Academic literature on the topic 'Carbon footprint'

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Journal articles on the topic "Carbon footprint"

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Chen, Bilin, Weiran Qian, Yiduo Yang, Hong Liu, and Laili Wang. "Carbon Footprint and Water Footprint of Cashmere Fabrics." Fibres and Textiles in Eastern Europe 29, no. 4(148) (August 31, 2021): 94–99. http://dx.doi.org/10.5604/01.3001.0014.8235.

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Given the serious problems of climate change, water shortage and water pollution, researchers have paid increasing attention to the concepts of the carbon footprint and water footprint as useful indices to quantify and evaluate the environmental impacts of the textile industry. In this study, assessment of the carbon footprints and water footprints of ten kinds of cashmere fabrics was conducted based on the PAS 2050 specification, the Water Footprint Network approach and the ISO 14046 standard. The results showed that knitted cashmere fabrics had a greater carbon footprint than woven cashmere fabrics. Contrarily, woven cashmere fabrics had a greater water footprint than knitted cashmere fabrics. The blue water footprint, grey water footprint and water scarcity footprint of combed sliver dyed woven cashmere fabric were the largest among the ten kinds of cashmere fabrics. The main pollutants that caused the grey water footprints of cashmere fabrics were total phosphorus (TP), chlorine dioxide, hexavalent chromium (Cr (VI)) and sulfide. The leading contributors to the water eutrophication footprint were total nitrogen, ammonia nitrogen, chemical oxygen demand and TP. These typical pollutants contributed 39% ~ 48%, 23% ~ 28%, 12% ~ 24% and 12% ~ 14% to each cashmere product’s water eutrophication footprint, respectively. The leading contributors to the water ecotoxicity footprint were aniline, Cr (VI) and absorbable organic halogens discharged in the dyeing and finishing process.
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Gustavsson, D. J. I., and S. Tumlin. "Carbon footprints of Scandinavian wastewater treatment plants." Water Science and Technology 68, no. 4 (August 1, 2013): 887–93. http://dx.doi.org/10.2166/wst.2013.318.

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This study estimates the carbon footprints of 16 municipal wastewater treatment plants (WWTPs), all situated in Scandinavian countries, by using a simple model. The carbon footprint calculations were based on operational data, literature emission factors (efs) and measurements of greenhouse gas emissions at some of the studied WWTPs. No carbon neutral WWTPs were found. The carbon footprints ranged between 7 and 108 kg CO2e P.E.−1 year−1. Generally, the major positive contributors to the carbon footprint were direct emissions of nitrous oxide from wastewater treatment. Whether heat pumps for effluents have high coefficient of performance or not is extremely important for the carbon footprint. The choice of efs largely influenced the carbon footprint. Increased biogas production, efficient biogas usage, and decreased addition of external fossil carbon source for denitrification are important activities to decrease the carbon footprint of a WWTP.
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Ho, Zih Ping. "Restaurant Facilities Layout - Reducing Carbon Footprint Aspect." Applied Mechanics and Materials 58-60 (June 2011): 618–23. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.618.

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Reducing carbon footprint is a trend within modern green restaurants. A carbon footprint is the total set of greenhouse gas (GHG) emissions caused by an organization, event or product. Food and beverage restaurants have to deliver food using a minimal carbon footprint. Of previous researches, only a small fraction is focused on reducing carbon footprints in a culinary room. Besides, a carbon footprint cost model was hard to solve in economic computation time. Therefore, the main purpose of this research is through a distributed information system to accelerate computing ability of a carbon footprint cost model. Through the distributed computing, our experimental results showed that the proposed approach outperformed the literature approach efficiently. The algorithm improved rate was 68.6%, and low down 82.1% carbon footprint than manual. The proposed approach could contribute to accelerate calculations in others problems due to using multiple machines in future researches.
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Qafisheh, Nida, Makhtar Sarr, Umm Amara Hussain, and Shikha Awadh. "Carbon Footprint of ADU Students: Reasons and Solutions." Environment and Pollution 6, no. 1 (March 31, 2017): 27. http://dx.doi.org/10.5539/ep.v6n1p27.

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The objective of the study was to calculate the carbon footprint of ADU students, studying environmental sciences and environmental health & safety and compared it with the average carbon footprint of UAE. Students’ activity, which contributed to the highest emissions of carbon dioxide per year, has been determined. The carbon footprints were calculated using the online carbon footprint calculator, which estimated the CO2 emissions of each student. The method resulted from different activities like consumption of gas and electricity, transportation, flights, food as well as other different activities are associated with individual’s life style. The average carbon footprint of Environmental ADU students after decreasing their emissions was 12.22 tons CO2/year, which was 68%, less than the average carbon footprint of UAE (37.8 tons/year). The public transportation, driving friendly cars, eating locally and living in a simply sustainable life style are great solutions to reduce an individual carbon footprint.
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Weidema, Bo P., Mikkel Thrane, Per Christensen, Jannick Schmidt, and Søren Løkke. "Carbon Footprint." Journal of Industrial Ecology 12, no. 1 (February 2008): 3–6. http://dx.doi.org/10.1111/j.1530-9290.2008.00005.x.

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Krishnan, Dr Mahalaxmi. "Green Initiatives for Reducing Carbon Footprint." International Journal of Scientific Research 1, no. 2 (June 1, 2012): 78–79. http://dx.doi.org/10.15373/22778179/jul2012/24.

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Jóhannesson, Sigurður E., Jukka Heinonen, and Brynhildur Davíðsdóttir. "Data accuracy in Ecological Footprint’s carbon footprint." Ecological Indicators 111 (April 2020): 105983. http://dx.doi.org/10.1016/j.ecolind.2019.105983.

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OKEKE, G. N. "CARBON FOOTPRINTS & GLOBAL CLIMATE CHANGE IN RELATIONSHIP TO PUBLIC HEALTH & LOCAL ECONOMIC EFFECTS." Open Journal of Environmental Research (ISSN: 2734-2085) 3, no. 2 (December 23, 2022): 65–76. http://dx.doi.org/10.52417/ojer.v3i2.450.

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Carbon footprints of individuals and organizations around the globe are fueling the current climate change trend leading to enormous negative effects on human health and the economy. The carbon generated by humans and their activities are heating the earth unsustainable and the evidence is well established in the literature. The impacts of human carbon footprints induced climate change on health and the economy are been published widely in the literature. This review succinctly x-rayed the impact of human carbon footprints on public health and the economy within the African context. The relationship between carbon footprint and public health was conceptualized as continuous cyclic interaction, continuously bringing woes to mankind. Carbon footprint impact on public health was presented to be in two ways – directly or indirectly. The direct impact of carbon footprints on public health was explored under five (5) thematic areas, which are: impact on extreme weather events (hurricanes, storms, and floods), impacts on temperature, impacts to air pollution, impacts to water- and foodborne diseases, and impacts to vector and rodent-borne diseases. The impact of a carbon footprint on the economy was seen as an indirect impact on humans and a huge change in human lives. It is recommended that carbon footprints should be calculated at every level individual, organization, process, product, national and continental; to drive accountability to the environment by all and for all
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Johnson, Eric, and Alex Gafford. "USA Carbon Footprints of Grills, by Fuel & Grill Type, 2022–27." Fuels 3, no. 3 (August 3, 2022): 475–85. http://dx.doi.org/10.3390/fuels3030029.

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Grill-specific footprints for common fuel/grill types in the USA have been estimated from public information and data from a major grill manufacturer. In 2022, grill-specific footprints vary by a ratio of 9:1. A typical gas grill has the highest footprint; a wood-pellet grill is lowest; charcoal briquettes, electricity and super-efficient gas grills come in-between those two. Efficiency varies greatly for gas (natural gas or propane) grills: a typical gas grill has twice the footprint of a super-efficient one. In 2027, the footprint rankings could change considerably from 2022. With biofuel substitution, the super-efficient gas grill would move ahead of pellets. Electricity and charcoal could improve but would still place fifth and sixth. The range of grill-specific footprints could fall to 4.5:1, and within a much-lower range. The highest footprint in 2027 is almost 60% lower than 2022′s highest.
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Xu, Chang Chun, Jing Huang, and Fu Chen. "The Application of Carbon Footprint in Agri-Food Supply Chain Management: Case Study on Milk Products." Advanced Materials Research 807-809 (September 2013): 1988–91. http://dx.doi.org/10.4028/www.scientific.net/amr.807-809.1988.

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In the process of supply chain management, the environmental impact is one important concern. Carbon footprint is a popular metric to quantify a products greenhouse gas (GHG) emissions, and assist supply chain management. In this paper, carbon footprints were calculated for three common milk products, 180 g Yogurt, 250 mL Fluid milk and 400g Skim milk powder (SMP) at the product brand level (YiYi®). The results demonstrated the well comprehensiveness and practicality of carbon footprint as streamlined indicator in supply chain management for agri-food products. The carbon footprints were compared among different life cycle stages as well as different products, and possible mitigation strategies were put forward for GHGs reductions. The relative contributions that different phases over the supply chain make were highlighted. On-farm emissions from cropping and livestock subsystems made up the majority of the carbon footprint, which deserved special attention in agri-food sector.
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Dissertations / Theses on the topic "Carbon footprint"

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Золотова, Світлана Григорівна, Светлана Григорьевна Золотова, Svitlana Hryhorivna Zolotova, and D. S. Volovik. "Solar Power in Reducing Carbon Footprint." Thesis, Видавництво СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/13461.

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Savelli, Elisa. "Carbon footprint, stato dell'arte ed applicazione pilota." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2009. http://amslaurea.unibo.it/552/.

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Lo strumento in esame è il carbon footprint che ha lo scopo primario di calcolare l’impronta rilasciata in atmosfera dalle emissioni di gas ad effetto serra. Il carbon footprint è stato descritto ed esaminato in ogni suo aspetto pratico, strutturale e funzionale evidenziandone sia pregi da tenere in considerazione sia limiti da colmare anche attraverso il ventaglio di strumenti di misurazione ambientale che si hanno a disposizione. Il carbon footprint non verrà descritto unicamente come strumento di contabilità ambientale ma anche come mezzo di sensibilizzazione del pubblico o dei cittadini ai temi ambientali. Questo lavoro comprende un’indagine online degli strumenti di misura e rendicontazione delle emissioni di CO2 che sono sotto il nome di carbon footprint o carbon calculator. Nell’ultima parte della tesi si è applicato ad un caso reale tutto quello che è stato appreso dalla letteratura. Il lavoro è consistito nell’applicare lo strumento del carbon footprint ad un’azienda italiana di servizi seguendo la metodologia di calcolo prevista dalla norma ISO 14064. Di essa sono state contabilizzate le emissioni di CO2 generate dalle attività quotidiane e straordinarie sulle quali l’azienda ha un controllo diretto o comunque una responsabilità indiretta.
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Hyland, John. "Reducing the carbon footprint of red meat." Thesis, Bangor University, 2015. https://research.bangor.ac.uk/portal/en/theses/reducing-the-carbon-footprint-of-red-meat(4420959a-9357-43d5-888b-580a73f76494).html.

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The contribution of ruminant agriculture towards climate change is significant and responsible for approximately 14.5% of anthropogenic global greenhouse gas emissions. The reduction of sectorial emissions is dependent on farmer decision-making at a multitude of scales, which comprise of the field scale, the farm, farmer typologies (farm scale with focus on farmers), and the community-scale. This conceptual framework provides the basis for the research carried out in this PhD. The first research chapter builds upon previous work carried out by Bangor University where farmers deemed the most practical mitigation measure they could adopt on their farming enterprises was the planting of leguminous crops. The research in this thesis demonstrated that grass-clover systems offered the same yield as grass swards receiving conventional amounts of nitrogen fertiliser. However, nitrous oxide emissions from the grass-clover sward were significantly lower. My second research chapter moves onto the farm scale and investigates the carbon footprint (CF) from 15 farming enterprises over two timescales. Considerable reductions in the CF of beef and lamb were demonstrated if efficiencies were increased to match those of the least-emitting producers. On-farm decisions are motivated by personal interests and goals. Hence, the third research chapter identifies distinct types of farmers based on perceptions of climate change. Four farmer types were identified which can aid the dissemination of climate change information and consequently increase the adoption of climate change measures. The final chapter evaluates social capital and collaboration amongst farmers at the community scale; such interactions can serve to facilitate mitigation and adaptation. Although overall collaboration was low, there was considerable latent social capital which can be used to further encourage collective action. The work carried out in this thesis can help reduce the livestock sector’s greenhouse gas emissions across numerous scales; thereby helping the industry meet its emission targets.
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MANCINI, MARIA SERENA. "New methodological insights into Ecological Footprint Accounting: flow vs stock distinction and carbon Footprint revision." Doctoral thesis, Università di Siena, 2017. http://hdl.handle.net/11365/1005536.

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Natural capital is the primary and fundamental pillar allowing humans to thrive on Earth and sustain the functioning of human society and economy. Several ecosystem services (i.e. of the kind of provisioning, regulating, supporting and cultural services) are the tangible benefit to humans and are generated by natural capital in the form of stocks and flows of resources. Fully understanding and evaluating these ecosystem services is thus crucial for tracking the consumption of natural resources and properly managing natural capital. This thesis presents an in-depth analysis of the Ecological Footprint methodology, which is one of the most popular environmental accounting tools able to evaluate ecosystem services from a biophysical perspective. Ecological Footprint is defined as the biologically productive surface required to provide a specific sub-set of ecosystem services humans demand. It is compared with the capacity of existing biologically productive surfaces to produce such ecosystem services (i.e. biocapacity). Despite its growing popularity, Ecological Footprint has been subject to critical views on its rationale, methodology, and policy usefulness. This thesis aims at addressing part of these criticisms, specifically those related to the method’s inability to track depletion of natural capital stocks as well as those concerning a specific component, the carbon Footprint. Since Ecological Footprint is currently a measure of the use of resources and services in their flow dimension, the thesis presents a preliminary analysis of the feasibility of implementing a measure of stock depletion within this methodology. As such, this thesis first provides a comprehensive description of Natural Capital as well as of resources’ stocks and flows and their multiple relationships. Then, Ecological Footprint is explored according to its methodological premises, rationale and unit of measure and conceptually investigated for implementing the distinnction of stock vs flow of resources in the accounting framework. This issue was found to be vast and more complicated than expected; as such the thesis concludes this part by setting up a research agenda with the needed future steps to guide research on this topic. Following this process of refinement and development, the thesis addresses the stock and flow distinction in one specific component of Ecological Footprint, the carbon Footprint. It represents the largest input on the overall result and a review process around its rationale, calculation steps and a key parameter (the Average Forest Carbon Sequestration, AFCS) is performed to increase transparency and accuracy of its accountings. As a consequence of this refinement process, a new AFCS value is provided according to accurate and reproducible dataset on forested surface and average biomass growth in forest. These results represent one of the major changes adopted in 2016 Edition of National Footprint Accounts, the main application of Ecological Footprint accounting at national and world level annually published by Global Footprint Network. As such, new results of carbon Footprint, as well as of total Ecological Footprint, have been tested at geographical level and compared at national level among countries. This analysis highlights the relevant implications of the consumer approach adopted by the Ecological Footprint to assign responsibility of CO2 emissions. Finally, thesis supports the policy relevance of the Ecological Footprint method and its carbon Footprint component in light of the Paris agreement, the treaty stipulated in December 2015 to combat climate change and limit temperature rise below 2°C by 2050. Despite acknowledged limitations and the need to keep improving the methodology of this relatively young accounting tool, Ecological Footprint could still represent a relevant monitoring tool to keep track of resources and help society flourishing within the limit of our planet.
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Hendey, Bröte Erik. "Duration-Weighted Carbon Footprint Metrics and Carbon Risk Factor for Credit Portfolios." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273641.

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Current standard carbon footprint metrics attribute responsibility for a firm’s green house gas (GHG) emitting activities equally between an entity’s equity and debt. This study introduces a set of novel duration-weighted metrics which take into consideration the length of financing provided. These measure show promise for reporting footprints of debt portfolios, but further study of methodological robustness should be performed before they can be adopted widely. The measures are also attractive from a risk perspective as they are linearly dependent on duration and therefore are sensitive to yields. A factor portfolio is constructed using the new carbon intensity measure, and corporate yields are studied in a linear factor model. Other factors included derive from Nelson-Siegel parameterizations of US Treasury rates and the USD swap spread curve. Following the Fama-MacBeth procedure, the carbon factor is found not to persist over the 10-year period.
Nuvarande standardmått f ̈or koldioxidsavtryck i en portfölj tilldelar ansvaret för ett företags emitterande aktiviteter av växthusgas lika mellan aktier och skulder, där finansieringens längd inte beaktas. Ett ny durationsviktat mått introduceras i denna studie och dess lämplighet som metrik för rapportering undersöks. Studien visar att detta mått har potential för rapportering i kreditportföljer, men ytterligare studier av hur robust metoden är bör utföras innan den tillämpas brett. Måttet har attraktiva egenskaper eftersom den är linjärt beroende på durationen och därmed känslig gentemot obligationsavkastningen. En faktorportfölj konstrueras med hjälp av det nya kolintensitetsmåttet, och i en linjär faktormodell studeras företagsobligationsavkastning. Andra faktorer som inkluderas i modellen härstammar från Nelson-Siegel-faktorisering av US Treasury och USD swap- spread kurvorna. CO2-faktorn utvärderas med hjälp av Fama-MacBeths tvärsnittsmetod, och det konstateras att faktorn inte visar signifikans under den 10-åriga studieperioden.
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Dereix, Florian. "Adaptation of emission factors for the Tunisian carbon footprint tool." Thesis, KTH, Energisystemanalys, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-131694.

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In Tunisia, the National Agency for the Environment is encouraging the creation of a carbon footprint method specifically adapted to the Tunisian context. In cooperation with the French National Agency for the Environment, the adaptation of the French carbon footprint method is realised and has to go along with an adaptation of the emission factors. In this framework, this master thesis aims at presenting the emission factors adaptation process led to adapt the accounting tool. First, a literature review enables to present the main notions useful to understand the precise definition of emission factor. Then, a preliminary study of the main carbon footprint tools is presented so as to identify the main characteristics of a carbon footprint method. A comparison is then done to present the differences which can occur between the previous methods. Finally, for each category of emission factor, the adaptation process is presented showing three different ways to adapt emission factors: a replacing of the data in the calculations, an adaptation based on local studies and a more difficult adaptation requiring to develop a new method.
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Brown, Rachael M. "Economic Optimization and Precision Agriculture: A Carbon Footprint Story." UKnowledge, 2013. http://uknowledge.uky.edu/agecon_etds/11.

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This thesis examines the economic and environmental impacts that precision agriculture technologies (PATs) can have on the carbon footprint of a grain farm. An analysis is offered using two manuscripts. The first examines the impacts of three PATs and compares the findings to a conventional farming method. It was found that all three PATs investigated showed a potential Pareto improvement over conventional farming. The second manuscript expanded the model used previously to in order to develop a process to construct a carbon efficient frontier (CEF). The model employed examined uniform and variable rate technologies. In addition to the CEF, a marginal abatement cost curve was constructed. Using these curves in a complementary fashion, more accurate information on the adaptive behavior of farmer technology adoption can be gleaned. the information gleaned for the two manuscripts can give both producers and policy makers the analytical tools needed to make more information decisions with regard to economic and environmental feasibility of PATs.
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Fazeli, Seyed Mohammad. "SMART CITY: A PROTOTYPE FOR CARBON FOOTPRINT MOBILE APP." Thesis, KTH, Industriella informations- och styrsystem, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-152820.

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Global warming has increased significantly over the past decades and at its center, there are human factors which have the greatest impacts on productions of carbon dioxide which is considered as a primary greenhouse gas in development of global warming. Greenhouse gas emissions and, in particular, carbon dioxide emissions are growing significantly to the extent that if no initiatives are taken, it can have dramatic consequences for our future generations and in general for human’s life on Earth, therefore we need means by which we can control and maintain the levels of greenhouse gas emissions and in particular carbon dioxide emissions. One of the efficient solutions that can significantly decrease the levels of carbon dioxide emissions is the construction and development of smart cities. In this context (smart city), individuals can play an important role in reducing the CO2 emissions. By considering the new opportunities that can result from development of Smart Cities and the essential role of information and communication technology (ICT) in such cities, this thesis work tries to introduce the idea of a self-tracking Carbon Footprint mobile application which enables users to keep track of their individual’s carbon dioxide emissions occurred as a result of their daily activities such as eating, transportation, shopping, energy consumption, and etc. in real time. Being able to measure the generated carbon footprint with respect to each of the user’s activities, users will be able to monitor and control it. This monitoring and controlling of one’s carbon footprint can have significant influences in reducing those human factors which result in production of more carbon dioxide gases and consequently more global warming effects.
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Andrews, Suzanne L. D. (Suzanne Lois Denise). "A classification of carbon footprint methods used by companies." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/51642.

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Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2009.
Includes bibliographical references (leaves 50-54).
The percent increase in greenhouse gas (GHG) concentration in the atmosphere can be harmful to the environment. There is no single preferred method for measuring GHG output. How can a company classify and choose an appropriate method? This thesis offers a classification of current methods used by companies to measure their GHG output.
by Suzanne L. D. Andrews.
M.Eng.in Logistics
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Olsson, Fredrika. "The Potential of Reducing Carbon Footprint Through Improved Sorting." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-415691.

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Almost five million tonnes of household waste was generated in Sweden in 2018, half of which was residual waste sent for incineration with energy recovery. For materials that can not be recycled or biologically treated, incineration with energy recovery is considered a preferred management option. The issue is that the fraction for residual waste contains considerable amounts of wrongly sorted materials, such as food waste and plastic packaging, which can be recycled or biologically treated, thus causing a smaller environmental impact. To quantify the composition and waste quantities of the wrongly sorted materials a waste composition analysis of the residual waste from four community bins in Västmanland county was conducted. The analysis revealed that about two-thirds of the waste was wrongly sorted and only one-third was actual residual waste. Life cycle analysis was subsequently used to calculate the carbon footprint of the wrongly sorted food waste and plastic packaging waste as well as the carbon footprint from optimal sorting and treatment of the materials. The investigation concluded that for food waste, anaerobic digestion caused a smaller climate impact than incineration with energy recovery and for plastic packaging, recycling generated a smaller climate impact than incineration with energy recovery. The size of the carbon footprint for the different management methods was in line with the priority order given in the waste hierarchy, stated in Swedish legislation.  However, the size of the potential climate savings partly depended on the choices made in the life cycle analysis where the most sensitive parameters were related to external production of heat, polymer resin and vehicle fuel. If the potential climate savings is extrapolated for VafabMiljö's entire collecting area, the total climate savings per year would be 8 263 tonnes of carbon dioxide equivalents per year for food waste and 2 070 tonnes of carbon dioxide equivalents per year for plastic packaging waste. This would be equivalent to driving 1 250 laps around the Earth with a car every year or flying 14 900 times Sweden–Thailand back and forth every year.
Nästan fem miljoner ton hushållsavfall genererades i Sverige under 2018, varav ungefär hälften skickades till energiåtervinning. För avfall som inte kan materialåtervinnas eller behandlas biologiskt anses energiåtervinning vara den bästa metoden för avfallshantering. Problemet är att stora mängder återvinningsbart material såsom matavfall och plastförpackningar felaktigt hamnar i restavfallet när det istället hade kunnat återvinnas och på så sätt medfört en mindre miljöpåverkan. För att kvantifiera samansättning och avfallsmängder av det felaktigt sorterade materialet, gjordes en plockanalys på restavfallet från fyra miljöbodar i Västmanland. Analysen visade att ungefär två tredjedelar av materialet var felaktigt sorterat och endast en tredjedel utgjordes av övrigt restavfall. Livscykelanalys användes därefter för att beräkna klimatavtrycket för det felaktigt sorterade matavfallet och för plastförpackningarna som återfanns i restavfallet såväl som klimatavtrycket för optimal sortering och hantering av materialen. Ordningen i avfallshierarkin visade sig stämma väl överens med klimatavtrycket från de olika behandlingsmetoderna i det undersökta området. För matavfall innebar rötning en lägre klimatpåverkan än energiåtervinning och för plastförpackningar medförde materialåtervinning en lägre klimatpåverkan än energiåtervinning. Storleken på besparingarna av växthusgaser berodde dock till viss del på val av inparametrar och de faktorer som främst påverkade var alternativ produktion av värme, plastråvara och drivmedel. Om resultaten extrapoleras över hela VafabMiljös upphämtningsområde så skulle de totala klimatbesparingarna för matavfall vara 8 263 ton koldioxidekvivalenter per år och för plastförpackningar 2 070 ton koldioxidekvivalenter per år. Dessa besparingar är jämförbara med bilkörning motsvarande 1 250 varv runt jorden varje år eller 14 900 tur- och returresor med flyg Sverige–Thailand varje år.
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Books on the topic "Carbon footprint"

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Your carbon footprint: Reducing your carbon footprint at school. New York, NY: The Rosen Pub. Group, 2008.

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Muthu, Subramanian Senthilkannan, ed. Carbon Footprint Case Studies. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9577-6.

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Rooney, Anne. Reducing the carbon footprint. Mankato, MN: Smart Apple Media, 2010.

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Billitteri, Thomas J. Reducing Your Carbon Footprint. 2455 Teller Road, Thousand Oaks California 91320 United States: CQ Press, 2008. http://dx.doi.org/10.4135/cqresrre20081205.

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Arcos-Vargas, Ángel, and Laureleen Riviere. Grid Parity and Carbon Footprint. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-06064-0.

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Zubelzu, Sergio, and Roberto Álvarez Fernández. Carbon Footprint and Urban Planning. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31050-3.

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Muthu, Subramanian Senthilkannan, ed. LCA Based Carbon Footprint Assessment. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4373-3.

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David, Sarah B. Reducing your carbon footprint at home. New York: Rosen Central, 2009.

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Reducing your carbon footprint at home. New York, NY: Rosen Pub., 2008.

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Nagle, Jeanne M. Reducing your carbon footprint at school. New York: Rosen Central, 2009.

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Book chapters on the topic "Carbon footprint"

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Harkiolakis, Nicholas. "Carbon Footprint." In Encyclopedia of Corporate Social Responsibility, 309–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-28036-8_38.

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Harris, Mark. "Carbon Footprint." In The Science of Global Warming Remediation, 72–78. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003341826-8.

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Uusitalo, Ville, Kaisa Grönman, Heli Kasurinen, Sanni Väisänen, and Risto Soukka. "Carbon Footprint." In Encyclopedia of Sustainable Management, 467–73. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-25984-5_1054.

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Uusitalo, Ville, Kaisa Grönman, Heli Kasurinen, Sanni Väisänen, and Risto Soukka. "Carbon Footprint." In Encyclopedia of Sustainable Management, 1–7. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-02006-4_1054-1.

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Zubelzu, Sergio, and Roberto Álvarez Fernández. "Carbon Footprint Calculation." In Carbon Footprint and Urban Planning, 21–24. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31050-3_3.

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Zhou, Shelley W. W. "Carbon Footprint Measurement." In Carbon Management for a Sustainable Environment, 25–67. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35062-8_2.

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Oseguera, Lindsey, Matthew J. Etchells, and Jennifer G. Whitfield. "Carbon Footprint Reduction." In A Companion to Interdisciplinary STEM Project-Based Learning, 139–43. Rotterdam: SensePublishers, 2016. http://dx.doi.org/10.1007/978-94-6300-485-5_16.

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Ezroj, Aaron. "Carbon footprint calculations." In Carbon Risk and Green Finance, 28–33. Abingdon, Oxon ; New York, NY : Routledge, 2021. | Series: Banking, money and international finance: Routledge, 2020. http://dx.doi.org/10.4324/9781003095996-3.

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García-Sánchez, Isabel-María, and Jennifer Martínez-Ferrero. "Carbon Footprint II." In Encyclopedia of Sustainable Management, 473–78. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-25984-5_626.

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García-Sánchez, Isabel-María, and Jennifer Martínez-Ferrero. "Carbon Footprint II." In Encyclopedia of Sustainable Management, 1–6. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-02006-4_626-1.

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Conference papers on the topic "Carbon footprint"

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Niewenhuis, Dante, Sacheendra Talluri, Alexandru Iosup, and Tiziano De Matteis. "FootPrinter: Quantifying Data Center Carbon Footprint." In ICPE '24: 15th ACM/SPEC International Conference on Performance Engineering. New York, NY, USA: ACM, 2024. http://dx.doi.org/10.1145/3629527.3651419.

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Kacmar, Donna. "Carbon Footprint Analysis." In 5th Annual International Conference on Architecture and Civil Engineering (ACE 2017). Global Science & Technology Forum (GSTF), 2017. http://dx.doi.org/10.5176/2301-394x_ace17.7.

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Danilina, Nina, Nataliya Safronova, and Valentin Tkachev. "Russian cities carbon footprint evaluation." In PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON FRONTIER OF DIGITAL TECHNOLOGY TOWARDS A SUSTAINABLE SOCIETY. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0124842.

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Sloma, Marcin. "Carbon footprint of electronic devices." In Electron Technology Conference 2013, edited by Pawel Szczepanski, Ryszard Kisiel, and Ryszard S. Romaniuk. SPIE, 2013. http://dx.doi.org/10.1117/12.2030271.

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Kadry, Heba Ahmed. "Carbon Footprint Management Using Blockchain." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/210930-ms.

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Abstract There is a broad consensus that greenhouse gas emissions management requires coordinated efforts and collaboration in all sectors and at all levels of an organization or within the value chain. However, potential conflicts of interest and lack of trust between stakeholders make this collaboration extremely challenging. Blockchain has opened the door for a series of innovative applications that can propose an efficient carbon footprint traceability and management solution. Blockchain is a distributed secure database, called a ledger, among different parties, used to hold and verify tamper-proof records or transactions without the need to trust any participant of this process except the mechanism. In the race to net zero, the need for an advanced information and communication technology has become vital to global climate change management with increased digitalization, decarbonization, security, and decentralization challenges. Blockchain is proposed as an integrated platform for various applications, such as carbon traceability, carbon trading, certification, and value chain management. This work presents an overview of blockchain technology and its working principles. It describes blockchain's novelty and innovation to the industry and climate action. Also, the paper investigates blockchain's potential for carbon footprint traceability and management. It explores the latest use cases and the current challenges. It concludes that enabling innovation for climate action requires digging further into evolving disruptive technologies such as blockchain.
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Liu, Qiong, Youquan Tian, Chao Wang, Freddy O. Chekem, and John W. Sutherland. "Flexible Job-Shop Scheduling for Reduced Manufacturing Carbon Footprint." In ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/msec2017-2630.

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In order to help manufacturing companies quantify and reduce product carbon footprints in a mixed model manufacturing system, a product carbon footprint oriented multi-objective flexible job-shop scheduling optimization model is proposed. The production portion of the product carbon footprint, based on the mapping relations between products and the carbon emissions within the manufacturing system, is proposed to calculate the product carbon footprint in the mixed model manufacturing system. Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) is adopted to solve the proposed model. In order to help decision makers to choose the most suitable solution from the Pareto set as its execution solution, a method based on grades of product carbon footprints is proposed. Finally, the efficacy of the proposed model and algorithm are examined via a case study.
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Mahapatro, Mrinal, and Christian Bauer. "Reducing the Carbon Footprint of a Paper Machine Main Lubrication System." In Carbon Management Technology Conference. Carbon Management Technology Conference, 2012. http://dx.doi.org/10.7122/151447-ms.

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Pisleaga, Mihaela. "WATER FOOTPRINT, CARBON FOOTPRINT, ENERGY FOOTPRINT GENERAL ASPECTS AND THEIR INFLUENCE ON SOCIETY." In 15th International Multidisciplinary Scientific GeoConference SGEM2015. Stef92 Technology, 2011. http://dx.doi.org/10.5593/sgem2015/b51/s20.138.

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Sharp, Chris, Yakov Gordon, Sining Liu, Paul Towsey, and Ian Cameron. "Impact of Cokemaking Technology on a Steel Plant's Carbon Footprint." In Carbon Management Technology Conference. Carbon Management Technology Conference, 2012. http://dx.doi.org/10.7122/151342-ms.

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Yi Sin, Wu, Chen Chun Yen, and Chang Teng Wen. "Carbon Footprint Interaction Through Slow Design Computing and Visual Design." In AHFE 2023 Hawaii Edition. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004263.

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Our motivation is to apply the principles of Slow Design to the research on calculating carbon footprints, specifically by creating more “conscious” and “visible” interactive ways to inspire users to actively engage in the formation of their carbon footprint and gain more positive experiences from it. With the United Nations promoting the Sustainable Development Goals (SDGs), there is an increasing number of carbon footprint calculation applications available. However, users need to accumulate long-term usage to provide estimates of their impact on both personal and environmental aspects and further receive recommendations for sustainable living. In the book "User Friendly," Kuang and Fabricant (2020) reveal that climate change can be a feedback problem. They state, "We don't know how much carbon we emit daily, and the target timelines are set too far in the future, making the effects invisible. Imagine if the effects of carbon emissions were exactly the same as they are now, but the accumulation of carbon turned blue into green. In such a world, it's hard to believe that anyone would still talk about whether human activities have any impact on the climate...." Therefore, we hope to leverage Slow Design to foster an emotional connection to this interactive behavior, enhance the cognitive model of actions, and bring about sustainable benefits. To achieve the application of Slow Design principles in the research on calculating carbon footprints, we employ creative ideation and design research methods, including (1) studying relevant literature and cases, (2) interacting with potential users and conducting interviews, (3) creating and testing low-fidelity prototypes, and discussing recommendations and strategies for carbon footprint calculation. These research findings can serve as references for future studies on Sustainable Development Goals.■ Slow Design and Carbon FootprintWe apply the principles of Slow Design to the research on calculating carbon footprints. Slow Design is a design philosophy inspired by the Slow Living movement in 1986, advocating for slowing down the pace of life and countering the fast-paced lifestyle and culture of mass consumption. It contrasts with the culture of fast consumption and immediate gratification, emphasizing sustainability and respecting human needs and the environment. Slow Design focuses on quality, details, and experiences to provide more meaningful and sustainable design solutions. On the other hand, Slow Design Computing is a concept that combines the principles of Slow Design with computer science. It adopts the values and principles of Slow Design and applies them to the field of computer science and digital technology.■ Calculation and Case EvaluationThe carbon footprint calculation method is a way to assess the greenhouse gas emissions produced by an individual, household, organization, or product. These emissions are typically expressed in terms of carbon dioxide equivalent (CO2e). The methods for calculating carbon footprints can vary depending on the subject of calculation and the data used. Relevant literature (Batmunkh, 2022) and accounting software and platforms available on the market, such as MOZE 3.0 (2021), can be utilized for this purpose.■ References[1]C. Kuang and R. Fabricant, User Friendly: How the Hidden Rules of Design Are Changing the Way We Live, Work, and Play. USA: Picador, 2020.[2]L. MOZE Co., "MOZE 3.0," ed. Taiwan, 2021.[3]A. Batmunkh, "Carbon Footprint of The Most Popular Social Media Platforms," Sustainability, vol. 14, no. 4, p. 2195, 2022, doi: 10.3390/su14042195.
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Reports on the topic "Carbon footprint"

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Bolstad, Rachel. Schools' carbon footprint pilot: Final report. NZCER, 2021. http://dx.doi.org/10.18296/rep.0018.

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Kramer, Klaas Jan, Greg Homan, Rich Brown, Ernst Worrell, and Eric Masanet. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS. Office of Scientific and Technical Information (OSTI), April 2009. http://dx.doi.org/10.2172/971193.

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Vellinga, T. V., I. Huisman, and P. Mostert. Inventarisatie activiteiten carbon footprint in de varkenssector. Wageningen: Wageningen Livestock Research, 2023. http://dx.doi.org/10.18174/590980.

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Díaz, Lina M., Déborah Martínez Villarreal, Carlos Scartascini, and Colombe Ladreit. Lowering Businesses' Carbon Footprint: Adoption of Eco-efficiency Indicators in Colombia and Peru. Inter-American Development Bank, April 2024. http://dx.doi.org/10.18235/0012905.

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This document provides a guide for conducting behaviorally informed interventions to reduce businesses' carbon footprint. It draws insights from a pilot study within Colombia's textile industry and Peru's plastic industry. The study addresses the critical need for businesses to adapt to the challenges posed by climate change and transition risks, such as the European Union's Carbon Border Adjustment Mechanism (CBAM), which requires significant adaptations from companies in Latin America and the Caribbean to stay competitive. A key component of this study was developing and testing the "Green Tool," designed to assist companies in adopting eco-efficiency indicators (EEIs), which can be used as an input to measuring and lowering companies carbon footprint. Central to the intervention's success was a preliminary diagnosis stage that pinpointed specific behavioral barriers hindering the reduction of carbon footprints, including present bias and prevailing social norms. By combining a behaviorally informed communications strategy with mentorship, the intervention enhanced the adoption of EEIs among the businesses in the treatment group compared to those in the control group. This pilot study highlights the essential role of targeted interventions, mentorship, and the strategic application of behavioral tools in encouraging sustainable practices within the business sector. Furthermore, this guide demonstrates the effectiveness of behavioral interventions in supporting businesses to transition towards lower carbon footprints, showcasing a path forward in the global effort to combat climate change.
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Durán Ortiz, Mario R., and Fernanda Magalhães. Low Carbon Cities: Curitiba and Brasilia. Inter-American Development Bank, October 2009. http://dx.doi.org/10.18235/0006890.

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This paper addresses the following general questions: What kind of consumption patterns (e.g., land, carbon footprint, traveling) are generated by the more compact and traditional structure of Curitiba vis-à-vis the modernist urban sprawl of Brasilia?; What kind of urban and transport policies and actions can help these cities to become less resource and carbon intensive?; and, what can city or metropolitan governments do to help cities achieve these goals? The paper will show how the carbon footprints of Curitiba and Brasilia - in regard to land use distribution and transportation - are reflected in their motorized and fuel consumption rates and will suggest what can be done in policy terms to improve the cities' performances in terms of carbon and resource efficiency. The central premise is that the shape of a city affects its energy patterns, and that there is a relationship between its urban form, block structure, size, density, and land use with its travel behavior, split transportation modes, and carbon footprint. This paper was presented at the 45th ISOCARP International Congress held in Porto, Portugal on October 18th-22nd, 2009.
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Steven Markovich. Production and Optimization of Direct Coal Liquefaction derived Low Carbon-Footprint Transportation Fuels. Office of Scientific and Technical Information (OSTI), June 2010. http://dx.doi.org/10.2172/1007994.

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Thomas, Hacardiaux, Defryn Christof, Tancrez Jean-Sébastien, and Verdonck Lotte. Balancing partner preferences for logistics costs and carbon footprint in a horizontal cooperation. Maastricht University, Graduate School of Business and Economics, 2020. http://dx.doi.org/10.26481/umagsb.20002.

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de Vries, Marion, and Ronald Twongyirwe. Technical performance and carbon footprint of commercial dairy farms in South West Uganda. Wageningen: Wageningen Livestock Research, 2022. http://dx.doi.org/10.18174/568943.

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Hendricks, Sara. Developing a Framework for a Toolkit for Carbon Footprint that Integrates Transit (C-FIT). Tampa, FL: University of South Florida, November 2010. http://dx.doi.org/10.5038/cutr-nctr-rr-2009-05.

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Bondt, N., T. Ponsioen, L. Puister-Jansen, T. Vellinga, D. Urdu, and R. M. Robbemond. Carbon footprint pig production : DATA-FAIR report on exchange of sustainability information in the pork supply chain. Wageningen: Wageningen Economic Research, 2020. http://dx.doi.org/10.18174/514323.

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