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The Role Of Fdi Intensity In Achieving Productivity Driven Growth In Malaysian Economy

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  • Ahmed, E. M

Abstract

This study investigates the decomposition of labour productivity growth into contributions of capital deepening, increased usage of Foreign Direct Investment intensity (FDI intensity), and the simultaneous contribution of the quality of these factors. This is expressed as the Total Factor Productivity (TFP) per unit of labour growth in achieving productivity-driven growth in the Malaysian economy. The results of this modified extensive growth theory model show that the productivity growth of Malaysia’s economy is input-driven and being based on FDI when the results of TFP per unit of labour growth were compared. The study also finds that there is a negative contribution of the TFP per unit of labour growth during the sub-period of 1987-1996, although the contribution of the labour productivity was one of the highest during this sub-period.

Suggested Citation

  • Ahmed, E. M, 2010. "The Role Of Fdi Intensity In Achieving Productivity Driven Growth In Malaysian Economy," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 10(1).
  • Handle: RePEc:eaa:aeinde:v:10:y:2010:i:1_14
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    References listed on IDEAS

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    Cited by:

    1. Rahim KIA LASHAKI & Elsadig Musa AHMED, 2017. "FDI Inflow Spillover Effect Implications On The Asia Pacific Productivity Growth Through The Export Channel," Revista Galega de Economía, University of Santiago de Compostela. Faculty of Economics and Business., vol. 26(3), pages 57-72.

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    More about this item

    Keywords

    FDI intensity; input-driven; TFP per unit of labour; Malaysia’s economy;
    All these keywords.

    JEL classification:

    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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