Financial Literacy, Borrowing Behavior and Rural Households’ Income: Evidence from the Collective Forest Area, China

Author:

Guo Yuanyuan,Liu Can,Liu Hao,Chen Ke,He Dan

Abstract

Since the introduction of a series of collective forest tenure reforms in China, diverse forestland mortgage financial products have been available even in rural areas. It is difficult for rural households to make appropriate financial decisions in order to increase their income due to a lack of financial knowledge and relevant skills. It is important to analyze the relationship between financial literacy, borrowing behavior, and rural household income. Based on the learning-by-doing theory, the credit constraint theory, and the data obtained from the survey of 460 households in five rural countries of Liaoning Province, alternative econometric models were used to estimate the “Financial Literacy-Borrowing Behavior-Household Income” transmission channel. The findings reveal that the financial literacy levels are positively associated with household income and that there is an inverted U relationship between them which is low on both sides and high in the middle. In addition, the financial literacy has a significantly positive effect on the farmers’ credit behavior, which in turn promotes their income growth. The results provide a new perspective on the study and a clear explanation of the role of financial literacy in improving the loan amountsavailable in China’s rural areas. The paper concludes with recommendations for policymakers to prioritize financial education that will promote and support credit constraint reduction in collective forest areas.

Funder

China National Forestry Economics and Development Research Center

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3