An anatomy of economic growth in Taiwan

Tuan Yuen Kong, Yun Peng Chu, Chin Fu Hsu, Norden E. Huang

Research output: Contribution to journalArticle

Abstract

This paper revises Sedgley's model of innovation-driven endogenous growth and applies it to the case of Taiwan. The methods of empirical mode decomposition (EMD) and constrained vector error correction (VEC model or VECM) are used in the process. The EMD is used to filter out very short term fluctuations in growth, while the VECM is used to detect the various factors that affect economic growth, including human capital, public and private capital, knowledge capital and public institutions (the index of protection of property rights). It is the first attempt to include such a rich set of factors affecting economic growth at least for the studies of Taiwan.

Original languageEnglish
Pages (from-to)217-231
Number of pages15
JournalAdvances in Adaptive Data Analysis
Volume2
Issue number2
DOIs
Publication statusPublished - Apr 2010
Externally publishedYes

Keywords

  • Economic growth
  • empirical mode decomposition
  • vector error correction

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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  • Cite this

    Kong, T. Y., Chu, Y. P., Hsu, C. F., & Huang, N. E. (2010). An anatomy of economic growth in Taiwan. Advances in Adaptive Data Analysis, 2(2), 217-231. https://doi.org/10.1142/S179353691000046X