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Effects of credit constraints on rural household technical efficiency

Author

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  • Jianmei Zhao
  • Peter J. Barry

Abstract

Purpose - – The purpose of this paper is to evaluate the effects of access to formal credit on rural household technical efficiency in China. Design/methodology/approach - – Based on the rural household survey data in Weifang city, Shandong province in northern China, the authors apply recent developed bootstrapped DEA approach to investigate rural technical efficiency at the household level under the consideration of off-farm activities. Rural households are then identified as credit constrained and classified as supply-side and demand-side credit constraints by applying direct elicitation method. Finally, the authors apply a tobit regression to examine the effects of credit constraints on household technical efficiency. Findings - – Rural households in China not only suffer supply-side credit constraints, but also demand-side credit constraints resulted from the transaction costs and risk rationing. The tobit regression discloses that demand-side credit constraints impose significant negative impacts on household technical efficiency. Originality/value - – The authors clarify the definition of credit constraints and classify the credit constraints into supply-side and demand-side credit constraints. The results of this paper have significant policy implications for rural finance policies in China.

Suggested Citation

  • Jianmei Zhao & Peter J. Barry, 2014. "Effects of credit constraints on rural household technical efficiency," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 6(4), pages 654-668, October.
    • Handle: RePEc:eme:caerpp:v:6:y:2014:i:4:p:654-668
    DOI: 10.1108/CAER-10-2012-0115
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    Citations

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    Cited by:

    1. Lota Tamini & Ibrahima Bocoum & Ghislain Auger & Kotchikpa Gabriel Lawin & Arahama Traoré, 2019. "Enhanced Microfinance Services and Agricultural Best Management Practices: What Benefits for Smallholders Farmers? An Evidence from Burkina Faso," CIRANO Working Papers 2019s-11, CIRANO.
    2. Jiaojiao Liu & Gangren Zhang & Jun Zhang & Chongguang Li, 2020. "Human Capital, Social Capital, and Farmers’ Credit Availability in China: Based on the Analysis of the Ordered Probit and PSM Models," Sustainability, MDPI, vol. 12(4), pages 1-18, February.
    3. 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.
    4. Embaye, Weldensie T. & Bergtold, Jason S. & Schwab, Benjamin & Zereyesus, Yacob A., 2018. "Modeling Farm Household’s Productivity under Inseparable Production and Consumption decisions," 2018 Annual Meeting, August 5-7, Washington, D.C. 274226, Agricultural and Applied Economics Association.
    5. Hu, Lifang & Lopez, Rigoberto A. & Zeng, Yinchu, 2020. "Determinants of credit constraints for agricultural wholesalers in China," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 23(4), June.
    6. Li, Changsheng & Lin, Liqiong & Gan, Christopher E.C., 2016. "China credit constraints and rural households’ consumption expenditure," Finance Research Letters, Elsevier, vol. 19(C), pages 158-164.

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