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金融研究  2024, Vol. 523 Issue (1): 56-75    
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互联网理财、财富效应与居民消费——来自互联网平台居民理财行为的微观证据
杨雅鑫, 宋科, 张劲帆
中国人民大学国际货币研究所/新加坡国立大学房地产研究院,北京 117602;中国人民大学财政金融学院/中国财政金融政策研究中心/金融科技研究所,北京 100872;香港中文大学(深圳)经济管理学院/中国人民大学国际货币研究所,深圳 518040
Online Wealth Management, Wealth Effect, and Consumption: Evidence from the Internet Platform Users' Wealth Management Behavior
YANG Yaxin, SONG Ke, ZHANG Jinfan
International Monetary Institute, Renmin University of China; Institute of Real Estate and Urban Studies, National University of Singapore; School of Finance, Renmin University of China; FinTech Institute, China Financial Policy Research Center, Renmin University of China; School of Management and Economics, The Chinese University of Hong Kong, Shenzhen
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摘要 随着金融科技迅速发展,可充分挖掘并发挥互联网理财推动居民消费增长、扩大内需方面作用。本文基于经典财富效应理论,从支付宝平台随机抽取约3万个活跃用户的理财行为数据,实证分析互联网理财对居民消费的影响。结果表明:①互联网理财投资收益能够有效促进居民消费,具有显著的财富效应,且此效应在电商消费层面更为显著。基于中国家庭金融调查数据(CHFS)的交叉验证结果表明,该结论具有较强的稳健性;②中介机制分析表明,互联网理财主要通过优化收入结构来促进居民消费;③互联网理财的财富效应并不存在明显的下沉效应;④互联网理财能够提高居民发展享受型消费在电商消费中的占比,显著推动居民消费结构升级。本文为进一步优化收入结构、促进居民消费升级,提供了有益的经验证据和政策启示。
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杨雅鑫
宋科
张劲帆
关键词:  互联网理财  收入结构  财富效应  电商消费  消费升级    
Summary:  Against the backdrop of a sluggish global economy and pervasive uncertainties, understanding the micro-decision-making mechanism of residents' consumption is critical to unleash consumption potential, promote consumption upgrades, stimulate domestic demand, and foster high-quality economic development. Financial investment serves as a pivotal tool for consumers to smooth consumption throughout their lives. Premised on financial market frictions, investment income from financial assets emerges as a significant source of property income, demonstrating a greater marginal propensity to consume compared with wage and household business incomes, thereby inducing a wealth effect. With the popularization of mobile Internet and the rapid development of digital finance, residents increasingly engage with online wealth management products via Fintech platforms, facilitating their participation in financial markets and accumulation of property income.
Based on the classical wealth effect theory, this study randomly selects the financial behavior and consumption behavior data of about 30,000 active users from a unicorn-level Fintech platform in China—Alipay—and analyzes the impact of online wealth management on residents' consumption expenditure and consumption structure. The main conclusions are as follows. (1) Online wealth management investment income significantly promotes residents' consumption, especially e-commerce consumption. This may be by allowing consumers to quickly switch between wealth management and e-commerce apps through smartphones, and through shortening the time lag of the conversion of online wealth management investment income into consumption. After resolving the potential endogeneity problem using the DML model and by using consumption expenditure growth rate as the explained variable, the empirical results still show that online wealth management investment income significantly promotes household consumption, especially e-commerce consumption. (2) As the sample comes from a Fintech platform and does not represent participants in the wider economy and society, to verify the robustness and reliability of the benchmark results we further use data from the China Household Financial Survey 2019 (CHFS-2019) for cross-validation. The empirical results still verify that online wealth management investment income significantly promotes household consumption expenditure, especially e-commerce consumption, indicating that the wealth effect of online wealth management is robust. Furthermore, the results of intermediary mechanism analysis show that online wealth management investment income promotes residents' consumption by optimizing the income structure. (3) Focusing on the extent of the wealth effect among the sinking population, when the explained variable is consumption expenditure, the coefficient of the interaction between online wealth management investment income and the degree of sinking changes from negative to positive as the degree of sinking increases, but the change is not significant. Therefore, the wealth effect of online wealth management does not have a significant sinking effect. (4) To further promote high-quality development, it is necessary not only to effectively improve residents' consumption expenditure but also to upgrade their consumption structure. Based on this, we further study the impact of online wealth management investment income on the upgrading of residents' consumption structure from a structural perspective. The results show that online wealth management investment income has a significant promoting effect on residents' expenditure on various goods on e-commerce platforms, and it has a particularly significant positive impact on the proportion of development and leisure consumption, which helps to promote the upgrading of residents' consumption structure.
Compared with previous studies, the possible marginal contributions of this article are as follows. (1) Based on micro-data, namely individuals' monthly online wealth management and consumption behavior on a unicorn-level Fintech platform, the study verifies the wealth effect of online wealth management and further explores the heterogeneity of this effect among sinking groups such as rural residents, people in western regions, and residents in third-tier cities. (2) The study expands the research perspective on the wealth effect of online wealth management from that of consumption expenditure to that of consumption structure, and explores the heterogeneous impact of online wealth management investment income on basic, development, and leisure consumption, providing useful empirical evidence to further standardize the development of online wealth management in its current development stage and promote the upgrading of residents' consumption. (3) The study uses CHFS-2019 data to conduct cross-validation on the wealth effect of online wealth management, and further reveals the mechanism by which online wealth management promotes consumption, i.e., by optimizing residents' income structure.
Keywords:  Online Wealth Management    Income Structure    Wealth Effect    e-Commerce Consumption    Consumption Upgrade
JEL分类号:  D12   E21   G51  
基金资助: *本文感谢国家社科基金重大项目(21&ZD116)、国家自然科学基金项目(71733004)的资助。感谢数字经济开放研究平台的支持(www.deor.org.cn)。文中所用数据均为抽样和脱敏后在蚂蚁开放研究实验室分析,作者仅通过远程访问蚂蚁集团域内实验室开展实证分析。感谢匿名审稿人的宝贵意见,文责自负。
通讯作者:  宋科,经济学博士,教授,中国人民大学财政金融学院,中国人民大学中国财政金融政策研究中心,金融科技研究所,E-mail: songke@ruc.edu.cn.   
作者简介:  杨雅鑫,经济学博士,中国人民大学国际货币研究所,新加坡国立大学房地产研究院,E-mail: yang.ruc@nus.edu.sg.
张劲帆,金融学博士,副教授,香港中文大学(深圳)经济管理学院,中国人民大学国际货币研究所,E-mail: zhangjinfan@cuhk.edu.cn.
引用本文:    
杨雅鑫, 宋科, 张劲帆. 互联网理财、财富效应与居民消费——来自互联网平台居民理财行为的微观证据[J]. 金融研究, 2024, 523(1): 56-75.
YANG Yaxin, SONG Ke, ZHANG Jinfan. Online Wealth Management, Wealth Effect, and Consumption: Evidence from the Internet Platform Users' Wealth Management Behavior. Journal of Financial Research, 2024, 523(1): 56-75.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2024/V523/I1/56
[1]陈昌盛、许伟、兰宗敏和李承健,2021,《我国消费倾向的基本特征、发展态势与提升策略》,《管理世界》第8期,第46~58页。
[2]陈惠雄,2016,《既定收入条件下消费者支出均衡的决定》,《中国工业经济》第4期,第5~21页。
[3]范叙春,2016,《收入增长、消费结构升级与产品有效供给》,《经济与管理研究》第5期,第16~24页。
[4]冯华和陈亚琦,2016,《平台商业模式创新研究——基于互联网环境下的时空契合分析》,《中国工业经济》第3期,第99~113页。
[5]古炳鸿、李红岗和叶欢,2009,《我国城乡居民边际消费倾向变化及政策含义》, 《金融研究》第3期,第199~206页。
[6]何兴强和杨锐锋,2019,《房价收入比与家庭消费——基于房产财富效应的视角》,《经济研究》第12期,第104~119页。
[7]胡永刚和郭长林,2012,《股票财富、信号传递与中国城镇居民消费》,《经济研究》第3期,第115~126页。
[8]李波,2015,《中国城镇家庭金融风险资产配置对消费支出的影响——基于微观调查数据CHFS的实证分析》,《国际金融研究》第1期,第83~92页。
[9]李涛和陈斌开,2014,《家庭固定资产、财富效应与居民消费:来自中国城镇家庭的经验证据》,《经济研究》第3期,第62~75页。
[10]刘向东、刘雨诗和陈成漳,2019,《数字经济时代连锁零售商的空间扩张与竞争机制创新》,《中国工业经济》第5期,第82~100页。
[11]宁光杰、雒蕾和齐伟,2016,《我国转型期居民财产性收入不平等成因分析》,《经济研究》第4期,第116~128页。
[12]潘敏和刘知琪,2018,《居民家庭“加杠杆”能促进消费吗?——来自中国家庭微观调查的经验证据》,《金融研究》第4期,第75~91页。
[13]邱晗、黄益平和纪洋,2018,《金融科技对传统银行行为的影响——基于互联网理财的视角》,《金融研究》第11期,第17~29页。
[14]宋科、武沛璋、李鸿翔和杨雅鑫,2023,《互联网消费信贷与传统消费信贷:互补还是替代?》,《管理科学学报》第4期,第41~61页。
[15]宋科、虞思燕和杨雅鑫,2022,《消费升级再审视及历史回顾—— 一个新的理论分析框架》,《经济纵横》第12期,第97~103页。
[16]唐琦、夏庆杰和李实,2018,《中国城市居民家庭的消费结构分析:1995—2013》,《经济研究》第2期,第35~49页。
[17]王修华、傅勇、贺小金和谭开通,2013,《中国农户受金融排斥状况研究——基于我国8省29县1547户农户的调研数据》,《金融研究》第7期,第139~152页。
[18]温涛、田纪华和王小华,2013,《农民收入结构对消费结构的总体影响与区域差异研究》,《中国软科学》第3期,第42~52页。
[19]徐尚昆、郑辛迎和杨汝岱,2020,《国有企业工作经历、企业家才能与企业成长》,《中国工业经济》第1期,第155~173页。
[20]杨继生和邹建文,2020,《居民消费平滑及其结构异质性——基于生命周期模型的分析》,《经济研究》第11期,第121~137页。
[21]尹志超、宋全云和吴雨,2014 , 《金融知识、投资经验与家庭资产选择》,《经济研究》第4期,第62~75页。
[22]袁志刚和宋铮,1999,《城镇居民消费行为变异与我国经济增长》,《经济研究》第11期,第20~28页。
[23]臧旭恒和裴春霞,2007,《转轨时期中国城乡居民消费行为比较研究》,《数量经济技术经济研究》第1期,第65~72页。
[24]张大永和曹红,2012,《家庭财富与消费:基于微观调查数据的分析》,《经济研究》第1期,第53~65页。
[25]张浩、易行健和周聪,2017,《房产价值变动、城镇居民消费与财富效应异质性——来自微观家庭调查数据的分析》,《金融研究》第8期,第50~66页。
[26]张涛和李均超,2023,《网络基础设施、包容性绿色增长与地区差距——基于双重机器学习的因果推断》,《数量经济技术经济研究》第4期,第113~135页。
[27]周密和盛玉雪,2018,《互联网时代供给侧结构性改革的主导性动力:工业化传统思路的局限》,《中国工业经济》第4期,第39~58页。
[28]Ando A. and Modigliani F., 1963, “The Life Cycle Hypothesis of Saving”, American Economic Review, 53(1), pp. 55~74.
[29]Arena, J. J., 1964, “Capital Gains and the ‘Life Cycle' Hypothesis of Saving,” American Economic Review, 54(3), pp. 107~11.
[30]Arena, J. J., 1965, “Postwar Stock Market Changes and Consumer Spending”, Review of Economics and Statistics, 47, pp.379~391.
[31]Bacchetta, P. and Gerlach, S., 1997, “Consumption and Credit Constraints: International evidence”, CEPR Discussion Papers, No.1727.
[32]Bernheim, D. B. and Skinner, 2001, “ What Accounts for the Variation in Retirement Wealth Among U.S. Households?”, American Economic Review, 91(4), pp. 832~857.
[33]Bertaut, C. C., 1998, “Stockholding Behavior of U.S. Households: Evidence from the 1983-1989 Survey of Consumer Finances”, Review of Economics and Statistics, 80(2), pp. 263~275.
[34]Campbell, John, Y. and Mankiw, N. Gregory, 1991, “The response of consumption to income : A cross-country investigation”, European Economic Review, 35(4), pp. 723~756.
[35]Case, K. E., Quigley, J. M. and Shiller, R. J., 2005, “Comparing Wealth Effects: The Stock Market Versus the Housing Market”, Advances in Macroeconomics, 5(1), pp. 1235~1235.
[36]Chernozhukov, V., Chetverikov, D., Demirer, M., Duflo, E., Hansen, C., Newey, W. and Robins, J., 2018, “Double/debiased Machine Learning for Treatment and Structural Parameters”, The Econometrics Journal,21, pp. C1~C68.
[37]Erzo, G. J. Luttmer, 1999, “What Level of Fixed Costs Can Reconcile Consumption and Stock Returns?”, Journal of Political Economy, 107(5), pp. 969~997.
[38]Flavin, Marjorie, A., 1981, “The Adjustment of Consumption to Changing Expectations about Future Income”, Journal of Political Economy, 89(5), pp. 974~1009.
[39]Guiso, L., Sapienza, P. and Zingales, L., 2004, “The Role of Social Capital in Financial Development”, American Economic Review, 94(3), pp. 526~556.
[40]Hall, R. E. and Mishkin, F. S., 1982, “The Sensitivity of Consumption to Transitory Flow: Evidence from PSID Households”, Econometrica, 50(2), pp. 461~481.
[41]Hall, Robert, E., 1978, “Stochastic Implications of the Life Cycle-Permanent Flow Hypothesis: Theory and Evidence”, Journal of Political Economy, 86(6), pp. 971~987.
[42]Shefrin, H. M. and Thaler, R. H., 1988, “The Behavioral Life-Cycle Hypothesis”, Economic Inquiry, 26(4), pp. 609~643.
[43]Sousa, R. M., 2008, “Financial Wealth, Housing Wealth, and Consumption”, International Research Journal of Finance & Economics, 19, pp. 167~191.
[44]Starr, Mccluer, M., 2002, “Stock Market Wealth and Consumer Spending”, Economic Inquiry, 40(1), pp. 69~79.
[45]Thaler, R. H., 1990, “Anomalies: Saving, Fungibility, and Mental Accounts”, Journal of Economic Perspectives, 4(1), pp. 193~205.
[46]V. Chernozhukov, D. Chetverikov, M. Demirer, E. Duflo, C. Hansen, and A. W. Newey., 2016, “Double Machine Learning for Treatment and Causal Parameters”, ArXiv e-prints,7.
[47]Zhou, X., Chang, M. S., and Gibler, K., 2016, “The asymmetric wealth effects of housing market and stock market on consumption in China”, Journal of the Asia Pacific Economy, 21(2), pp.196~216.
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