Self-Employment, Credit Demand and Credit Constraints: Evidence from China

Jan Klingelhöfer, Rongrong Sun (Lead / Corresponding author)

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper builds a three-stage sequential logit model to examine bank credit demand and constraints faced by non-agricultural self-employed households in China. Our analysis reveals a stark reality: In 2013 and 2015, over half of self-employed households seeking bank loans faced credit constraints, either discouraged from applying or rejected by banks. While we found no evidence of gender or age discrimination in loan approvals, factors like wealth, saving status, education and financial literacy significantly impact the likelihood of credit demand, application, and granting. Notably, less wealthy and less-educated households are significantly more likely to be credit constrained, highlighting the need for targeted policy interventions to promote self-employment. Furthermore, our findings suggest that informal loans often supplement bank loans in financing self-employment businesses, implying a potential underestimate of credit constraints in the bank credit market.

Session ID 66: Empirical Finance III
Original languageEnglish
Publication statusPublished - 9 Jun 2024
EventConference of the International Association for Applied Econometrics (IAAE) 2024 Annual Conference - Wang Yanan Institute for Studies in Economics, Xiamen University, Xiamen, China
Duration: 7 Jun 20249 Jun 2024
https://conf.xmu.edu.cn/iaae2024/ (IAAE 2024 Annual Conference information)

Conference

ConferenceConference of the International Association for Applied Econometrics (IAAE) 2024 Annual Conference
Abbreviated titleIAAE 2024 Annual Conference
Country/TerritoryChina
CityXiamen
Period7/06/249/06/24
Internet address

Keywords

  • self-employment
  • credit demand
  • credit constraints
  • sequential logit model

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