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The credit rationing of Chinese rural households and its welfare loss: An investigation based on panel data

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  • Li, Rui
  • Li, Qinghai
  • Huang, Shaoan
  • Zhu, Xi

Abstract

We examined the impact of credit rationing on the net income and consumption of Chinese rural households by studying survey panel data from 1000 Chinese rural households from 2003 to 2009. Our results revealed that 61.5% of Chinese rural households were rationed in the credit market; 52.0% were completely rationed and 9.5% were partially rationed. Furthermore, this credit rationing caused a 15.7% loss in net income and an 18.2% loss in consumption expenditure for these rural households in China.

Suggested Citation

  • Li, Rui & Li, Qinghai & Huang, Shaoan & Zhu, Xi, 2013. "The credit rationing of Chinese rural households and its welfare loss: An investigation based on panel data," China Economic Review, Elsevier, vol. 26(C), pages 17-27.
  • Handle: RePEc:eee:chieco:v:26:y:2013:i:c:p:17-27
    DOI: 10.1016/j.chieco.2013.03.004
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    Cited by:

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    2. Tran, Minh Chau & Gan, Christopher & Hu, Baiding, 2014. "Credit Constraints and Impact on Farm Household Welfare: Evidence from Vietnam’s North Central Coast region," 2014 Conference, August 28-29, 2014, Nelson, New Zealand 187495, New Zealand Agricultural and Resource Economics Society.
    3. Weisong Qiu & Tieqi Wu & Peng Xue, 2022. "Can Mobile Payment Increase Household Income and Mitigate the Lower Income Condition Caused by Health Risks? Evidence from Rural China," IJERPH, MDPI, vol. 19(18), pages 1-15, September.
    4. Xiaofeng Lv & Gupeng Zhang & Xinkuo Xu & Qinghai Li, 2017. "Bootstrap-calibrated empirical likelihood confidence intervals for the difference between two Gini indexes," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(2), pages 195-216, June.
    5. Adewale Isaac Olutumise, 2023. "Impact of credit on the climate adaptation utilization among food crop farmers in Southwest, Nigeria: application of endogenous treatment Poisson regression model," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-19, December.
    6. Fungáčová, Zuzana & Weill, Laurent, 2015. "Understanding financial inclusion in China," China Economic Review, Elsevier, vol. 34(C), pages 196-206.
    7. Liqiong Lin & Weizhuo Wang & Christopher Gan & Quang T. T. Nguyen, 2019. "Credit Constraints on Farm Household Welfare in Rural China: Evidence from Fujian Province," Sustainability, MDPI, vol. 11(11), pages 1-19, June.
    8. Li, Qinghai & Yu, Yangcheng & Li, Yanru & Sun, Guanglin, 2023. "Heterogeneous Social network shape ability and willingness of rural residents to repay loans in China," Research in International Business and Finance, Elsevier, vol. 65(C).
    9. Li, Rui & Li, Qinghai & Lv, Xiaofeng & Zhu, Xi, 2019. "The land rental of Chinese rural households and its welfare effects," China Economic Review, Elsevier, vol. 54(C), pages 204-217.
    10. Jin, Yanhong & Fan, Maoyong & Cheng, Mingwang & Shi, Qinghua, 2014. "The economic gains of cadre status in rural China: Investigating effects and mechanisms," China Economic Review, Elsevier, vol. 31(C), pages 185-200.
    11. Jiang Du & Miao Zeng & Zhengjuan Xie & Shikun Wang, 2019. "Power of Agricultural Credit in Farmland Abandonment: Evidence from Rural China," Land, MDPI, vol. 8(12), pages 1-14, December.
    12. Qian, Zongxin & Tu, Yonghong & Zhou, Zinan, 2022. "The impact of financial development on the income and consumption levels of China’s rural residents," Journal of Asian Economics, Elsevier, vol. 83(C).
    13. Yusuf Ibrahim Kofarmata & Abubakar Hamid Danlami, 2021. "A micro-level analysis of the intensity of agricultural finance supply in Nigeria: empirical evidence," SN Business & Economics, Springer, vol. 1(1), pages 1-17, January.
    14. Yuanyuan Guo & Can Liu & Hao Liu & Ke Chen & Dan He, 2023. "Financial Literacy, Borrowing Behavior and Rural Households’ Income: Evidence from the Collective Forest Area, China," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    15. Nan Zhou & Wenli Cheng & Longyao Zhang, 2022. "Stepping Stone: The Logic of Financial Inclusion through Microcredit in Rural China," Monash Economics Working Papers 2022-15, Monash University, Department of Economics.
    16. Balana, Bedru & Oyeyemi, Motunrayo, 2021. "Credit Constraints and Adoption of Agricultural Technologies in Developing Countries? Evidence from Nigeria," 2021 Conference, August 17-31, 2021, Virtual 315347, International Association of Agricultural Economists.
    17. Tian, Qing & Holland, John H. & Brown, Daniel G., 2016. "Social and economic impacts of subsidy policies on rural development in the Poyang Lake Region, China: Insights from an agent-based model," Agricultural Systems, Elsevier, vol. 148(C), pages 12-27.
    18. Zhao, Chunkai & Wu, Yaqian & Guo, Jianhao, 2022. "Mobile payment and Chinese rural household consumption," China Economic Review, Elsevier, vol. 71(C).
    19. Martinson Ankrah Twumasi & Abbas Ali Chandio & Ghulam Raza Sargani & Isaac Asare & Huaquan Zhang, 2022. "Off-Farm Employment and Agricultural Credit Fungibility Nexus in Rural Ghana," Sustainability, MDPI, vol. 14(15), pages 1-15, July.
    20. Li, Xingguang & Huo, Xuexi, 2021. "Impacts of land market policies on formal credit accessibility and agricultural net income: Evidence from China's apple growers," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    21. Oliphant, Wesley & Ma, Hong, 2021. "Applying Behavioral Economics to microcredit in China’s rural areas," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
    22. Eusébio, Gabriela Dos Santos & Gori-Maia, Alexandre & Silveira, Rodrigo Lanna F., 2017. "Measuring the Farm Level Impact of Rural Credit: A Two-stage Approach," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258551, Agricultural and Applied Economics Association.
    23. Xiaofeng Lv & Gupeng Zhang & Xinkuo Xu & Qinghai Li, 2017. "Bootstrap-calibrated empirical likelihood confidence intervals for the difference between two Gini indexes," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(2), pages 195-216, June.

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    More about this item

    Keywords

    Credit rationing; Welfare loss; Panel data; Bivariate probit model;
    All these keywords.

    JEL classification:

    • Q14 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Finance
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers

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