Eating the Planet

Tracking the Environmental Footprint of multinational corporations across time and space

More and more people recognize the link between their everyday consumption and the progressing climate crisis. In this context, many are also questioning the environmental impact of their diets: the ratio of plant-based diets has visibly increased during the Covid-19 pandemic (Wood 2021). Consumers question which route their food has taken and which (production) steps preceded the product in the supermarket and will follow consumption. For many people, meat, and in particular beef, plays an important role in their diet and will therefore be examined closely below as an illustrative example. By using the imagery of "happy cows in green pastures" companies are trying to distract attention from the potentially long journey of meat from the farm to our plates. The Corona crisis encouraged many people to question their food consumption behavior and the aforementioned "journey" of their food: as many as 20 percent say they are intensifying their consumption of regional foods (BMEL 2021).

That is why our consumer, as they are standing in front of the meat section in the supermarket, starts to ponder:

Customer: What the company presents to me looks too good to be true. I can hardly imagine that the cows are actually kept in such a nature-like way on green meadows as shown in the advertisements. What is hidden from me as a customer? Surely industrial meat production on this scale must have an effect on the environment?

The Footprint Approach

In a world of global capitalism, the places of production and consumption are often geographically separated, yet linked by complex connections. There has been an "unprecedented increase in material  flows entering international trade in recent decades, having multiple impacts on ecosystems" (Godar et al. 2015: 25). These interlaced networks of corporations and material flows make it increasingly difficult for consumers and policy makers to track the environmental impact of goods along the way.

Moreover "by their nature, the socio-environmental impacts of production are spatially heterogeneous [between and] within countries, depending on the characteristics of local social-ecological and production systems" (Godar et al. 2015: 26)

The Footprint concept, which was introduced in the early 1990s, provides indicators "trying to systematically quantify one or more dimensions of human impacts on sustainability" (Harangozó et al. 2015: 46). These quantitative metrics are intended to show human demand of or impact (via emissions) on the ecosystem - usually - in terms of real or symbolic land area units (ibid.). 

The video from Moovly (on the right) illustrates this using the ecological footprint as an example. It is for illustrative purposes only and does not necessarily correspond with the further explanations in every aspect.

Common members of the so called "footprint family" (see figure 1) are the Carbon Footprint (CF), the Ecological Footprint (EF) and the Water Footprint (WF) (Vanham et al. 2019).

While each of those focus on specific dimensions of the environmental impact, the Environmental Footprint (EnvF) subsumes them under itself to undertake a multi-criteria analysis (Harangozó et al. 2015). Frequently, the EF and the EnvF are used synonymously, although they differ significantly in terms of the aspects considered (ibid.).

Vanham et al. present the relations of common footprint indicators and their link to the nine planetary boundaries (see Figure 1 in the centre) that limit the safe operating space for human influences on the Earth system.

Figure 1 (on the right): Footprint Family and their link to the planetary boundaries (modified from Vanham et al. 2019: 4)

Methodology

The Footprint Family provides the conceptual framework for representing environmental impacts. To provide this with appropriate data, some methodological considerations need to be taken into account. These will be presented below.

Methods of data collection: The life cycle approach (LCA), which works as a guidance for data collection (see Figure 2), offers the opportunity to track the footprint through the various stages of the supply chain by collecting data of the environmental impacts from raw material extraction through transportation, production, use, and disposal (Harangozó et al. 2015).

Figure 2: Exemplary supply chain (simplified) over the life cycle (modified from Goldstein, Newell 2020: 3)

This approach takes into account a temporal component (an "element of time") in addition to the spatial dimension of the production and consumption process, thus providing a more realistic view of the environmental impact. Moreover, it offers the opportunity to compare a company's performance over time or with other similar companies (another temporal aspect) (ibid.). Each node in the supply chain resembles a corporate actor involved in the life cycle of a product (Goldstein, Newell 2020). The LCA provides a much broader perspective than traditional Global Commodity Chain or Global Value Chain research (ibid.). Nonetheless, it mainly focuses on direct impacts, whereas input-output analysis (top-down) also considers indirect impacts (see below) "by using certain standard emission factors of input-output matrix based methodologies" (Harangozó et al. 2015: 68).

Scope and system boundaries: Another important aspect is the question of scope and system boundaries of the organization. This has an influence on which effects are included in the analysis, whereby both direct (scope 1) and indirect (scope 2 and 3) effects should be taken into account (see Figure 3) (Harangozó et al. 2015). "However, assessment of the indirect impacts is also the most challenging aspect of footprint calculations concerning methodology and data requirements" (ibid.: 52). A hybrid method of data collection that also uses (ecologically extended) input-output analysis (EEIOA) can help to capture the indirect influences (especially within long supply chains) as well, for example via monetary flows (Mózner 2015). "Indirect impacts are emerging upstream or downstream along the supply chains linked to organizational activities, but falling outside of the organizational boundaries." (Harangozó et al. 2015: 63).

Figure 3: Different scopes of environmental accounting along the supply chain (modified from Schaltegger et al. 2015: 10)

Research shows the great importance of scope 3 impacts, some of which can account for over 70% of a company's environmental impacts, but are much less often considered as they are usually embodied in other components (Mózner 2015).

The calculator below offers the possibility to calculate the day-to-day footprint and demonstrates some aspects of the concept in a practical way.

Challenges and Advantages

Some advantages and disadvantages of the concept are briefly described below.

Difficulty of data collection

  • Obtaining a suitable and substantial data basis (Schaltegger et al. 2015)
  • Current research mostly focused on individual companies, not their supply chain linkages (Goldstein et al. 2020)
  • Lack of transparency and high complexity of supply chains (Goldstein et al. 2020)
  • Companies may sanitize data to remove problematic factors (Goldstein et al. 2020)

Hence, Goldstein and Newell introduced a methodological framework that aims to uncover linkages, hotspots of environmental degradation, and key nodes of governance which does not necessarily rely on corporate data (ibid.): Tracking Corporations Across Space and Time (TRACAST). Data will be obtained through a hybrid approach combining in-situ (primary data, e.g. interviews, site visits) and ex-situ (secondary data, e.g. remote-sensing data, maps) methods based on the aforementioned LCA and (EE)IOA (ibid.).

Figure 4: Building blocks of the TRACAST approach (modified from Goldstein et al. 2020: 3)

TRACAST is the first approach that attempts to capture the environmental performance of multinational companies as holistically as possible. It combines concepts from supply chain research with the LCA approach and NGO activities and various methods of data collection (see Figure 4). Nevertheless, data collection is also associated with great difficulties (intransparency, data aviability, etc.).

Quality of Data

  • Consistent data needed to make comparisons within the industry and over time (Schaltegger et al. 2015)
  • Lack of comprehensive standardization of the footprint approach leads to different calculation methods and data bases (Harangozó et al. 2015; Vanham et al. 2019)

Complementing existing research

  • Current methods of corporate climate accounting are insufficiently spatially sensitive (Godar et al. 2015)
  • Footprint Family: "A particular strength in their use is that they quantify pressure along the whole supply chain, up to the consumer level (potentially including the end of life level)" (Vanham et al. 2019: 8)

Comprehensibility of the indicator

  • Trade-off between applicability, understandability, and amount of information that can be conveyed through indicators (Harangozó et al. 2015)
  • "appeal of the footprint indicators is based on their inherently expressive nature, which makes communication easier, although the amount of information communicated may be limited in some cases" (Harangozó et al. 2015: 52)

Environmental Giants

Customer: Given all these tracking problems of the products, how can I estimate the environmental impact of the meat industry? Which are the most important corporations? How are they structured? What is their record regarding environmental damage?

Looking at some major meat producers

The three most notable corporations in the meat industry are Cargill Meat Solutions Corp., Tyson Foods Inc., and the Brazilian corporation JBS S. A. While Cargill Meat Solutions Corp. is amongst the largest privately owned businesses in the world (Forbes 2020), the latter two are listed on the stock market of their respective countries. They are providing a combined estimate of around 400,000 employees between the three of them as well as being responsible for as more greenhouse emissions than oil-giant BP (Heinrich Böll Foundation 2017). Map 1 shows the greenhouse emissions of these corporations in the US reported to the US Environmental Protection Agency in 2019.

Map 1: Carbon Footprint - Greenhouse Gas Emissions USA of Cargill (green), JBS USA (red) , and Tyson Foods Inc. (blue) in 2019 (Own compilation; source of data: EPA 2020)

The heatmap above (Map 1) shows the intensity of GHG emissions: the warmer the shade, the more emissions have been recorded in this area. This may be due to a high density of production sites on the one hand, or to a high intensity of emissions from fewer sites on the other hand.

To truly recognize the environmental footprint of these companies, at least the pollution data of all the steps listed in Figure 5 (on the right) would have to be public. However, those corporations are not known to be very forthcoming in identifying their supplier network. Given this lack of transparency, a complete TRACAST approach is difficult to perform. Therefore, the following Map 2 provides examples of the mentioned corporations being involved in serious environmental damages. Most of these came to light due to investigative researchers performed by Non-Governmental Organisations or journalists using in-situ or ex-situ methods. 

Map 2: Cases of hazardous environmental incidents related to the analyzed meat producers [Red = JBS S. A. | Green = Cargill | Blue = Tyson Foods] (Own compilation combining investigative research)

JBS S. A.

Figure 6: JBS S. A. Ownership, Brands and Governmental Connections (Own compilation using sources in bullet points)

  • Headquarters: São Paolo, São Paolo - Brasil
  • 70 brands in 190 countries (JBS 2020) lead to difficulties in accurately following the supply chains
  • > 81,000 suppliers only in JBS USA Holdings Inc.
  • Interrelated with the Brazil administration
  • Global Code of Ethics & Anti-corruption Policy
  • Nonetheless: corruption scandal (Brito, Bautzer 2017) and involvement in deforestation of Amazon Rain Forest (Campos et al. 2020; Mighty Earth 2020)
  • Figure 6 visualizes the company structure and its relations to the Brazil government

Given constantly reappearing reports of JBS' involvement in the deforestation of the Amazon Rain Forest, its close relation to the government over the last centuries is rather suspicious. Whether or not JBS had a role in controlling policy developments remains ambiguous, but it is obvious that JBS had the means to make their worries and goals very prominent in the ears of the actual policy makers.

Cargill Meat Solutions Corp.

  • Subsidiary of Cargill (produces palm oil, cocoa and other nutritional products)
  • Headquarters: Minnetonka, Minnesota - USA
  • Delivers to supermarkets including Edeka, Aldi, Carrefour and fast food chain restaurants
  • Privately owned, thus even less transparent; supply chains are unknown
  • Prominent history of being involved in environmental exploitation

The vast number of partly drastic criminal activities (see Map 2) and the habit of failing to live up to its own promises (Collingsworth 2018; zu Ermgassen et al. 2018) led the NGO Mighty Earth to name Cargill the worst privately owned company in the world (Mighty Earth 2019) - indicating that Cargill's self-imposed Green Book so far proved to be rather insufficient.

Tyson Foods Inc.

Figure 7: Tyson Foods. Inc. Ownership and Brands (Own compilation visualizing information via Marketscreener (2021) and source in bullet points)

  • Headquarters: Springdale, Arkansas - US
  • Difficulties to follow supply chains and determine the number of suppliers
  • Many brands included in Tyson Foods Inc. (Tyson Foods Inc. 2021), with Figure 7 only showing a sample of them
  • Measures to effectively reduce participation in deforestation and to commit to sustainability - so far not known to be acting against these commitments

Intransparent and Socio-Environmentally dangerous

The intransparency of multinational corporations regarding their supply chains complicates understanding the actual environmental footprint of such corporations. Thereby, the companies help to make the TRACAST approach more difficult. For instance, uncovering the mentioned examples of environmental crimes required extensive journalistic research. Thus, it is unlikely that all environmentally harmful activities of these corporations have yet been identified.

Adding to that, their continuous growth is helping them to outsource responsibilities for misbehavior along their GVCs. It is easy to point to suppliers and refer to existing guidelines. The increasing number of suppliers is not only leading to surveillance inefficiencies but is also likely to pose a threat to the livelihood of local, sustainable farmers all around the globe. In this context, the costs of environmental degradation are highly unevenly distributed along the supply chain due to power structures.

For our customer, it becomes evident that as soon as big corporations are involved in the production process, tracking the product becomes almost impossible. Thus, if they want to be certain that the companies behind the product are not committing serious environmental crimes, they ought to turn to local producers where they could observe the production process if they wanted to.


Observing from Space

Remote sensing data can also be used as an addition (ex-situ approach). This enables various dimensions of the environmental impact of companies to be observed and compared over a longer period of time. While this particular example can't be directly sourced to one of the companies mentioned in the preceding chapters, it nevertheless does show the viability of remote sensing data in detecting the environmental impact of beef (or other harmful) production in vulnerable ecosystems like the brazilian rainforest. Thus it serves as a uselful example, proving the effectiveness of the method.

The destruction of formerly intact rainforest can best be tracked by comparing the satellite imagery of 2013-2018 (see Figure 8), where an increasing intensity and speed of the clearing can be seen.

Figure 8: Clearing in São Félix do Xingu between 2013-2018; Location: 5°49'54.5"S 53°48'45.2"W (NASA Earth Observatory 2020)

The area shown here lies within the protected area of Triunfo do Xingu, near the city of São Félix do Xingu in the State of Pará and experiences one of the highest rates of foliage loss within Pará. Aditionally, São Félix is also the municipality with the second-most cattle in Brazil (Instituto Brasileiro de Geografia e Estatística 2016).

Customer: And what about certifications and regulations? How can these help to increase the transparency of supply chains or to track and mitigate the environmental impact of companies?

Regulations and Certifications of Beef

Certifications and regulations are a way to help consumers choose the right product for their needs. However, due to the constantly increasing number, the informative value of the certifications is decreasing. Accordingly, each company and association may develop its own certification - only a few of them are defined by law. Therefore, consumers have to do their own research to find out which certification uses what kind of standards (vzbv 2017).

Any certification thus only serves to support the credibility of legal regulations, standards, and industry guidelines. The companies’ main goal of using certifications is often to attract customers and to justify a higher price (Theuvsen et al. 2007).

Figure 9: Comparison of Husbandry form 1 and 4 (Own compilation based on: Haltungsform 2021)

An example of an uninformative and deceptive certification in Germany is the "Haltungsform" (EN: Husbandry form). The certification is organized by the supermarkets with the most market power in Germany. The criteria are space, husbandry, feeding, and addition of antibiotics as well as dehorning of calves. However, a closer look at the individual husbandry forms 1 - 4 reveals that only the last form "Premium" is to be understood as completely animal and environmentally friendly. The adjacent table (see Figure 9) gives a rough overview of the differences between the husbandry form 1 and 4 (Haltungsform 2021).

Certifications of approval and regulations can be used as a tool, but one should not rely completely on them and do own research about the desired requirements. In addition, certifications do not give any information about how sustainable the company otherwise works or how big the ecological footprint is (see also LCA method) and local standards and certifications are often only valid for a certain geographical area (Theuvsen et al. 2007).

As Ponte (2019) says it is not possible to "buy our way into a sustainable future". Therefore, certifications are a possibility to pay attention to the production process of beef but cannot replace a more conscious consumption with fewer animal products.

Conclusion

There are several challenges involved with tracking products from multinational companies. While general data at the regional, national or global level is usually relatively easy to access, there is a lack of systematic collection and publication of this data at the corporate level. There is also a lack of sufficient supply chain transparency and the access to according data is limited or impossible for researchers, policy makers and customers. The TRACAST method (Goldstein, Newell 2020) presents an approach to fill this gap, although it involves extensive and time-consuming data collection. In the future, it would be desirable if corporate data on environmental impact were collected in a standardized way, systematized, and published openly.

Customer: Considering what I just learned, I decide to pay better attention to certifications and to buy and consume higher-quality beef from now on. On the other hand, I will probably have to reduce my animal consumption in general in order to lower my own environmental footprint and thereby hopefully also have an impact on the exploitative meat and beef producers.

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Imprint: This storymap was created as part of the master's seminar "World of/in chains: Labor, Nature and Uneven Development in the Globalized Ecnonomy" of the Chair of Economic Geography (Prof. Dr. Stefan Ouma, Saumya Premchander) at the University of Bayreuth.

Authors: Jessica Gaudeck, Luis Koch, David Mayer, Mara Neidlinger, Jennifer Pflügler

Bibliography

Literature

Brito, R., Bautzer, T. (2017): Brazil's J&F agrees to pay record $3.2 billion fine in leniency deal. Reuters. https://www.reuters.com/article/us-brazil-corruption-jbs-idUSKBN18R1HE. Retrieved on 27.07.2021.

Bundesverband der Verbraucherzentralen und Verbraucherverbände - Verbraucherzentrale Bundesverband e.V. (vzbv) (2017) https://www.lebensmittelklarheit.de/forum/rechtliche-grundlagen-bei-guetesiegeln. Retrieved on 27.07.2021.

Bundesministerium für Ernährung und Landwirtschaft, BMEL (Ed., 2021): Öko-Barometer 2021. URL: https://de.statista.com/statistik/daten/studie/1197948/umfrage/veraenderung-des-lebensmittelkonsums-nach-bereichen-seit-der-corona-krise/#professional. Retrieved on 28.07.2021.

Campos, A., Wasley, A., Heal, A., Phillips, D., Locatelli, P. (2020): Revealed: new evidence links Brazil meat giant JBS to Amazonian deforestation. The Guardian. https://www.dhushara.com/Biocrisis/20/7/brazil%20deforest.pdf. Retrieved on 27.07.2021.

Collingsworth, T. (2018): Court of Appelas finds Nestlé and Cargill liable under Alien Tort Statute for Child Slavery in Cote D'Ivoire. International Rights Advocates. http://www.iradvocates.org/press-release/nestle/court-appeals-finds-nestle-and-cargill-can-be-liable-under-alien-tort-statute. Retrieved on 08.08.2021.

Forbes (2020): America's largest private companies. https://www.forbes.com/companies/cargill/?list=largest-private-companies&sh=55618e831960, Retrieved on 22.07.2021.

Godar, J., Persson, M., Tizado, E.J., Meyfroidt., P. (2015): Towards more accurate and policy relevant footprint analyses: Tracing fine-scale socio-environmental impacts of production to consumption. Ecological Economics 112. p.25-35.

Goldstein, B., Newell, J. (2020): How to track corporations across space and time. Ecological Economics 169. DOI: https://doi.org/10.1016/j.ecolecon.2019.106492 .

Haltungsform (2021): Kriterien und Mindestanforderungen für Tierwohlprogramme. https://www.haltungsform.de/kriterien-und-mindestanforderungen/. Retrieved on 20.07.2021.

Harangozó, G., Széchy, A., Zilahy, G. (2015): Corporate Sustainability Footprints. A Review of Current Practices. In: Schaltegger, S., Zvezdov, D., Etxeberria, I.A., Csutora, M., Günther, E. (Eds.): Corporate Carbon and Climate Accounting. Springer International.  p.45-73.

Heinrich Böll Foundation (2017): Fact sheet: Big meat and diary's supersized climate footprint. https://www.boell.de/sites/default/files/factsheet-big-meat-and-dairys-supersized-climate-footprint.pdf?dimension1=division_iap. Retrieved on 22.07.2021.

Instituto Brasileiro de Geografia e Estatística (2016): Produção da Pecuária Municipal. Rio de Janeiro: IBGE.

JBS (2020): Management Report 2020. https://sec.report/otc/financial-report/275113/JBS-2020-Management-Report-and-Financial-Statements.pdf. Retrieved on 27.07.2021.

MarketScreener (2021): Tyson Foods, Inc. (TSN). https://www.marketscreener.com/quote/stock/TYSON-FOODS-INC-14672/company/. Retrieved on 27.07.2021.

Mighty Earth (2019): Cargill: the Worst Company in the World. http://www.mightyearth.org/wp-content/uploads/Mighty-Earth-Report-Cargill-The-Worst-Company-in-the-World-July-2019.pdf. Retrieved on 17.08.2021.

Mighty Earth (2020): Fact Check: JBS Exaggerates Deforestation Commitment. https://www.mightyearth.org/2020/10/05/fact-check-jbs-exaggerates-deforestation-commitment/. Retrieved on 30.07.2021.

Mózner, Z.V. (2015): Carbon Accounting in Long Supply Chain Industries. In: Schaltegger, S., Zvezdov, D., Etxeberria, I.A., Csutora, M., Günther, E. (Eds.): Corporate Carbon and Climate Accounting. Springer International. p. 143-162.

Nasa Earth Observatory (2020a): June 14, 2013 - June 12, 2018.  https://eoimages.gsfc.nasa.gov/images/imagerecords/145000/145888/deforestationtimeseriesani_2013_2018.gif . Retrieved on 22.07.2021.

Nasa Earth Observatory (2020b): Making Sense of Amazon Deforestation Patterns.  https://earthobservatory.nasa.gov/images/145888/making-sense-of-amazon-deforestation-patterns .

Ponte, S. (2019): We must move beyond 'green capitalism'. https://sciencenordic.com/climate-society-and-culture-sustainability/we-must-move-beyond-green-capitalism/1607002. Retrieved on 22.07.2021.

Schaltegger, S., Zvezdov, D., Günther, M., Csutora, M., Alvarez, I. (2015): Corporate Carbin and Climate Change Accounting: Application, Developments and Issues. In: Schaltegger, S., Zvezdov, D., Etxeberria, I.A., Csutora, M., Günther, E. (Eds.): Corporate Carbon and Climate Accounting. Springer International. p. 1-26.

Theuvsen L., Plumeyer C.H., Gawron J.C. (2007): Certification systems in the meat industry: Overview and consequences for chain-wide communication. Polish journal of food and nutrition sciences 57. p. 563-569.

Tyson Foods Inc. (2020): Investor Fact Book - Fiscal Year 2019. https://s22.q4cdn.com/104708849/files/doc_factbook/2020/FactBookFY19_SinglePage-(Final).pdf. Retrieved on 28.07.2021.

Tyson Foods Inc. (2021): Our Brands. https://www.tysonfoods.com/our-brands. Retrieved on 28.07.2021.

Vanham, D. et al. (2019): Environmental footprint family to address local to planetary sustainability and deliver on the SDGs. Science of the Total Environment 693. DOI: https://doi.org/10.1016/j.scitotenv.2019.133642 .

Wood, Z. (2021): World is shifting to a more plant-based diet, says Unilever chief. In: The Guardian. URL: https://www.theguardian.com/business/2021/feb/04/world-is-shifting-to-a-more-plant-based-diet-says-unilever-chief. Retrieved on 20.07.2021.

zu Ermgassen, E. K. H. J., Ayre, B., Godar, J., Bastos Lima, M. G., Bauch, S., Garrett, R., Green, J., Lathuillière, M. J., Löfgren, P., MacFarquhar, C., Meyfroidth, P., Suavet, C., West, C., Gardner, T. (2020): Using supply chain data to monitor zero deforestation commitments: an assessment of progress in the Brazilian soy sector. Environmental Research Letters 15. DOI: https://doi.org/10.1088/1748-9326/ab6497

Sources of Pictures and Map Data

Figure 1

modified from Vanham et al. 2019: 4

Figure 2

modified from Goldstein, Newell 2020: 3

Figure 3

modified from Schaltegger et al. 2015: 10

Figure 4

modified from Goldstein et al. 2020: 3

Map 1

EPA (2020): Facility Level Information on GHGs Tool. Greenhouse Gas Reporting Program. Environmental Protection Agency United States. URL: http://ghgdata.epa.gov/ghgp. Retrieved on 28.07.2021.

Borneo:

Gran Chaco:

Martinsburg:

Oklahoma:

Papua New Guinea:

Pasión River Guatemala:

San Francisco:

Tampa Bay:

Vichada:

West Africa:

Map 2 - Tyson Foods Inc.

Alabama:

Kentucky:

Sedalia:

Tulsa:

Map 2 - JBS S. A.

Amazon Rain Forest:

Figure 6

BNDESPAR:

Formosa:

Friboi:

Gold Kist Farms:

Jair Bolsonaro:

JBS S. A.:

JBS USA:

JF Investimentos:

Onyx Lorenzoni:

Pilgrim's:

PSC:

Swift:

Figure 7

BlackRock:

Hillshire Farm:

Jimmy Deans:

Sara Lee:

SSGA:

Star Ranch Angus:

T. Rowe Price:

Tyson:

Tyson Foods Inc.:

Vanguard:

Figure 9

Own compilation based on:

Figure 2: Exemplary supply chain (simplified) over the life cycle (modified from Goldstein, Newell 2020: 3)

Figure 3: Different scopes of environmental accounting along the supply chain (modified from Schaltegger et al. 2015: 10)

Figure 4: Building blocks of the TRACAST approach (modified from Goldstein et al. 2020: 3)

Figure 6: JBS S. A. Ownership, Brands and Governmental Connections (Own compilation using sources in bullet points)

Figure 7: Tyson Foods. Inc. Ownership and Brands (Own compilation visualizing information via Marketscreener (2021) and source in bullet points)

Figure 9: Comparison of Husbandry form 1 and 4 (Own compilation based on: Haltungsform 2021)