IDEAS home Printed from https://ideas.repec.org/p/anf/wpaper/1.html

Does the quality of land records affect credit access of households in India?

Author

Listed:
  • Susan Thomas

    (xKDR)

  • Diya Uday

    (xKDR)

Abstract

Under-utilisation of land as collateral for loans is often attributed to the poor quality of the land records infrastructure, which is seen to both increase the cost of closing credit transactions and the risk in collection if a loan fails. In this paper, we examine the link between the heterogeneity of the quality of the land records infrastructure across states and the access to credit by households in these states using two new data-sets for the analysis. The state-level variation in land record quality is measured using the NCAER Land Records Services Index score while the Consumer Pyramids household data is used to capture household borrowing. Our findings are that there is a weak link between the borrowing patterns of households and quality of land records infrastructure, particularly the availability of spatial records. However, it does not appear that this is sufficient to capture the extent to which households are able to access credit from formal financial sources.

Suggested Citation

  • Susan Thomas & Diya Uday, 2021. "Does the quality of land records affect credit access of households in India?," Working Papers 1, xKDR.
  • Handle: RePEc:anf:wpaper:1
    as

    Download full text from publisher

    File URL: https://papers.xkdr.org/papers/thomasUday2021_lrsiAndHouseholdBorrowing.pdf
    File Function: First version, 2021
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Deininger, Klaus & Goyal, Aparajita, 2012. "Going digital: Credit effects of land registry computerization in India," Journal of Development Economics, Elsevier, vol. 99(2), pages 236-243.
    2. Timberg, Thomas A & Aiyar, C V, 1984. "Informal Credit Markets in India," Economic Development and Cultural Change, University of Chicago Press, vol. 33(1), pages 43-59, October.
    3. Pradhan, Narayan, 2013. "Persistence of Informal Credit in Rural India: Evidence from ‘All-India Debt and Investment Survey’ and Beyond," MPRA Paper 80381, University Library of Munich, Germany.
    4. Daniel Domeher & Raymond Abdulai, 2012. "Access to Credit in the Developing World: does land registration matter?," Third World Quarterly, Taylor & Francis Journals, vol. 33(1), pages 161-175.
    5. Soontaree Sakprachawut & Damien Jourdain, 2016. "Land titles and formal credit in Thailand," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 76(2), pages 270-287, July.
    6. K.P. Krishnan & Venkatesh Panchapagesan & Madalasa Venkataraman, 2016. "Distortions in Land Markets and their Implications to Credit Generation in India," Working Papers id:10562, eSocialSciences.
    7. Sudha Narayanan & Judhajit Chakraborty, 2019. "Land as collateral in India," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2019-006, Indira Gandhi Institute of Development Research, Mumbai, India.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Brijkumar Aggarwal & Diya Uday, 2023. "Technology in Land Administration," Working Papers 27, xKDR.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chakraborty, Pallabi & Mahanta, Amarjyoti, 2024. "The role of financial and physical assets as substitute or complementary to land as collateral in credit market: Evidence from Indian households," Economic Systems, Elsevier, vol. 48(2).
    2. Remya Tressa Jacob & Rudra Sensarma & Gopakumaran Nair, 2022. "Is rural household debt sustainable in a financially included region? Evidence from three districts of Kerala, India," Oxford Development Studies, Taylor & Francis Journals, vol. 50(4), pages 389-405, October.
    3. Deininger, Klaus & Xia, Fang & Kilic, Talip & Moylan, Heather, 2021. "Investment impacts of gendered land rights in customary tenure systems: Substantive and methodological insights from Malawi," World Development, Elsevier, vol. 147(C).
    4. Nozilakhon Mukhamedova & Richard Pomfret, 2019. "Why Does Sharecropping Survive? Agrarian Institutions and Contract Choice in Kazakhstan and Uzbekistan," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 61(4), pages 576-597, December.
    5. Kanika Rana & Brinda Viswanathan, 2019. "Household Choice of Financial Borrowing and Its Source: Multinomial Probit Model with Selection," Working Papers 2019-181, Madras School of Economics,Chennai,India.
    6. Dalla Pellegrina, Lucia, 2011. "Microfinance and Investment: A Comparison with Bank and Informal Lending," World Development, Elsevier, vol. 39(6), pages 882-897, June.
    7. Ghosh, Saibal & Kumar, Rakesh, 2014. "Monetary policy and informal finance: Is there a pecking order?," MPRA Paper 65243, University Library of Munich, Germany.
    8. Liu, Shouying & Ma, Sen & Yin, Lijuan & Zhu, Jiong, 2023. "Land titling, human capital misallocation, and agricultural productivity in China," Journal of Development Economics, Elsevier, vol. 165(C).
    9. Alvaro Aguirre, 2017. "Contracting Institutions and Economic Growth," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 24, pages 192-217, March.
    10. 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.
    11. Roy, Sanchari, 2015. "Empowering women? Inheritance rights, female education and dowry payments in India," Journal of Development Economics, Elsevier, vol. 114(C), pages 233-251.
    12. Baur, Dirk G. & Gopalakrishnan, Balagopal & Mohapatra, Sanket, 2025. "Alternative investment behavior of households during crises: The effects of the COVID-19 shock on gold purchases in India," Journal of Economic Behavior & Organization, Elsevier, vol. 229(C).
    13. Manara, Martina & Pani, Erica, 2023. "Institutional work: how lenders transform land titles into collateral in urban Tanzania," LSE Research Online Documents on Economics 120208, London School of Economics and Political Science, LSE Library.
    14. repec:ilo:ilowps:408917 is not listed on IDEAS
    15. Ali, Daniel Ayalew & Deininger, Klaus & Goldstein, Markus, 2014. "Environmental and gender impacts of land tenure regularization in Africa: Pilot evidence from Rwanda," Journal of Development Economics, Elsevier, vol. 110(C), pages 262-275.
    16. Daniel Domeher, 2012. "Land rights and SME credit: evidence from Ghana," International Journal of Development Issues, Emerald Group Publishing Limited, vol. 11(2), pages 129-143, June.
    17. Nguyen, Cuong & Van den Berg, Marrit, 2008. "The impact of Micro-credit and Informal Credit on Poverty and Inequality in Vietnam," MPRA Paper 107151, University Library of Munich, Germany.
    18. Saibal Ghosh, 2020. "Access to and use of finance in India: does religion matter?," Indian Economic Review, Springer, vol. 55(1), pages 67-92, June.
    19. Joseph Wang'ondu Kariuki & Dr. Winifred N. Karugu & Mr. Martin Okode Opiyo, 2018. "Challenges Facing Digitization Projects In Kenya: Case Of Implementation Of National Land Information Management System," International Journal of Technology and Systems, IPRJB, vol. 3(1), pages 23-42.
    20. beg, Sabrin, 2019. "Computerization and Development: Formalizing Property Rights and its Impact on Land and Labor Allocation," MPRA Paper 96110, University Library of Munich, Germany.
    21. Ullah, Inayat & Hussain, Saqib, 2023. "Impact of early access to land record information through digitization: Evidence from Alternate Dispute Resolution Data in Punjab, Pakistan," Land Use Policy, Elsevier, vol. 134(C).

    More about this item

    JEL classification:

    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • G2 - Financial Economics - - Financial Institutions and Services
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • R5 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:anf:wpaper:1. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Ami Dagli (email available below). General contact details of provider: https://www.papers.xkdr.org/ .

    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.