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The Spatial Dimension of Trade- and FDI-driven Productivity Growth in Chinese Provinces – A Global Cointegration Approach

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  • Özyurt, Selin
  • Mitze, Timo

Abstract

Since the introduction of its open door policy in the late 1970s, China has been attracting a growing share of FDI inflows and its international trade integration has advanced considerably. In this study, we take a closer look at the regional growth impact of the Chinese internationalization activity on labour productivity over the period 1979-2006. Our empirical analysis thereby extends the existing empirical literature by considering the likely spatial effects associated with Trade- and FDI-led growth in a dynamic error correction modelling framework. Our results indicate that, in the long-run relationship, regional labour productivity is indeed driven by direct and indirect spatial effects of FDI and trade activity next to further supply side factors such as the regional infrastructure equipment and human capital endowment. Similarly, in the short-run, changes in FDI activity and especially human capital variables are found to matter for the regional growth dynamics.

Suggested Citation

  • Özyurt, Selin & Mitze, Timo, 2012. "The Spatial Dimension of Trade- and FDI-driven Productivity Growth in Chinese Provinces – A Global Cointegration Approach," Ruhr Economic Papers 308, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    • Handle: RePEc:zbw:rwirep:308
    DOI: 10.4419/86788355
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    3. 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.
    4. Reinhold Kosfeld & Christian Dreger, 2018. "Local and spatial cointegration in the wage curve – a spatial panel analysis for german regions," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 38(1), pages 53-75, February.
    5. Bernard Fingleton & Silvia Palombi, 2016. "Bootstrap J -Test for Panel Data Models with Spatially Dependent Error Components, a Spatial Lag and Additional Endogenous Variables," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(1), pages 7-26, March.
    6. Gutiérrez-Portilla, Paula & Maza, Adolfo & Villaverde, José, 2019. "A spatial approach to the FDI-growth nexus in Spain: Dealing with the headquarters effect," International Business Review, Elsevier, vol. 28(6), pages 1-1.

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    More about this item

    Keywords

    Trade; FDI; productivity growth; spatial spillovers; China;
    All these keywords.

    JEL classification:

    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • P20 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - General
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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