IDEAS home Printed from https://ideas.repec.org/a/ags/pjemad/309412.html
   My bibliography  Save this article

Determinants of Credit Constraint Among Corn Farmers in Isabela Province, Philippines

Author

Listed:
  • Bathan, Bates M.
  • Gordoncillo, Prudenciano U.

Abstract

The study describes how the demand and preference for agricultural credit is satisfied or not among corn farmers in Isabela, Philippines. It also categorizes farmers as credit unconstrained, quantity rationed, transaction cost rationed or risk rationed individuals, and determines the factors affecting credit constraint. A total of 76 credit unconstrained and 76 credit constrained corn farmers were selected using stratified random sampling. Using probit regression analysis, the significant determinants of credit constraint are age, sex, and monthly household income. Results show that corn farmers who are older, male, or have higher income are less likely to become credit constrained. The main reason cited for being credit constrained in the formal sector is the lack of collateral while for the informal sector, the reason cited is loan application being partially approved.

Suggested Citation

  • Bathan, Bates M. & Gordoncillo, Prudenciano U., 2017. "Determinants of Credit Constraint Among Corn Farmers in Isabela Province, Philippines," Journal of Economics, Management & Agricultural Development, Journal of Economics, Management & Agricultural Development (JEMAD), vol. 3(2), December.
    • Handle: RePEc:ags:pjemad:309412
    DOI: 10.22004/ag.econ.309412
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/309412/files/Determinants%20of%20Credit%20Constraint%20Among%20Corn%20Farmers%20in%20Isabela%20Province%2C%20Philippines.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.309412?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ali, Daniel Ayalew & Deininger, Klaus & Duponchel, Marguerite, 2014. "Credit constraints, agricultural productivity, and rural nonfarm participation : evidence from Rwanda," Policy Research Working Paper Series 6769, The World Bank.
    2. Daniel Ayalew Ali & Klaus Deininger & Marguerite Duponchel, 2014. "Credit Constraints and Agricultural Productivity: Evidence from rural Rwanda," Journal of Development Studies, Taylor & Francis Journals, vol. 50(5), pages 649-665, May.
    3. Stefan Dercon & Pramila Krishnan, 1996. "Income portfolios in rural Ethiopia and Tanzania: Choices and constraints," Journal of Development Studies, Taylor & Francis Journals, vol. 32(6), pages 850-875.
    4. Gerpacio, Roberta V. & Labios, Jocelyn D. & Labios, Romeo V. & Diangkinay, Emma I., 2004. "Maize in the Philippines: Production Systems, Constraints, and Research Priorities," Maize Production Systems Papers 7650, CIMMYT: International Maize and Wheat Improvement Center.
    5. Franklin Simtowe & Manfred Zeller & Aliou Diagne, 2009. "The impact of credit constraints on the adoption of hybrid maize in Malawi," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 90(1), pages 5-22.
    6. Domingo, Sonny N. & Reyes, Celia M., 2009. "Crop Insurance: Security for Farmers and Agricultural Stakeholders in the Face of Seasonal Climate Variability," Discussion Papers DP 2009-12, Philippine Institute for Development Studies.
    7. Boucher, Stephen R. & Guirkinger, Catherine & Trivelli, Carolina, 2006. "Direct Elicitation of Credit Constraints: Conceptual and Practical Issues with an Empirical Application to Peruvian Agriculture," Working Papers 6883, University of California, Davis, Department of Agricultural and Resource Economics.
    Full references (including those not matched with items on IDEAS)

    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. Gamel Abdul-Nasser Salifu, 2019. "The Political Economy Dynamics of Rural Household Income Diversification: A Review of the International Literature," Research in World Economy, Research in World Economy, Sciedu Press, vol. 10(3), pages 273-290, December.
    2. Jiang, Meishan & Paudel, Krishna & Mi, Yunsheng, 2017. "Rural Land Transfer and Financial Impact: Evidence from China," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252853, Southern Agricultural Economics Association.
    3. Jiguang Zhu & Yaru Sun & Yunxing Song, 2022. "Household Livelihood Strategy Changes and Agricultural Diversification: A Correlation and Mechanism Analysis Based on Data from the China Family Panel," Land, MDPI, vol. 11(5), pages 1-18, May.
    4. Balana, B. B. & Mekonnen, D. & Haile, B. & Hagos, Fitsum & Yimam, S. & Ringler, C., 2022. "Demand and supply constraints of credit in smallholder farming: evidence from Ethiopia and Tanzania," Papers published in Journals (Open Access), International Water Management Institute, pages 159:106033..
    5. Peng, Yan-ling & Ren, Yanjun & Li, Hou-jian, 2021. "Do credit constraints affect households' economic vulnerability? Empirical evidence from rural China," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 20(9), pages 2552-2568.
    6. 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.
    7. Sènakpon F.A. Dedehouanou & Dugassa Aichatou Ousseini & Abdoulaziz Laouali Harouna & Jabir Maimounata, 2015. "Spillovers from Off-farm Self-Employment Opportunities in Rural NIGER," Working Papers 2015/03, Maastricht School of Management.
    8. Liqun Shao & Yimeng Zhou & Haibin Chen & Yu Wang, 2020. "Effects of Social Network on Herder Livestock Production Income and the Mediation by Fund Loans," Agriculture, MDPI, vol. 10(12), pages 1-16, December.
    9. 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.
    10. Cosimo Magazzino & Marco Mele & Fabio Gaetano Santeramo, 2021. "Using an Artificial Neural Networks Experiment to Assess the Links among Financial Development and Growth in Agriculture," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    11. Xiao, Wei & Zhao, Guochang, 2020. "Who is affected: Influence of agricultural land on occupational choices of peasants in China," Land Use Policy, Elsevier, vol. 99(C).
    12. Sènakpon F. A. Dedehouanou & John McPeak, 2018. "Diversify more or less? Household resilience and food security in rural Nigeria," Working Papers PMMA 2018-01, PEP-PMMA.
    13. 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.
    14. Porgo, Mohamed & Kuwornu, John K.M. & Zahonogo, Pam & Jatoe, John Baptist D. & Egyir, Irene S., 2018. "Credit constraints and cropland allocation decisions in rural Burkina Faso," Land Use Policy, Elsevier, vol. 70(C), pages 666-674.
    15. Dzanku, Fred Mawunyo, 2018. "The gender and geography of rural off-farm employment and input intensification in five sub-Saharan African countries," Food Policy, Elsevier, vol. 75(C), pages 37-51.
    16. Fred Mawunyo Dzanku, 2020. "Poverty Reduction And Economic Livelihood Mobility In Rural Sub‐Saharan Africa," Journal of International Development, John Wiley & Sons, Ltd., vol. 32(5), pages 636-683, July.
    17. 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.
    18. Lian Ke & Shan Cheng & Diqiang Chen & Ying Li, 2023. "Why Is the Income Effect of Farmland Transfer Inconsistent between Transferred-Out and Transferred-In Households?," Sustainability, MDPI, vol. 15(9), pages 1-19, April.
    19. Bin Zheng & Wenfeng Chen & Hui Zhao, 2021. "The Spatial and Temporal Characteristics of Industry–University Research Collaboration Efficiency in Chinese Mainland Universities," Sustainability, MDPI, vol. 13(23), pages 1-13, November.
    20. Dedehouanou, Sènakpon Fidèle Ange & Araar, Abdelkrim & Ousseini, Aichatou & Harouna, Abdoulaziz Laouali & Jabir, Maimounata, 2018. "Spillovers from off-farm self-employment opportunities in rural Niger," World Development, Elsevier, vol. 105(C), pages 428-442.

    More about this item

    Keywords

    Crop Production/Industries;

    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:ags:pjemad:309412. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/ceuplph.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.