Please wait a minute...
金融研究  2023, Vol. 515 Issue (5): 1-19    
  本期目录 | 过刊浏览 | 高级检索 |
中国实业部门金融化分层驱动机制
张成思, 郑宁
中国人民大学财政金融学院,北京 100872;
首都经济贸易大学金融学院,北京 100070
The Mechanisms behind the Hierarchical Financialization of Real Sector Firms in China
ZHANG Chengsi, ZHENG Ning
School of Finance, Renmin University of China;
School of Finance, Capital University of Economics and Business
下载:  PDF (714KB) 
输出:  BibTeX | EndNote (RIS)      
摘要 本文将实体企业的显性金融投资与隐性金融投资同时纳入企业金融化的研究范畴,构建包含显性金融资产、影子银行资产和经营性资产的投资组合模型,从理论机制上推演实体企业在显性金融投资和隐性金融投资两个不同层次金融化的驱动逻辑。理论模型显示,企业金融化驱动因素包括两类:一是备择资产的相对复合风险,二是分类资产间的调整利差。在此基础上,本文通过逐篇阅读企业年报,采集中国A股上市非金融企业的委托贷款和委托理财加总数据作为影子银行投资指标,结合其他财务数据进行实证检验。结果显示,实体企业的显性金融投资和隐性金融投资(即影子银行投资)均受到相对复合风险的显著驱动,但两类金融投资受调整利差驱动的机制具有明显差异:显性金融投资主要受显性金融资产与影子银行资产间的调整利差驱动,而影子银行投资则主要受影子银行资产和经营资产间的调整利差驱动。进一步考虑货币因素的结果表明,宏观层面的货币供给增加并不会助推企业两个层次的金融化行为,宽松货币环境更倾向于促进企业脱虚向实。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
张成思
郑宁
关键词:  实体企业  金融化分层  显性金融资产  影子银行  投资风险    
Summary:  This paper incorporates the explicit financial assets, shadow banking assets, and operational assets held by nonfinancial firms into the portfolio selection process, constructs a portfolio selection model containing these three different asset types, and deduces the layering driving mechanisms of the financialization of nonfinancial firms. The theoretical model shows that the proportion of firms' explicit financial investments depends on three factors: the adjustment return gap between explicit financial assets and operating assets, the adjustment return gap between explicit financial assets and shadow banking assets, and the relative risk of shadow banking assets and operating assets. These two adjusted return gaps essentially portray the profit potential from investing in financial assets compared with the other two asset types. The larger the gap, the greater the proportion of firms investing in explicit financial assets. That is, nonfinancial firms' traditional financial investment behavior is driven by their profit-seeking motive. The relative risk depicts the relative amount of the alternative assets of financial assets to the total risk of the portfolio. The higher the relative risk of alternative assets, the higher the proportion of financial assets is for the purpose of avoiding the investment risk of alternative assets. Therefore, risk aversion also drives nonfinancial firms' financial investments. The driving factors underlying the shadow banking investments by nonfinancial firms are similar to those of explicit financial investments. Compared with the literature, after the introduction of the third type of assets into the portfolio model, the denominators of the two adjusted gaps contain not only the investment risk corresponding to the two returns in their respective numerators, but also the investment risk of the remaining third asset type, indicating that with an increase in asset classes invested, the investment risks of various assets no longer appear separately in the investment decisions.
This paper further collects and collates the shadow banking investment data for China's A-share listed nonfinancial firms from 2007 to 2018, calculates the asset scale of real firms' shadow banking activities, and then uses the data for empirical analysis together with the explicit financial assets and operational asset data to test the layering driving mechanism underlying the financialization of real Chinese firms.
The baseline results show that real Chinese firms' explicit financial and shadow banking investments feature inertia and are both significantly driven by relative risks. However, the driving factors underlying these two assets are starkly different when considering gaps in adjusted returns. That is, explicit financial investments are mainly driven by the adjustment gap with shadow banking assets, while shadow banking investments are driven by the adjustment gap with operating assets. These results reveal a very rich amount of information. First, the financialization of firms at different levels is clearly significantly affected by the relative risk of alternative assets. The higher the risk of alternative assets, the more motivated firms are to conduct their financialization activities. Second, there are subtle differences in the considered interest rate target when firms conduct different financialization activities. The key is that firms do not directly consider the rate of return for operating assets when making explicit financial investments, but they do consider this factor when conducting shadow banking activities. This finding is consistent with this paper's theoretical model. Hence, these results also highlight the need to include shadow banking investments in financialization activities to achieve a more comprehensive understanding of the driving mechanism underlying the financialization of real firms.
Incorporating monetary factors into the baseline model reveals that the year-on-year growth rate in the money supply also has different impacts on the two levels of financialization behavior by real Chinese firms. Increases in the money supply significantly inhibit real firms' explicit financial investments, but they have no significant influence on their shadow banking investments. These results indicate that monetary expansion is far from responsible for the financialization trend in China's real sector. In contrast, increasing money supply may ease real firms' liquidity constraints, reduce the “risk aversion” characteristic of explicit financial investments, and eventually curb these firms' traditional financial investments. Monetary factors have no significant impact on shadow banking investments, which echoes the baseline model results. If monetary factors cannot effectively improve the return rates from operational investments, it may be challenging to guide real firms to “return to their main business.”
In summary, real Chinese firms show explicit and implicit levels of financialization. In addition, the common feature of the layering driving mechanism is that it is significantly driven by relative risks. The relative rate of return with operating assets drives only shadow banking investments without affecting explicit financial investments. From the perspective of policy implications, decision-makers should consider improving the operating environment of real firms, reducing the risks of real investments, and enhancing the resilience of the real economy to major exogenous shocks in guiding the real economy to “return to their main business.”
Keywords:  Real Sector Firms    Layering Financialization    Explicit Financial Investment    Shadow Banking    Investment Risk
JEL分类号:  E33   E58   G30  
基金资助: * 本研究受到国家社科基金重大项目的资助(项目批准号20&ZD104)。感谢匿名审稿人的宝贵意见,文责自负。
通讯作者:  郑 宁,经济学博士,讲师,首都经济贸易大学金融学院,E-mail:zheng.ning@cueb.edu.cn.   
作者简介:  张成思,经济学博士,教授,中国人民大学财政金融学院,中国财政金融政策研究中心,E-mail:zhangcs@ruc.edu.cn.
引用本文:    
张成思, 郑宁. 中国实业部门金融化分层驱动机制[J]. 金融研究, 2023, 515(5): 1-19.
ZHANG Chengsi, ZHENG Ning. The Mechanisms behind the Hierarchical Financialization of Real Sector Firms in China. Journal of Financial Research, 2023, 515(5): 1-19.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2023/V515/I5/1
[1]杜勇、谢瑾和陈建英,2019,《CEO金融背景与实体企业金融化》,《中国工业经济》第5期,第136~154页。
[2]韩珣和李建军,2020,《金融错配、非金融企业影子银行化与经济“脱实向虚”》,《金融研究》第8期,第93~111页。
[3]胡奕明、王雪婷和张瑾,2017,《金融资产配置动机:“蓄水池”或“替代”?——来自中国上市公司的证据》,《经济研究》第1期,第181~194页。
[4]李建军和韩珣,2019,《非金融企业影子银行化与经营风险》,《经济研究》第8期,第21~35页。
[5]聂辉华、阮睿和沈吉,2020,《企业不确定性感知、投资决策和金融资产配置》,《世界经济》第6期,第77~98页。
[6]彭俞超、韩珣和李建军,2018,《经济政策不确定性与企业金融化》,《中国工业经济》第1期,第137~155页。
[7]彭俞超和黄志刚,2018,《经济“脱实向虚”的成因与治理:理解十九大金融体制改革》,《世界经济》第9期,第3~25页。
[8]宋军和陆旸,2015,《非货币金融资产和经营收益率的U形关系——来自我国上市非金融公司的金融化证据》,《金融研究》第6期,第111~127页。
[9]王永钦、刘紫寒、李嫦和杜巨澜,2015,《识别中国非金融企业的影子银行活动——来自合并资产负债表的证据》,《管理世界》第12期,第24~40页。
[10]闫海洲和陈百助,2018,《产业上市公司的金融资产:市场效应与持有动机》,《经济研究》第7期,第152~166页。
[11]张成思,2019,《金融化的逻辑与反思》,《经济研究》第11期,第4~20页。
[12]张成思和张步昙,2016,《中国实业投资率下降之谜:经济金融化视角》,《经济研究》第12期,第32~46页。
[13]张成思和郑宁,2018,《中国非金融企业的金融投资行为影响机制研究》,《世界经济》第12期,第3~24页。
[14]张成思和郑宁,2020,《中国实体企业金融化:货币扩张、资本逐利还是风险规避?》,《金融研究》第9期,第1~19页。
[15]Allen, F., Y. Qian, G. Tu and F. Yu, 2019, “Entrusted Loans: A Close Look at China's Shadow Banking System,” Journal of Financial Economics, 133(1), pp.18~41.
[16]Arellano, M. and S. Bond, 1991, “Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations,” Review of Economic Studies, 58(2), pp.277~297.
[17]Blundell, R. and S. Bond, 1998, “Initial Conditions and Moment Restrictions in Dynamic Panel Data Models,” Journal of Econometrics, 87, pp.115~143.
[18]Demir, F., 2009, “Financial Liberalization, Private Investment and Portfolio Choice: Financialization of Real Sectors in Emerging Markets,” Journal of Development Economics, 88(2), pp.314~324.
[19]Hansen, L. P., 1982, “Large Sample Properties of Generalized Method of Moments Estimators,” Econometrica, 50, pp.1029~1054.
[20]Luo, M., S. Shao and F. Zhang, 2018, “Does Financial Reporting above or below Operating Income Matter to Firms and Investors? The Case of Investment Income in China,” Review of Accounting Studies, 23(4), pp.1754~1790.
[1] 邵新建, 董丁丁, 洪俊杰. 中国式影子银行对于地方融资平台债务的定价机制研究[J]. 金融研究, 2023, 514(4): 36-54.
[2] 司登奎, 李颖佳, 李小林. 中国银行业竞争与非金融企业影子银行化[J]. 金融研究, 2022, 506(8): 171-188.
[3] 韩珣, 李建军. 政策连续性、非金融企业影子银行化与社会责任承担[J]. 金融研究, 2021, 495(9): 131-150.
[4] 李丽芳, 谭政勋, 叶礼贤. 改进的效率测算模型、影子银行与中国商业银行效率[J]. 金融研究, 2021, 496(10): 98-116.
[5] 张成思, 郑宁. 中国实体企业金融化:货币扩张、资本逐利还是风险规避?[J]. 金融研究, 2020, 483(9): 1-19.
[6] 韩珣, 李建军. 金融错配、非金融企业影子银行化与经济“脱实向虚”[J]. 金融研究, 2020, 482(8): 93-111.
[7] 张成思, 郑宁. 中国实业部门金融化的异质性[J]. 金融研究, 2019, 469(7): 1-18.
[8] 胡诗阳, 祝继高, 陆正飞. 商业银行吸收存款能力、发行理财及其经济后果研究[J]. 金融研究, 2019, 468(6): 94-112.
[9] 杨筝, 王红建, 戴静, 许传华. 放松利率管制、利润率均等化与实体企业“脱实向虚”[J]. 金融研究, 2019, 468(6): 20-38.
[10] 李文喆. 中国影子银行的经济学分析:定义、构成和规模测算[J]. 金融研究, 2019, 465(3): 53-73.
[11] 钱雪松, 徐建利, 杜立. 中国委托贷款弥补了正规信贷不足吗?[J]. 金融研究, 2018, 455(5): 82-100.
[12] 纪敏, 李宏瑾. 影子银行、资管业务与货币调控方式转型——基于银行表外理财数据的实证分析[J]. 金融研究, 2018, 462(12): 1-18.
[13] 温信祥, 苏乃芳. 大资管、影子银行与货币政策传导[J]. 金融研究, 2018, 460(10): 38-54.
[14] 郭晔, 赵静. 存款竞争、影子银行与银行系统风险——基于中国上市银行微观数据的实证研究[J]. 金融研究, 2017, 444(6): 81-94.
[15] 方先明, 权威. 信贷型影子银行顺周期行为检验[J]. 金融研究, 2017, 444(6): 64-80.
[1] 张晓宇, 徐龙炳. 限售股解禁、资本运作与股价崩盘风险[J]. 金融研究, 2017, 449(11): 158 -174 .
[2] 李丹, 庞晓波, 方红生. 财政空间与中国政府债务可持续性[J]. 金融研究, 2017, 448(10): 1 -17 .
[3] 潘彬, 王去非, 金雯雯. 时变视角下非正规借贷利率的货币政策反应研究[J]. 金融研究, 2017, 448(10): 52 -67 .
[4] 刘勇政, 李岩. 中国的高速铁路建设与城市经济增长[J]. 金融研究, 2017, 449(11): 18 -33 .
[5] 卢洪友, 余锦亮, 张楠. 纵向行政管理结构与地方政府财政支出规模[J]. 金融研究, 2017, 448(10): 35 -51 .
[6] 步丹璐, 狄灵瑜. 治理环境、股权投资与政府补助[J]. 金融研究, 2017, 448(10): 193 -206 .
[7] 项后军, 闫玉. 理财产品发展、利率市场化与银行风险承担问题研究[J]. 金融研究, 2017, 448(10): 99 -114 .
[8] 尹力博, 吴优. 离岸人民币区域影响力研究——基于信息溢出的视角[J]. 金融研究, 2017, 446(8): 1 -18 .
[9] 马勇, 张靖岚, 陈雨露. 金融周期与货币政策[J]. 金融研究, 2017, 441(3): 33 -53 .
[10] 姜军, 申丹琳, 江轩宇, 伊志宏. 债权人保护与企业创新[J]. 金融研究, 2017, 449(11): 128 -142 .
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 《金融研究》编辑部
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn
京ICP备11029882号-1