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FrancoAngeli Journals

Notes

Vol. 22 No. 1 (2020)

Trade Relationships in the European Pork Value Chain: a Network Analysis

DOI
https://doi.org/10.3280/ecag1-2020oa10070
Submitted
giugno 22, 2020
Published
2020-06-22

Abstract

This article aims to analyse the European pig sector and its transformations (e.g. vertical integration and phase specialization).
In particular, we will both explore the specialization and territorial concentration of pig production, and the significant changes which have taken place in the trade among European Union countries. Using the network analysis (betweenness centrality, node strength and community detection) applied to Eurostat and fao datasets on production and trade in the period 2000-2016, we will show the emergence of national players and international connections that lead to a larger continental market. Finally, this evidence will be used in the discussion and conclusion to raise wider concerning the working of agrifood
value chains, in terms of social, economic and environmental sustainability, as well as regulation. This calls for more interdisciplinary analyses of value chains.

References

  1. Acemoglu, D., Carvalho, V., Ozdaglar, A. & Tahbez-Salehi, A. (2012). The Network Origins of Aggregate Fluctuations. Econometrica, 80(5), 1977-2016, doi: 10.3982/ecta9623.
  2. Alatriste-Contreras, M. & Fagiolo, G. (2014). Propagation of Economic Shocks in Input-Output Networks: A Cross-Country Analysis. Physical Review E, 90(60), doi: 10.1103/PhysRevE.90.062812.
  3. Amador, J. & Cabral, S. (2016). Networks of Value Added Trade. The World Economy, 40(7), 1291-1313, doi: 10.1111/twec.12469.
  4. Antonelli, G. & Viganò, E. (2009). L’economia dei prodotti agroalimentari tipici tra vincoli tecnici e sfide organizzative. Italian Journal of Agronomy, 4(3), 125-136, doi: 10.4081/ija.2009.s3.125.
  5. Antonelli, G. & Viganò, E. (2018). Global Challenges in Traditional Food Production and Consumption. In A. Cavicchi & C. Santini (Eds.), Case Studies in the Traditional Food Sector (pp. 25-46). Elsevier, doi: 10.1016/b978-0-08-101007- 5.00003-8.
  6. Barberis, E., Freddi, D. Giammetti, R., Polidori, P., Teobaldelli D. & Viganò, E. (2020). Structural characteristics of the European pork value chain: a quantitative analysis. In P. Campanella & D. Dazzi (Eds.), MEAT-UP FFIRE Fairness, freedom and industrial relations across Europe: up and down the meat value chain. Milano: FrancoAngeli.
  7. Barsing, P., Daultani, Y., Vaidya, O.S. & Kumar, S. (2018). Cross-docking Centre Location in a Supply Chain Network: A Social Network Analysis Approach, Global Business Review, 19(3) suppl.: S218-S234, doi: 10.1177/0972150918757847.
  8. Blondel, V.D., Guillaume, J.-L., Lambiotte, R. & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 10: P10008, doi: 10.1088/1742-5468/2008/10/p10008.
  9. Bramoullé, Y., Galeotti, A. & Rogers, B. (2016). The Oxford Handbook of the Economics of Networks. Oxford: Oxford University Press, doi: 10.1093/oxfordhb/9780199948277.001.0001.
  10. Brenner, N. (2004). New State Spaces. Oxford: Oxford University Press.
  11. Brinkley, C. (2017). Visualizing the social and geographical embeddedness of local food systems. Journal of Rural Studies, 54, 314-325, doi: 10.1016/j.jrurstud.2017.06.023.
  12. Caldarelli, G. (2007). Scale-free Networks: Complex Webs in Nature and Technology. Oxford: Oxford University Press, doi: 10.1093/acprof:oso/9780199211517.001.0001.
  13. Camanzi, L., Bartoli, G., Biondi, B. & Malorgio, G. (2018). A Structural-Functional Theory approach to vertical coordination in agri-food supply chains: insights from the “Gran Suino Italiano” Inter-branch Organisation. Economia Agro-Alimentare/Food Economy, 20(2), 169-180, doi: 10.3280/ECAG2018-002003.
  14. Carvalho, V.M., Nirei M., Saito, Y.U. & Tahbaz-Salehi, S. A. (2016). Supply Chain Disruptions: Evidence from the Great East Japan Earthquake, Columbia Business School Research Paper, n. 17-5, doi: 10.2139/ssrn.2883800.
  15. Castells, M., (2004). The Network Society: A Cross-cultural Perspective. Edward Elgar, doi: 10.4337/9781845421663.
  16. Chiffoleau, Y. & Touzard, J. (2014). Understanding local agri-food systems through advice network analysis. Agriculture and Human Values, 31(1), 19-32, doi: 10.1007/s10460-013-9446-6.
  17. Chinazzi, M. & Fagiolo, G. (2013). Systemic risk, contagion, and financial networks: A survey. SSRN Electronic Journal, doi: 10.2139/ssrn.2243504.
  18. Crespo, J., Réquier-Desjardins D. & Vicente, J. (2014). Why can collective action fail in Local Agri-food Systems? A social network analysis of cheese producers in Aculco, Mexico, Food Policy, 46: 165-177, doi: 10.1016/j.foodpol.2014.03.011.
  19. Criscuolo, C. & Timmis, J. (2018). gvcs and centrality: Mapping key hubs, spokes and the periphery. oecd Productivity Working Papers, No. 12, Oecd Publishing, Paris, doi: 10.1787/d4a9bd6f-en.
  20. De Benedictis, L. & Tajoli, L. (2011). The World Trade Network. The World Economy, 34(8), 1417-1454, doi: 10.1111/j.1467-9701.2011.01360.x.
  21. De Boni, A., Pulina, P. & Roma, R. (2016). Adaptation processes of agro-food companies toward responsibility. Economia Agro-Alimentare/Food Economy, 18(1), 13-38, doi: 10.3280/ECAG2016-001002.
  22. Delli Gatti, D., Gaffeo, E., Gallegati, M., Giulioni, G., Kirman, A., Palestrini, A. & Russo, A. (2007). Complex dynamics and empirical evidence. Information Sciences, 177(5), 1204-1221, doi: 10.1016/j.ins.2006.08.003.
  23. Dolman, M.A., Vrolijk, H.C.J. & de Boer, I.J.M. (2012). Exploring variation in economic, environmental and societal performance among Dutch fattening pig farms. Livestock Science, 149(1-2), 143-154, doi: 10.1016/j.livsci.2012.07.008.
  24. Economidies, N. (1996). The Economics of Networks. International Journal of Industrial Organization, 14, 673-699.
  25. European Commission (2018). EU Farm Economics Overview based on 2015 (and 2016) fadn data, [https://ec.europa.eu/info/sites/info/files/food-farming-fisheries/farming/documents/eu-farm-economics-overview-2015_en.pdf].
  26. Eurostat (2019). Agriculture, forestry and fishery statistics, Luxembourg: Publications Office of the European Union [https://ec.europa.eu/eurostat/documents/3217494/10317767/KS-FK-19-001-EN-N.pdf/742d3fd2-961e-68c1-47d0-11cf30b11489].
  27. Fagioli, F.F., Rocchi, L., Paolotti, L., Słowiński, R. & Boggia, A. (2017). From the farm to the agri-food system: A multiple criteria framework to evaluate extended multi-functional value. Ecological Indicators, 79, 91-102, doi: 10.1016/j.ecolind.2017.04.009.
  28. Fagiolo, G., Reyes, J. & Schiavo, S. (2010). The evolution of the world trade web: a weighted – network analysis. Journal of Evolutionary Economics, 20(4), 479-514, doi: 10.1007/s00191-009-0160-x.
  29. Farmer, J.D., Gallegati, M., Hommes, C., Kirman, A., Ormerod, P., Cincotti, S., Sanchez, A. & Helbing, D. (2012). A complex systems approach to constructing better models for managing financial markets and the economy. The European Physical Journal Special Topics, 214(1): 295-324, doi: 10.1140/epjst/e2012-01696-9.
  30. Ferretti, A. (2016). Il pericolo sovrapproduzione. Suinicoltura, 1, 28-30.
  31. Focacci, M., De Meo, I. & Paletto, A. (2018). Relationship between innovation and networks in chestnut value chain: A case study in Italy, Journal of Forest Science, 64(1), 43-51, doi: 10.17221/104/2017-JFS.
  32. Gallegati, M., Keen, S., Lux, T. & Ormerod, P. (2006). Worrying trends in econophysics. Physica A: Statistical Mechanics and its Applications, 370(1), 1-6, doi: 10.1016/j.physa.2006.04.029.
  33. Gereffi, G. & Korzeniewicz, M. (eds.) (1994). Commodity Chains and Global Capitalism, Praeger: Westoport.
  34. Giammetti, R., Russo, A. & Gallegati, M. (2020). Key Sectors in Input-Output Production Networks: An Application to Brexit. The World Economy, doi: 10.1111/twec.12920.
  35. Goyal, S. (2007). Connections: An Introduction to the Economics of Networks. Princeton University Press.
  36. Grieco, M. & Urry, J. (Eds.) (2016). Mobilities. London: Routledge.
  37. Grolleau, G. & Caswell, J.A. (2006). Interaction Between Food Attributes in Markets: The Case of Environmental Labeling. Journal of Agricultural and Resource Economics, 31(3), 471-484.
  38. Hoste, R. (2020). International comparison of pig production costs 2018. Wageningen Economic Research report 2020-007, doi: 10.18174/511876.
  39. Jackson, M.O. (2008). Social and Economic Networks. Princeton NJ: Princeton University Press, doi: 10.1177/02685809100250050902.
  40. Kelley, S., Goldberg, M., Magdon-Ismail, M., Mertsalov, K. & Wallace, A. (2012). Defining and Discovering Communities in Social Networks. In: Thai, M. & Pardalos, P. (Eds), Handbook of Optimization in Complex Networks. Springer Optimization and Its Applications, 57, 139-168, Springer, Boston, MA, doi: 10.1007/978-1-4614-0754-6_6.
  41. Labajova, K., Hansson, H., Asmild, M., Goransson, L., Lagerkvist, C-J. & Neil, M. (2016). Multidirectional analysis of technical efficiency for pig production systems: The case of Sweden, Livestock Science, 187, 168.180, doi: 10.1016/j.livsci.2016.03.009.
  42. Maples, J.G., Lusk, J.L. & Peel, D.S. (2016). Coordinating Supply Chains to Maximize Value in the Beef and Pork Industries. The Southern Agricultural Economics Association’s 2016 Annual Meeting (pp. 1-22), San Antonio, Texas, February, 6‐9.
  43. Mariani, A. & Viganò, E. (2013). Il Commercio equo: un modello replicabile per lo sviluppo sostenibile. Rivista di Studi sulla Sostenibilità, 1, 149-161, doi: 10.3280/riss2013-001012.
  44. Newman, M. (2010). Networks: An Introduction. New York, NY, usa: Oxford University Press, Inc.
  45. Rosser, J.B. (2003). Complexity in economics. Cheltenham: Edward Elgar.
  46. Sassen, S. (2008). Territory, Authority and Rights. Princeton: Princeton University Press, doi: 10.1515/9781400828593.
  47. Schweitzer, F., Fagiolo, G., Sornette, D., Vega-Redondo, F., Vespignani, A. & White, D.R. (2009). Economic Networks: The New Challenges. Science, 325 (5939), 422-425, doi: 10.1126/science.1173644.
  48. Sturla, A., Viganò, E. & Viganò, L. (2019). The Organic Districts in Italy. An Interpretative hypothesis in the Light of the Common Pool Resources Theory. Food Economy, 21(2), 429-458, doi: 10.3280/ECAG2019-002013.
  49. Szymańska, E.J. (2017). The Development of the Pork Market in the World in Terms of Globalization. Journal of Agribusiness and Rural Development, 4(46), 843-850, doi: org/10.17306/J.JARD.2017.00362.
  50. Tacchella, A., Cristelli, M., Caldarelli, G., Gabrielli, A. & Pietronero, L. (2012). A New Metrics for Countries’ Fitness and Products’ Complexity. Scientific Reports 2, 723, doi: 10.1038/srep00723, doi: 10.1109/ICDM.2013.167.
  51. Verbeke, W., Guerrero, L., Almli, V.L., Vanhonacker, F. & Hersleth, M. (2016). European Consumers’ Definition and Perception of Traditional Foods. In: K. Kristbergsson & J. Oliveira (Eds), Traditional Foods. Integrating Food Science and Engineering Knowledge Into the Food Chain (pp. 3-16). Boston, MA: Springer, doi.org/10.1007/978-1-4899-7648-2_1.
  52. Viganò, E., Gori, F. & Amicucci, A. (2019). Value-enhancement of quality food products: the case of truffle. Economia Agro-Alimentare/Food Economy, 21(3), 587-611, doi: 10.3280/ECAG2019-003002.
  53. Yang, J., McAuley, J. & Leskovec, J. (2013). Community Detection in Networks with Node Attributes, 2013 IEEE 13th International Conference on Data Mining, Dallas, TX, pp. 1151-1156. Doi: 10.1109/ICDM.2013.167.
  54. Zhu, Z., Puliga, M., Cerina, F., Chessa, A. & Riccaboni, M. (2015). Global Value Trees. PLoS ONE, 10(5), e0126699, doi: 10.1371/journal.pone.0126699.

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