Characterizing Large Scale Land Acquisitions Through Network Analysis

  • Roberto InterdonatoEmail author
  • Jeremy Bourgoin
  • Quentin Grislain
  • Matteo Zignani
  • Sabrina Gaito
  • Markus Giger
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 882)


Large Scale Land Acquisitions (LSLAs) by private companies or states have seen a sudden increase in recent years, mainly due to combined and increasing demands for biofuel (i.e., caused by the increase in oil prices) and food (i.e., caused by the increase in world population and changes in dietary habits). These highly controversial phenomena raise many questions about production models, people’s rights, resource governance, and are often at the root of conflicts with local populations. A valuable source of open access information about LSLAs, which fosters the study of such phenomena, is the database collected by the Land Matrix initiative. The database lists land deals of at least 200 ha and details for example, their nature (e.g. agriculture, infrastructure, mining), their current status (e.g. ongoing, abandoned, pending), and the investing companies. The information about land deals collected in the Land Matrix database comes from heterogeneous sources such as press articles, government data, individual contributions and scientific publications. In this work, we focus on a land trade network built upon the Land Matrix data about top companies and target countries related to each deal in the database. Modeling the information about LSLAs in a land trade network allows us to leverage on network analysis techniques, which will help to characterize land acquisition deals from an original point of view. In order to take a first step in this direction, we provide: (i) a centrality based analysis of the land trade network, including an analysis based on the correlation of centrality measures with different country development indicators, and (ii) an analysis based on network motifs (i.e., recurring, statistically significant subgraphs), which provides an insight into higher order correlations between countries, thus providing fresh knowledge about recurring patterns in transnational land trade deals.


Large scale land acquisition Network motifs Network analysis Land trade network 


  1. 1.
    Adbib, R.: Large scale foreign land acquisitions: neoliberal opportunities or neocolonial challenges? (2012)Google Scholar
  2. 2.
    Anseeuw, W., Boche, M., Breu, T., Giger, M., Lay, J., Messerli, P., Nolte, K.: Transnational land deals for agriculture in the global south. Analytical report based on the land matrix database (2012)Google Scholar
  3. 3.
    Borras, S.M., Hall, R., Scoones, I., White, B., Wolford, W.: Towards a better understanding of land-grabbing. An editorial introduction. J. Peasant. Stud. 38(2), 209–2016 (2011)CrossRefGoogle Scholar
  4. 4.
    Borras, S.M., Hall, R., Scoones, I., White, B., Wolford, W.: The rush for land in Africa: resource grabbing or green revolution? S. Afr. J. Int. Aff. 20(1), 159–177 (2013)CrossRefGoogle Scholar
  5. 5.
    Byerlee, D., Garcia, A.F., Giertz, A., Palmade, V.: Poverty and the globalization of the food and agriculture system. In: The Poorest and Hungry: Assessments, Analyses, and Actions: An IFPRI 2020 Book (2007)Google Scholar
  6. 6.
    Byerlee, D., Garcia, A.F., Giertz, A., Palmade, V.: Growing Africa. Unlocking the potential of agribusiness (2013)Google Scholar
  7. 7.
    Cotula, L.: The international political economy of the global land rush: a critical appraisal of trends, scale, geography and drivers. J. Peasant. Stud. 39, 649–680 (2012)CrossRefGoogle Scholar
  8. 8.
    Cotula, L.: Human rights, natural resource and investment law in a globalised world: Shades of grey in the shadow of the law (2013)Google Scholar
  9. 9.
    FAO/UNIDO: Id3a, initiative pour le développement de l’agri-business et des agro-industries en afrique, page 38 (2010)Google Scholar
  10. 10.
    GRAIN: Accaparement des terres et souveraineté alimentaire en afrique de l’ouest et du centre. A contre courant (2012)Google Scholar
  11. 11.
    Hallam, D.: International investments in agricultural production (2009)Google Scholar
  12. 12.
    Konig, G., Da Silva, C.A., Mhlanga, N.: Enabling environments for agribusiness and agro-industries development. regional and country perspectives (2013)Google Scholar
  13. 13.
    Mechiche-Alami, A., Piccardi, C., Nicholas, K.A., Seaquist, J.W.: Transnational land acquisitions beyond the food and financial crises. Environmental Research Letters, page 18, in PressGoogle Scholar
  14. 14.
    Milo, R., Shen-Orr, S., Itzkovitz, S., Kashtan, N., Chklovskii, D., Alon, U.: Network motifs: simple building blocks of complex networks. Science 298(5594), 824–827 (2002)CrossRefGoogle Scholar
  15. 15.
    Nolte, K., Chamberlain, W., Giger, M.: International land deals for agriculture. Fresh insights from the land matrix: Analytical report ii (2016)Google Scholar
  16. 16.
    Ribeiro, P., Silva, F.: G-tries: an efficient data structure for discovering network motifs. In: Proceedings of the 2010 ACM Symposium on Applied Computing, SAC 2010. ACM, New York (2010)Google Scholar
  17. 17.
    Robertson, B., Pinstrup-Andersen, P.: Global land acquisition: neo-colonialism or development opportunity? Food Secur. 2(3), 271–283 (2010)CrossRefGoogle Scholar
  18. 18.
    Rulli, M.C., D’Odorico, P.: Food appropriation through large scale land acquisitions. Environ. Res. Lett. 9, 8 (2014)Google Scholar
  19. 19.
    Seaquist, J.W., Johansson, E.L., Nicholas, K.A.: Architecture of the global land acquisition system: applying the tools of network science to identify key vulnerabilities. Environ. Res. Lett. 9(11), 114006 (2014)CrossRefGoogle Scholar
  20. 20.
    von Braun, J., Meinzen-Dick, R.: Land grabbing by foreign investors in developing countries. Risks and opportunities (2009)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Roberto Interdonato
    • 1
    Email author
  • Jeremy Bourgoin
    • 1
  • Quentin Grislain
    • 1
  • Matteo Zignani
    • 2
  • Sabrina Gaito
    • 2
  • Markus Giger
    • 3
  1. 1.Cirad, TETIS, TETIS, Univ. of Montpellier, APT, Cirad, CNRS, IrsteaMontpellierFrance
  2. 2.Università degli Studi di MilanoMilanItaly
  3. 3.Centre for Development and Environment (CDE)University of BernBernSwitzerland

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