Industrial policy and complexity economics

Mainstream theory underlying industrial policy highlights the neoclassical and structuralist approaches. The discussion on structuralist theories readily segues to complexity economics where industrial policy foments structural transformation by creating reinforcing feedback loops, particularly among manufacturing, exports, and investment. Empirical evidence is provided by applying panel cointegration analysis to investigate coevolution patterns among the following variables: investment-GDP ratio, exports-GDP ratio and manufacturing-GDP ratio. Econometric estimates show that there is indeed a long-run relationship that is bidirectional among the three variables. However, this is only a necessary condition for reinforcing feedback loops to materialize. Idiosyncratic factors in each country determine whether industrial policy has led to growth-oriented feedback loops. In the Philippines, despite interventions to boost manufacturing, no growthoriented loop was established because of inadequate investment, particularly in infrastructure. Moreover, exports were hampered by the poor record in latching on to regional production networks. The Republic of Korea has had more success than Malaysia because it strengthened its innovation system. The missing link in Malaysia is own-technology creation.

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Publication Details

Journal
The Philippine Review of Economics
Published
2024-12-23
DOI
https://doi.org/10.37907/3erp4202d
Primary Topic
Economic and Technological Innovation
Type
article
Field-Weighted Citation Impact
0.00

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article

Industrial policy and complexity economics

Josef Yap, John Faust Turla
The Philippine Review of Economics
Economic and Technological Innovation
article

Industrial policy and complexity economics

Josef Yap, John Faust Turla
article en

Abstract

Mainstream theory underlying industrial policy highlights the neoclassical and structuralist approaches. The discussion on structuralist theories readily segues to complexity economics where industrial policy foments structural transformation by creating reinforcing feedback loops, particularly among manufacturing, exports, and investment. Empirical evidence is provided by applying panel cointegration analysis to investigate coevolution patterns among the following variables: investment-GDP ratio, exports-GDP ratio and manufacturing-GDP ratio. Econometric estimates show that there is indeed a long-run relationship that is bidirectional among the three variables. However, this is only a necessary condition for reinforcing feedback loops to materialize. Idiosyncratic factors in each country determine whether industrial policy has led to growth-oriented feedback loops. In the Philippines, despite interventions to boost manufacturing, no growthoriented loop was established because of inadequate investment, particularly in infrastructure. Moreover, exports were hampered by the poor record in latching on to regional production networks. The Republic of Korea has had more success than Malaysia because it strengthened its innovation system. The missing link in Malaysia is own-technology creation.

The Philippine Review of EconomicsVol. 61(2)
University of the Philippines System (PH), Ateneo de Manila University (PH)
Philippine Center for Economic Development
Decent work and economic growth
Openalex Percentile: Top 71%
Economic and Technological Innovation
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Industrial policy and complexity economics — Josef Yap, John Faust Turla · The Philippine Review of Economics (2024) | TGRS Research Map | TGRS