Access to Credit by Traders in Chinese Agricultural Wholesale Markets
Lifang Hu (),
Yinchu Zeng () and
Rigoberto Lopez
No 235449, 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts from Agricultural and Applied Economics Association
Abstract:
Using national survey data on 1422 traders in 18 Chinese wholesale markets, we employ a probit model with sample selection to estimate the determinants of agricultural traders’ credit constraints. The econometric analysis shows that application costs that are highly related to social networks and imperfect screening of applicants by financial institutions both discourage potential borrowers and may make them become “self-rationing.” Credit-constrained traders account for 38.78% of traders seeking loans. The empirical results demonstrate that the probability of being credit-constrained is significantly lower for corporations, traders who have higher value assets, traders with more social networks, and traders in a better micro-finance environment.
Keywords: Agribusiness; Agricultural Finance (search for similar items in EconPapers)
Pages: 25
Date: 2016-05
New Economics Papers: this item is included in nep-tra
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/235449/files/A ... s-2016AAEA-P9824.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea16:235449
DOI: 10.22004/ag.econ.235449
Access Statistics for this paper
More papers in 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().