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Learning by Exporting and High-tech Capital Deepening in Singapore Manufacturing Industries, 1974-2006

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  • Aekapol Chongvilaivan

    ()
    (Singapore Centre for Applied and Policy Economics, Department of Economics, National University of Singapore)

Abstract

A number of fundamental factors enhance the growth of industries’ productivity. Among others, the export-led and high-tech capital deepening strategies are widely adopted by developing economies. This paper attempts to empirically investigate the extent to which both industrial development policies affect the total factor productivity growth (TFPG) in Singapore manufacturing industries from 1974 to 2006. Using the panel data estimations, I find that both development strategies bring about TFPG via non-neutral technological growth, and the former more largely explains TFPG than does the latter. The present study captures the measure of learning by exporting by the lagged export intensity and therefore contributes to the literature, in which only whether or not firms are active in export markets is conventionally employed. Methodologically, my main contributions are a more detailed treatment of (non-neutral) technological changes, and an improved measure of export intensity.

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Bibliographic Info

Paper provided by National University of Singapore, Department of Economics, SCAPE in its series SCAPE Policy Research Working Paper Series with number 0804.

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Length: 31 pages
Date of creation: 06 May 2008
Date of revision:
Handle: RePEc:sca:scaewp:0804

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Web page: http://www.fas.nus.edu.sg/ecs/scape/index.html
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Keywords: Learning by exporting; High-tech Capital Deepening; Total Factor Productivity Growth; Neutral and Factor-biased Technological Progress;

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Cited by:
  1. Mohammad Movahedi & Olivier Gaussens, 2013. "Les effets de l’exportation sur l’innovation et la productivité : Analyse empirique sur un échantillon de PMI," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 201307, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.

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