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Modeling FDI based on a spatially augmented gravity model: Evidence for Central and Eastern European Countries

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  • Markus Leibrecht
  • Aleksandra Riedl

Abstract

Based on a spatially augmented gravity model, the current paper isolates spatial interrelationships in foreign direct investment (FDI) to Central and Eastern European Countries (CEECs) not only across the destination but also across the origin country dimension of FDI. Results show that (i) spatial interrelationships across destination countries are present and are consistent with the predominance of vertical-complex FDI in total FDI; (ii) spatial correlation across origin countries is given in earlier years of transition, while spillover and competition effects cancel over the whole sample period; and (iii) agglomeration forces gain in importance for FDI to CEECs.

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  • Markus Leibrecht & Aleksandra Riedl, 2014. "Modeling FDI based on a spatially augmented gravity model: Evidence for Central and Eastern European Countries," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 23(8), pages 1206-1237, December.
    • Handle: RePEc:taf:jitecd:v:23:y:2014:i:8:p:1206-1237
    DOI: 10.1080/09638199.2013.861006
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    Cited by:

    1. Tamás Krisztin & Philipp Piribauer, 2021. "Modelling European regional FDI flows using a Bayesian spatial Poisson interaction model," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(3), pages 593-616, December.
    2. Bellak, Christian & Leibrecht, Markus & Chaisse, Julien, 2022. "Reforming International Investment Agreements," Department of Economics Working Paper Series 328, WU Vienna University of Economics and Business.
    3. Christian Bellak & Markus Leibrecht & Julien Chaisse, 2022. "Reforming International Investment Agreements: The Case of China and Foreign Direct Investment," Department of Economics Working Papers wuwp328, Vienna University of Economics and Business, Department of Economics.
    4. Luisa Alamá-Sabater & Benedikt Heid & Eduardo Jiménez-Fernández & Laura Márquez-Ramos, 2017. "FDI in Space Revisited: The Role of Spillovers on Foreign Direct Investment within the European Union," Growth and Change, Wiley Blackwell, vol. 48(3), pages 390-408, September.
    5. Tamás Krisztin & Philipp Piribauer, 2023. "A joint spatial econometric model for regional FDI and output growth," Papers in Regional Science, Wiley Blackwell, vol. 102(1), pages 87-106, February.
    6. Mariev Oleg Svyatoslavovich & Drapkin Igor Mikhailovich & Chukavina Kristina Vladimirovna & Rachinger Heiko, 2016. "Determinants of FDI inflows: the case of Russian regions," Экономика региона, CyberLeninka;Федеральное государственное бюджетное учреждение науки «Институт экономики Уральского отделения Российской академии наук», vol. 12(4), pages 1244-1252.
    7. Alamá-Sabater, Luisa & Heid, Benedikt & Jiménez-Fernández, Eduardo & Márquez-Ramos, Laura, 2016. "What drives interdependence of FDI among host countries? The role of geographic proximity and similarity in public debt," Economic Modelling, Elsevier, vol. 58(C), pages 466-474.
    8. Bergh, Andreas & Mirkina, Irina & Nilsson, Therese, 2015. "Pushed by Poverty or by Institutions? Determinants of Global Migration Flows," Working Paper Series 1077, Research Institute of Industrial Economics.
    9. Drapkin, I. & Mariev, O. & Chukavina, K., 2015. "Inflow and Outflow Potentials of Foreign Direct Investment in the Russian Economy: Numerical Estimation Based on the Gravity Approach," Journal of the New Economic Association, New Economic Association, vol. 28(4), pages 75-95.
    10. Hsiang-Hsi Liu & Pitprapha Dejphanomporn, 2022. "Main Determinants Influencing Inward and Outward Foreign Direct Investments in Thailand: Comparisons and Vital Implications," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 12(1), pages 1-1.
    11. Mariev Oleg & Drapkin Igor & Chukavina Kristina, 2016. "Is Russia successful in attracting foreign direct investment? Evidence based on gravity model estimation," Review of Economic Perspectives, Sciendo, vol. 16(3), pages 245-267, September.

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    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements

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