Impact Of Greenhouse Gas Emissions Research Articles

Forecasting the carbon emissions in Hubei Province under the background of carbon neutrality: a novel STIRPAT extended model with ridge regression and scenario analysis

The impact of global greenhouse gas emissions is increasingly serious, and the development of green low-carbon circular economy has become an inevitable trend for the development of all countries in the world. To achieve emission peak and carbon neutrality is the primary goal of energy conservation and emission reduction. As the core province in central China, Hubei Province is under prominent pressure of carbon emission reduction. In this paper, the future development trend of carbon emissions is analyzed, and the emission peak value and carbon peak time in Hubei Province is predicted. Firstly, the generalized Divisia index method (GDIM) model is proposed to determine the main influencing factors of carbon emissions in Hubei Province. Secondly, based on the main influencing factors identified, a novel STIRPAT (Stochastic Impacts by Regression on Population, Affluence, and Technology) extended model with ridge regression is established to predict carbon emissions. Thirdly, the scenario analysis method is used to set the variables of the STIRPAT extended model and to predict the emission peak value and carbon peak time in Hubei Province. The results show that Hubei Province's carbon emissions peaked first in 2025, with a peak value of 361.81 million tons. Finally, according to the prediction results, the corresponding suggestions on carbon emission reduction are provided in three aspects of industrial structure, energy structure, and urbanization, so as to help government establish a green, low-carbon, and circular development economic system and achieve the industry's cleaner production and sustainable development of society.

The Environmental Footprint of Scientific Research: Proposals and Actions to Increase Sustainability and Traceability

In their work, scientists are responsible for stating a purpose, defining experimental conditions, producing data, describing and analyzing these data by statistical means, arguing by comparison with the literature, and drawing conclusions. When a manuscript is submitted for publication, no assessment of the direct and indirect environmental impacts of producing the work is reported. In this context, the aim of our study is to suggest schematic methods to assess, reduce, and mitigate the impact of greenhouse gas (GHG) emissions generated by three different papers (two scientific articles and a conference proceeding) previously published by the same authors. The results reported here show proposals and actions to contribute to the reduction of environmental impacts: a preliminary assessment of the inputs and outputs was initially converted into CO2 equivalents (CO2 eq.) and, subsequently, into partial mitigation action through the allocation of the planting of additional plants. Furthermore, real traceability and an opportunity to verify the close connection between initial works (papers and conference book) causing the environmental impact and new green life are suggested. Finally, we propose a new label (S-Paper to T-Plant) for eco-friendly guidelines.

Blockchain-assisted internet of things framework in smart livestock farming

Smart Livestock Farming (SLF) is an approach that utilizes technological advances to improve economic viability, operational efficacy, and ecological sustainability in the cattle industry. Among the most promising areas of smart livestock farming is extensive livestock farming, in which individual animals are monitored and studied. By keeping an eye on harvests, planning out the property, and providing them with data to establish rational methods and techniques, the IoT helps farmers save time and resources. The Internet of Things (IoT) is expected to transform livestock management by linking distant farmers with the biological data of their animals and environmental data collected by embedded technology. Limiting livestock's greenhouse gas emission impact is one obstacle, as is the inherent complexity, context, and repetition of day-to-day livestock management tasks. To improve customer and product identification, especially in farming supply chain operations, BlockChain (BC) has emerged as a cutting-edge technology. In this study, the paper addresses how blockchain technology may be used for livestock-based goods after analyzing the research on its uses in the food market and the farming supply chain. The framework incorporates Internet of Things technology and utilizes BlockChain technology to create a Smart Livestock Farming system (IoT-BC-SLF), allowing for a transparent and safe exchange between farmers. Finally, the study reveals that the primary concerns of blockchain implementation in this field are safeguarding the records of agricultural output, tracking the processes involved in the production, and keeping tabs on the finished goods. The sensing system that utilizes Blockchain technology helps to trace the transmission of agricultural and related goods via farmers to ultimate consumers, to track and regulate the value chain of dairy, fruits, vegetables, meat, etc., and to avoid financial losses. Real livestock farming with IoT-BC-SLF technology and management will benefit several facets of agriculture, including human resources, product costs (both agricultural and livestock), animal protection, and environmental sustainability. The farmers' exact livestock management on numerous farms is implemented after careful consideration of information security, protection, and compatibility. Based on analysis of Response time, internal temperature measurement, 92% of Livestock tracking probability, and 91% of Livestock behavioral activity with better improvement, it is clear that the proposed IoT-BC-SLF system is superior to existing approaches.

The Carbon Footprint and Cost of Virtual Residency Interviews.

The shift from in-person to virtual residency interviews may impact greenhouse gas emissions (GHGE) and costs but the direction and amount of this change is not yet clear. To estimate GHGE and financial impacts of virtual interviews among applicants and programs. In 2020-2021 we sent a postinterview survey to 1429 applicants from 7 residency programs and 1 clinical psychology program at 1 institution. The survey collected origin of travel and transit type if in-person interviews had been held and excluded responses if the applicant would not have participated in an in-person interview, or if travel type or original city was missing. We used the International Civil Aviation Organization calculator to estimate flight-related GHGE in metric tons of carbon dioxide equivalent (MTCO2e) and Google Maps to estimate ground travel, with a standard CO2e per mile. Flight, hotel, and airport taxi costs were estimated using Expedia.com, Hotels.com, Uber, and Lyft. We aggregated these data and calculated median and interquartile ranges (IQRs) for applicant GHGE and cost savings, and assumed no cost or GHGE from virtual interviews. We used Wilcoxon signed rank sum tests to compare in-person 2019-2020 and virtual 2020-2021 GME program interview budgets. The survey response rate was 565, or 40% of applicants; 543 remained after the exclusion criteria were applied. Reduction in applicant travel due to virtual interviews led to median estimated GHGE savings of 0.47 (IQR 0.30-0.61) MTCO2e and $490 (IQR $392-$544) per applicant, per interview. Programs savings ranged from $7,615 to $33,670 for the interview season. Virtual interviews in 8 GME programs were associated with lower estimated GHGE and costs, for applicants and programs, compared with in-person interviews.

Green Diesel Production via Deoxygenation Process: A Review

The environmental impact of traditional fuels and related greenhouse gas emissions (GHGE) has promoted policies driven towards renewable fuels. This review deals with green diesel, a biofuel obtained by catalytic deoxygenation of edible and non-edible biomasses. Green diesel, biodiesel, and petrodiesel are compared, with green diesel being the best option in terms of physical–chemical properties and reduction in GHGE. The deoxygenation process and the related types of catalysts, feedstocks, and operating conditions are presented. Reactor configurations are also discussed, summarizing the experimental studies. Several process simulations and environmental economic analyses—up to larger scales—are gathered from the literature that analyze the potential of green diesel as a substitute for petrodiesel. In addition, current industrial processes for green diesel production are introduced. Future research and development efforts should concern catalysts and the use of waste biomasses as feedstock, as well as the arrangement of national and international policies.

Greenhouse gas emissions and stock market volatility: an empirical analysis of OECD countries

PurposeThis study aims to explore empirical evidence of the impact of greenhouse gas (GHG) emissions on stock market volatility.Design/methodology/approachUsing panel data of 35 Organization for Economic Co-operation and Development countries from 1992 to 2018, we conduct both fixed effects panel model and Prais-Winsten model with panel-corrected standard errors.FindingsThe authors document that there is a significant positive relationship between GHG emissions and stock market volatility. The results remain robust after controlling for potential endogeneity problems.Originality/valueThis study contributes to the literature in that it provides additional empirical evidence for the financial risk posed by climate change.

Modelling the Critical Success Factors of Net-zero Energy Buildings in India

Amidst the widespread consciousness and several awareness programs to combat the adverse impact of greenhouse gas emissions on the climate, Net-zero energy buildings (NZEB) have emerged as one of the potential solutions. Various factors, including the need for heavy initial capital investment, weather conditions, government regulations, policies, training and development, technology, and so forth, were figured out by carrying out a literature review and interviewing the area experts. Further, investigating the inter-contextual relationships helps to have key success factors of NZEBs in India that are multidimensional in nature. To achieve this goal, the Interpretive Structural Modelling (ISM) approach was employed to compute the mutual influence of the ten key success factors in the Indian context. The results report that favorable weather conditions, government policies, and regulations are the most crucial factors for the NZEB sectoral development in Indian contexts.

Investigating the Routes toward Environmental Sustainability: Fresh Insights from Korea

The environmental issues that have arisen as a result of brisk economic expansion have evolved into a barrier to the process of social development. Based on this background, this article investigates the consequences of economic development, energy consumption, and urbanization on greenhouse gas emissions (a proxy for environmental sustainability) in Korea. Using the data from 1990 to 2019 and employing the autoregressive distributed lag method for empirical investigations, the results demonstrate that economic expansion, urbanization, and non-renewable energy consumption all constitute a danger to environmental sustainability because they positively influence greenhouse gas emissions. Oppositely, the results demonstrate that renewable energy consumption enhances environmental sustainability because it negatively impacts greenhouse gas emissions. Furthermore, a fresh discovery is that these results are consistent over time. In addition, the results of the causality test show that two-way causal links between economic growth, non-renewable energy consumption, and greenhouse gas emissions have been found in both the short and long runs, whereas unidirectional causal links between urbanization, renewable energy consumption, and greenhouse gas emissions have also been discovered. The most significant contribution that the results of this study may make is that they can provide several policy proposals for environmental sustainability in Korea and expand the literature that already exists on this issue in Korea.

The Impact of Greenhouse Gas Emission on Health and Economy in Asian Countries

This study explores the impact of greenhouse gas emissions (GHG) on the health of Asian countries as they develop economically. The study calculated how much each country would invest per person in air pollution to reduce morbidity and even mortality, given current economic conditions, by selecting countries from each of Asian five tiers of average annual PM2.5 emissions concentration. The study identifies three main causes of Asian high GHG emissions: the burning of agricultural waste, emissions from the increase in the number of vehicles, and emissions from mass production in factories. Finally, reducing fertilizer use and reprocessing agricultural waste, vehicle restrictions and promoting new energy cars, and “eliminating” the number of urban plants and the use of renewable energy to produce and meet the demand of life are the policies can government implementations that support to contain GHG emissions and slow down the greenhouse effect, improving the air quality in Asia. Through the use of VSL model, this study obtained the different investment of the people in air pollution control under the economic conditions of different Asian countries, which shows that reducing air pollution is not only what the government departments need to do, but everyone has the responsibility to maintain together.

Advances in the utilisation of carbon-neutral technologies for a sustainable tomorrow: A critical review and the path forward

Global industrialisation and overexploitation of fossil fuels significantly impact greenhouse gas emissions, resulting in global warming and other environmental problems. Hence, investigations on capturing, storing, and utilising atmospheric CO2 create novel technologies. Few microorganisms, microalgae, and macroalgae utilise atmospheric CO2 for their growth and reduce atmospheric CO2 levels. Activated carbon and biochar from biomasses also capture CO2. Nanomaterials such as metallic oxides, metal-organic frameworks, and MXenes illustrate outstanding adsorption characteristics, and convert CO2 to carbon-neutral fuels, creating a balance between CO2 production and elimination, thus zeroing the carbon footprint. The need for a paradigm shift from fossil fuels and promising technologies on renewable energies, carbon capture mechanisms, and carbon sequestration techniques that help reduce CO2 emissions for a better tomorrow are reviewed to achieve the world’s sustainable development goals. The challenges and possible solutions with future perspectives are also discussed.

Preferred green home features by potential buyers in Sibu Sarawak

Green concept was gaining attention since 1960s, with research and development initiatives been allocated to ensure its evolvement, for enhancing the minimization on the impact of global warming and greenhouse gases emissions. Enormous green home features be introduced worldwide, but such features were not collated into a single piece of information, and the preference of home buyers varies according to the culture, living environment, and personal preferences. This research aims to examine the relative importance of green home features to potential home buyers in Sibu, Sarawak. Purposive and random sampling methods were adopted as the participants need to meet the requirement of having intention to purchase a house in Sibu in the next five years. Quantitative online questionnaire survey was distributed to the potential home buyers with 118 valid responses returned (response rate 29.57%). The results indicated that air quality, energy saving lighting, and energy efficient air conditioner were the three most preferred features by the respondents. This research could contribute to the knowledge gap of the preferred green home features by the potential home buyers in Sibu, and hence, serve as a piece of supporting document to the developers, to meet buyers’ demand and further increase the supply of green home in Sibu.

Influence of Greenhouse Gas Emissions and Green Revolution on Agriculture Production in Case study of Pakistan: Policy Adoption

Anthropogenic actionsamplify the greenhouse gas concentration in the atmosphere since the 19th century which lead to noticeable variation in climate that has a significant influence on different regions across the globe. World-wildly, Pakistan is participatinginsignificantly in greenhouse gas emissions but facing significant effects on several segments of the economy. The green revolution boosts agriculture production and a significant increase in productivity against to before it. The agriculture sector is considered to be lifeline of Pakistan's economy it contributes significantly to the gross domestic product, gives employment opportunitiesto huge number of the working population and provides raw materials to other sectors. A drastic increase in population had led to rising demand for agricultural products in Pakistan and it highlights the importance of agriculture sector in Pakistan. Several current studies had concentrated on greenhouse gas emissions in the agriculture sector in Pakistan but ignored the green revolution aspect. It is a pioneer study which has a central aim to explore the influence of greenhouse gases emission and the green revolution on agriculture production with the help of Cobb Douglas Production Function (CDPF). The current study uses the four decades’time seriesdata usingAuto Regressive Distributed Lag (ARDL) approach with the help of Bound Test run to observe the long and short-run impact of greenhouse gas emissions and green revolution on agriculture sector in Pakistan. Findings revealed that greenhouse gas emissions have a negative while the green revolution has a positive influence on agriculture production in the long and short run. These results have some policy implication,government should spend more budget on research and development related to the agriculture sector and levy high taxes on those sectors which are emitting greenhouse gases and these policies can dramatically boost agriculture production which will boost Pakistan's economy.

Implementing an appropriate metric for the assessment of greenhouse gas emissions from livestock production: A national case study

Livestock farming is of major economic relevance but also severely contributes to environmental impacts, especially greenhouse gas (GHG) emissions such as methane (CH4; particularly from ruminant production) and nitrous oxide (N2O; mainly from manure management and soil cultivated for feed production). In this study, we analyse the impact of GHG emissions from Austrian livestock production, using two metrics: a) the commonly used global warming potential (GWP) over 100 years (GWP100 in CO2-equivalents, CO2-e), and b) the recently introduced metric GWP*, which describes additional warming as a function of the timeline of short-lived GHG emissions (unit CO2 warming equivalents, CO2-we). We first compiled the sectoral (i.e. only direct emissions without upstream processes) GWP100 for different livestock categories with a focus on dairy cattle, beef cattle and pigs in Austria between 1990 and 2019. We also estimated product-related (i.e. per kg carcass weight or per litre of milk) GWP100 values, including upstream processes. We then calculated the corresponding GWP* metrics, both sectoral and product-related, and compared them with the GWP100 values. Decreasing livestock numbers and improved production efficiency were found to result in strong sectoral emission reductions from dairy production (–32 % of GWP100 from 1990 to 2019) and from pigs (–32 % CO2-e). This contrasts with low reductions from other livestock categories and even increases for cattle other than dairy cows (+3 % CO2-e), mainly due to rising suckler cow numbers. Allocated results per kg milk and kg body mass show quite similar results. Using the GWP* metric, the climate impacts of Austrian livestock production are less severe. When assuming constant management and emission intensity over a period of at least 20 years, the CO2-we (GWP*) is almost 50 % less than CO2-e (GWP100) per kg Austrian raw milk due to the different impacts of the short-lived CH4. A similar trend applies to an average cattle carcass (-40 % warming impact). The emission reductions of the shrinking Austrian livestock population represent an important contribution to a climate-neutral agriculture: The CH4 reductions of livestock production during the past 20 years reduce the current total Austrian CO2-we by 16 %. Continuous CH4 reduction, as we show it here for Austrian livestock, is an effective option to tackle the climate crisis in the short term. It shall be stressed that a relatively low GWP* should not be interpreted as a concession for further CH4 emissions but as an actual reduction of (additional) warming.

Building Information Modelling (BIM) and Energy Performance of Building - A Review

Nowadays, the advancement of technologies in the building industry may give a significant impact to the environment. The building sector contributes to the greenhouse gas emissions which may harm the environment and the high consumption of energy required high demand in burning the fossil fuel. These may effects the environment where, the carbon dioxide (CO2) has been significantly released to the atmosphere and harm the environment which may lead to global warming. In order to reduce the impact of greenhouse gas emissions and energy consumption, there is a need to develop a solution which may account these environmental problems. Conserving the energy of the building is one of the strategies to reduce the impact of greenhouse gas emissions to the environment. Recently, linking the building information modelling (BIM) to analyse the energy performance of the building has been spread widely. BIM has been recognized as a suitable tool to perform a building analysis in the early design stage which helps to model the energy use, flow of thermal, patterns of lighting and many more sustainable measures. BIM is believed able to help a designer to choose the best building design due to its concept of parametric change that assist the AEC industry to implement the sustainable design in an effective way and significantly improve the energy efficiency of building.

Sustainability efficiency of climate change and global disasters based on greenhouse gas emissions from the parallel production sectors - A modified dynamic parallel three-stage network DEA model.

This study employed dynamic three-stage network data envelopment analysis (DEA), considering parallel production in the agricultural and industrial sectors, to assess the impact of greenhouse gas emissions on the climate change and natural disaster stages. The results revealed the following: (1) The dynamic overall efficiencies of more countries are decreasing than are increasing. The seven countries with the poorest overall efficiency ranking (Myanmar, Vietnam, Thailand, Bangladesh, the Philippines, Pakistan, and India) are mostly located in Southeast Asia. (2) The number of countries that maintained low efficiency over the long term is greater than those that retained high efficiency over the long term. Myanmar, Mexico, India, the Philippines, Thailand, and Vietnam maintained efficiency scores below 0.5, whereas South Korea, Japan, China, and New Zealand maintained efficiency scores above 0.8. (3) More than one-third of countries exhibited declines in efficiency over time, and half were European countries. Less than one-third of countries maintained their efficiency, and less than one-third of countries gradually improved. (4) Approximately half of the countries' efficiency scores were lower than the global average. The efficiency scores of the industrial sector exhibited a greater room for improvement on the input factors than did those of the agricultural sector. (5) Total factor energy efficiency analysis revealed that methane emissions and CO2 emissions have a similar level but large room for improvement across countries. Improving input factors in the production stage can ultimately mitigate inefficiencies in the climate change and natural disaster stages. There are still other important factors related to climate change, such as sea surface temperature, forest areas, or air pollution indicators, that could be considered in future research. The occurrence of global disasters could also be discussed in groups according to the region where the countries are located in the future.

Feasibility Study and Techno-Economic Analysis of Solar PV-Biomass Hybrid Power System: A Case Study of Kajola Village, Nigeria

Efficient and sustainable electric power supply is needed for effective healthcare delivery, provision of quality education system, and building of impactful social/human infrastructures. Unrestricted access to reliable and affordable electricity will improve people's welfare and enhance quality healthcare delivery globally. The need to reduce the harmful impact of Greenhouse gas emissions along with its fossil fuel emissions have necessitated the need for the numerous research interests in low-carbon power generation systems. The feasibility and techno-economic analysis of an off-grid Solar Photovoltaic (PV)/Biomass (BG)/Diesel (DG)/Battery (BB) hybrid system for a rural village-Kajola, Nigeria was conducted in this paper. Renewable energy sources (RES) parameters such as irradiation data, biomass resources, and DG parameters were collected from National Aeronautics and Space Administration (NASA)’ database, Ekiti State Ministry of Agriculture and manufacturers’ price lists respectively. The load demand assessment of the area was conducted and analyzed through the use of questionnaires. All the relevant data collected were used as input into the HOMER software. The optimal configuration is the PV-BG-BB combination. The Levelized Cost of Energy (COE) is $0.178/ kWh, with renewable energy fraction (RF) of 100%. This means that nearly all of the energy used by the hybrid system to meet the load is generated from renewable sources. The proposed solar PV/Biomass generator/Battery bank hybrid energy system can supply electricity to the village under consideration at an hourly average of approximately 52.7 kW and with an average daily energy need of 483.71 kWh. The study will serve as a template for all electric power system stakeholders and potential investors on the feasibility and optimal design of hybrid renewable energy system for rural electrification.

Sustainable management of water hyacinth via gasification: Economic, environmental, and toxicity assessments

Water hyacinth gasification, which generates syngas and biochar, is a promising thermochemical approach for bioenergy production and greenhouse gas mitigation. We investigated the economic feasibility, life-cycle greenhouse gas emission and human toxicity impact of two different water hyacinth gasification approaches: water hyacinth with and without wood chips. The safety of biochar horticulture and agriculture application was evaluated based on the heavy metal analysis results and 3 different biochar standards. Among 9 potential heavy metal contaminants, only the Ni of water hyacinth mono-gasification biochar was found 2.45 ppm higher than the Singapore Compost Standard. Both the water hyacinth mono-gasification and the co-gasification of water hyacinth and wood chips were shown to be economically feasible and carbon negative. However, the water hyacinth mono-gasification will become carbon positive and be resulted in a higher human toxicity impact if implementing additional CaCl2-based Ni extraction treatments. The carbon tax revenue based on Singapore policy is considered in the economic assessment. The optimal 15-year net present value was found to be 12.25 million SGD for the co-gasification of water hyacinth generated from a 45-ha water body.

Thermophilic biological fluidized bed reactor in sludge line reduces greenhouse gas emissions in wastewater treatment system

Greenhouse gas (GHG) emissions represent one of the main drawbacks of wastewater (WW) treatment. However, results of a detailed estimation of the emissions can be a valid tool to define optimal solutions for minimizing impact of WW treatment system on the environment. Thermophilic biological fluidized bed reactor (TBFBR) has been recently proposed as an alternative solution for biological sludge minimization in wastewater treatment plant (WWTPs). In this work, 5 diverse scenarios of sludge line composition were studied and combined with 5 diverse sludge disposal options. GHG emissions in 25 combinations were fully investigated to define optimal sludge treatment and disposal option. Results suggested that TBFBR help to reduce net emitted GHGs with respect to scenario with conventional stabilization treatment in sludge line (anaerobic digestion) (−32.3 ± 3.55 %) thanks to (i) the reuse in water line of the aqueous residue of TBFBR as alternative carbon source, (ii) the significant minimization of sludge production, and (iii) the contained impact of gross GHG emissions due to the energy consumption of this process. The strong minimization of sludge also led to a decisive reduction in GHG emissions in the subsequent phases of transport, additional treatments, and final disposal making the choice of the disposal option indifferent on the overall GHG emission estimation. Moreover, the coupling of processes for the simultaneous and preventive maximization of energy recovery (TCH, and AnaD) before sludge minimization in TBFBR determined a limited reduction of GHG emission compared to scenario with TBFBR alone (−3.71 ± 1.47 %).

Greenhouse Gas Emissions from Beef Cattle Breeding Based on the Ecological Cycle Model.

Over the past few decades, the supply of beef has increasingly become available with the great improvement of the quality of life, especially in developing countries. However, along with the demand for meat products of high quality and the transformation of dietary structure, the impact of massive agricultural greenhouse gas emissions on the environmental load cannot be ignored. Therefore, the objective of this study is to predict the annual greenhouse gas emissions of 10 million heads of beef cattle under both the ecological cycle model (EC model) and the non-ecological cycle model (non-EC model), respectively, in order to compare the differences between these two production models in each process, and thus explore which one is more sustainable and environmentally friendly. To this end, through the life cycle assessment (LCA), this paper performs relevant calculations according to the methodology of 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories (2019 IPCC Inventories). The results have shown that the total GHG emissions of the non-EC model were almost 4 times higher than those of the EC model, and feed-grain cultivation and manure management were main emission sources in both models. The non-EC model produced significantly more emissions than the EC model in each kind of GHG, especially the largest gap between these two was in CO2 emissions that accounted for 68.01% and 56.17% of the respective planting and breeding systems. This study demonstrates that the transformation of a beef cattle breeding model has a significant direct impact on cutting agricultural GHG emissions, and persuades other countries in the similar situation to vigorously advocate ecological cycling breeding model instead of the traditional ones so that promotes coordinated development between planting industry and beef cattle breeding industry.

Comparison of farm-level greenhouse gas emissions in transhumance and semi-intensive sheep production systems in continental rangelands

Despite their predominance worldwide, few studies have been conducted to look at the impact of sheep production systems relying on transhumance practices in arid and continental conditions, on farm-level greenhouse gas (GHG) emissions. Using Turkey as an example, this paper examines on farm-level GHG emissions calculated for two contrasting sheep production systems under arid and continental climate conditions. Production and management data were obtained through face-to-face interviews carried out on 10 transhumance and 15 semi-intensive meat sheep farms in Turkey. A total of seven GHG emission estimates were then calculated for each farm with the Agricultural Resource Efficiency Calculator (AgRECalc©) tool; i) total Carbon Dioxide (CO2) from energy use (kg CO2e), ii) total Carbon Dioxide equivalent (CO2e) from methane (kg CO2e), iii) total CO2e from nitrous oxide (kg CO2e), iv) whole farm and enterprise CO2e emissions (kg CO2e), v) net emission from land use (kg CO2e), vi) whole farm CO2e emissions per kg of farm output (kg CO2e/kg output), vii) product CO2e emissions (meat): kg CO2e / kg live weight, and viii) farm output (kg of sheep). Multivariate analyses (using R software) were carried out to compare both farm types and their respective carbon emissions. The total farm output per ewe was lower in the transhumance farms (7.4 kg/ewe) than in the semi-intensive farms (7.7 kg/ewe). The kg CO2e per kg of output was also lower for the transhumance farms (46.2 kg CO2e) than for the semi-intensive ones (56.5 kg CO2e). This trend was similar for the amount of CO2e per kg of live weight produced (20.8 kg and 25.4 kg for the transhumance and the semi-intensive farms, respectively). Despite overall net emissions from land use being greater on average for the transhumance farms, once measured per hectare, they were found to be lower than those for the semi-intensive farms. This study provides a reference point for different sheep production systems’ GHG emission impact in continental rangelands in Turkey.