is in sharp contrast to the circular economy, also known as "grow-make-use-restore," which seeks to influence the flow of materials and energy in order to maximize the benefits to the environment and minimize any associated costs. Garbage-to-energy, also known as WTE, is the focus of both academics and businesses as a direct result of the increasingly diminishing number of energy supplies and the ever-increasing amount of garbage. This project intends to turn trash into profit, lessen the impact waste has on the environment, and generate energy from biowaste by conceptualizing a focus on the supply chain characteristics of waste-to-energy processing. The adoption of a waste-to-energy (WTE) supply chain as a district energy system should be a viable solution toward a circular industrial economy that can solve energy consumption, waste management, and greenhouse gas emission concerns all at once. In the framework of a "circular economy," this study investigates how the management of waste-to-energy supply chains impacts the performance of businesses. The present investigation makes use of life cycle assessments, technical innovation, waste-to-energy conversion, and capacities related to circular economies. The study makes use of data obtained from an online survey that was administered between March 2021 and November 2021 to employees of 285 representative samples drawn from 457 European enterprises and firms that have accepted the concepts of the circular economy. The data is examined using a technique known as partial least squares structural equation modeling (PLS-SEM for short). The findings indicate that waste-to-energy serves as a mediator between the life cycle assessment and the capabilities of the circular economy and that sustainable supply chain management, sustainable supply chain design, technological progress, and waste-to-energy all have positive effects on these metrics., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Agricultural activities contribute 7% to Sri Lanka's economy and account for 20% of the national greenhouse gas (GHG) emissions. The country aims to achieve zero net emissions by 2060. This study was aimed at assessing the present state of agricultural emissions and identifying mitigation strategies. The assessment involved estimating agricultural net GHG emissions from non-mechanical sources in the Mahaweli H region, Sri Lanka, in 2018 using the Intergovernmental Panel on Climate Change (IPCC 2019) guidelines. New indicators were developed to measure emissions for major crops and livestock and used to show the flow of carbon and nitrogen. The region's agricultural emissions were estimated to be 162,318 t CO 2 eq y -1 , of which 48% was from rice field methane (CH 4 ) emissions, 32% from soil nitrogen oxide emissions, and 11% from livestock enteric CH 4 emissions. Biomass carbon accumulation offset 16% of the total emissions. Rice crops exhibited the highest emission intensity of 4.77 t CO 2 eq ha -1 y -1 , while coconut crop had the highest abatement potential of 15.58 t CO 2 eq ha -1 y -1 . Approximately 1.86% of the carbon input to the agricultural system was released as carbon-containing GHG (CO 2 and CH 4 ), whereas 1.18% of the nitrogen input was released as nitrous oxide. The findings of this study suggest extensive adaptations of agricultural carbon sequestration strategies and increased nitrogen use efficiency to achieve GHG mitigation targets. The emission intensity indicators derived from this study can be used for regional agricultural land use planning to maintain designated levels of emissions and implement low-emission farms., (© 2023. The Author(s).)

Due to the increasing emission of greenhouse gases and global warming, the development of renewable energy has become very important. The availability of fossil fuels and the low cost of their extraction compared to renewable energy projects reduce the motivation of countries, especially countries that have abundant natural resources, to develop this technology. Renewable energy deployment has become crucial in response to rising greenhouse gas emissions and global warming. Policies supporting renewable energy play a significant role in this. This study examines the effect of such policies on the deployment of renewable energy technologies, considering the role of natural resources. Two groups of countries were analysed: 20 oil developed countries and 20 oil developing countries. Given the availability of data and the achievement of balanced panels to evaluate short-term and long-term relationships between variables, in current research Data from 2010 to 2020 was used, and various panel data estimators such as Feasible Generalized Least Squares and Generalized Method of Moments were employed. The Quantile estimator was also used to assess the accuracy of the results. The findings suggest that renewable energy policies consistently lead to increased deployment of renewable energy technologies, regardless of a country's group. Of course, this positive effect is different according to the level of development in countries. Due to the higher efficiency of renewable energy policy, developed oil countries have more capacity to support renewable energy projects than oil developing countries. The abundance of natural resources in oil developed countries did not negatively impact renewable energy capacity, but in oil developing countries, the "resource curse" hindered the development of installed renewable energy., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

As one of the most fundamental and prevalent agronomic practices, crop rotation is of great significance for the optimization of regional planting structure and sustainable agricultural development. Therefore, crop rotation has attracted continuous attention from both researchers and producers worldwide. In recent years, many review articles have been published in the field of crop rotation. However, since most reviews usually focus on specialized directions and topics, only few systematic quantitative reviews and comprehensive analysis can fully determine the state of research. To address this knowledge gap, we present a scientometric review to determine the current research status of crop rotation by using CiteSpace software. The main findings were as follows: (1) From 2000 to 2020, five knowledge domains were identified as representing the intellectual base of crop rotation: (a) synergism and comparison of conservation agriculture measures or other management measures; (b) soil microecology, pest control, weed control, and plant disease control; (c) soil carbon sequestration and greenhouse gases (GHGs) emissions; (d) organic crop rotation and double cropping patterns; and (e) soil properties and crop productivity. (2) Six notable research fronts were identified: (a) plant-soil microbial interactions under crop rotation; (b) integrated effect with minimum soil disturbance and crop retention; (c) carbon sequestration and GHG emission reduction; (d) impact on weed control; (e) heterogeneity of rotation effects under different weather and soil conditions; and (f) comparison between long-term and short-term rotation. Overall, this study provides a comprehensive overview of crop rotation and proposes some future development trends for the researchers., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

A lot has been discussed about the greenhouse gas (GHG) emissions in the existing studies; the study on the club convergence of GHG emissions is limited particularly for the agriculture sector. This study tries to investigate the convergence hypothesis across 93 countries spanning 1980-2017. To examine the convergence hypothesis, we implement the novel Phillips and Sul test. Results obtained from this test show the evidence of divergence when we consider all 93 countries as a group. This implies that GHG emissions across the countries are following different convergence paths. To capture this, we further apply clustering algorithms and results show the existence of five clubs of convergence and one group stating the need for altering the policies at the club level to achieve a single steady state in GHG emissions. Moreover, our findings recommend that the mitigation policies should be considered in the presence of different clubs of regions with different convergence paths in terms of GHG emissions and account for the distributional effect of transfers across countries., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This study explores the impact of environmental degradation on output volatility for eight South Asian economies over the time span 1971-2017. Environmental degradation is measured by CO 2 emissions, nitrous oxide (N 2 O), methane emissions (CH 4 ), greenhouse gas emissions (GHG), and environmental pollutants index (EPI), whereas output volatility is constructed using a rolling window of five-year moving standard deviation. The results of cross-sectional dependence (CSD) tests indicate the presence of CSD among South Asian economies. For empirical analysis, second-generation panel time series approaches are employed. Also, the findings of panel unit root tests (URTs) signify that the variables are stationary at the first difference and have a long-run relationship. Westerlund cointegration test is used to assess the long-run relationship among the variables. Moreover, this study has used a fully modified ordinary least square (FMOLS) and dynamic modified ordinary least square (DOLS) methods to examine the relationship between environmental degradation and output volatility. In the long run, all indicators of environmental degradation are positive and significant signaling the harmful effects of environmental degradation on output volatility. However, the impact of nitrous oxide is larger relative to other indicators used in the study. The outcome, therefore, suggests that promoting clean investment in nitric acid plants might help improve the environmental quality in the region which in turn fosters the process of economic stability.

Evaluating the cost-effectiveness of GHG mitigation in the dryland agricultural sector is needed in terms of designing and implementing detailed and efficient mitigation programs, which is currently rarely covered by the literature. In this paper, we use a parametric directional distance approach to explore the farm-level abatement potential and cost (shadow value) of GHG for dryland farms in southwestern Australia. The study indicates that dryland agriculture could abate substantial GHG emissions and save agricultural inputs simultaneously. For the years 2006-2013, the average abatement potential ratios fluctuated between 17 and 33%, with a mean value of 21%. The mean shadow price of dryland agricultural GHG was $17.60 per tonne CO 2 -e in 2013 Australian dollars. In general, the analysis supports that reducing GHG in dryland agriculture is relatively cost-effective.

Treated wastewater (TWW) irrigation has been recommended as an environmentally friendly agricultural practice and has been applied in many countries for decades. The effects of wastewater irrigation on rice yield and quality, as well as on the environment, with particular focus on greenhouse gas emissions from paddy fields with municipal wastewater irrigation, have gained substantial attention. In this study, bench-scale experiments were conducted in two cultivation seasons where seedlings of Bekoaoba, a large-grain high-yield rice variety, were transplanted and irrigated with TWW without fertilization. A control experiment was performed to simulate the cultivation conditions of normal paddy fields. The study aimed to quantify the effects of TWW irrigation on rice yield and quality, in addition to CH 4 and N 2 O emissions. The highest rice yield (10.4 t ha -1 ) and protein content in brown rice (13.8%) was achieved when the soil was repeatedly subjected to bottom-to-top TWW irrigation without any synthetic fertilizer. Bottom-to-top TWW irrigation decreased CH 4 emissions by up to 95.6% when compared with tap water irrigation, whereas bottom-to-top and top-to-top TWW irrigation increased N 2 O emissions by 5 and 15 times, respectively. Bottom-to-top irrigation of TWW could be considered a promising solution for reducing greenhouse gas emissions as TWW irrigation resulted in a lower combined global warming potential than tap water irrigation. Further, bottom-to-top irrigation of TWW produced less CH 4 and N 2 O than top-to-top irrigation.

The greenhouse gas (GHG) footprints of oriented strand boards (OSB) have been gaining growing concern. China is one of the largest manufacturers and traders of OSB in the world. However, little data are available concerning the GHG footprint of Chinese OSB production. The purpose of this study is to quantify and compare the GHG footprints of three types of OSB produced in China. Cradle-to-gate GHG footprints assessment models were built for OSB according to PAS 2050 guidelines. The results showed that the cradle-to-gate GHG footprints of OSB/2, OSB/3, and OSB/4 were 142.7 kg CO 2 e/m 3 , 173.2 kg CO 2 e/m 3 , and 374.2 kg CO 2 e/m 3 , respectively. Raw material acquisition was the largest contributor to GHG footprint for three types of OSB (52.6~57.6%), followed by the production process of OSB (25.6~27.3%) and transportation (15.3~20.1%). The consumption of wood, MDI, electricity, and the transportation of wood were main emission hotspots in Chinese OSB production. Ultimately, four feasible GHG emission reduction measures were put forward from the perspective of reducing the usage of wood and MDI adhesive, decreasing the electricity consumption, and shortening the transport distance of wood., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Climate change and air pollution are critical challenges that humanity is currently facing. Understanding the sources of emissions released into the atmosphere is of great importance to evaluate the local footprint, the impacts of human activities, and the opportunities to develop and implement solutions to mitigate emissions and adapt to climate change particularly in vulnerable places like the Galapagos Islands. In this study, we present an anthropogenic emissions inventory for Santa Cruz, San Cristobal, and Isabela Islands in which emissions were spatially mapped for greenhouse gasses (GHGs) and primary pollutants (PP). Emissions were estimated for the energy stationary sources, energy mobile sources, waste, and other sectors, and emissions for 2019 were spatially distributed along with an uncertainty assessment. Results demonstrated that energy mobile sources which are aerial, terrestrial, and maritime transportation generated the most significant emissions in the Galapagos Islands in terms of PP and GHGs. In fact, maritime transportation was the highest one in 2019, at 41% of total CO 2 emissions for Galapagos, with the most predominant PP being NOx and CO. The aerial transportation made up 36% of emissions, and the electricity generation contributed 15%. Emissions from waste and other sectors comprise a smaller percentage relative to the rest of the emission sectors. These results highlight the strong dependency of the islands on fossil fuels for transportation and electricity generation. Alternatives to mitigate and reduce emissions from the islands are discussed. This spatially mapped emissions inventory for the Galapagos Islands represents a powerful tool to make informed decisions to contribute to the long-term sustainability of the archipelago., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

As a result of the globalization of production processes and the expansion of international trade, both water-based trade and the use of marine energy are expanding quickly. Marine energy consumption is rapidly increasing as a result of globalization. Despite being ignored for many decades, reducing marine emissions is today a top priority among European nations. Thus, the present study contributes to the existing literature by investigating the nexus between marine energy consumption, seaborne trade, and GHG emissions by employing time series data for eight Northern European nations from 2005 to 2017. The extended EKC model and three proxy variables for seaborne trade (i.e., container throughput, liner shipping connectivity index, and trade openness) are used to investigate the nexus between these variables. FMOLS and DOLS methods have been employed to control the problems of endogeneity and serial correlation. Only in Denmark, Norway, and Sweden did the data corroborate an inverted U-shaped relationship (the EKC curve) between maritime GHG emissions and economic development. The increase in energy utilization across all nations directly increased marine GHG emissions; however, the adverse effect of energy consumption on the environment is severe in Denmark, Norway, and Sweden. Container throughput, linear shipping connectivity index, and trade openness exhibit a positive impact on marine GHG emissions. The impact of seaborne proxy variables is severe in Denmark and Sweden. In order to have a robust assessment and to confirm the validity and uniformity of the results, Driscoll-Kraay standard errors (DKSE) and robust standard error (RSE) regression techniques are being employed., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Sustainable development objectives heavily promote the advancement of cleaner production technologies to reduce emissions and conserve the average world temperature. For the years 1990-2020, the USA, China, Japan, Russia, Germany, and Australia are studied by using the panel fully modified ordinary least square (FMOLS). The results show that clean fuels and technologies and a consumer price index are helpful to reduce greenhouse gas emissions from food system which reduce environmental degradation. Contrarily, increased income and food production contribute to environmental deterioration. There are bidirectional Dumitrescu-Hurlin causal relationships between access to clean fuels and technology and greenhouse gas emissions from food system; real income and greenhouse gas emissions from food system; income and access to clean fuels and technology; income and consumer price index; and income and food production index. This research also revealed a unidirectional causation between the consumer price index and greenhouse gas emissions from food system; food production index and greenhouse gas emissions from food system; access to clean fuels and technology and the consumer price index; and access to clean fuels and technology and the food production index. These findings provide policymakers with relevant content: to promote the goal of green growth, the government should implement consistent measures to subsidize the food industry. Incorporating carbon pricing into food system emissions models would serve to lower production of polluting foods, which would enhance air quality indicators. Finally, a consumer price index should be controlled by controlling prices of green technologies in environmental modeling to improve sustainable development globally and reduce environmental pollution., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The increase in greenhouse gas emission has a major global issue, catching the attention of the researcher and policymakers around the world. The combustion of fossil fuel is the main cause of the rising greenhouse gas emission particularly in developing countries including Vietnam. Meanwhile, the purpose of the study is to evaluate the linkage between fossil fuel consumption, financial development, industrial progression, and CO 2 emission over the period from 1970 to 2019, particularly in Vietnam. The study applied the ARDL econometric technique and Bayer-Hanck cointegration approach with structural break to confirm long run relationship and the EKC hypothesis between industrial growth and CO 2 emission, in Vietnam, which assume the U-shaped link between CO 2 emission and industrial growth in Vietnam. Which further confirmed by Lind and Mehlum U test in addition, the Granger causality exists between fossil fuel consumption and CO 2 emission in both short run and long run. The causal relationship is unidirectional in the short run running from fossil fuel consumption and carbon dioxide emission; therefore, the study proposed to adopt low-carbon emission technology.

Being closely correlated with income and economic growth, trade openness impacts the environmental quality through different means. The study analyzes the robustness of the environmental Kuznets curve (EKC) hypothesis in OIC countries by examining the extent to which trade openness influence environmental quality through different environmental indicators for the period 1991 to 2018. A new methodology dynamic common correlated effects (DCCE) is applied to resolve the issue of cross-sectional dependence (CSD). We have used greenhouse gas (GHG) emissions, carbon dioxide (CO 2 ), methane (CH 4 ) and nitrous oxide (N 2 O) along with ecological footprint as indicators of environmental quality. Results of DCCE estimation identify a negative association of trade openness with CO 2 , N 2 O, and CH 4 , while the positive relationship with the ecological footprint in overall OIC countries and higher income OIC countries. On the other hand, trade openness has a positive association with all environmental indicators in lower income OIC countries. Our findings confirm that inverted-U-shaped EKC exists in all groups of OIC countries when CO 2 , CH 4 , and ecological footprint are used as environmental indicators. However, a U-shaped EKC exists in overall OIC countries and lower income OIC countries when N 2 O is used. Eventually, it is recommended that if OIC countries continue trade openness policies and energy sector reforms and maintain sustainable use of biocapacity; then, they will be able to combat environmental issues with the increase in income.

The article examines the effects of renewable energy, trade, carbon dioxide emissions and international tourism on economic growth in EU-28, considering panel data for the period 1995-2014. The investigation finds the new determinants of economic growth. The empirical results find support from the panel fully modified least squares (FMOLS), panel dynamic least squares (DOLS) and fixed effects (FE) as estimation techniques. The econometric results are consistent with the existing literature. The variables considered in this study are cointegrated in the first difference, as suggested by the panel unit root test. The present study seeks to advance the knowledge of the growth determinants, paying attention to the effect that both the tourism and energy sector exerts on economic growth for EU-28 countries. The empirical results demonstrate that trade openness, tourism arrivals and renewable energy encourage economic growth. Therefore, according to the econometric results, renewable energy allows improving environmental quality. However, CO 2 emissions are positively correlated with economic growth, showing that growth is directly correlated by climate change and greenhouse gas. The results also confirm the tourism-led growth hypothesis (TLGH) for the panel. Finally, the empirical results confirm that trade openness, energy use and international tourism contribute to enhance economic growth. Based on these findings, further insights and policy prescription are offered in the concluding section.Graphical abstract.

The manufacture of products in the industrial sector is the principal source of carbon emissions. To slow the progression of global warming and advance low-carbon economic development, it is essential to develop methods for accurately predicting carbon emissions from industrial sources and imposing reasonable controls on those emissions. We select a support vector machine to predict industrial carbon emissions from 2021 to 2040 by comparing the predictive power of the BP (backpropagation) neural network and the support vector machine. To reduce noise in the input variables for BP neural network and support vector machine models, we use a random forest technique to filter the factors affecting industrial carbon emissions. The statistical results suggest that BP's neural network is insufficiently adaptable to small sample sizes, has a relatively high error rate, and produces inconsistent predictions of industrial carbon emissions. The support vector machine produces excellent fitting results for tiny sample data, with projected values of industrial carbon dioxide emissions that are astonishingly close to the actual values. In 2030, carbon emissions from the industrial sector will have reached their maximum level., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

It will contribute to ameliorating the national carbon trading system and further benefit the realization of China's carbon peaking and carbon neutrality goals through in-depth study and summarize the effectiveness of carbon trading policy implementation in pilot areas. Based on the multi-phase difference-in-differences approach and synthetic control method, this paper utilizes China's provincial panel data from 2006 to 2020 to comprehensively assess the Porter effect (including the economic and green innovation effects) and carbon mitigation effect of carbon trading policy from the overall and local perspectives. Then the robustness test and mechanism analysis are carried out. The findings show that: (1) from the overall effect, the carbon trading policy brings a noticeable carbon mitigation effect and Porter effect, and the intensity of the impact keeps changing over time; (2) there is significant heterogeneity in the local effects of this policy on the eight pilot provinces and cities, with only Chongqing obtaining both the Porter effect and the carbon mitigation effect, while the rest of the regions do not yield the triple dividend of economic, environmental, and green innovation simultaneously; (3) there are much more prominent environment and green innovation effects in the developed regions, while the underdeveloped ones have better economic development and no green innovation effect; (4) the policy can bring environmental and economic dividends through energy structure optimization. However, due to the carbon rebound effect, stimulating green innovation pathways can only boost the economy while carbon emissions increase instead. The research conclusions can provide the decision support and policy direction for policies related to China's carbon market., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This study measures the impact of the implementation of the Regional Greenhouse Gas Initiative (RGGI) on firms' green innovation initiatives. We used 20 years of panel data from the Fortune 500 list of the US largest companies. Based on DID, a benchmark regression, the RGGI has a significant adverse effect on the green innovation of Fortune 500 companies, and we verified these findings with multiple robustness tests. As we investigate how energy-intensive industries were affected by RGGI, we found that it slowed down green innovation, but it was not statistically significant. This study provides a novel perspective on how the RGGI influences green innovation in firms and how different types of sectors respond to the policy. The findings indicate that the "weak" Porter Hypothesis has not been confirmed in the present carbon trading market (particularly the RGGI) for Fortune 500 firms in the USA. In terms of policy, we believe that a well-covered and differentiated legislation that fosters green innovation while being realistic about the policy's goal and the firm's environmental attitude, like emissions reduction through green innovation, is essential., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Due to the rise in vehicular emissions, the rapid deterioration of the atmospheric air quality is a cause for concern in a global scale. In this context, the objective of this study is to explore the effect of post-injection parameters on a continuous active regeneration trap (CART) to mitigate harmful greenhouse gases (GHG) and particulate smoke emissions (PSE) using diesel fuel reformulated by long-chain microalgae bio-alcohol and low-density microalgae biodiesel. Furthermore, the efficiency of the CART unit is analyzed based on its ability to mitigate the harmful emissions without sacrificing the engine performance characteristics. From the study, it was observed that the maximum de-smoke efficiency of 67.85% is observed at a post-injection timing (PIT) of 20°CA aTDC at a post-injection mass (PIM) of 4 mg for low load condition while operating on microalgae biodiesel. While operating on microalgae bio-alcohol, the maximum de-smoke CART efficiency was observed as 67.25% and 55.78% for low and medium load conditions at a PIT and PIM of 20°CA aTDC and 2 mg while operating on the microalgae bio-alcohol. Likewise, the maximum de-HC CART efficiency was obtained at a PIT and PIM of 10°CA aTDC and 1 mg with a reduction of about 75% and 73.8% for medium and high load conditions. A slight reduction in oxides of nitrogen with the complete elimination of carbon monoxide emissions is observed after CART treatment for both the fuels., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This study inspects the empirical association between inflation instability, GDP growth volatility, and the environmental quality in Pakistan, covering the period 1975-2018 by using an asymmetric autoregressive distributed lag (ARDL) methodological approach. The asymmetric ARDL results document that positive and negative shocks of inflation instability have different effects on environmental quality. Negative shocks of inflation instability have a positive influence on carbon dioxide emissions (CO 2 ) and nitrous oxide emissions (N 2 O), while positive shocks of inflation instability have insignificant effects in the long run. Asymmetric findings also suggest that positive and negative fluctuations in GDP growth volatility affect CO 2 and N 2 O emissions differently, while they have insignificant results on methane emissions (CH 4 ) in the long run. Additionally, in the short run, positive and negative shocks of inflation instability and GDP growth volatility behave differently in terms of their impact on pollution emissions. Based on these findings, the study opens up innovative intuitions for policymakers to support a robust role of economic stability in attaining targets relevant to pollution reduction.

Recently, greenhouse gas (GHG) emissions become the hottest issue in the transportation sector. The air transport sector contributes approximately 2% of global greenhouse gas emissions. Reducing greenhouse gas emissions from aircraft is one of the issues taken seriously by the transportation sector. However, air transportation has implemented several ways to reduce carbon emissions, and one of them is by launching a carbon offset program. This study estimates the willingness among Malaysian airline passengers to pay for a carbon offset program to have a better environmental performance. Using a double-bounded dichotomous choice of contingent valuation method (CVM) estimates how much air passengers would be willing to pay to offset carbon emissions generated by their travel. The results obtained from this study suggest that the additional fee for airline tickets will be RM86.00 can be charged to have a better environmental performance.