Agreements Among Vegan and Non-Vegan Food Firms
Throughout this study, the authors propose possible agreements among different food producers, in order to develop a new better conceived diet for the future generations, by using a coopetitive approach and game theory. Specifically, the authors shall consider food producers and sellers of vegan (respectively, vegetarian) and non-vegan (or non-vegetarian) food. The coopetitive approach used by the authors provides a mathematical game theory model, which could help producers of vegan food a simpler entry in the market and free significant publicity. Meanwhile, the model could allow producers of non-vegetarian food a smooth transaction to vegetarian and vegan production. In particular, authors propose an agreement setting among McDonald's and Muscle of Wheat, because they think that Muscle of Wheat cannot enter a global market without the help of a large food producer already in the market. The game theory model represents an asymmetric R&D alliance between McDonald's and Muscle of Wheat.
General Perspective and Objectives
In this chapter, the authors study a game theory model for the sustainability of food production. Specifically, we construct a coopetitive model suggesting general possible alliances among vegan and non-vegan food producers. It is now well known that the meat production has begun non-sustainable, from several points of view. Moreover, the meat consumption reveals linked with heart strokes, cancers, diabetes and several other diseases. Indeed, affluent citizens in middle-income and low-income countries are adopting similar high-meat diets and experiencing increased rates of those chronic diseases. The industrial agricultural system (nowadays, the predominant form of agriculture in the USA and increasingly world-wide) - required for the meat and dairy production - determines consequences for public health, owing to:
Moreover, in industrial animal production, we emphasize the strong public health concerns for feed formulations, including animal tissues, arsenic and antibiotics. We underline also the strong concerns for the induced laborer health risks - coming from such unsustainable work - and also for the consequent related health hazards regarding the communities living close to the meat production factories.
A Game Theory Approach
We shall consider possible agreements among different food producers, in order to develop a new better conceived diet for the future generations, by using a coopetitive approach and game theory. Our coopetitive approach provides a mathematical game theory model, which could help producers of vegan food a simpler entry in the market and free significant publicity. Meanwhile, our model could allow producers of non-vegetarian food a smooth transaction to vegetarian and vegan production.
Economic Perspective
Everywhere, during the last years, the industry is taking increasingly more note of the evident circumstance that vegetarians and vegans worlds represent a very attractive economic target. Nowadays, indeed, the major brands of the food industry are trying to create more space for themselves in a food market increasingly less niche and continuously widening.
Vegan Consumption in Europe
In Europe, the “average” consumer shows an increasing interest for alternative foods with respect to meat and dairy products: it is evident the gradual growth in sales of products based on soy, almonds, coconuts, legumes, seeds, beans and other noble vegetables - coming from, also, a thorough marketing campaign which in recent years has extolled the virtues of the legumes health benefits (see Seclì, 2007).
Literature Reviews on Food Production
In this section we present, by citing some relevant sentences, some of the literature we used for the construction of our ideas about the sustainability of food production.
Problems with Meat Production
In an article of 2005 written by Walker, Rhubart-Berg, McKenzie, Kelling, and Lawrence, we read: “We live in a world of contradictions, where one billion people are overweight or obese and another one billion lack adequate food resources, despite the fact that current world food production could feed the 6.3 billion people on Earth (now 7.5 billion people), if distributed equitably and based on a diet with only moderate amounts of animal products Animal products, however, are the primary source of saturated fat responsible for higher risk of cardiovascular disease, diabetes mellitus and some cancers. Meat itself is also associated with increased risk of some cancers. An important public health challenge is to provide adequate amounts of protein and essential nutrients without also causing over-consumption of saturated fat” (see Walker et al., 2005).
Costs of Non-Vegan Food Production
Consider the following data about the costs of meat production as reported by Fiala (2008): “Current production processes for meat products have been shown to have a significant impact on the environment, accounting for between 15% and 24% of current greenhouse gas emissions. Meat consumption has been increasing at a fantastic rate and is likely to continue to do so into the future” (see Fiala, 2008).
Moreover, in Nguyen, Hermansen, and Mogensen (n.d.), we read: “The environmental costs of meat are displayed as characterized results at different midpoint categories e.g. global warming, nature occupation, acidification, eutrophication, ecotoxicity, etc.
In decreasing order of importance, nature occupation has been found to be the main contributor to the costs (55%), followed by global warming (21%) and respiratory inorganics (18%).
A breakdown of the external costs into three damage categories shows that impacts on ecosystems obtain high importance with 80% contribution to the costs whereas impacts on human well-being and impacts on resource productivity carry relatively low importance with 15% and 5% contribution, respectively.
Approximately 75.4% of the environmental costs of pig meat production is related to feed production and the remaining is distributed among the other sub processes, “emissions from housing and manure storage”, “manure utilization for crop fertilization”, “feed transport and direct energy use” by 16.3%, 3.2%, 3.7% and 1.2% respectively.
As for the detailed information about on which part (or component) of the pig meat life cycle, the highest load of different environmental impacts occurs or the largest potential for improvements lies, Figure 1 summarizes the results of such analysis”.
For a deeper study you can read Nguyen et al. (n.d.).
Figure 1. Breakdown of contributing sub-processes and contributing impact categories |
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Source: Nguyen et al., n.d. |
Meat and Sustainability: Data of the Consumption of Meat in the World
Recent data, however, show that in the US, with a population of 316 million in habitants, but also in other European countries, the consumption of animal products is decreasing: 6% between 2006 and 2010. Aided by the economic downturn, but even healthier lifestyles, responsible and sustainable - for example, is increasing in the number of vegetarians or vegans. Western countries are slightly changing their eating habits or keeping them less stable. Other countries see their meat consumption increase, i.e., very large and densely populated countries experiencing a period of strong economic growth. They are the BRICS countries (Brazil, Russia, India, China, South Africa) (see Figure 2).
Figure 2. Estimated consumption of meat for person in kilograms in 2010-12, and forecast in 2022 |
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Source: Böll-Stiftung (2014, pp. 49) |
What the W.H.O. Said on Meat
Epidemiological studies suggest that increases in the risk of several cancers are associated with high consumption of red meat or processed meat. These risks are very important for public health because many people worldwide eat meat and meat consumption is increasing in low- and middle - income countries (See Figure 3).
Figure 3. Worldwide Annual Meat Consumption per capita - Source: ChartsBin (2009) |
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A group of 22 international experts, from 10 countries, examined more than 800 different studies on cancer in humans, and summarized the data in a document of IARC, the International Agency for Research on Cancer. Red meat was classified as “Group 2A - probably carcinogenic to humans”, and processed meat was classified as “Group 1 - carcinogenic to humans”. Processed meat has been classified in the same category as causes of cancer such as tobacco smoking and asbestos (IARC Group 1, carcinogenic to humans i.e. there is sufficient evidence of carcinogenicity in humans from epidemiological studies). The IARC classifications describe the strength of the scientific evidence about an agent being a cause of cancer, rather than assessing the level of risk. An analysis of data from 10 studies estimated that every 50 gram portion of processed meat and every 100 gram portion of red meat, eaten daily, increases the risk of colorectal cancer by about 18% and 17% respectively, if the association of red meat and colorectal cancer were proven to be causal (see WHO, 2015).
Why is Meat and Dairy So Bad for The Environment?
On The Vegan Society (n.d.) we read: “The production of meat and other animal products places a heavy burden on the environment - from crops and water required to feed the animals, to the transport and other processes involved from farm to fork. The vast amount of grain feed required for meat production is a significant contributor to deforestation, habitat loss and species extinction. In Brazil alone, the equivalent of 5.6 million acres of land is used to grow soya beans for animals in Europe. This land contributes to developing world malnutrition by driving impoverished populations to grow cash crops for animal feed, rather than food for themselves. On the other hand, considerably lower quantities of crops and water are required to sustain a vegan diet, making the switch to veganism one of the easiest, most enjoyable and most effective ways to reduce our impact on the environment” (see The Vegan Society, n.d.).
Leitzmann (2014) writes: “The future of vegetarian nutrition is promising because sustainable nutrition is crucial for the well-being of humankind. An increasing number of people do not want animals to suffer nor do they want climate change; they want to avoid preventable diseases and to secure a livable future for generations to come” (see Leitzmann, 2014).
Readings About Sustainability
In this chapter we used several additional by bibliography and sitography about sustainable food succeed: Gourmandelle (2015), Vegan Outreach (2014), MacMillan (n.d.), Universo Vegano (n.d.), Turnbull (2015), One Green Planet (n.d.), Knutson (n.d.), Gavin (2014), Vegan Starter Kit (n.d.), Messina (2010), Vegans of Color (2009), Staying Vegan (2010), Pimentel, D. and Pimentel, M. (2003), Wheeler (2015), Boston University (n.d.), Thomas (n.d.), Wick (2011), National Sustainable Sales (n.d.), AMP (n.d), Albanesi (2013), Lugano (2012), AdnKronos (2015), Oscar Green (2015), Veganblog (2015), Dutto (2015), Sclaunich (2015), Sacchi Hunter (n.d.), Etica Vegana (2016), Zanni (2013), Animalvibe (2015), Fiala (2008), Four Seasons Natura e Cultura (n.d.), Worldwatch Institute (2004), Whole Foods market (n.d.), Petroff (2015), Giambarrresi (2013), Leitzmann (2003), The Vegetarian Resource Group (n.d.), Shanker (2015), Mingolia (2015), Lusk and Bailey Norwood (2007), Mission 2015 (n.d.), Four Seasons Natura e Cultura (n.d.), Saint Louis (2015), Kjaernes, 2010.
Food Sustainability
Food sustainability implies several aspects, already considered widely in literature, for example (see Figure 4):
Figure 4. Sustainable development - Source: Drolc (2013) |
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Why Go Vegan?
In this section we shall consider some common motivations to go vegan.
(see The Vegan Society, n.d.).
Vegan Diet and Impact on the Territory
The vegan diet is clearly different than in vegetarian and omnivorous because it does not provide any form of intensive animal husbandry, truly responsible for the large consumption of resources caused by the major diets common in the West. Those practicing vegan chooses to minimize the burden on the company due to the chain of transformation of raw materials into food on our tables.
The calculation of the natural resource consumption for meat production is expressed taking into account the energy required for the collection of raw materials, the environmental costs of transportation of animals, the washing of animals, the animal feed and environmental costs also due to distribution. In assessing the impact of different diets on the environment, it does not come into play only quantitative assessments:
(see Non solo Vegan, 2014).
Case Study: The “Muscle of Wheat”
We will analyze the case of the “Muscle of wheat”, a food created by the Italian-Calabrese Enzo Marascio, from high quality agricultural product of his land.
It is a real evolution in the food industry, because it shows a nutrient value similar to that of meat, while it results totally vegetable. Wheat and pulses reveal the basic ingredients and make the muscle of wheat more complete than seitan, soy and tofu. It represents a good substitute for those who decide to limit or abolish the own consumption of meat and fish, by following a diet free of dangerous animal fat and cholesterol.
Thanks to a special processing and fermentation, a mixture of wheat flour and pulses it assumes a consistency surprisingly similar to that of meat. Marascio is able to reproduce, with this new raw material - from himself named “Muscle of wheat”, given his impressive consistency - many traditional plates of meat, such as dried beef, some salami, roast beef, etc (see Figure 5, Figure 6, Figure 7).
There seems to exist a big difference between the invention of Marascio and substitutes meat more known and consumed by vegans, like seitan, tempeh, soy steaks. While the latter are derived from a de-structuring of the raw material used, Muscle of wheat develops exclusively on the basis of a dough, without the intervention of artificial modifications of the basic molecules. Moreover, this new product gains a specificity from legumes and cereals put together, not from a major modification of a single raw material: for this reason, the nutrient profile of the muscle of wheat is better.
Muscle wheat has undergone numerous surveys: in particular, in 1992 was analyzed by Prof. Fernando Tateo of the University of Milan and, surprisingly, turned out to be a food very particular: it contains, in fact, 20 amino acids, including the essential 7 amino-acids from 8, is composed of a type of protein which is not found either in the derivative of soy or in food of animal origins. It contains no fat, nor cholesterol - if we except the good cholesterol of extra virgin olive oil - or carbohydrates, resulting therefore be an ideal food for diabetic and celiac people, despite coming from grain.
According to many tasters, the taste of Muscle of Wheat is strikingly similar to that of meat.
Marascio found, proportionally, a greater interest from people out of the universe of vegetarians and vegans, because very often these individuals react with surprise, admitting the goodness of food consisting exclusively on vegetable.
The invention of Marascio is truly innovative, the traditional dishes may be reformulated without significant changes, as it is not the case with traditional seitan, tempeh, soy nuggets, tofu, that frequently require an additional food that gives them flavor. In addition, this food is not derived from soy beans, whose massive use, especially by some vegans, is currently the subject of frequent discussions, but from veggie products traditionally adopted in Italy - in particular, the grain used to produce “Muscle of Wheat” belongs to the “cultivar Senatore Cappelli”, renowned for its nutritional qualities (see Seclì, 2007).
Figure 5. Image of Muscle of Wheat dish: “arrosto con verdure” |
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Source: Muscolo di Grano (n.d.) |
Figure 6. Image of Muscle of Wheat dish: “Muscolo di Grano alla Pizzaiola” |
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Source: Muscolo di Grano (n.d.) |
Figure 7. Image of Muscle of Wheat dish: roast beef |
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Source: Muscolo di Grano (n.d.) |
Muscle of Wheat Wins the Oscar Green Prize at Expo Milan 2015
Muscle of Wheat wins the first prize in the category WeGreen in the occasion of the national competition Oscar Green at Expo Milan, in Italy, as the best and original truly innovative food (see Figure 8, Figure 9). The victory of Muscle of Wheat represents an historical steps towards the production of eco-sustainable food, because it stimulates world's attention upon a product that will solve many problems, both ethical and healthy, for generations to come. The population is increasing exponentially and consequently, to meet the protein need, we see an unsustainable adoption of intensive farming, at the expense, of course, of the quality and ethical issues. Intensive farming goes against nature, by modifying the natural cycles of growth of animals, all with the addition of hormones that, as a result, we assimilate by feeding. Muscle of wheat, contains all the necessary proteins, right calories, zero carbohydrates and zero saturated fat, does not intend to eliminate meat, but stands as an alternative food, at least in the days that you want to save a bit your body, and especially our liver (see Napolitano, 2015).
Figure 8. Muscle of Wheat wins Oscar Green 2015 |
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Source: Oscar Green (2015) |
Figure 9. Muscle of Wheat wins Oscar Green 2015 |
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Source: Napolitano, U. (2015) |
In this chapter the authors propose the possible agreement among a large globalized food producer and Muscle of Wheat. We think that Muscle of Wheat cannot enter a global market without the help of a large food producer already in the market, for example like McDonald's or other globalized food chains. At this aim, we propose a game theory model based on a coopetitive reasoning, representing a possible asymmetric R&D alliance between two subjects: McDonald's and Muscle of Wheat. This asymmetric alliance will benefit different players in the game, Muscle of Wheat will enter a globalized market and export its production worldwide, McDonald's will gain another part of the global food market and society will gain from health improvement.
The Economic Model
Semi-Quantitative Description of the Payoffs
At the end of this R&D alliance, the benefits for the three partners can be summarized as follows:
The Formal Construction of the Game Model
The players are:
The authors distinguish between principal players and side players: principal players are LF and SF, side players are RJV, VC and the Market (civil society).
Strategies
We assume that:
In other terms, we shall use the strategy z of the 3rdplayer as a cooperative strategy of the couple (LF, SF) in a coopetitive game.
Payoffs
Axiom 6: The payoff function of McDonald’s is defined by
f1(x, y, z) = (p - p')x - k' - ay,
where:
Axiom 7: The payoff function of MW is defined by
f2(x,y,z) = p''z1 + ay - y - F + p''' z2,
where:
Axiom 8: The payoff function of the RJV is defined by
f3(x,y,z) = p'x + p(z1 - x) - cz1 - p''z1 -cz2;
where:
Axiom 9: The payoff function of VC is defined by
f4(x,y,z) = k' - k
where:
Axiom 10: The payoff function of the Market is defined by
f5(x,y,z) = - p(z1 - x) + cz1 + k - px +y + bz1+ cz2 -p'''z2 + bz2
where:
The following Figure 10 shows the formal situation.
Figure 10. Formal representation of the game |
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Economic Interpretation
When the research of the RJV of the good (in our case the food) has already begun, then the production of sustainable food is conducted by 2nd player and the Large Firm decides the amount x of production to buy from the RJV.
To begin the RJV research, the VC offers a financial support k to RJV, to cover the initial sunk costs.
After the cooperative production of 2nd player is started, the 1st player pays the capitalized sunk costs k'>k to the RJV, in order to compensate the VC and to conclude the participation of the VC in the game.
Moreover, at the beginning of the RJV, 1st player funds directly the researches of the small firm SF, by a sum ay, for any investment y in research of the 2nd player, with a > 1.
Revenues for the 2nd player are equal to
p''z1 + p'''z2,
where:
The cost is represented by the investment for research and is equal to y.
Axiom 16: For the Research Joint Venture revenues are calculated as
p'x + p(z1 - x) + k
where:
Axiom 17: Lastly, the authors assume that the cost cz for the production of z (by the second player) is paid by the RJV and so the costs for the RJV are equal to:
cz1+ cz2 + p''z1 + k,
where:
Once defined numerically the Payoff functions and strategies of the players, we can develop and analyze completely the numerical game and find classic and less classic solutions of the game: from a competitive, cooperative and coopetitive perspectives. As usual, such solutions show specific economic meanings.
Specifically, we suggest to analyze the game following the general lines proposed by David Carfì in his complete analysis of a differentiable game.
Complete analysis of differentiable game consists in the following points of exam:
In the present work, we do not analyze completely the game but we propose a complete, general and detailed economic model. For some examples, of similar economic models, completely studied by using the technic of a differentiable game completely analysis, you can find in Baglieri, Carfì and Dagnino (2016a, 2016b, 2012), Carfì and Donato (in press), Carfì and Lanzafame (2013), Carfì and Musolino (2015a, 2015b, 2014a, 2014b, 2013a, 2013b, 2013c, 2012a, 2012b, 2012c, 2012d, 2012e, 2011a, 2011b), Carfì and Romeo (2015), and Carfì and Schilirò (2014a, 2014b, 2013, 2012a, 2012b, 2012c, 2012d, 2012e, 2011a, 2011b, 2011c, 2011d).
In particular, we want to emphasize the following solution points:
Remark
Maximum-collective solutions consists in finding a compromise maximum collective gain solution (if any) and in sharing fairly the corresponding total profit.
The share of collective gains among players can respect the Kalai-Smorodinsky method.
Sharing the maximum collective profit by using a Kalai-Smorodinsky method allows to obtain a win-win solution, in the sense that, our solution will be better than the initial Nash payoff for both players.
Future and Emerging Trend
It appears now clear, without any possible doubt, that the world future of feeding goes towards non-meat and non-seafood consumption, essentially because of global environmental issues, linked with a severe climate change and an exponential growing of the current mass extinction. The food production and veggie-products, feasible for that new future feeding scenarios, reveals perfectly matching the Marascio's production of the Muscle of Wheat. Our research and solutions proposal appears perfectly fitting the future scenarios and obliged emerging trends. This consideration provides an insight about the future of the book’s theme from the perspective of the chapter focus.
From an economic point of view, the viability of the proposed paradigm and model is shown by the already employed successful similar R&D alliances in biopharmaceutical industry. The implementation issues of the proposed program might be devised in the difficulties of proposing new feeding habits to an entire society. But, as we explained before, the right way - from an economical, political, health, environmental, ethical and social points of view - appears the road which we traced.
Future Research Opportunities within the Domain of the Topic
Our economic model allows to find easily the optimal transferable utility solutions for the two main participants, when the real data come into the arena. In the future we shall consider numerical models and computer simulations for realistic case, considering also probabilistic scenarios.
As we said above, knowing the data relative to the economic problem, that is:
it becomes possible to analyze and solve the game by calculating all the Carfì's solutions and - among all - those solutions of cooperative nature that give to the main players the optimal solution on a rich Pareto boundary.
We recall two fundamental aspects of our approach:
Another possible future research consists in the observation that our model allows us to forecast, at the beginning of the game, the future gains in the case of uncertain selling scenarios, that is, we can consider scenarios in which we don't know how much product will be bought by the Market and only a part of the total production is actually sold. We shall introduce parameters indicating what percentages of production is actually sold. Such complete approach could be found in Carfì and Donato (in press).
More, assuming the existence of probability distributions on the space of possible sold production we can calculate the aleatoric variable representing the uncertain gains in function of the selling parameters.
In this chapter, we propose a possible coopetitive agreement among a large globalized food producer/seller and Muscle of Wheat, a small, local but strongly innovative healthy food producer of southern Italy.
We think that the small enterprise Muscle of Wheat cannot enter significantly a global market, without the help of a large and famous food producer, already in the global market: for example, McDonald's or other globalized food chains.
On the other hand, we strongly believe that Muscle of Wheat should enter the globalized market because of the quality of its food innovation, which is capable to address global issues such as climate change and even the current mass extinction, human-determined and linked with the extreme soil exploitation, due to all the necessities induced by the meat industry, for the feeding of animals.
Muscle of wheat represents an extremely good alternative to meat and seafood, with optimal healthy features and a minimal environmental impact.
Moreover, McDonald's might see great motivations to change towards the vegan and vegetarian productions, because the world food politics are changing in those directions.
At this aim, we propose a game theory model based on a coopetitive reasoning, representing a possible asymmetric R&D alliance between two subjects: McDonald's and Muscle of Wheat.
This asymmetric alliance will benefit different players in the game:
In this chapter, specifically, we use D. Carfì’s new coopetitive game definition, which considers both collaboration and competition together and simultaneously. Coopetition may advance the understanding and control of asymmetric R&D alliances, those between small (and/or young) firms and large (e.g. Multinational Enterprises).
The results of the mathematical study has proved that we can find more solutions advantageous both for the firms involved for the
The mathematical solution we propose are:
Our contribution is twofold:
So, we encourage McDonald’s and other large food companies to look more closely at the model to understand that compete with biological and vegan small producers and innovators is not always the right way to “get rich” and to create wealth.
From an Economic point of view, we are sure that the competition is not the right way to have success.
Food enterprises should decide not to “fight” with other small food companies to grab a good share of the market, but they have to cooperate to reach the maximum collective gain, for them and for the social communities. Indeed, it's important, for a world looking to the future, to study what is the best combination of richness for enterprises and welfare for the community and for our planet.
Our study, as it is presented, is fully applicable. It can be surely implemented by other scholars and entrepreneurs interested in the food area, and/or in living conditions of all humans and/or in sustainable food production.
Surely, the model can be improved by widening the points of view, for example by studying not only a particular global food producer and only one innovators, but taking into account entire firm-clusters, by using other innovative vegan food resources, that - during time - could be discovered.
If we want to live all in good conditions, we'll have to be more smart and more “green” to save our life and our future and so we hope that enterprises should think the same to increase world health conditions and welfare.
Nowadays, we also need that McDonald’s and other food companies should use more sustainable vegan food product, in order to use less primary resources; so we're looking to stimulate more interest on these global issues.
This research was previously published in Sustainable Entrepreneurship and Investments in the Green Economy edited by Andrei Jean Vasile and Domenico Nicolò, pages 100-143, copyright year 2017 by Business Science Reference (an imprint of IGI Global).
The authors wish to thank two anonymous referees for their precious and stimulating remarks about the work, which help to improve significantly the subject matter and the form of the present chapter.
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Carfì, D. (2004c). S-linear operators in quantum Mechanics and in Economics. Applied Sciences, 6(1), 7-20. Retrieved from http://www.mathem.pub.ro/apps/v06/A06.htm
Carfì, D. (2004d). The family of operators associated with a capitalization law. Physical , Mathematical, and Natural Sciences , 81-82, 1–10. doi:doi:10.1478/C1A0401002
Carfì, D. (2006a). An S-Linear State Preference Model. Communications to SIMAI , 1, 1–4. doi:doi:10.1685/CSC06037
Carfì, D. (2006b). S-convexity in the space of Schwartz distributions and applications. Rendiconti del Circolo Matematico di Palermo, 77.
Carfì, D. (2007a). Dyson formulas for Financial and Physical evolutions in S’n. Communications to SIMAI Congress, 2, 1-10. doi:10.1685/CSC06156
Carfì, D. (2007b). S-Linear Algebra in Economics and Physics. Applied Sciences, 9, 48-66. Retrieved from http://www.mathem.pub.ro/apps/v09/A09-CA.pdf
Carfì, D. (2008a). Optimal Boundaries for Decisions. Physical , Mathematical, and Natural Sciences , 86(1), 1–11. doi:doi:10.1478/C1A0801002
Carfì, D. (2008b). Superpositions in Prigogine’s approach to irreversibility for Physical and Financial applications. Physical, Mathematical, and Natural Sciences, 86(S1), 1-13. doi:10.1478/C1S0801005
Carfì, D. (2008c). Structures on the space of financial events. AAPP | Physical . Mathematical, and Natural Sciences , 86(2), 1–13. doi:doi:10.1478/C1A0802007
Carfì, D. (2009a). Decision-Form Games. In Communications to SIMAI Congress - Proceedings of the 9th Congress of SIMAI, the Italian Society of Industrial and Applied Mathematics. doi:10.1685/CSC09307
Carfì, D. (2009b). Differentiable Game Complete Analysis for Tourism Firm Decisions. Proceedings of the 2009 International Conference on Tourism and Workshop on Sustainable Tourism within High Risk Areas of Environmental Crisis. Retrieved from http://mpra.ub.uni-muenchen.de/29193/
Carfì, D. (2009c). Fibrations of financial events. Proceedings of the International Geometry Center - Prooceding of the International Conference “Geometry in Odessa 2009. Retrieved as MPRA Paper 31307 from http://mpra.ub.uni-muenchen.de/31307/
Carfì, D. (2009d). Payoff space in C1-games. Applied Sciences, 11, 35-47. Retrieved from http://www.mathem.pub.ro/apps/v11/A11-ca.pdf
Carfì, D. (2009e). Globalization and Differentiable General Sum Games. Proceedings of the 3rd International Symposium “Globalization and convergence in economic thought”. Bucaresti: Editura ASE. doi:10.13140/RG.2.1.2215.8801
Carfì, D. (2010a). A model for Coopetitive Games. MPRA Paper 59633. Retrieved from http://mpra.ub.uni-muenchen.de/59633/Carf
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Carfì, D. (2010c). Decision-Form Games . Il Gabbiano. doi:10.13140/RG.2.1.1320.3927
Carfì, D. (2011a). Financial Lie groups. Proceedings of the International Conference RIGA 2011. Bucharest University. Retrieved as MPRA Paper 31303 from http://mpra.ub.uni-muenchen.de/31303/
Carfì, D. (2011b). Financial Lie groups. Cornell University Library. Retrieved from http://arxiv.org/abs/1106.0562
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Carfì, D. (2011d). Reactivity in Decision-form Games. Cornell University Library. Retrieved from http://arxiv.org/abs/1103.0841
Carfì, D. (2012). Coopetitive Games and Applications. In Advances and Applications in Game Theory. doi:doi:10.13140/RG.2.1.3526.6005
Carfì, D. (2015). A model for coopetitive games. Journal of Mathematical Economics and Finance , 1(1), 46–75. Retrieved from http://asers.eu/journals/jmef.html
Carfì, D., & Caristi, G. (2008). Financial dynamical systems. Differential Geometry - Dynamical Systems , 10, 71–85. Retrieved from http://www.mathem.pub.ro/dgds/v10/D10-CA.pdf
Carfì, D., Caterino, A., & Ceppitelli, R. (2015). State preference models and jointly continuous utilities . doi:10.13140/RG.2.1.3689.0966
Carfì, D., & Cvetko Vah, K. (2011). Skew lattice structures on the financial events plane. Applied Sciences, 13, 9-20. Retrieved from http://www.mathem.pub.ro/apps/v13/A13-ca.pdf
Carfì, D., & Donato, A. (in press). A critical analytic survey of an Asymmetric R&D Alliance in Pharmaceutical industry: Bi-parametric study case. Journal of Mathematical Economics and Finance .
Carfì, D., & Fici, C. (2012). The government-taxpayer game. Theoretical and Practical Research in Economic Fields, 3(1), 13-26. Retrieved from http://www.asers.eu/journals/tpref/tpref-past-issues.html
Carfì, D., & Gambarelli, G. (2015). Balancing Bilinearly Interfering Elements. Decision Making in Manufacturing and Services, 9(1), 27-49. Retrieved from https://journals.agh.edu.pl/dmms/article/view/1676/1410
Carfì, D., Gambarelli, G., & Uristani, A. (2013). Balancing pairs of interfering elements. Zeszyty Naukowe Uniwersytetu Szczeciǹskiego 760, 435-442.
Carfì, D., & Lanzafame, F. (2013). A Quantitative Model of Speculative Attack: Game Complete Analysis and Possible Normative Defenses. In M. Bahmani-Oskooee & S. Bahmani (Eds.), Financial Markets: Recent Developments, Emerging Practices and Future Prospects. Nova Science. Retrieved from https://www.novapublishers.com/catalog/product_info.php?products_id=46483
Carfì, D., & Magaudda, M. (2009). Complete study of linear infinite games. Proceedings of the International Geometry Center - Prooceding of the International Conference “Geometry in Odessa 2009”. Retrieved from http://d-omega.org/category/books-and- papers/
Carfì, D., Magaudda, M., & Schilirò, D. (2010). Coopetitive Game Solutions for the eurozone economy. Retrieved as MPRA Paper from http://mpra.ub.uni-muenchen.de/26541/1/MPRA_paper_26541.pdf
Carfì, D., & Musolino, F. (2011a). Fair Redistribution in Financial Markets: A Game Theory Complete Analysis. Journal of Advanced Studies in Finance , 2(2(4)), 74–100.
Carfì, D., & Musolino, F. (2011b). Game Complete Analysis for Financial Markets Stabilization. In Proceedings of the 1st International On-line Conference on Global Trends in Finance (pp. 14–42). ASERS. Retrieved from http://www.asers.eu/asers_files/conferences/GTF/GTF_eProceedings_last.pdf
Carfì, D., & Musolino, F. (2012a). A coopetitive approach to financial markets stabilization and risk management. In Advances in Computational Intelligence, Part IV. 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012. 10.1007/978-3-642-31724-8_62
Carfì, D., & Musolino, F. (2012b). Game Theory and Speculation on Government Bonds. Economic Modelling, 29(6), 2417-2426. doi:10.1016/j.econmod.2012.06.037
Carfì, D., & Musolino, F. (2012c). Game Theory Models for Derivative Contracts: Financial Markets Stabilization and Credit Crunch, Complete Analysis and Coopetitive Solution. Lambert Academic Publishing. Retrieved from https://www.lap-publishing.com/catalog/details//store/gb/book/978-3-659-13050-2/game-theory-models-for-derivative-contracts
Carfì, D., & Musolino, F. (2012d). A game theory model for currency markets stabilization. University Library of Munich. Retrieved from https://mpra.ub.uni-muenchen.de/39240/
Carfì, D., & Musolino, F. (2012e). Game theory model for European government bonds market stabilization: a saving-State proposal. University Library of Munich. Retrieved from https://mpra.ub.uni-muenchen.de/39742/
Carfì, D., & Musolino, F. (2013a). Credit Crunch in the Euro Area: A Coopetitive Multi-agent Solution. In Multicriteria and Multiagent Decision Making with Applications to Economic and Social Sciences: Studies in Fuzziness and Soft Computing, 305, 27-48. doi:10.1007/978-3-642-35635-3_3
Carfì, D., & Musolino, F. (2013b). Game Theory Appication of Monti's Proposal for European Government Bonds Stabilization. Applied Sciences, 15, 43-70. Retrieved from http://www.mathem.pub.ro/apps/v15/A15-ca.pdf
Carfì, D., & Musolino, F. (2013c). Model of Possible Cooperation in Financial Markets in Presence of Tax on Speculative Transactions. Physical , Mathematical, and Natural Sciences , 91(1), 1–26. doi:doi:10.1478/AAPP.911A3
Carfì, D., & Musolino, F. (2014a). Dynamical Stabilization of Currency Market with Fractal-like Trajectories. Scientific Bulletin of the Politehnica University of Bucharest, Series A-Applied Mathematics and Physics, 76(4), 115-126. Retrieved from http://www.scientificbulletin.upb.ro/rev_docs_arhiva/rezc3a_239636.pdf
Carfì, D., & Musolino, F. (2014b). Speculative and Hedging Interaction Model in Oil and U.S. Dollar Markets with Financial Transaction Taxes. Economic Modelling , 37, 306–319. doi:10.1016/j.econmod.2013.11.003
Carfì, D., & Musolino, F. (2015a). A Coopetitive-Dynamical Game Model for Currency Markets Stabilization. Physical , Mathematical, and Natural Sciences , 93(1), 1–29. doi:doi:10.1478/AAPP.931C1
Carfì, D., & Musolino, F. (2015b). Tax Evasion: A Game Countermeasure. AAPP | Physical . Mathematical, and Natural Sciences , 93(1), 1–17. doi:doi:10.1478/AAPP.931C2
Carfì, D., Musolino, F., Ricciardello, A., & Schilirò, D. (2012). Preface: Introducing PISRS. AAPP | Physical, Mathematical, and Natural Sciences, 90. doi:10.1478/AAPP.90S1E1
Carfì, D., Musolino, F., Schilirò, D., & Strati, F. (2013). Preface: Introducing PISRS (Part II). AAPP | Physical, Mathematical, and Natural Sciences, 91. doi:.91S2E110.1478/AAPP
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Carfì, D., Patanè, G., & Pellegrino, S. (2011). Coopetitive Games and Sustainability in Project Financing. In Moving from the Crisis to Sustainability: Emerging Issues in the International Context, (pp. 175-182). Franco Angeli. Retrieved from http://www.francoangeli.it/Ricerca/Scheda_libro.aspx?CodiceLibro=365.906
Carfì, D., & Perrone, E. (2011a). Asymmetric Bertrand Duopoly: Game Complete Analysis by Algebra System Maxima. In Mathematical Models in Economics, (pp. 44-66). ASERS Publishing House. Retrieved from http://mpra.ub.uni-muenchen.de/35417/
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Carfì, D., & Romeo, A. (2015). Improving Welfare in Congo: Italian National Hydrocarbons Authority Strategies and its Possible Coopetitive Alliances with Green Energy Producers. Journal of Applied Economic Sciences , 10(4), 571–592. Retrieved from http://cesmaa.eu/journals/jaes/files/JAES_summer%204(34)_online.pdf
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Carfì, D., & Schilirò, D. (2012c). A Model of Coopetitive Game for the Environmental Sustainability of a Global Green Economy. Journal of Environmental Management and Tourism, 3(1), 5-17. Retrieved as MPRA Paper from https://mpra.ub.uni-muenchen.de/38508/
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