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How Much Has Private Credit Lending Reacted to Monetary Policy in China? The Case of Wenzhou

Author

Listed:
  • Duo Qin

    (Department of Economics, SOAS University of London, UK)

  • Zhong Xu

    (People's Bank of China)

  • Xue-Chun Zhang

    (People's Bank of China)

Abstract

This study investigates empirically what the major factors are which have driven Wenzhou’s informal credit market and how much that market is responsive to monetary policies and the formal banking conditions nationwide. The main findings are: (i) the informal credit lending rates are highly receptive to monetary policies; (ii) the market is dominantly demand driven; (iii) the informal lending is substitutive to bank savings in the short run but complementary to banking lending in the long run; and (iv) the market is complementary to excessive investments in the local real estate market.

Suggested Citation

  • Duo Qin & Zhong Xu & Xue-Chun Zhang, 2013. "How Much Has Private Credit Lending Reacted to Monetary Policy in China? The Case of Wenzhou," Working Papers 178, Department of Economics, SOAS University of London, UK.
  • Handle: RePEc:soa:wpaper:178
    as

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    File URL: https://www.soas.ac.uk/sites/default/files/2022-10/economics-wp178.pdf
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    References listed on IDEAS

    as
    1. Madestam, Andreas, 2014. "Informal finance: A theory of moneylenders," Journal of Development Economics, Elsevier, vol. 107(C), pages 157-174.
    2. repec:bla:rdevec:v:3:y:1999:i:3:p:323-35 is not listed on IDEAS
    3. Allen, Franklin & Qian, Jun & Qian, Meijun, 2005. "Law, finance, and economic growth in China," Journal of Financial Economics, Elsevier, vol. 77(1), pages 57-116, July.
    4. Seth B. Carpenter, 1999. "Informal Credit Markets and the Transmission of Monetary Policy: Evidence from South Korea," Review of Development Economics, Wiley Blackwell, vol. 3(3), pages 323-335, October.
    5. Rosemary Atieno, 2009. "Linkages, Access to Finance and the Performance of Small-Scale Enterprises in Kenya," WIDER Working Paper Series RP2009-06, World Institute for Development Economic Research (UNU-WIDER).
    6. Khandker , Shahidur R., 2000. "Savings, Informal Borrowing, and Microfinance," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 26(2-3), pages 49-78, June-Sept.
    7. Ngalawa, Harold & Viegi, Nicola, 2013. "Interaction of formal and informal financial markets in quasi-emerging market economies," Economic Modelling, Elsevier, vol. 31(C), pages 614-624.
    8. Hansen, Bruce E., 1992. "Testing for parameter instability in linear models," Journal of Policy Modeling, Elsevier, vol. 14(4), pages 517-533, August.
    9. Harold NGALAWA, 2010. "The Interaction of Formal and Informal Financial Sectors in Quasi-Emerging Market Economies," EcoMod2010 259600120, EcoMod.
    10. repec:bla:econom:v:64:y:1997:i:254:p:331-43 is not listed on IDEAS
    11. Guirkinger, Catherine, 2008. "Understanding the Coexistence of Formal and Informal Credit Markets in Piura, Peru," World Development, Elsevier, vol. 36(8), pages 1436-1452, August.
    12. Hendry, David F., 1995. "Dynamic Econometrics," OUP Catalogue, Oxford University Press, number 9780198283164.
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    Cited by:

    1. Dong He & Honglin Wang & Xiangrong Yu, 2015. "Interest Rate Determination in China: Past, Present, and Future," International Journal of Central Banking, International Journal of Central Banking, vol. 11(4), pages 255-277, December.

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    More about this item

    Keywords

    informal credit market; monetary policy;

    JEL classification:

    • G19 - Financial Economics - - General Financial Markets - - - Other
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

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