Impact Factors Analysis of Credit Demand of Rural Households in China's Poor Area

DOI

10.2991/febm-16.2016.20How to use a DOI?

Keywords

rural households; credit; probit models; propensity score matching method

Abstract

With micro survey data of 1323 Chinese rural households in poor area, impact factors are analyzed with Probit model. Propensity score matching method is used to estimate the impact of credit on rural household welfare loss. Results indicate that education expenditure and fees for marriage service, medical expenditure and spending on house buildings have significant positive impact on credit demand. Compared with those that do not borrow money, loans significantly impact the welfare loss of rural households. Finally we give some suggestions.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Juan Wang
AU  - Rui Li
PY  - 2016/11
DA  - 2016/11
TI  - Impact Factors Analysis of Credit Demand of Rural Households in China's Poor Area
BT  - Proceedings of the First International Conference Economic and Business Management 2016
PB  - Atlantis Press
SP  - 132
EP  - 136
SN  - 2352-5428
UR  - https://doi.org/10.2991/febm-16.2016.20
DO  - 10.2991/febm-16.2016.20
ID  - Wang2016/11
ER  -