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The Network Origins of Economic Growth

Author

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  • Dürnecker, Georg
  • Meyer, Moritz
  • Vega-Redondo, Fernando

Abstract

In this paper, we propose a new approach to represent a country's outward orientation. Prior work mostly uses indicators of aggregate trade intensity, trade policy or trade restrictiveness. Our approach offers a broader perspective as it measures a country's level of integration not only by its set of direct trade connections with the rest of the world but also through the full architecture of its second, third, and all other higher-order connections. We apply our methodology to a sample of 167 countries spanning the period from 1962 to 2009 and perform a Bayesian modelaveraging analysis on the determinants of growth. We find a prominent positive effect of integration on a country's level of per capita income, while the aforementioned traditional measures of outward orientation display only a secondary, largely insignificant, weight. This, we argue, highlights the network basis of economic growth and adds a novel perspective to the notion of economic openness. We also perform several sensitivity checks and conclude that our baseline findings are extremely robust to different data input and alternative assumptions about the computation of country integration.

Suggested Citation

  • Dürnecker, Georg & Meyer, Moritz & Vega-Redondo, Fernando, 2014. "The Network Origins of Economic Growth," Working Papers 14-06, University of Mannheim, Department of Economics.
  • Handle: RePEc:mnh:wpaper:35483
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    File URL: https://madoc.bib.uni-mannheim.de/35483/1/Duernecker%2C_Meyer%2C_Vega-Redondo_14-06.pdf
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    References listed on IDEAS

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    Cited by:

    1. Kalyuzhnova, Yelena & Holzhacker, Hans, 2021. "Enhancing Connectivity and Trade Between Central Asia Regional Economic Cooperation Countries and the World: Benefits, Risks and Policy Implication," ADBI Working Papers 1271, Asian Development Bank Institute.
    2. David M. Gould & Dror Y. Kenett & Georgi Panterov, 2021. "Multi‐dimensional economic connectivity: benefits, risks, and policy implications," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 6110-6127, October.
    3. Georg Duernecker & Moritz Meyer & Fernando Vega‐Redondo, 2022. "Trade openness and growth: A network‐based approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1182-1203, September.
    4. Gould, David M. & Panterov, Georgi, 2017. "Multidimensional connectivity: Why the interplay of international connections matters for knowledge transfers," Journal of Policy Modeling, Elsevier, vol. 39(4), pages 699-711.
    5. Liuchun Deng, 2016. "Specialization Dynamics, Convergence, and Idea Flows," SERIES 09-2016, Dipartimento di Economia e Finanza - Università degli Studi di Bari "Aldo Moro", revised Nov 2016.

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    More about this item

    Keywords

    Globalization ; Trade Integration ; Economic Growth ; Network Analysis ; Dynamic Panel Model ; Bayesian Model Averaging;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • F15 - International Economics - - Trade - - - Economic Integration
    • F63 - International Economics - - Economic Impacts of Globalization - - - Economic Development
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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