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Effect of Terms of Trade on Economic Growth of China

Author

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  • Khalil Jebran
  • Amjad Iqbal
  • Kalim-Ullah Bhat
  • Arshad Ali

Abstract

This study investigates the effect of terms of trade (TOT) on the economic growth of China over the period 1980–2013. Autoregressive distributed lag (ARDL) model proposed by Pesaran, Shin, and Smith (2001, Journal of Applied Econometrics , 16 (3), pp. 289–326) is applied for examining the short-run and long-run associations. The causality analysis between variables is analyzed by using Granger causality test and variance decomposition test. The ARDL model reveals that TOT significantly and adversely affect economic growth in the short run as well as in the long run. The results also imply positive short-run and long-run effect of labor and capital on the economic growth of China. The Granger causality results reveal significant bidirectional causal relationship between economic growth and capital, and between capital and labor force. The results show unidirectional causality from TOT to labor force. The variance decomposition results show that most of the innovation in economic growth is explained by its own innovation, while other variables have very small contributions to its innovations. The notable findings of the study suggest that TOT deterioration is relatively important for enhancing the economic growth of China.

Suggested Citation

  • Khalil Jebran & Amjad Iqbal & Kalim-Ullah Bhat & Arshad Ali, 2018. "Effect of Terms of Trade on Economic Growth of China," Emerging Economy Studies, International Management Institute, vol. 4(2), pages 157-168, November.
    • Handle: RePEc:sae:emecst:v:4:y:2018:i:2:p:157-168
    DOI: 10.1177/2394901518795068
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