Agricultural GHG Emissions Research Articles

Enhancing emission reductions in South African agriculture: The crucial role of carbon credits in incentivizing climate-smart farming practices

Agriculture faces environmental threats caused by climate change, exacerbated by greenhouse gas emissions (GHG). As a result, climate change is a pressing issue for agriculture, necessitating strategies like carbon credits to mitigate emissions and enhance productivity. Carbon credits are recognized as a prominent avenue for reducing emissions, as highlighted in the 2023 Climate Change Conference (COP28). However, research on carbon credit targeting non-CO2 emissions from agriculture is limited. Thus, this study employed stochastic frontier analysis (SFA) to examine panel data from 1991 to 2020, focusing on the effectiveness of climate-smart agriculture in reducing South African agricultural GHG emissions. The data included non-mechanical agricultural emissions sources, paying attention to emissions from crops and livestock. The findings supported the hypothesis, suggesting that increasing incentives, specifically carbon credits, can raise agricultural productivity while reducing emissions. The study also found that inefficiencies in agriculture significantly impact farm output and emissions. The results indicate that offering GHG carbon credits for agriculture promotes sustainable practices, as methane and nitrous oxide emissions are short-lived and can help reduce climate change impact through carbon sequestration. Prioritizing on-farm emissions, soil fertility improvement, reduced fertilizer use, and better livestock management can lead to positive change through climate-smart farming practices. Therefore, promoting customized GHG credits for agriculture mechanisms can lead to positive change through climate-smart farming practices. Thus, it is necessary to enhance mitigation strategies, policies, and farm practices. Finally, the study emphasizes the significance of evidence-based GHG credits for agriculture mechanisms policies and the need for future research into ways to persuade farmers to participate in the carbon credit market.

GHG emissions in Brazilian Agriculture and livestock sectors and the risk to Amazonia conservation

GHG emissions in Brazilian Agriculture and livestock sectors and the risk to Amazonia conservation

Integrating Agricultural Emissions into the European Union Emissions Trading System: Legal Design Considerations

In the European Union, greenhouse gas emissions statistics indicate only a slight decreasing trend over the last number of years in emissions from agricultural sources. Unless drastic action is taken in other sectors, the European Union’s 2030 and subsequent climate targets are unlikely to be met without greater reductions made in agricultural emissions. The policy instruments aimed at reducing agricultural emissions that are currently in place have proven to be ineffective; therefore, there is a need to look for new approaches towards bringing agricultural emissions down faster and farther. One obvious new approach is to integrate agricultural emissions into the European Union Emissions Trading System, which, so far, has proven very successful in reducing greenhouse gas emissions in the energy and industrial sectors. Hardly any attention has been paid in the scholarly legal literature to the question of integrating agricultural GHG emissions into emission trading systems. This article seeks to fill this gap. This paper presents the concluding findings of a Dutch Research Council-funded research project that aimed to assess whether and under what conditions the European Union Emissions Trading System could play a role in compelling the agricultural sector to reduce its greenhouse gas emissions. We answered this question by looking at lessons learned from existing examples in the world of market-based approaches to integrating agriculture into emission reduction schemes. To do this, we performed an ex-post assessment of three of the very few examples that exist in the world of such schemes in Canada, California, and Australia, followed by an ex-ante assessment of the prospect of including agricultural emissions under the European Union Emissions Trading System based on the practical experiences of those examples. In the ex-ante study, we evaluated how such inclusion could work, either indirectly, through allowing on-farm offset programs to reward increased carbon sequestration, or directly, by requiring farmers and/or other actors in the agricultural sector to surrender allowances for their direct emissions. As lawyers, we focused mainly on the legal considerations of such a proposition. Having conducted both the ex-ante and ex-post assessments, we conclude that introducing stricter legal instruments of one form or another that will reduce agricultural greenhouse gas emissions and increase carbon removal on agricultural land seems necessary for the European Union if it is serious about achieving its commitments under the Paris Agreement and meeting its obligations under its own Climate Law. The project makes a novel contribution to the legal scholarship in concluding that the most viable starting point for such stricter legislation would be to include methane and nitrous oxide emissions from livestock keeping and synthetic fertilizer use, respectively, under the European Union Emissions Trading System. To start with, this could be conducted by obliging meat and dairy processors and synthetic fertilizer producers to surrender allowances for the on-farm emissions associated with their products. This could be complemented by introducing a voluntary, but still highly regulated, carbon credits scheme that could encourage and reward farmers for reducing their own emissions and for transitioning to net-zero, and overall, more climate-resilient and environmentally friendly farming practices. Such credits could be offered for sale on the private carbon market as well as to Member State governments and the European Commission (through, for example, the Common Agricultural Policy, State Aid schemes, or the Innovation Fund).

Carbon budget of diversified cropping systems in southwestern China: Revealing key crop categories and influencing factors under different classifications

Cropping systems are considered the largest source of agricultural GHG emissions. Identifying key categories and factors affecting cropping systems is essential for reducing these emissions. Most studies have focused on the carbon budget of cropping systems from the perspective of a single crop or crop category. Comprehensive studies quantifying the carbon budget of diversified cropping systems, including farmland and garden crops, are still limited. This study aims to fill this gap by quantifying the carbon budget of diversified cropping systems, clarifying their carbon attributes, and identifying key crop categories and influencing factors within different classifications of the system. This study analyzed the carbon budget of a diversified cropping system consisting of 19 crops in Yunnan Province, southwestern China, using a crop-based net greenhouse gas balance methodology based on the “cradle-to-farm” life cycle idea. Crops were categorized into three levels of categories to assess the potential impact of categorization within the cropping system on its carbon balance. Results showed that Yunnan's diversified cropping system is a significant carbon sink, with net sequestration of 33.1 Mt CO2 eq, total emissions of 37.4 Mt CO2 eq, and total sequestration of 70.5 Mt CO2 eq. Cereals, vegetables, and hobby crops were the main contributors to carbon emissions, accounting for 41.61%, 21.87%, and 15.37%, respectively. Cereal crops also made the largest contribution to carbon sequestration at 53.18%. Bananas had the highest emissions per unit area (11.45 t CO2 eq ha−1), while walnuts had the highest sequestration (20.64 t CO2 eq ha−1). In addition, this study highlights effective strategies to reduce greenhouse gas emissions, such as reducing nitrogen fertilizer use, minimizing reactive nitrogen losses, and controlling methane emissions from rice fields. By elucidating the impact of carbon dynamics and crop categories, this study provides insights for sustainable agricultural practices and policies.

Carbon Footprint of Wheat and Maize: A Greek Case Study

Wheat and maize are two of the most dominant crops of considerable importance in human nutrition. At the same time, agriculture is responsible for about 1/3 of anthropogenic greenhouse gas emissions. The aim of this study is to estimate the carbon footprint of the two aforementioned important crops in the region of Larissa, Greece. Under this context, the emitted CO2eq- per kg of product, the corresponding emissions per hectare and per g of harvested plant protein were estimated. The carbon footprint was measured using the CoolFarm Tool (Cool Farm Alliance). Data were collected through questionnaires and interviews with local farmers. According to the results, the carbon footprint per hectare in maize (2,979 kg CO2eq- ha-1) is significantly higher compared to wheat (1,090 kg CO2eq- ha-1). In contrast, the differences in the footprints per kilogram of product and per g of harvested protein were insignificant. Tillage was found to be the main factor increasing CO2eq- emissions in both crops. In this research work we demonstrated that tillage regimes are crucial for mitigating agricultural related GHG emissions.

Climate Change Mitigation in Agriculture beyond 2030: Options for Carbon Pricing and Carbon Border Adjustment Mechanisms

SummaryIn the EU's climate policy, agriculture is covered as an Effort‐Sharing (ESR) sector, i.e. a sector beyond the Emission Trading System and LULUCF. Despite ambitious climate targets for the ESR sectors and an emerging focus on the need for agriculture to make a substantial contribution to climate change mitigation, agriculture has contributed much less to achieving climate targets than other ESR sectors in most EU Member States. A more radical mitigation instrument is required since the potential to increase climate efficiency in EU agriculture is limited. Carbon pricing is considered an effective instrument and is widely adopted in other sectors worldwide. Options on how to reduce related carbon leakage are discussed. Our recommendations for efficient climate change mitigation policy in agriculture are threefold. First, the agricultural sector needs more precise guidance and clear climate targets. Second, although preventing all conflicts between climate change mitigation actions and other policy goals is impossible and inefficient, a policy could minimise adverse effects. Third, since agricultural GHG emissions can only be minimised and compensated by negative emissions in other sectors, well‐defined intersectoral coordination is required.

Accounting for Greenhouse Gas Emissions in the Agricultural System of China Based on the Life Cycle Assessment Method

Agricultural systems contribute nearly one-third of global anthropogenic GHG emissions and are an important source of GHGs globally. The clarification of the GHG emission pattern from agriculture is of paramount importance in the establishment of an agricultural emission reduction mechanism and the realization of China’s dual-carbon target. Based on the life cycle assessment method (LCA), this paper comprehensively quantifies the greenhouse gas emissions from the agricultural system in China, encompassing rice, wheat, and corn cultivation as well as animal husbandry including cows, horses, donkeys, mules, camels, pigs, and sheep. The analysis covers the period 2000–2020 and examines the spatial distribution, temporal trends, and structural changes in the greenhouse gas emissions within China’s agriculture sector. The main results are as follows: (1) from 2000 to 2020, China witnessed a consistent upward trajectory in its total agricultural GHG emissions, exhibiting an average annual growth rate of 0.73%. Notably, methane (CH4) emissions emerged as the largest contributor, displaying an overall fluctuating pattern. Carbon dioxide (CO2) emissions demonstrated intermittent increases with a noteworthy annual growth rate of 3%, signifying the most rapid expansion within this context. Conversely, nitrous oxide (N2O) emissions experienced decline over the specified period. (2) GHG emissions from cultivation demonstrate an upward trajectory, primarily driven by the CH4 emissions originating from rice cultivation and CO2 resulting from straw incineration. Conversely, GHG emissions stemming from animal husbandry declined, with the primary source being CH4 emissions arising from animal enteric fermentation. Agricultural N2O emissions predominantly arise due to manure management and nitrogen fertilizer application. (3) Agricultural greenhouse gas emissions exhibit significant variations in spatial distribution, gradually concentrating towards the North China Plain, the middle and lower reaches of the Yangtze River, and the northeast. Specifically, agricultural CH4 emissions are progressively concentrated in China’s pivotal rice-growing regions, encompassing the middle and lower reaches of the Yangtze River Plain, as well as livestock breeding areas like Inner Mongolia. Agricultural CO2 emissions primarily concentrate in dryland crop production zones such as North China and Northeast China. Meanwhile, Agricultural N2O emissions predominantly occur in Inner Mongolia and the North China Plain. China’s agricultural greenhouse gas emissions in 2020 show a significant spatial clustering effect, with hotspots primarily concentrated in Shandong, Anhui, Henan, and other regions and cold spots focused in the western and southern areas. The emission patterns of agricultural GHGs are closely intertwined with farming practices, regional development levels, and national policy; hence, tailored measures for emission reduction should be formulated based on specific crop types, livestock categories, agricultural production activities, and regional development characteristics.

Business risk management programs and the adoption of beneficial management practices in Canadian crop agriculture

AbstractCanada's agricultural business risk management (BRM) programs require significant public expenditure, with unclear consequences related to climate change adaptation and mitigation through the adoption of beneficial management practices (BMPs). This study examines the relationship between Canada's current suite of BRM programs and the adoption of practices that mitigate GHG emissions in crop agriculture. We review the impacts of agricultural insurance on climate adaptation and mitigation, identifying impacts on both the intensive and extensive margins of production. We consider five potential program modifications, including: (1) changes in producer insurance premiums in AgriInsurance for the adoption of practices that would decrease the actuarially fair insurance rate if they were properly incorporated in the calculation; (2) dedicated insurance products related to trials of specific BMPs; (3) adjustments to current programs to allow more whole‐farm considerations and intercropping; (4) cross‐compliance measures on AgriInvest tied to environmental education; and (5) reduced insurance coverage for unfavorable environmental practices. While the effects of these potential modifications remain uncertain, they will drive the data collection process necessary to ensure that Canada's BRM programs play an appropriate role in greenhouse‐gas reducing BMP adoption and climate change adaptation and mitigation.

Impact of carbon pricing on mitigation potential in Chinese agriculture: A model-based multi-scenario analysis at provincial scale

China's ‘dual carbon’ goals seek to achieve peak CO2 emissions before 2030 and carbon neutrality before 2060. China is one of the world's largest emitters of agricultural greenhouse gases. Although existing studies have evaluated GHG mitigation potential in Chinese agriculture, few built models by incorporating socioeconomic conditions, technology diffusion, and carbon pricing policies. This study developed a bottom-up Agricultural Technology Optimisation Model (ATOM) for GHG mitigation, which selected optimal mitigation measure portfolios by minimising costs based on inventories of agricultural GHG and mitigation measures. It was employed to quantify long-term mitigation potential in Chinese agriculture under a range of socioeconomic and carbon pricing scenarios. GHG emissions in Chinese agriculture totalled 720.3 MtCO2e in 2017. Assuming an SSP2 scenario, the maximum technical mitigation potential of the evaluated measures in 2060 will be 554.1 MtCO2e, with 78.2% contributed by mitigation measures for crop production. 38.9% of this potential is possibly achievable with negative cost mitigation measures, and carbon pricing can help achieve greater emission reductions. Chinese agriculture theoretically possesses significant mitigation potential, but the implementation of mitigation measures may be hindered by multiple obstacles. The government should adopt counterstrategies to ensure that the agricultural sector remains on track to meet China's carbon neutrality goal.

The impact of agricultural land use change on agricultural GHG emissions in China

The impact of agricultural land use change on agricultural GHG emissions in China

Agricultural production and GHG emissions in the Brazilian Amazon

Agricultural production and GHG emissions in the Brazilian Amazon

Balance™ methodology – converting carbon finance to biodiversity creation

ABSTRACT This paper addresses two interlinked problems in sustainable development and suggests a methodology to resolve them. The first is the reduction of atmospheric greenhouse gas emissions, especially carbon dioxide. The second is the maintenance of biodiversity. Current carbon financing and environmental stewardship mechanisms underwhelm, often diluting intended positive effects. Most existing carbon credits do not have protection after 40 years, placing projects substantially beneath the C02 radiative forcing cycle. This paper presents the ‘Balance’ approach to sustainable development, including contractual principles ensuring C02 reduction, biodiversity enhancement and financial accountability. We describe two novel measures: a carbon calculator for commercial entities, and a new metric, the Balance Unit, combining biodiversity creation with carbon credits. A case study, spanning over 20 years at the Forest of Marston Vale, is then presented. It finds an increase in tree cover, CO2 sequestration, reduction in agricultural GHG emissions, sulphur dioxide and particulate matter absorption, and annual local economic benefits totalling £UK12.83 million. Expository detail regarding the ‘Planting Principles’ practised at Marston Vale is also provided. We argue that the Balance methodology, especially the Balance Unit, enables greater measurement reliability and long-term efficacy for maintaining biodiversity and reducing GHG emissions than current carbon financing approaches.

Unveiling the economic and environmental impact of policies to promote animal feed for a circular food system

Feeding animals with low-opportunity-cost feed (LCF) such as agricultural residues and by-products, and better use of local feed resources are discussed as strategies for transitioning towards more circular food systems. This study incorporates technical characteristics of livestock production into a global economic model to investigate the economic and environmental effects of these circular food system transitions in the European Union (EU27) in relation to the policies used to reach them. We compare the impact of LCF stimulating subsidies, budget-neutrality and import tariffs stimulating domestic sourcing. Providing only subsidies increases circularity and agricultural wages (0.1 to 0.3%), but also animal production (0.1 to 1.5%) with negative indirect effects on land use (0.3 to 1.1%) and emissions (1.3 to 8.0%). Promoting the use of LCF through budget-neutral subsidies and domestic feed sourcing through import tariffs, decreases animal production (-0.1 to -1.6%) and GHG emissions in agriculture (-0.4 to -6.0%). Synergy effects from subsidising DDGS, a biofuel by-product used as feed, increase biofuel production, positively contributing to lower GHG emissions (-0.3 to -0.6%) in 2030. However, budget-neutrality drives land use up (0.1 to 0.5%) while decreasing agricultural wages (-0.1 to -0.3%). This calls for complementary policies to mitigate drawbacks and enhance benefits of a more circular agri-food system in the EU27 in 2030.

Mitigating Greenhouse Gas Emissions from Crop Production and Management Practices, and Livestock: A Review

Agriculture is the second most important greenhouse gas (GHG: methane (CH4) and nitrous oxide (N2O) emissions)-emitting sector after the energy sector. Agriculture is also recognized as the source and sink of GHGs. The share of agriculture to the global GHG emission records has been widely investigated, but the impact on our food production systems has been overlooked for decades until the recent climate crisis. Livestock production and feed, nitrogen-rich fertilizers and livestock manure application, crop residue burning, as well as water management in flood-prone cultivation areas are components of agriculture that produce and emit most GHGs. Although agriculture produces 72–89% less GHGs than other sectors, it is believed that reducing GHG emissions in agriculture would considerably lower its share of the global GHG emission records, which may lead to enormous benefits for the environment and food production systems. However, several diverging and controversial views questioning the actual role of plants in the current global GHG budget continue to nourish the debate globally. We must acknowledge that considering the beneficial roles of major GHGs to plants at a certain level of accumulation, implementing GHG mitigation measures from agriculture is indeed a complex task. This work provides a comprehensive review of agriculture-related GHG production and emission mechanisms, as well as GHG mitigation measures regarded as potential solutions available in the literature. This review also discusses in depth the significance and the dynamics of mitigation measures regarded as game changers with a high potential to enhance, in a sustainable manner, the resilience of agricultural systems. Some of the old but essential agricultural practices and livestock feed techniques are revived and discussed. Agricultural GHG mitigation approaches discussed in this work can serve as game changers in the attempt to reduce GHG emissions and alleviate the impact of climate change through sustainable agriculture and informed decision-making.

The environmental and socioeconomic benefits of optimized fertilization for greenhouse vegetables

China produces more than half of global vegetables with greenhouse farms contributes approximately 35 % to the country's overall vegetable supply. The average nitrogen (N) application rate of greenhouse vegetable production exceeds 2000 kg N ha−1 yr−1, considerably contributing to global agricultural GHG emissions and reactive N (Nr) losses. Optimizing the N fertilizer utilization in greenhouse vegetable production is essential for mitigating environmental pollution and promoting sustainable development nationally and globally. In this study, we estimated the N footprint (NF), social costs (SC, which includes ecosystem and human health damage costs caused by Nr losses to the environment) and net ecosystem economic income (NEEI, which balances between the fertilizers input cost, yield profit, and social costs) of different greenhouse vegetables (tomato, pakchoi, lettuce, cabbage) under farmers' practice (FP) and reduced fertilization treatment (R). Results showed that compared with FP, the NF of tomato, pakchoi, lettuce and cabbage in the R treatment decreased by 61 %, 29 %, 46 % and 36 %, respectively, and the social costs were decreased by 60 %, 48 %, 57 % and 50 %, respectively. On the regional scale, the reduction in N fertilizer use for greenhouse vegetables in Beijing only could save the fertilizer input cost by 1–5 million USD, and avoided SC would increase by 1–14 million USD. As a result, this increased the NEEI by 2–19million USD. This study has demonstrated that adopting reduced fertilization practices represents a cost-effective measure that not only ensures yields but also decrease social costs, NF, and improve the benefits to help achieve sustainable development of greenhouse vegetable production.

Impacts of US Public R&D Investments on Agricultural Productivity and GHG Emissions

AbstractThis study formally links the literature on R&D-driven productivity growth to studies which examine GHG emission benefits from increased farm productivity growth. Using a global agricultural model and estimates from the literature, this study examines the impact of greater US public agricultural R&D spending over 2025−2035. The results show that roughly doubling public R&D investments in US agriculture could provide greater economic gains relative to its costs over the period 2017−2050. The GHG mitigation co-benefits from these investments also can be enhanced by combining R&D policies with strategies aimed at directly reducing farm inputs.

Land Use Policy Recommendations——Based on Empirical Analysis of The Effect of Agricultural Land Expansion on Greenhouse Gas Emission

Agricultural activities emit about 10-12% greenhouse gases each year. Moreover, the total amount is on the rise, which can significantly contribute to global warming. To get governments to pay more attention to greenhouse gas emissions from agricultural activities, so that the necessary regulations can be implemented. This paper studies the relationship between agricultural land expansion and greenhouse gas emissions. My initial hypothesis was that ceteris paribus, the agricultural land expansion would cause a rise in greenhouse gas emissions. I obtained 25 years of data for 12 countries from the World Development Indicators Database of the World Bank. And created a panel data frame. The variables exist in it are: Total greenhouse gas emissions (kt of CO2 equivalent), Energy use (kg of oil equivalent per capita), Alternative and nuclear energy (% of total energy use), Agricultural land (% of land area), GDP per capita (current US$). In order to cope with the possible heteroscedasticity problem in the regression, several of the variables were processed logarithms. This paper used a Two-way Fixed effect model which controls fixed effects from both cross section and time. The explained variable is log (GHG emissions), and the explanatory variables are log (energy use per capita), log (GDP per capita), clean energy using rate, and percentage of agricultural land in total land. However due to the presence of multicollinearity, log (GDP per capita) was removed. This paper also tested the autocorrelation and used the Cochrane-Orcutt Iterative Process to estimate the autocorrelation coefficient to transform all variables so that solve the autocorrelation issue. The final regression model is as follows: ln(Greenhouse Gases emission)= + 1.06*ln(Energy use per capita) – 0.009*(Alternative and nuclear energy % of total energy use) + 0.0074*(Agricultural land % of land area). = . The overall F-test of this model is significant, and the individual t-tests of the coefficients of each variable are all significant. R2=92.18, adjR2=91.04. This shows that the explanatory power of the model is strong. This outcome is consistent with my initial hypothesis that agricultural land expansion does lead to an increase in greenhouse gas emissions. The other two coefficients are also consistent with our common sense. This result can help governments to decide on the planning of land use. If the current amount of energy used and the types of energy used do not change, a country develops agriculture, it will inevitably lead to more greenhouse gas emissions. More Importantly, it is not like industrial manufacture, normally there are few regulations and policies on agricultural GHG emissions. But the quantitative results of the model tell us that as agriculture expands, it is necessary for the government to implement regulations and policies on it.

Cooperation between specialized cropping and livestock farms at local level reduces carbon footprint of agricultural system: A case study of recoupling maize-cow system in South China

Decoupling of crop and livestock production has become increasingly common in the world during to past decades. The cooperation between specialized crop and livestock farms have been paid more attention for the development of sustainable agriculture. This study assumed that rebuilding the linkage between specialized crop and livestock farms through cooperation at the local level would decrease agricultural GHG emissions. Therefore, we designed a cooperative crop-livestock farming model (CCLS) in South China by recoupling the cow farm with the sweet maize cultivation farms around it to demonstrate the hypothesis based on carbon footprint (CF) method. The CFs under two cooperative scenarios (CCLS20 and CCLS50) were compared with the corresponding decoupling models (DCLS20 and DCLS50). Results showed that CCLS significantly reduced GHG emissions from cropping systems in comparison to DCLS primarily by increasing the soil organic carbon storage while decreasing accumulative N2O emissions. In specific, the CFs of CCLS20 and CCLS50 were 48.78% and 623.34% lower than DCLS20 and DCLS50, respectively. The yield-based CFs of CCLS20 and CCLS50 were 66.30% and 165.99% lower than DCLS20 and DCLS50, respectively. Meanwhile, the CF of the cow farm in CCLS20 and CCLS50 were 8.80% and 8.22% lower than that in DCLS20/50 by lowering relative GHG emissions of straw supply in roughage forage and shortening manure storage time in the manure management process. Finally, the yield-based CF in CCLS20 and CCLS50 were 67.68% and 168.51% lower than the DCLS20 and DCLS50, respectively, demonstrating that the cooperation between specialized planting and livestock farms at local level reduced the CF of the agricultural production chain by the synergistic reduction effects of GHG emissions in cropland, livestock rearing and transportation processes. The results would provide a quantitative understanding of the net GHG emission of cooperative crop-livestock system at the local level in China and valuable information for the development of sustainable farming system in the world.

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.

The transition of agriculture to low carbon pathways with regional distributive impacts

This study, based on agricultural sector modelling, shows how changes in food consumption and land use measures can reduce GHG emissions from Finnish agriculture, and what are the impacts on regional levels of agricultural production, land use, GHG emissions, and farm income. The results demonstrate that it is difficult to achieve a large reduction in GHG emissions from agriculture by just changing diet alone. There is a big disparity in the distribution of farm income among the main regions in Finland due to a radical decrease in the consumption of livestock products. However, land use measures alone do not create the disparity in farm income among the different regions. Combining changes in diet and land use is the most effective in mitigating GHG emissions from agriculture, but the relatively disadvantaged regions with high shares of livestock production and peatlands may experience major restructuring in agriculture and land use.