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How much informal credit lending responded to monetary policy in China? The case of Wenzhou

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  • Qin, Duo
  • Xu, Zhong
  • Zhang, Xuechun
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. A number of relatively stable factors have been identified from this volatile market through a careful exploration of a monthly survey data set for the period of 2003–2011. The main findings are: (i) Wenzhou's informal credit lending rates are highly receptive to monetary policies; (ii) Wenzhou's market is dominantly demand driven; (iii) Wenzhou's informal lending is substitutive to bank savings in the short run but complementary to banking lending in the long run; and (iv) Wenzhou's market is complementary to excessive investments in the local real estate market.

Suggested Citation

  • Qin, Duo & Xu, Zhong & Zhang, Xuechun, 2014. "How much informal credit lending responded to monetary policy in China? The case of Wenzhou," Journal of Asian Economics, Elsevier, vol. 31, pages 22-31.
    • Handle: RePEc:eee:asieco:v:31-32:y:2014:i::p:22-31
    DOI: 10.1016/j.asieco.2014.03.001
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    References listed on IDEAS

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    Cited by:

    1. Michael Funke & Petar Mihaylovski & Haibin Zhu, "undated". "Monetary policy transmission in China: A DSGE model with parallel shadow banking and interest rate control," GRU Working Paper Series GRU_2016_007, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    2. Liqiong Lin & Weizhuo Wang & Christopher Gan & David A. Cohen & Quang T.T Nguyen, 2019. "Rural Credit Constraint and Informal Rural Credit Accessibility in China," Sustainability, MDPI, vol. 11(7), pages 1-20, April.
    3. GUO, Jianfeng & LIU, Xiaojie & CUI, Changnan & GU, Fu, 2021. "Influence of nonspecific factors on the interest rate of online peer-to-peer microloans in China," Finance Research Letters, Elsevier, vol. 41(C).
    4. Liu, Qiyang & Liu, Zhengying & Kang, Tingting & Zhu, Le & Zhao, Pengjun, 2022. "Transport inequities through the lens of environmental racism: Rural-urban migrants under Covid-19," Transport Policy, Elsevier, vol. 122(C), pages 26-38.
    5. 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.
    6. Ding Chen & Simon Deakin, 2021. "When formal finance meets the informal: the case of Wenzhou," Journal of Banking Regulation, Palgrave Macmillan, vol. 22(3), pages 208-218, September.
    7. Peters Idowu & Yaaba N. Baba & Adetoba O. Olufunso & Tomologu-Okunomo E. Aduni & Tonuchi E. Joseph, 2020. "How Effective is Monetary Policy in the Presence of High Informality in Nigeria," Journal of Accounting, Business and Finance Research, Scientific Publishing Institute, vol. 10(2), pages 84-93.
    8. Yingxiu Zhao & Wei Zhang & Xiangyu Kong, 2019. "Dynamic Cross-Correlations between Participants’ Attentions to P2P Lending and Offline Loan in the Private Lending Market," Complexity, Hindawi, vol. 2019, pages 1-8, 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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