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Production Networks, Profits, and Innovative Activity: Evidence from Malaysia and Thailand

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Production Networks and Enterprises in East Asia

Abstract

Cross-border production networks have been playing an increasingly important role in the Association of Southeast Asian Nations (ASEAN) countries’ trade in recent years, but micro-level studies of their impacts are rare. This chapter uses firm-level data from the two ASEAN countries that are most active in production networks (Thailand and Malaysia) and examines the effect of participating in production networks on profits and technological capabilities of firms. The empirical results suggest that participating in production networks raises profits. The evidence further suggests that participation in production networks is positively correlated with technological upgrading, measured by a technological capabilities index.

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Notes

  1. 1.

    The term fragmentation is often attributed to pioneering work by Jones and Kierzkowski (1990). Production sharing (Drucker 1977), vertical specialization (Hummels et al. 2001), outsourcing (Grossman and Helpman 2005), and global value chains (Gereffi et al. 2005) refer to a similar phenomenon.

  2. 2.

    Production fragmentation can occur within and across countries (Deardorff 2001).

  3. 3.

    An illustrative example is a Barbie Doll described by Feenstra (1998) who quotes Tempest (1996). The producing firm sources raw materials from Taipei,China and Japan, produces the dolls in Indonesia and Malaysia, using doll clothing from the PRC and paints from the US.

  4. 4.

    See Feenstra (2008) for an overview of the academic debate.

  5. 5.

    The ASEAN countries are: Brunei Darussalam, Cambodia, Indonesia, Lao PDR, Malaysia, Myanmar, Philippines, Singapore, Thailand, and Viet Nam.

  6. 6.

    For more details, see World Bank (2008).

  7. 7.

    The detailed statistics by country are available from the authors upon request.

  8. 8.

    Details about the composition of the TI are included in the Appendix (Table 8.7).

  9. 9.

    We find that the variances between the groups differ. Hence, a test is used that assumes unequal variances.

  10. 10.

    We also estimated a constant elasticity of substitution production function. The main results did not change.

  11. 11.

    The questionnaires in Malaysia do not ask directly for profit or value added of the enterprises. Therefore, we cannot test the robustness of our results to using reported gross profit as dependent variable.

  12. 12.

    We also included firm size to control for the fact that it might be that only bigger firms find it profitable to invest in innovation. The coefficient was highly significant.

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Correspondence to Ganeshan Wignaraja .

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Appendix

Appendix

Table 8.7 Detailed composition of the technology index (TI)
Table 8.8 Correlation matrixes for variables included in Tables 8.5 and 8.6

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Wignaraja, G., Krüger, J., Tuazon, A.M. (2016). Production Networks, Profits, and Innovative Activity: Evidence from Malaysia and Thailand. In: Wignaraja, G. (eds) Production Networks and Enterprises in East Asia. ADB Institute Series on Development Economics. Springer, Tokyo. https://doi.org/10.1007/978-4-431-55498-1_8

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