[1]李 奥,桑晨颖,吕勇斌.数字普惠金融与农户家庭过度负债——基于中国家庭金融调查数据的经验分析[J].金融教育研究,2022,(01):15-29+46.
　LI Ao,SANG Chenying,LYU Yongbin.Digital Inclusive Finance and Over-Indebtedness of Rural Households——Empirical Analysis Based on Chinese Household Finance Survey Data[J].,2022,(01):15-29+46.
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数字普惠金融与农户家庭过度负债——基于中国家庭金融调查数据的经验分析()
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《金融教育研究》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2022年01期
页码:
15-29+46
栏目:
金融论坛:数字普惠金融研究
出版日期:
2022-01-25

文章信息/Info

Title:
Digital Inclusive Finance and Over-Indebtedness of Rural Households——Empirical Analysis Based on Chinese Household Finance Survey Data
文章编号:
2095-0098(2022)01-0015-15
作者:
李 奥;  桑晨颖;  吕勇斌
中南财经政法大学 金融学院,湖北 武汉 430073
Author(s):
LI Ao;  SANG Chenying;  LYU Yongbin
School of Economics and Finance,Zhongnan University of Economics and Law,Wuhan,Hubei 430073,China
关键词:
数字金融;  普惠金融;  农户家庭;  过度负债;  数字鸿沟
Keywords:
Digital finance;  Inclusive finance;  Rural households;  Over-indebtedness;  Digital divide
分类号:
F328; F832.1
文献标志码:
A
摘要:
数字技术与普惠金融的深度融合,对家庭经济行为产生深刻影响,为解决农户家庭过度负债难题提供了契机。通过匹配2019年中国家庭金融调查数据(CHFS)和2018年北京大学数字普惠金融指数,构建主客观的农户家庭过度负债指标,来考察数字普惠金融对农户家庭过度负债的影响。研究发现,数字普惠金融的发展显著降低了农户家庭过度负债的概率,这种抑制作用具有异质性,主要通过缩小数字鸿沟、缓解信息不对称的机制渠道来实现,尤其对中西部地区、非贫困县和有非正规信贷需求、风险规避型态度的农户家庭更明显。这说明,数字金融展现出普惠性和包容性的独特优势。上述发现在更换关键变量的度量指标和处理内生性问题后,结果都是稳健的。基于以上研究提出:加强数字基础设施建设,弥补数字鸿沟,促进数字金融包容性发展,使农户家庭控制其债务状况并受益,这对于改善农民生活、实现乡村振兴具有重要的推动作用。
Abstract:
The deep integration of digital technology and inclusive finance has a profound impact on household economic behavior and provides an opportunity to solve the problem of excessive debt of peasant households.Based on the data from the 2019 China Household Finance Survey(CHFS)and the 2018 Digital Financial Inclusion Index of Peking University,this paper investigates the influence of digital finance on over-indebtedness of rural households by constructing the subjective and objective index of over-indebtedness.It is found that the development of digital inclusive finance significantly reduces the probability of excessive debt of peasant households,and this suppression effect is heterogeneous and mainly achieved through the mechanism channels of narrowing the digital divide and alleviating information asymmetry; this is especially true for the rural households in central and western regions,non-poor counties and those with informal credit demand and risk-averse attitude; which shows digital finance's unique advantages of inclusion.These findings were robust after changing the measures of key variables and dealing with endogeneity.Based on the above research,this paper proposes to strengthen the construction of digital infrastructure,bridge the digital divide,and promote the inclusive development of digital finance to help rural households control their debt situation,which will play an important role in improving farmers' lives and realizing rural revitalization.

参考文献/References:

[1]郭峰,王靖一,王芳,等.测度中国数字普惠金融发展:指数编制与空间特征[J].经济学(季刊),2020(4):1401-1418.
[2]张栋浩,尹志超.金融普惠、风险应对与农村家庭贫困脆弱性[J].中国农村经济,2018(4):54-73.
[3]Reinhart C.M.,Rogoff K.S.Is the 2007 US Sub-Prime Financial Crisis So Different?An International Historical Comparison[J].American Economic Review,2008(2):339-44.
[4]马勇,陈雨露.金融杠杆、杠杆波动与经济增长[J].经济研究,2017(6):31-45.
[5]Schularick M.,Taylor A.M.Credit Booms Gone Bust:Monetary Policy,Leverage Cycles,and Financial Crises,1870-2008[J].American Economic Review,2012(2):1029-1061.
[6]Bhamra H.S.,Uppal R.Does Household Finance Matter?Small Financial Errors with Large Social Costs[J].American Economic Review,2019(3):1116-1154.
[7]Agarwal S.,Chua Y.H.FinTech and Household finance:a Review of the Empirical Literature[J].China Finance Review International,2020(4):361-376.
[8]Brainard L.The Use of Distributed Ledger Technologies in Payment,Clearing,and Settlement:A Speech at the Institute of International Finance Blockchain Roundtable,Washington,D.C.,April 14,2016,Board of Governors of the Federal Reserve System(U.S.)[EB/OL].https://fraser.stlouisfed.org/title/3777/item/536849.
[9]Mian A.,Sufi A.,Verner E.Household Debt and Business Cycles Worldwide[J].The Quarterly Journal of Economics,2017(4):1755-1817.
[10]刘贯春,张军,刘媛媛.金融资产配置、宏观经济环境与企业杠杆率[J].世界经济,2018(1):148-173.
[11]纪洋,王旭,谭语嫣,等.经济政策不确定性、政府隐性担保与企业杠杆率分化[J].经济学(季刊),2018(2):449-470.
[12]Basnet H.C.,Donou-Adonsou F.Internet,Consumer Spending,and Credit Card Balance:Evidence from U.S.Consumers[J].Review of Financial Economics,2016(30):11-22.
[13]吴卫星,吴锟,王琎.金融素养与家庭负债——基于中国居民家庭微观调查数据的分析[J].经济研究,2018(1):97-109.
[14]Hong C.Y.,Lu X.,Pan J.FinTech Adoption and Household Risk-Taking[EB/OL].NBER Working Paper 2020,28063,https://www.nber.org/papers/w28063.
[15]Lusardi A.,Tufano P.Debt Literacy,Financial Experiences,and Over-indebtedness[J].Journal of Pension Economics & Finance,2015(4):332-368.
[16]李春涛,闫续文,宋敏,等.金融科技与企业创新——新三板上市公司的证据[J].中国工业经济,2020(1):81-98.
[17]张勋,万广华,张佳佳,等.数字经济、普惠金融与包容性增长[J].经济研究,2019(8):71-86.
[18]尹志超,张栋浩.金融普惠、家庭贫困及脆弱性[J].经济学(季刊),2020(5):153-172.
[19]Gathergood J.Self-control,Financial Literacy and Consumer Over-indebtedness[J].Journal of Economic Psychology,2012(4):590-602.
[20]吴锟,王琎,赵越超.居民家庭的过度负债:度量与特征——来自中国家庭微观调查数据的分析[J].北京工商大学学报(社会科学版),2020(4):103-114.
[21]黄益平,黄卓.中国的数字金融发展:现在与未来[J].经济学(季刊),2018(4):1489-1502.
[22]吴雨,李成顺,李晓,等.数字金融发展对传统私人借贷市场的影响及机制研究[J].管理世界,2020(10):53-64+138+65.
[23]李莉,张宗毅,杜志雄.家庭农场融资需求实证研究:意愿、强度与用途——基于1966家种植业家庭农场数据[J].金融教育研究,2020(2):3-11.
[24]何丽芬,吴卫星,徐芊.中国家庭负债状况、结构及其影响因素分析[J].华中师范大学学报(人文社会科学版),2012(1):59-68.
[25]陈冶国,白凤娇.数字普惠金融对城乡居民收入差距的影响效应研究[J].金融教育研究,2021(5):26-35+80.

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备注/Memo

备注/Memo:
收稿日期:2021-10-09
基金项目:国家社会科学基金项目“空间视角下包容性金融不平衡发展与再平衡发展研究”(18BJL077); 高等学校学科创新引智计划资助(B21038)
作者简介:李 奥(1996—),男,湖南沅陵人,硕士研究生,研究方向为普惠金融; 吕勇斌(通信作者)。
更新日期/Last Update: 2022-01-25