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Global value chain embeddedness, labour productivity and employment in the Asia-Pacific countries

Author

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  • Bhushan Praveen Jangam

Abstract

Purpose - The purpose of this paper is to examine the effects of the global value chain (GVC) participation and the associated improvements in labour productivity and employment among 16 Asia-Pacific countries. Design/methodology/approach - First, the indicators of GVC participation are computed using annual multi-region input-output tables over the period 1990-2014. Second, the study examines the long-run association between GVCs and labour productivity through Pedroni (2004) and Westerlund (2007) panel cointegration techniques. Then in the third step, the long-run elasticities are estimated using dynamic ordinary least squares (DOLS) and fixed-random effects models. Finally, the direction of causality is examined using the Dumitrescu and Hurlin (2012) panel causality technique. Findings - The result shows an increasing participation of GVCs among Asia-Pacific countries. The findings also show the long-run relationship between GVCs and labour productivity. The long-run elasticities suggest the positive association of GVCs with labour productivity and employment. Further, the categorization of Asia-Pacific countries based on income groups reveals that improvement in labour productivity and employment outcomes is significantly greater in the case of middle-income countries. Finally, the results from panel causality infer that the direction of causality runs from GVCs to labour productivity and GVCs to employment. Practical implications - The findings enable policymakers to formulate appropriate policies in Asia-Pacific countries to keep the momentum of increasing their participation in GVC for boosting labour productivity and employment gains. Originality/value - To the author’s knowledge, this is the first empirical study examining the spillover effects of GVC on labour productivity and employment in case of Asia-Pacific countries.

Suggested Citation

  • Bhushan Praveen Jangam, 2020. "Global value chain embeddedness, labour productivity and employment in the Asia-Pacific countries," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 38(2), pages 339-360, April.
  • Handle: RePEc:eme:sefpps:sef-10-2019-0408
    DOI: 10.1108/SEF-10-2019-0408
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    Citations

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    Cited by:

    1. Bhushan Praveen Jangam & Badri Narayan Rath, 2020. "Cross-country convergence in global value chains: Evidence from club convergence analysis," International Economics, CEPII research center, issue 163, pages 134-146.

    More about this item

    Keywords

    Labour productivity; Forward linkages; Backward linkages; Global value chains; Panel cointegration; Dumitrescu–Hurlin panel causality; Cross-sectional dependence; C33; E24; F16; F12;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • F16 - International Economics - - Trade - - - Trade and Labor Market Interactions
    • F12 - International Economics - - Trade - - - Models of Trade with Imperfect Competition and Scale Economies; Fragmentation

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