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Multi-scale causality between saving and growth: evidence from China

Author

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  • Xu Zhang
  • Jianqin Hang
  • Xiaoxing Liu

Abstract

In this article, we use a wavelet-based Granger causality approach to examine the multi-scale causality between saving and growth for China. We show that significant causality runs from saving to growth for most timescales, whereas multi-scale causality from growth to saving is not statistically significant. Our subsample results suggest that economic systems have remarkable effects on the multi-scale causality. Overall, our study provides a novel perspective to deeply explore the relationships between macroeconomic variables.

Suggested Citation

  • Xu Zhang & Jianqin Hang & Xiaoxing Liu, 2017. "Multi-scale causality between saving and growth: evidence from China," Applied Economics Letters, Taylor & Francis Journals, vol. 24(11), pages 790-794, June.
    • Handle: RePEc:taf:apeclt:v:24:y:2017:i:11:p:790-794
    DOI: 10.1080/13504851.2016.1229403
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    Cited by:

    1. Taguchi, Hiroyuki, 2021. "A revisit to effects of demographic dynamics on economic growth in Asia," MPRA Paper 110609, University Library of Munich, Germany.
    2. Yonghong JIANG & Juan MENG & He NIE, 2018. "Visiting the Economic Policy Uncertainty Shocks - Economic Growth Relationship: Wavelet-based Granger-Causality in Quantiles Approac," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 80-94, December.

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