IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i4p1583-d322889.html
   My bibliography  Save this article

Human Capital, Social Capital, and Farmers’ Credit Availability in China: Based on the Analysis of the Ordered Probit and PSM Models

Author

Listed:
  • Jiaojiao Liu

    (College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, China)

  • Gangren Zhang

    (College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, China
    College of Business, Huanggang Normal University, Huanggang 438000, China)

  • Jun Zhang

    (College of Business Administration, Hubei University of Economics, Wuhan 430205, China)

  • Chongguang Li

    (College of Economics and Management, Huazhong Agricultural University, Wuhan 430070, China)

Abstract

Rural credit is very important to the increase of farmers’ income and the development of rural economy, and it has attracted wide attention from scholars. Many scholars have paid attention to the impact of social capital on farmers’ credit availability, but the research conclusions have not yet been unified. In addition, human capital is also one of the important factors that scholars pay attention to. However, the research mainly focuses on farmer education and pays less attention to their health. Based on the China Household Income Project (CHIP2013) database, we evaluated the impact of human capital (education and health of farmers) and social capital on the credit availability of farmers. To ensure the robustness of our results, we used both the ordered probit model and the propensity score matching (PSM) model to carry out the estimations. Therefore, the study not only improves the research framework of the impact of human capital on farmers’ credit availability, but also uses a more accurate method to estimate the net impact of social capital on farmers’ credit availability. The results showed that, firstly, in terms of human capital, farmers’ educational and health levels have a significant positive impact on their formal credit availability, but no significant impact on their informal credit availability. In particular, farmers with a high school education or above are more likely to obtain a formal loan. Secondly, in terms of social capital, interpersonal relationship capital and political relationship capital are beneficial for farmers obtaining loans from formal and informal channels. Organizational relationship capital only has a more significant positive impact on the informal credit availability of farmers. These results imply that formal financial institutions not only pay attention to farmers’ human capital but also their social capital to reduce the risk of lending. However, informal lenders, that is, relatives or friends, pay more attention to the social capital of farmers.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:4:p:1583-:d:322889
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/4/1583/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/4/1583/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tensie Steijvers & Wim Voordeckers, 2009. "Collateral And Credit Rationing: A Review Of Recent Empirical Studies As A Guide For Future Research," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 924-946, December.
    2. 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.
    3. 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.
    4. 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.
    5. Anni Heikkilä & Panu Kalmi & Olli-Pekka Ruuskanen, 2016. "Social Capital and Access to Credit: Evidence from Uganda," Journal of Development Studies, Taylor & Francis Journals, vol. 52(9), pages 1273-1288, September.
    6. Quoc Hoang Dinh & Thomas Bernhard Dufhues & Gertrud Buchenrieder, 2012. "Do Connections Matter? Individual Social Capital and Credit Constraints in Vietnam," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 24(3), pages 337-358, July.
    7. Jianmei Zhao & Peter J. Barry, 2014. "Effects of credit constraints on rural household technical efficiency," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 6(4), pages 654-668, October.
    8. Joseph D. Malual & Robert E. Mazur, 2017. "Social capital and access to credit in post-conflict Lira, northern Uganda," Community Development, Taylor & Francis Journals, vol. 48(4), pages 566-581, August.
    9. Long Qin & Ruoen Ren & Qinghai Li, 2018. "The Dual Threshold Limit of Financing and Formal Credit Availability with Chinese Rural Households: An Investigation Based on a Large Scale Survey," Sustainability, MDPI, vol. 10(10), pages 1-18, October.
    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. DunGang Zang & Krishna P. Paudel & Yan Liu & Dan Liu & Yating He, 2023. "Financial decision-making behaviors of Ethnic Tibetan Households based on mental accounting," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-26, December.
    2. Anh, Nguyen Tuan & Gan, Christopher & Anh, Dao Le Trang, 2022. "Multi-market credit rationing: The determinants of and impacts on farm performance in Vietnam," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 159-173.

    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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..
    8. 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.
    9. Hu, Lifang & Lopez, Rigoberto A. & Zeng, Yinchu, 2020. "Determinants of credit constraints for agricultural wholesalers in China," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 23(4), June.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Zhang, Jiaping & Zhang, Huirong & Gong, Xiaomei, 2022. "Mobile payment and rural household consumption: Evidence from China," Telecommunications Policy, Elsevier, vol. 46(3).
    15. 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.
    16. 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).
    17. 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.
    18. 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.
    19. 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.
    20. 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.

    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:gam:jsusta:v:12:y:2020:i:4:p:1583-:d:322889. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.