IDEAS home Printed from https://ideas.repec.org/a/oup/apecpp/v35y2013i3p508-527..html
   My bibliography  Save this article

The Impact of Credit Constraints on Farm Households: Survey Results from India and China

Author

Listed:
  • Chandra S. Kumar
  • Calum G. Turvey
  • Jaclyn D. Kropp

Abstract

India and China have the largest farm-household populations in the world—populations that are also among the poorest. Among the many factors that affect farm livelihoods, access to credit has been identified as a significant barrier preventing the escape from poverty. While there has been significant research on credit constraints in developing countries, there is surprisingly little information pertaining to the actual impacts of credit constraints on household well-being. The objective of this paper is to investigate the impacts of credit constraints on various factors affecting farm households, such as physical and human capital formation, agricultural inputs applications, consumption smoothing, and wage-seeking behavior using direct elicitation. This paper contributes to the literature and policy debates by comparing the effects of credit constraints in China and India as surveyed in 2008–2009. The analytical results and data demonstrate that binding credit constraints adversely affect a broad range of production and livelihood choices. We empirically show that credit constraints negatively affect food consumption, farm input applications, and health and educational attainments.

Suggested Citation

  • Chandra S. Kumar & Calum G. Turvey & Jaclyn D. Kropp, 2013. "The Impact of Credit Constraints on Farm Households: Survey Results from India and China," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 35(3), pages 508-527.
  • Handle: RePEc:oup:apecpp:v:35:y:2013:i:3:p:508-527.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/aepp/ppt002
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Wang, J. & Bi, S. & Lyu, K. & Zhang, C., 2018. "Does Formal Credit Constraint Restrain Agricultural Production?," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277536, International Association of Agricultural Economists.
    3. 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.
    4. Turvey, C. G., 2017. "IFAD RESEARCH SERIES 10 - Inclusive finance and inclusive rural transformation," IFAD Research Series 280048, International Fund for Agricultural Development (IFAD).
    5. Marup Hossain & Mohammad Abdul Malek & Amzad Hossain & Hasib Reza & Shakil Ahmed, 2016. "Impact Assessment of Credit Program for Tenant Farmers in Bangladesh: Evidence from a Field Experiment," CIRJE F-Series CIRJE-F-1025, CIRJE, Faculty of Economics, University of Tokyo.
    6. Shiferaw, K. & Gebremedhin, B. & Tegegne, A. & Hoekstra, D., 2018. "Analysis of milk production, butter marketing and household use of inputs in rural Ethiopia," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277104, International Association of Agricultural Economists.
    7. Sabasi, Darlington & Kompaniyets, Lyudmyla, 2015. "Impact of credit constraints on profitability and productivity in U.S. agriculture," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205689, Agricultural and Applied Economics Association.
    8. Siyu Yang & Feng Zhang, 2023. "The Impact of Agricultural Machinery Socialization Services on the Scale of Land Operation: Evidence from Rural China," Agriculture, MDPI, vol. 13(8), pages 1-22, August.
    9. Abbas Ali Chandio & Yuansheng Jiang & Abdul Rehman, 2018. "Credit margin of investment in the agricultural sector and credit fungibility: the case of smallholders of district Shikarpur, Sindh, Pakistan," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 4(1), pages 1-10, December.
    10. Mukasa Adamon N. & Anthony M. Simpasa & Adeleke Oluwole Salami, 2017. "Working Paper 247 - Credit constraints and farm productivity: Micro-level evidence from smallholder farmers in Ethiopia," Working Paper Series 2356, African Development Bank.
    11. Narayan Prasad Nagendra & Gopalakrishnan Narayanamurthy & Roger Moser, 2022. "Satellite big data analytics for ethical decision making in farmer’s insurance claim settlement: minimization of type-I and type-II errors," Annals of Operations Research, Springer, vol. 315(2), pages 1061-1082, August.
    12. Shee, Apurba & Pervez, Shadayen & Turvey, Calum G., 2018. "Heterogeneous Impacts of Credit Rationing on Agricultural Productivity: Evidence from Kenya," 2018 Annual Meeting, August 5-7, Washington, D.C. 274224, Agricultural and Applied Economics Association.
    13. Zhao Jianmei, 2021. "Formal Credit Constraint and Prevalence of Reciprocal Loans in Rural China," Open Economics, De Gruyter, vol. 4(1), pages 1-13, January.
    14. 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.
    15. Mengna Lu & Yuan Qi & Jiaqing Zhang & Daolin Zhu, 2023. "The Impact of Rural Credit on Cultivated Land Use Efficiency: An Empirical Analysis Using China Rural Revitalization Survey Data," Land, MDPI, vol. 12(11), pages 1-16, October.
    16. Chai, Nana & Shi, Baofeng & Hua, Yiting, 2023. "Loss given default or default status: Which is better to determine farmers’ credit ratings?," Finance Research Letters, Elsevier, vol. 53(C).
    17. Martinson Ankrah Twumasi & Yuansheng Jiang & Evans B. Ntiamoah & Selorm Akaba & Kwabena N. Darfor & Linda K. Boateng, 2022. "Access to credit and farmland abandonment nexus: The case of rural Ghana," Natural Resources Forum, Blackwell Publishing, vol. 46(1), pages 3-20, February.
    18. Zhang, Jiaping & Zhang, Huirong & Gong, Xiaomei, 2022. "Mobile payment and rural household consumption: Evidence from China," Telecommunications Policy, Elsevier, vol. 46(3).
    19. T. O Ojo & L.J. S Baiyegunhi & A. O Salami, 2019. "Impact of Credit Demand on the Productivity of Rice Farmers in South West Nigeria," Journal of Economics and Behavioral Studies, AMH International, vol. 11(1), pages 166-180.
    20. Jude I. Iziga & Shingo Takagi, 2022. "Food Consumption–Production Adjustments to Economic Crises under Credit Constraints in Nigeria," Sustainability, MDPI, vol. 14(14), pages 1-25, July.
    21. 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.
    22. Yao, Ling, 2023. "Agricultural Mechanization and Structural Transformation in China," 2023 Annual Meeting, July 23-25, Washington D.C. 335642, Agricultural and Applied Economics Association.
    23. Shrestha, Rudra Bahadur & Huang, Wen- Chi & Pradhan, Upasana, 2017. "Evaluating The Technical Efficiency Of Smallholder Vegetable Farms In Diverse Agroecological Regions Of Nepal," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 5(1), January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:apecpp:v:35:y:2013:i:3:p:508-527.. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.