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China is the largest paper producer and consumer in the world. However, China's paper industry is inefficient in its consumption of natural resources. Whereas the proportion of wood pulp used by the paper industry in developed countries is up to 63%, the corresponding figure for China is only 23%, leading to high energy and water consumption and severe environmental pollution. This article presents a systematic risk analysis using life cycle assessment and carbon footprint calculation associated with China's straw-pulp and wood-pulp paper industries. Risk prevention measures are proposed based on the results of this analysis. The study has important ramifications for the sustainable development of China's paper industry. [ABSTRACT FROM PUBLISHER]

The rapid growth of the livestock and poultry production in China has led to a rise in manure generation, which contributes to the emissions of GHGs (greenhouse gases including CH4, N2O and CO2) and other harmful gases (NH3, H2S). Reducing and managing carbon emissions has become a critical global environmental imperative due to the adverse impacts of GHGs. Unlike previous reviews that focused on resource recovery, this work provides an unique insight of transformation from resource-oriented manure treatment to integration of resource recovery with pollution reduction, carbon accounting and trading, focusing on the sustainable development of manure management system. Considering the importance of accounting methodologies for carbon emission and trading system toward carbon neutrality society, suggestions and strategies including attaching high importance to the development of more accuracy accounting methodologies and more practical GHG emission reduction methodologies are given in this paper. This work directs the establishment of carbon reduction methodologies and the formulation of governmental policies for livestock and poultry manure management system in China. [ABSTRACT FROM AUTHOR]

To investigate the impact of solar energy on the carbon footprint, to find effective measures to reduce the carbon footprint and slow global warming as soon as possible, this paper takes 30 provinces in China as an example. First, the inter‐regional input–output model is used to calculate the carbon footprint of each province. Then, the panel quantile regression model is used to investigate the impact of solar energy generation on different quantiles of carbon footprint. The results show that from 2012 to 2020, China's carbon footprint is at a high level, which is not conducive to the achievement of the goal of peaking carbon dioxide emissions. The eastern region has the highest carbon footprint, followed by the western region, the central region has the lowest carbon footprint, and its carbon footprint proportion continues to decline. The increase of solar energy generation can significantly reduce the carbon footprint of high quantile location, but has no significant impact on the carbon footprint of the middle and low quantile locations. Except for the negative impact of afforestation area on carbon footprint, the others control variables are all positive. Therefore, to reduce the carbon footprint of China, it is necessary to upgrade solar technology, increase solar energy generation, reduce energy consumption per unit of GDP (Gross Domestic Product) and the share of coal consumption, strengthen forestry management and reduce reliance on private vehicles. [ABSTRACT FROM AUTHOR]

Since the concept of carbon asset is still new to most power enterprises, they generally lack the knowledge and experience of carbon asset management, to help them cope with the related works, this paper proposes a carbon footprint tracking and quantitative analysis model for power enterprises based on thermodynamics. At first, by employing thermodynamic theories, this paper established an inventory model through the measurement and calculation of carbon concentration and carbon emissions, which can fix defective items, improve inventory efficiency, and save inventory cost. Then, the paper used thermo-economics and the TOPSIS method to construct a carbon inventory index system containing indexes such as carbon exergy ratio and regulation interval, which can reduce the error of carbon emission intensity and update the carbon account information in a timely manner. After that, the carbon footprint was calculated by coupling the carbon thermal map with the multi-dimensional evaluation mechanism, thereby achieving accurate control of carbon emissions and realizing the energy-saving and emissionreduction goals. At last, the attained experimental results showed that, the proposed carbon inventory measurement model established based on thermodynamics can effectively regulate the emission behavior of power enterprises, help achieve the ultimate purposes of reducing cost, increasing efficiency, and optimizing environment. The work done in this paper could provide theoretical support for making decisions for the smooth development of carbon rights market in China. [ABSTRACT FROM AUTHOR]

Controlling household consumption is an essential means to achieve carbon neutrality in China, and population ageing has an important impact on its structure. Since older people exhibit different consumption patterns than younger people, an increase in the proportion of aged people affects overall consumption patterns. This paper adopts an input–output model to reflect the heterogeneity in the consumption structure and household carbon footprint of different age groups, followed by a simulation of the future household carbon footprint. The results find that in China, the total household carbon footprint shows an inverted U-shape with age, with the lowest total carbon footprint coming from aged households (age of household head 65 and above) and the highest total carbon footprint from middle-aged households (age of household head 45–54). The average household carbon footprint decreases with age, with aged households remaining the lowest. Aged households, however, have the highest share of the direct carbon footprint. Interestingly, urban households of all ages have a higher carbon footprint than rural households, with the largest difference being among aged households. The projection results show that based on demographic changes, although the average household carbon footprint of elderly households in China is low, as the number of elderly households increases, the total carbon footprint of elderly households will be sizable and need to be taken seriously. The total carbon footprint of elderly households will become more significant and sizable as the number of elderly households increases. Urban life is more carbon-intensive, and China's urbanization is leading to an increase in the carbon footprint. Aged households require more attention in future climate policies. Targeted, consumption-based climate policies are necessary for carbon reduction in China and will have relevance in other countries with similar consumption structure and demographic trends, e.g. with ageing or rapidly urbanizing populations. [ABSTRACT FROM AUTHOR]

In the context of global warming, agriculture, as the second-largest source of greenhouse gas emissions after industry, had attracted widespread attention from all walks of life to reduce agricultural emissions. The carbon footprint of the planting production system of the Heilongjiang Land Reclamation Area (HLRA), an important commodity grain base in China, was evaluated and analyzed in this paper. On this basis, this paper sought feasible strategies to reduce carbon emissions from two aspects: agronomic practices and cropping structure adjustment, which were particularly crucial to promote the low-carbon and sustainable development of agriculture in HLRA. Therefore, using the accounting methods in IPCC and Low Carbon Development and Guidelines for the Preparation of Provincial Greenhouse Gas Inventories compiled by the Chinese government, relevant data were collected from 2000 to 2017 in HLRA and accounted for the carbon emissions of the planting production system in four aspects: carbon emissions from agricultural inputs, N2O emissions from managed soils, CH4 emissions from rice cultivation and straw burning emissions. Then carbon uptake consisted of seeds and straws. Finally, with farmers' incomes were set as the objective function and carbon emissions per unit of gross production value was set as the constraint, this paper simulated and optimized the cropping structure in HLRA. The results showed that there was a "stable-growing-declining" trend in the total carbon emissions and carbon uptake of the planting production system in HLRA, with total carbon emissions of 2.84x1010 kg and total carbon uptake of 7.49x1010 kg in 2017. In the past 18 years, carbon emissions per unit area and carbon emissions per unit of gross production had both shown a decreasing trend. To achieve further efficiency gains and emission reductions in the planting production system, it was recommended that the local governments strengthen the comprehensive use of straw resources, optimize irrigation and fertilization techniques, and adjust the cropping structure, i.e., increase the planting area of maize and soybeans and reduce the planting area of rice, and increase subsidies to protect the economic returns of planters. [ABSTRACT FROM AUTHOR]

The increasing contribution of refrigeration systems to global warming has led to widespread demand for low global warming potential (GWP) refrigerants as alternatives. This paper proposed a comprehensive environmental assessment method for evaluating the carbon footprint of units charged with low-GWP refrigeration. Experimental and numerical studies were used to investigate the carbon footprint impact of using alternative refrigerants at different ambient temperatures in China. Initially, the model was validated through experimental case studies on the use stage of cold storage units. Subsequently, a comparison was made between the cooling capacity (CC) and energy efficiency ratio (EER) of cold storage units charged with different refrigerants. Additionally, the impact of alternative refrigerants in the use stage was analyzed by numerical calculations, and the adaptability of the cold storage unit to the ambient temperature and the national energy structure was also studied. The results indicate that among the four stages of the cold storage unit, the use stage is the hotspot of carbon footprint due to the large amount of energy consumption and the existence of refrigerant leakage and other behaviors. Utilizing low-GWP alternative refrigerants could significantly reduce the carbon footprint of the cold storage units' use stage by 10.56%–16.39%, thereby lowering the whole stage carbon footprint. Furthermore, the ambient temperature and national energy structure could also effectively reduce the carbon footprint of cold storage units' whole stage by 1%–27.17%. Furthermore, after adopting low GWP refrigerants, the life-cycle cost (LCC) of the units have also decreased by 6.1%–12%. Taking into account both environmental impact and economic considerations, it is recommended to directly replace R404A with R448A in the units in regions where the average ambient temperature is above 15 °C. • A carbon footprint evaluation model for the units was established. • Influencing factors of carbon footprint are studied numerically and experimentally. • By GHG assessments, the optimal refrigerant and external conditions were determined. • Alternative refrigerants reduce carbon emissions for cold storage units by 8.8%–24.92%. [ABSTRACT FROM AUTHOR]

Within the context of climate change and population growth, the development of urban agriculture is of great environmental and economic significance in rapidly urbanizing China. Based on the primary survey data, this paper evaluated the carbon footprint (CF) and economic efficiency of urban agriculture in Beijing (China) using the life cycle assessment method (from cradle to consumption approach). Two cases were analyzed and compared considering their differences in on-farm cultivation and off-farm supply chains: a conventional small householder farm that sells its vegetables directly to consumers in a local market, and a large home-delivery agriculture (HDA) initiative that delivers its vegetables to the consumers' home directly. Both cases were equipped with greenhouses with plastic covering but no heating system. The CF of the production, transportation and distribution of 1 kg fresh vegetables was estimated at 0.318 kg CO 2 -eq kg−1 and 0.624–0.652 kg CO 2 -eq kg−1 for conventional and HDA initiative farm, respectively. However, the HDA initiative showed a better environmental performance than the conventional operation when taking economic efficiency into consideration. The CF per unit of profit of HDA initiative (0.093–0.097 kg CO 2 -eq per CNY) was lower than conventional farm (0.111 kg CO 2 -eq per CNY). The lower CF per unit of product weight of the conventional farm was largely attributed to the high yield and the lower CF per unit of profit of the HDA initiative was mainly due to the outstanding economic profitability through income optimization. The major hotspots of CF in both cases were greenhouse plastic films in the cultivation phase (from cradle to farm gate) and transportation in the supply chain (from farm gate to consumption). Simulation of a switch to biodiesel instead of gasoline and diesel in combination with the replacement of current fossil-fuel-dominated electricity by hydro-powered electricity resulted in 20.0–21.8% reduction in the total CF. By identifying the CF hotspots of two farm cases, particular inputs and activities can be targeted for adjustment in order to effectively reduce the CF of urban agriculture in Beijing. [ABSTRACT FROM AUTHOR]

Due to unclear research boundaries and a confusion between direct and indirect emissions, the impact of the circular economy (CE) on carbon emissions needs to be researched in depth. In this paper, we use a life cycle model based on carbon emissions and carbon reduction to build an emissions (reduction) matrix for the carbon footprint (CF) of coal-fuelled power generation, and then calculate the life cycle carbon emissions from China's coal-fuelled power CE parks. Results show that carbon emissions from China's coal-fuelled power at the industrial park level follow the trend of raw coal production and consumption, increasing from 2000 to a maximum of 3.25 billion tCO 2 e in 2014, with the proportion of direct emissions remaining stable at above 86%. The life cycle CF in 2016 was 778.9 gCO 2 /kWh, a decrease of 20.81% compared to 2000. The positive and negative impacts of the CE from 2000 to 2016 were quantitatively analysed, and resource recycling measures will reduce the overall carbon emissions of industrial parks through the substitution of carbon-intensive energy sources. Finally, policy recommendations are proposed to reduce life cycle carbon emissions by energy replacement and embodied emissions control. The novelty of this study is the quantitative evaluation of indirect carbon emissions caused by the CE and determining the correlation between CE and carbon emissions reduction. • Highlight the indirect impact of the circular economy on carbon emissions. • Evaluate the carbon footprint (carbon emissions and reduction) of coal-fuelled power. • The life cycle carbon footprint decreased by 20.81% between 2000 and 2016 to reach 778.9 gCO 2 /kWh. • Circular economy had an overall net reduction in carbon emissions. [ABSTRACT FROM AUTHOR]

Building Information Modeling (BIM) is regarded as a potential vehicle to tremendously improve the information flow throughout the life cycle of a building. The integration of BIM and Life Cycle Assessment (LCA) has potential to reduce the time for life cycle inventory, and at the same time, substantially improve the representativeness of the LCA results for the specific building design. The latter merit is not trivial. For instance, due to time limit, most building LCA studies estimate the building materials and fuels consumed in construction phase quite roughly, which excludes the choices on a wide range of construction techniques, materials, specialties and machines, no need to mention the energy consumption in operation phase, which is usually estimated in an even bolder manner. The roughness of the LCA practice undermines its credibility and hinders its application as a decision supporting tool for low carbon design. Currently, China's Architecture, Engineering and Construction (AEC) sector is undergoing a smart transformation, steered by the increased use of BIM. This paper presents a BIM-enabled LCA method and illustrates how the method can be used to facilitate the low carbon design under the circumstance of the smart AEC transition in China. A case study on carbon footprint accounting for a residential building is conducted. In this study, various software tools and data sources are combined to enhance the data flow and interoperability between BIM models and LCA models. BIM tools are used to create the BIM model, calculate the inputs (materials, construction machines, energies, water and so on) of on-site construction process and simulate the energy consumption of building operation. The eBalance, a China's local LCA software tool is applied to build the LCA model. The Chinese Life Cycle Database is used as the main data source (72.73%) to calculate the carbon footprint of the given building while the Ecoinvent database and European Life Cycle Database act as supplementary. The results show that the carbon footprint of the building is 2993 kg CO 2 eq/m 2 . The operation phase contributes to 69% of the total greenhouse gas (GHG) emission, while the building material production contributes to 24%. Concrete is the most used building material, which accounts for 82% of mass but contributes to only 44% of the material related GHG emission. Although steel and aluminum account for only 2.6% and 1.4% of mass, they contribute to 28% and 17% GHG emission, respectively. Through BIM-enable LCA modeling, the potential life cycle environmental performance of the buildings can be assessed in detail. This makes the LCA not only more accessible but also more credible for the AEC professionals to use it as a guide for the low carbon design of buildings. [ABSTRACT FROM AUTHOR]

As one of the largest energy consumers, the transport sector generated direct and indirect emissions which significantly affect the environment, accounting for approximately one-third of the total carbon emissions. While the major impacts are from transport energy use and emissions, very few studies attempted to examine the impacts from transport infrastructure, especially at a city or country level. This paper, taking Shenzhen in China (a fast developing megacity) as the case study, is specially designed to quantify the carbon footprint of the urban roads by using streamlined life cycle assessment method. For given years (ranged from 2004 to 2013), various activities of urban roads (e.g. newly planned road construction, maintenance of road in use, and road renovation and demolition) have been examined in this study. The results show that the total carbon footprint from urban roads in Shenzhen was 260 (±20) thousand tons CO 2 e in 2013. The major contributor was the materials use (embodied impact) from newly constructed roads, which accounts for 52.3% of the total carbon footprint, followed by the maintenance stage (24.3%). The eco-design process of road construction plays a vital role in achieving the effective carbon footprint reduction. These findings help to better understand the carbon footprint from urban roads in megacities, and provide useful inputs for policy making process in terms of identifying carbon reduction opportunities for the transport sector. In addition, the methodologies are useful for the quantification of carbon footprint in other cities of China and beyond. [ABSTRACT FROM AUTHOR]

The reserves and exploitable capacity of the wind power resource in China are both ranked first in the world and could be developed to strengthen China’s energy security and mitigate global warming. Carbon footprint accounting of wind farms is vital for large-scale wind energy exploitation. This paper establishes a systematic accounting framework with life cycle assessment (LCA) and input–output analysis (IOA) for the overall carbon footprint of the life cycle of a typical wind farm. Carbon emissions from the construction, operation, and dismantling phases are considered in the LCA of the wind farm. Then, each expense of the wind farm is treated as a change in exogenous demand for the output of the corresponding economic sectors according to the IOA. In addition, the virtual carbon footprint from peak regulation triggered by the on-grid fluctuation of wind power is incorporated. The results show the total carbon footprint of the studied wind farm is 1.45 × 10 4 tCO 2 over the 21-year lifetime. The construction phase accounts for the largest fraction (76.74%), followed by the operation phase (15.32%) and dismantling phase (7.94%). According to the IOA, the indirect carbon footprint of the wind farm is greater than the direct footprint. The “Smelting and Pressing of Metals” sector that produces the steel and copper used to manufacture the wind turbines dominates the carbon footprint. The virtual carbon footprint of coal-fired power for wind power peak regulation is estimated to be 2.08 × 10 3 tCO 2 , which is close to that of the operation phase. [ABSTRACT FROM AUTHOR]

Abstract: Carbon footprint has become a term often used by the media in recent days. The human carbon footprint is professed to be a very serious global threat and every nation is looking at the possible options to reduce it since its consequences are alarming. A carbon footprint is a measure of the impact of human activities on earth and in particular on the environment; more specifically it relates to climate change and to the total amount of greenhouse gases produced, measured in units of carbon dioxide emitted. Effort of individuals in minimizing the carbon footprint is vital to save our planet. This article reports a study of the carbon footprint of various types of shopping bags (plastic, paper, non-woven and woven) using life cycle impact assessment (LCIA) technique in two stages. The first stage (baseline study), comprised the study of the impact of different types of shopping bags in the manufacturing phase, without considering their usage and disposal phases (cradle to gate stage). The LCIA was accomplished by the IPCC 2007 method, developed by the Inter Panel on Climate Change in SIMAPRO 7.2. The GWP (Global Warming Potential) values calculated by the IPCC 2007 method for 100 years were considered as a directive to compare the carbon footprint made by the different types of shopping bags under consideration. The next stage was the study of the carbon footprint of these bags including their usage and disposal phases (cradle to grave stage) and the results derived were compared with the results derived from the baseline study, which is the major focus of this research work. The values for usage and end-of-life phases were obtained from the survey questionnaire performed amongst different user groups of shopping bags in China, Hong Kong and India. The results show that the impact of different types of shopping bags in terms of their carbon footprint potential is very high if no usage and disposal options were provided. When the carbon footprint values from different disposal options were compared, the carbon footprint values were lower in the case where a higher percentage of reuse is preferred to recycling and disposing to landfill. The results indicate that a higher percentage of reuse could significantly scale down the carbon footprint. Once the shopping bags reached the point where they can no longer be reused, they must be forwarded to recycling options, rather than being disposed to landfill. At this juncture, consumer’s perceptions and behaviours in connection with the respective government’s policies in promoting & facilitating recycling systems could be critical in reducing the carbon footprint of various shopping bags. [Copyright &y& Elsevier]

Based on current research on carbon footprint, this paper proposes concepts and models pertaining to regional carbon capacity, carbon footprint density, and the carbon footprint coupling degree. Dynamic analysis on the variation of carbon footprint and the degree of coupling of carbon footprint in Liaoning province, from 1996 to 2014, was carried out. The impact of economic development, energy intensity, energy efficiency, population pressure, and the energy structure on the carbon footprint of the Liaoning Province was analysed by logarithmic mean Divisia index (LMDI) method. Results indicated that the carbon footprint emitted in Liaoning increased annually by 8.249% from 52.06065 million t to 1.3494741 billion t. The degree of coupling of carbon footprint changed from 3.4732 in 1996 to 0.2484 in 2014. The coupling coordination process underwent two stages: coupling imbalance and basic coupling. Economic development, population pressure, and energy intensity contribute to the increase in carbon footprint. Economic development is the main contributor. Energy efficiency and energy structure impede the emission of carbon footprint. Carbon footprint in Liaoning can be reduced by optimising industrial structure and distribution, developing new energy resources and improving the coverage of solid carbon vegetation. [ABSTRACT FROM AUTHOR]

Many countries like China are in a dilemma between economic growth and environmental deterioration (e.g., smog weather). Simultaneously, a growing people concern the product's environmental performance along with their improving environment awareness. This paper focuses on the impacts of carbon footprint and low-carbon preference on the production decision of emission-dependent firms in the cap-and-trade system. The cap-and-trade system uses the total “cap” to attain environmental goals and allows “trade” to achieve the effective scheduling through market regulation. Under this mechanism, through analyzing the influence of carbon footprint and low-carbon preference on the market supply and demand, we build a production optimization model and develop the optimal decisions. Several interesting management insights on environmental preference and policy are concluded. [ABSTRACT FROM AUTHOR]

• Impact-based water footprint of rolled steel production is first performed. • Fossil energy footprint and carbon footprint are evaluated by using LCA. • Maritime transport, iron power and direct emissions are major contributors. • Adjustment of industrial structure is essential for carbon mitigation of steel industry. The Iron and Steel Industry (ISI) is a difficult-to-mitigate sector that has considerable contributions to energy consumption, water pollution, and CO 2 emissions. Despite broad interest in energy consumption and CO 2 emissions generated by steel production, there are few impact-oriented Water Footprint (WF) assessments of steel production. This study evaluates the water, carbon and fossil energy footprints generated from rolled steel production on the basis of life cycle assessment. Key contributors attributing to those environmental impacts are also identified so as to explore their potential mitigation. Using the Monte Carlo model, an uncertainty analysis is conducted with the aim of providing reliable results for decision-making. Results show that the impact per ton China's rolled steel production has on global warming, human health, ecosystem quality, and resources is 4.40 × 103 kg CO 2 eq (GSD2 = 1.24), 4.15 × 10-3 Disability Adjusted of Life Years (DALY) (GSD2 = 1.31), 7.08 × 10-5 Species·yr (GSD2 = 2.04), and 4.39 × 104 MJ (GSD2 = 1.28), respectively. Global warming and freshwater ecotoxicity is the dominant contributor to the damage impact on human health and ecosystem quality, respectively. Results also show that the transport (freight ship) of raw materials and the production of iron powder are the two main contributors to the overall impact on the environment that rolled steel production has. Several policy recommendations are proposed in this paper, which focus on adjusting the steel industry's industrial structure, promoting the national-level carbon emissions trading in the ISI, promoting international cooperation, and improving public awareness of green and low-carbon development. Such policy recommendations provide decision-makers with valuable insights, which thus allow them to prepare the appropriate mitigation policies. [ABSTRACT FROM AUTHOR]

China shares 13.15% and 69.23% of the global magnesite reserves and production respectively. Magnesia is an important connecting link between magnesite and refractory. It is approximately over 80% of magnesite industry that the carbon emitted from magnesia production is directly caused by carbonate decomposition and fossil fuel combustion. Therefore, the study of carbon footprint in magnesia production is valuable for carbon reduction. However, the researches on carbon reduction in magnesia production are rare. In this paper, the carbon footprint method is employed to quantitatively investigate the carbon reduction capacity in magnesia production under the influence of product structure, production process and equipment, and energy source structure. The results show that, for different magnesia, the carbon footprints are 3.937–4.804 kgCO 2 -eq/kg of fused magnesia, 2.151–3.064 kgCO 2 -eq/kg of sinter magnesia and 1.440–2.221 kgCO 2 -eq/kg of light calcinated magnesia at present, respectively. Moreover, for improvement of production process and equipment, the carbon footprint of flash calcinator is 0.489–1.218 kgCO 2 -eq/kg lower than that of reverberatory furnace for light calcinated magnesia. Similarly, the application of a high-power electricity arc furnace decreases the carbon footprint by 0.763–3.506 kgCO 2 -eq/kg of fused magnesia. Furthermore, for energy source replacement, the introduction of nuclear power has a carbon reduction capacity of 0.334–2.058 kgCO 2 -eq/kg-magnesia compared with coal-fired power. It will be 0.473–3.172 kgCO 2 -eq/kg-magnesia when hydrogen is employed as fuel compared with natural gas and producer gas. Finally, the combination of nuclear power, hydrogen and the carbon capture system will further pull the carbon footprint down to 0.244–0.767 kgCO 2 -eq/kg-magnesia. [ABSTRACT FROM AUTHOR]

Abstract: To respond to the call of greenhouse gas emissions mitigation, an efficient carbon accounting framework should be proposed. Traditional narrowly defined estimation protocols that consider the direct emissions from native energy consumption may generally lead to underestimates of the carbon emissions derived from providing products and services. To comprehensively evaluate the supply-chain carbon performance in all economic sectors of China, the Economic Input–Output Life Cycle Assessment (EIO-LCA) based carbon footprint accounting framework should be employed. Because carbon emissions also occur in non-energy production processes, carbon emissions from the non-energy industrial process should also be incorporated into the accounting framework. This paper assessed 3 scopes of carbon emissions of Chinese economic sectors, including (1) direct emissions from energy consumption, and the industrial process, (2) emissions from purchased energy, (3) supply chain emissions combining both fuel combustion and industrial processes. The results shown that there is a huge underestimation of the carbon emission from various sectors using traditional carbon protocols compared with the tier 3 supply-chain CO2 emission. The emissions from industrial processes also constitute a large proportion, which cannot be ignored. In addition, we find that embodied CO2 emissions in exports concentrated on primary energy intensive sectors, indicating the importance of restructuring of export goods and services. It is proved that the three tier model provides a tool for decision makers to identify the national high carbon emission sectors and make effective carbon mitigation strategies. [Copyright &y& Elsevier]

Since the concept of low-carbon has been incorporated in all aspects, low-carbon tourism, as one of the vital branches of low-carbon economy, has grasped much attention from researchers. Under the current trends, the actual emissions of greenhouse gas will be doubled the planned target in the future, which are obviously overlooked by the tourism industry. In terms of carbon footprint measurement, this paper proposes a multi-dimensional model with four low-carbon sub-systems including economy, environment, control and management and selects Xingwen Global Geopark as the sample in the scenario-based planning. Inspired by the idea of responsible tourism, this paper applies dynamic model in measuring carbon footprint, so as to provide future policy implications for geoparks. Through the scenario-based prediction of carbon footprint in Xingwen Global Geopark, we found it has experienced a constant promotion in low-carbon development with increasing carbon footprint but decreasing carbon intensity; the booming of tourists may bring worsen carbon footprint, slow-paced increase of tourists but poorer low-carbonization will possibly result in high carbon intensity; the current path is not the best and not conducive for middle and later period before 2030; the results of scenario analysis indicate that the win-win development can only be achieved through the low-carbon construction of scenic spots. Image 101797 • A conceptual logical DPSIRM framework is developed for low-carbon tourism system. • Traditional static measurement for tourism-related carbon footprint is transformed into dynamic measurement. • Carbon footprint of key elements in tourism is dynamically illustrated under different scenarios. • Responsible tourism is introduced to enrich the perspective of scenario planning analysis. [ABSTRACT FROM AUTHOR]

Abstract: Characterizing the carbon footprint (CF) of agricultural production offers key information for pursuing low carbon agriculture and food consumption. While China has long strived for increasing food production capacity for its large and still growing population, the high emissions cost, especially from the over use of agro-chemicals, has been widely debated for the last decade. However, the CF of China''s crop production has not yet been assessed. This paper reports a basic estimate of CF of crop production using national statistical data available for the period of 1993–2007. The dataset includes the amount of individual agricultural inputs (fertilizer, pesticide, diesel, plastic film, etc.), cultivation area and total of production whole crops. Using the emission factors estimated for China''s agricultural features and available abroad, the mean overall CF of China''s crop production was estimated to be 0.78±0.08tCEha−1 yr−1 and 0.11±0.01tCEt−1 yr−1, for land use and bulk production respectively. For the duration the data covered, the carbon intensity under cultivation land use was seen to increase since 1993. Among the total, fertilizer induced emissions exerted the largest contribution of ∼60%, being 0.45±0.04tCE per ha and 0.07±0.01tCE per ton of production, on average. Compared to the UK, the estimated overall CF of China''s crop production was higher in terms of cultivation land use. While there was a significant positive correlation of carbon intensity with total production, carbon efficiency was shown in a decreasing trend during 2003-2007. Therefore, low carbon agriculture should be pursued, and the priority should be given to reducing fertilizer application in agriculture of China. However, for developing best management practices for climate change mitigation in crop production of China, further studies of crop and regional specific CFs and the variation with climate conditions and agricultural managements are needed. [Copyright &y& Elsevier]

The mismatching of grain production and consumption in space causes grain virtual water flow. Previous studies focused on the important role of virtual water trade in regional food security and its impact on water resource consumption, while this study focuses on the impact of virtual water flow on the environment. In this paper, two indexes of gray water footprint and carbon footprint were selected by footprint evaluation method to study the influence of virtual water flow on regional environment. The results show that the scale of grain virtual water flow gradually expanded, and the amount of virtual water flow increased from 67.14 Gm³ to 129.87 Gm³ from 1997 to 2014. The gray water footprint at a national scale showed a fluctuating trend, with obvious differences in temporal and spatial distribution. In addition, the total carbon footprint at the national scale increased from 290.2 Mton in 1997–430.4 Mton in 2014, basically showing a continuous increase trend. Provinces with larger gray water footprints are basically converted into import areas, and the total national gray water footprint reduced 64.74 Gm3. Meanwhile, the carbon footprint of the grain export region and import region changed significantly. Among the export areas, such as the Northeast region and the Huang-Huai-Hai region, the carbon footprint had an obvious downward trend. On the other hand, the carbon footprint of the import region in the south due to increasing of grain production to meet their own needs showed an increasing trend. Although virtual water flow reduced the gray water footprint and carbon footprint nationally, it increased the local environmental pressure on the export area. This study would be helpful in forming better water management policy and alleviating regional environment pressure. • Virtual water flow shows an environmentally friendly model in the overall situation. • Virtual water flow increases the gray water and carbon footprint in the export area. • The environmental impact rate of the export area is higher than that of import area. [ABSTRACT FROM AUTHOR]

Greenhouse gas emissions related to food production in selected countries around the world in 2000, 2007, and 2014 were analyzed in this paper. In recent decades, many studies have suggested that greenhouse gas emissions mostly caused by agricultural production should be reduced. However, a low-carbon agricultural sector often involves a reduction in inputs, which may result in smaller production volumes. Nevertheless, the overarching goal should be to maintain food production at a sufficient level to meet the population's food requirements. Food production is particularly important in the context of the forecasted growth of the world population. In this situation, greenhouse gas emissions per product unit should be regarded as a key indicator that reflects the environmental sustainability level of production processes. Defined as such, environmental sustainability was examined across the entire food production system—referred to as agribusiness. This study calculated the emissions of major greenhouse gases related to food production and compared them to the GDP of agribusiness. The average ratio of the agribusiness carbon footprint to GDP in countries examined was nearly 2 kg of CO 2 equivalent/USD in 2000. This value kept decreasing during the study period, reaching 1.21 in 2014. A decrease in the ratio was recorded despite an increase in agribusiness greenhouse gas emissions, which validated the research hypothesis that an increase in greenhouse gas emissions from agribusiness does not necessarily reflect a decline in the environmental performance of agribusiness production. This is especially true for China and Brazil, whose greenhouse gas emissions related to food production increased considerably in the years examined in this study along with a clear decline in emission levels per unit of agribusiness GDP. This study is innovative, because the literature does not provide any similar calculations for the food production subsystem, especially regarding emission levels per production unit. This approach required the authors to integrate the calculation methods used in agribusiness production with those applicable to agribusiness greenhouse gas emissions. Thus, this study relied on consistent methods developed by the authors to calculate these values. The research adds to existing literature by calculating the carbon footprint for the entire food production system, and it argues that better environmental performance of agribusiness production can be achieved despite higher greenhouse gas emissions. [ABSTRACT FROM AUTHOR]

Ambitious scenarios of carbon emission redistribution for mitigating climate change in line with the Paris Agreement and reaching the sustainable development goal of eradicating poverty have been proposed recently. They imply a strong reduction in carbon footprint inequality by 2030 that effectively halves the Gini coefficient to about 0.25. This paper examines feasibility of these scenarios by analyzing the historical evolution of both weighted international inequality in CO 2 emissions attributed territorially and global inequality in carbon footprints attributed to end consumers. For the latter, a new dataset is constructed that is more comprehensive than existing ones, and footprints are found to be more unequal than territorial emissions. In both cases, we find a decreasing trend in global inequality, partially attributed to the move of China from the lower to the middle part of the distributio. Still, realization of the redistributive scenarios would require an unprecedented reduction in global inequality far below historical levels. Moreover, the territorial emissions data, available for more recent years up to 2017, show a saturation of the decreasing Gini coefficient at a level of 0.5. This observation confirms an earlier prediction based on maximal entropy reasoning that the Lorenz curve converges to the exponential distribution. This saturation further undermines feasibility of the redistributive scenarios, which are also hindered by structural tendencies that reinforce carbon footprint inequality under global capitalism. One way out of this conundrum is a fast decarbonization of the global energy supply in order to decrease global carbon emissions without relying crucially on carbon inequality reduction. [ABSTRACT FROM AUTHOR]