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The Network of Inter-Regional Direct Investment Stocks across Europe

Author

Listed:
  • Stefano Battiston

    (Chair for Systems Design, ETH Z\"urich, Switzerland;)

  • Jo~ao F. Rodrigues

    (Chair for Systems Design, ETH Z\"urich, Switzerland;)

  • Hamza Zeytinoglu

    (Clarifix Ltd., London, UK)

Abstract

We propose a methodological framework to study the dynamics of inter-regional investment flow in Europe from a Complex Networks perspective, an approach with recent proven success in many fields including economics. In this work we study the network of investment stocks in Europe at two different levels: first, we compute the inward-outward investment stocks at the level of firms, based on ownership shares and number of employees; then we estimate the inward-outward investment stock at the level of regions in Europe, by aggregating the ownership network of firms, based on their headquarter location. Despite the intuitive value of this approach for EU policy making in economic development, to our knowledge there are no similar works in the literature yet. In this paper we focus on statistical distributions and scaling laws of activity, investment stock and connectivity degree both at the level of firms and at the level of regions. In particular we find that investment stock of firms is power law distributed with an exponent very close to the one found for firm activity. On the other hand investment stock and activity of regions turn out to be log-normal distributed. At both levels we find scaling laws relating investment to activity and connectivity. In particular, we find that investment stock scales with connectivity in a similar way as has been previously found for stock market data, calling for further investigations on a possible general scaling law holding true in economical networks.

Suggested Citation

  • Stefano Battiston & Jo~ao F. Rodrigues & Hamza Zeytinoglu, 2005. "The Network of Inter-Regional Direct Investment Stocks across Europe," Papers physics/0508206, arXiv.org.
    • Handle: RePEc:arx:papers:physics/0508206
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    2. Linyan Wang & Haiqing Hu & Xianzhu Wang, 2022. "The Dynamic Evolution of the Structure of an Urban Housing Investment Niche Network and Its Underlying Mechanisms: A Case Study of 35 Large and Medium-Sized Cities in China," Sustainability, MDPI, vol. 14(6), pages 1-21, March.
    3. Jaime F. Lavin & Mauricio A. Valle & Nicolás S. Magner, 2019. "Modeling Overlapped Mutual Funds’ Portfolios: A Bipartite Network Approach," Complexity, Hindawi, vol. 2019, pages 1-20, July.
    4. Liang Ding & Zhiqian Xu & Juan Wang & Jun Zhou & Junshen Zhang & Xingyue Li, 2023. "Validation of the Basic Supporting Role of Traffic Networks in Regional Factor Flow: A Case Study of Zhejiang Province," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    5. Xing, Lizhi & Guan, Jun & Dong, Xianlei & Wu, Shan, 2018. "Understanding the competitive advantage of TPP-related nations from an econophysics perspective: Influence caused by China and the United States," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 164-184.
    6. Junjie Wang & Shuigeng Zhou & Jihong Guan, 2010. "Characteristics of Real Futures Trading Networks," Papers 1004.4402, arXiv.org, revised Feb 2011.
    7. Frank Schweitzer & Giorgio Fagiolo & Didier Sornette & Fernando Vega-Redondo & Douglas R. White, 2009. "Economic Networks: What Do We Know And What Do We Need To Know?," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 12(04n05), pages 407-422.
    8. Antonios Garas & Athanasios Lapatinas & Konstantinos Poulios, 2016. "The Relation Between Migration And Fdi In The Oecd From A Complex Network Perspective," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(06n07), pages 1-20, September.

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