skip to main content
10.1145/3453187.3453355acmotherconferencesArticle/Chapter ViewAbstractPublication PagesebimcsConference Proceedingsconference-collections
research-article

Influence Mechanism of the Correlation between Investment and Output of Co-guarantee Farmers

Authors Info & Claims
Published:24 March 2021Publication History

ABSTRACT

Due to the relatively simple structure of agricultural industry in the same region, investment and output of co-guarantee farmers tend to show a high positive correlation. From the perspective of expected return of lending financial institutions, this paper uses mathematical tools like probability theory to comparatively analyze the influence mechanism of investment-output correlation on farmer co-guarantee loans. The result shows that when the investment is positively correlated with output, the farmer social guarantee mechanism can hardly function effectively, making the expected return of lending institutions lower than the level under independent output; cross-guarantee of farmers from different businesses or industries can reduce the positive correlation between investment and output to a certain extent, thereby increasing the expected return of lending institutions. Finally, in view of the difficulty in smooth implementation of the cross-guarantee loan model among farmers, this paper points out that lending institutions can rationally design co-guarantee loan contracts to encourage borrowing farmers to invest in low-risk production projects for safety, thereby reducing dependence on social guarantee when it is difficult to weaken positive output correlation.

References

  1. Chen Ling (2008): "Game Analysis of Factors Affecting Repayment in the Model of Farmer Co-guarantee Loan---and the Significance for Postal Savings Bank", "Journal of Beijing University of Posts and Telecommunications (Social Science Edition)" Issue 2.Google ScholarGoogle Scholar
  2. Lei Chunzhu (2005): "Discussion on Expanding Farmer Cross-guarantee Loan Business", "Financial Theory & Practice" Issue 3.Google ScholarGoogle Scholar
  3. Ahlin, C. and Townsend, R.M. "Selection into and across credit contracts: theory and field research." Journal of Econometrics, 2007, 136, pp. 665--698.Google ScholarGoogle ScholarCross RefCross Ref
  4. Guttman, J.M. "Assortative matching, adverse selection, and group lending." Journal of Development Economics, 2008, 87, pp. 51--56.Google ScholarGoogle ScholarCross RefCross Ref
  5. Ghatak, M. "Group lending, local information, and peer selection." Journal of Development Economics, 1999, 60, pp. 27--50.Google ScholarGoogle ScholarCross RefCross Ref
  6. Ghatak, M. "Screening by the company you keep: joint liability lending and the peer selection effect." Economic Journal, 2000, 115, pp. 601--631.Google ScholarGoogle ScholarCross RefCross Ref
  7. Holmstrom, B. and Milgrom, P. "Regulating trade among agents." Journal of Institutional and Theoretical Economics, 1990, 146(1), pp. 85--105.Google ScholarGoogle Scholar
  8. Katzur, T. and Lensink, R. "Group lending with correlated project outcomes." Economics Letters, 2012, 117, pp. 445--447.Google ScholarGoogle ScholarCross RefCross Ref
  9. Laffont, J.J. "Collusion and group lending with adverse selection." Journal of Development Economics, 2003, 70, pp. 329--348.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Influence Mechanism of the Correlation between Investment and Output of Co-guarantee Farmers

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      EBIMCS '20: Proceedings of the 2020 3rd International Conference on E-Business, Information Management and Computer Science
      December 2020
      718 pages
      ISBN:9781450389099
      DOI:10.1145/3453187

      Copyright © 2020 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 24 March 2021

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed limited

      Acceptance Rates

      EBIMCS '20 Paper Acceptance Rate112of566submissions,20%Overall Acceptance Rate143of708submissions,20%
    • Article Metrics

      • Downloads (Last 12 months)4
      • Downloads (Last 6 weeks)0

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader