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Insurance development, banking activities, and regional output: evidence from China

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  • Chien-Chiang Lee

    (National Sun Yat-sen University)

  • Tie-Ying Liu

    (Beijing Jiaotong University)

Abstract

This paper applies panel cointegration tests and panel vector error correction models to investigate the interrelationship among the banking sector, insurance market, and regional output based on the samples from 25 Chinese provinces. We first find that there is a fairly strong long-run cointegrating relationship among real GDP, banking credit, and real insurance premiums. Second, both insurance markets (life and non-life) and the banking sector have a positive effect on real output. Third, we determine that banking activities and economic growth exhibit long-run and short-run bidirectional causalities. Fourth, there is fairly strong evidence in favor of the hypothesis for the long-run bidirectional causal relationships between insurance premiums and economic growth, taking into account the critical channel of the banking sector. Finally, we provide some beneficial suggestions for investors and policy-makers.

Suggested Citation

  • Chien-Chiang Lee & Tie-Ying Liu, 2017. "Insurance development, banking activities, and regional output: evidence from China," Empirical Economics, Springer, vol. 53(3), pages 1059-1081, November.
  • Handle: RePEc:spr:empeco:v:53:y:2017:i:3:d:10.1007_s00181-016-1154-9
    DOI: 10.1007/s00181-016-1154-9
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    Cited by:

    1. Guanchun Liu & Chien-Chiang Lee & Yuanyuan Liu, 2020. "Growth path heterogeneity across provincial economies in China: the role of geography versus institutions," Empirical Economics, Springer, vol. 59(2), pages 503-546, August.
    2. Guangdong Xu & Binwei Gui, 2021. "The non‐linearity between finance and economic growth: a literature review and evidence from China," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 35(1), pages 3-18, May.
    3. Hao, Yu & Wang, Ling-Ou & Lee, Chien-Chiang, 2020. "Financial development, energy consumption and China's economic growth: New evidence from provincial panel data," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 1132-1151.

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