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金融研究  2023, Vol. 516 Issue (6): 132-149    
  本期目录 | 过刊浏览 | 高级检索 |
供应链金融与企业效率升级 ——来自上市公司公告与地方政策文件的双重证据
成程, 田轩, 徐照宜
湖南大学金融与统计学院,湖南长沙 410006;
清华大学五道口金融学院,北京 100083;
清华大学经济管理学院,北京 100084
Supply Chain Finance and Corporate Efficiency Upgrading: Dual Evidence from Listed Company Announcements and Local Policy Documents
CHENG Cheng, TIAN Xuan, XU Zhaoyi
School of Finance and Statistics, Hunan University;
PBC School of Finance, Tsinghua University;
School of Economics and Management, Tsinghua University
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输出:  BibTeX | EndNote (RIS)      
摘要 本文通过对2007—2019年A股上市公司320.8万篇公告和全国地方政府195.3万篇地方政策文件进行文本分析,实证检验了企业开展供应链金融业务对全要素生产率的影响。第一,企业开展供应链金融业务可以使全要素生产率水平得到显著提高。第二,突破信贷配给与优化企业融资,加强供应链联合投资与关系嵌入,推进合作研发与提升科技创新水平是供应链金融促进企业效率提升的有效渠道。第三,在引入地方政策进行进一步分析后,本文发现当企业所在地出台了供应链金融支持政策时,企业开展供应链金融业务可以获得更大水平的效率提升。本文的发现为民营企业和市场化程度低地区的企业突破信贷配给,寻求发展机会,提升企业生产经营效率提供了现实指引,也为加大对供应链金融发展的政策支持力度提供了经验证据。
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关键词:  供应链金融  信贷配给  关系嵌入  全要素生产率  文本分析    
Summary:  In the “Guiding Opinions on Actively Promoting Supply Chain Innovation and Application” , a key measure is to “Actively and steadily develop supply chain finance (SCF),” to ensure China's position as an important center of global supply chain innovation and application. Governments at all levels in China have issued relevant policies to support the development of local SCF. However, can SCF effectively help enterprises overcome credit rationing and promote overall improvements in their production and operational efficiency? What are the channels through which SCF can facilitate the upgrading of production and operational efficiency? These questions are worthy of further exploration.
In this study, we conduct an empirical analysis of the impact of SCF on the production and operational efficiency of listed companies. The analysis is based on the examination of 3.2 million listed company announcements and 1.9 million local government policy documents, from 2007 to 2019. The findings are as follows. First, SCF has a significant positive impact on a firm's total factor productivity (TFP) and efficiency. Second, SCF effectively enhances corporate efficiency through the channels of breaking credit rationing and optimizing enterprise financing, strengthening mutual investment and relationship embedding, and promoting cooperative R&D and enhancing innovation. Third, if local governments introduce policies to encourage and support SCF, companies can improve their efficiency by developing SCF. Fourth, of the various types of SCF businesses, the innovation model, supplier financing, and fund and service recipients contribute to greater efficiency improvement. A series of heterogeneity tests reveal that high factor-led companies, private companies, and those located in less marketized and western regions experience more significant effects when implementing SCF.
Our study makes the following contributions. First, we draw on the specialized vocabulary of different supply chain businesses and propose a text analysis method combining the “dictionary method” with the “business method” to effectively extract information on whether listed companies have engaged in SCF, along with the specific types and methods used. Second, we identify and validate three channels of SCF: financing optimization, relationship embedding, and cooperative R&D, which contribute to the enhancement of corporate efficiency. We provide an in-depth analysis of how SCF influences companies' production and operational efficiency. Additionally, by utilizing multiple databases such as CSMAR, Wind, and Qichacha.com, we empirically analyze joint investments and equity collaborations within a supply chain involving listed companies, suppliers, and customers. Our findings enrich theories on improving corporate efficiency. Third, we examine the effectiveness of local government SCF support policies by analyzing relevant policy documents. We empirically investigate the impact of these policies on local enterprises' adoption of SCF and the subsequent improvement in corporate efficiency.
Our study has important implications for enterprises in terms of seeking cooperation opportunities, improving innovation and R&D capabilities, and enhancing competitiveness. Enterprises should seize the opportunity to develop SCF and leverage Internet of Things technology, to enable real-time logistics information tracking. They can also utilize big data analysis for inventory optimization, increase the digital and integrated transformation of supply chain management, expand mutual investment and relationship embedding with upstream and downstream enterprises in the supply chain, and establish information system interconnection within the supply chain. This can then enhance their competitiveness in the global value chain.
Our study also provides empirical evidence that national and local governments should support the development of SCF. We find that companies located in regions with lower levels of marketization and less developed economies can achieve more significant efficiency improvements by developing SCF. Therefore, local governments in such regions should carefully consider national policies that support supply chain innovation and application. They should actively respond to these strategies, consider their local economic and social development realities, and coordinate efforts to implement supporting policies for local supply chain innovation. By constructing and optimizing local SCF service systems, they can create further high-quality development opportunities for local enterprises.
Keywords:  Supply Chain Finance    Credit Ration    Relationship Embeddedness    TFP    Text Analysis
JEL分类号:  G23   G34   H71  
基金资助: * 本文感谢获国家社会科学基金重大项目(19ZDA103)、国家杰出青年科学基金项目(71825002)、国家自然科学基金重大项目(71790591)、北京高校卓越青年科学家计划项目(BJJWZYJH01201910003014)、清华大学文科建设“双高”计划项目(2022TSG08102)的资助。感谢匿名审稿人的宝贵意见,文责自负。
通讯作者:  田 轩,经济学博士,教授,清华大学五道口金融学院,E-mail:tianx@pbcsf.tsinghua.edu.cn.   
作者简介:  成 程,经济学博士,副教授,湖南大学金融与统计学院,E-mail:ccheng@hnu.edu.cn.徐照宜,经济学博士,博士后研究员,清华大学经济管理学院,E-mail:xuzy@sem.tsinghua.edu.cn.
引用本文:    
成程, 田轩, 徐照宜. 供应链金融与企业效率升级 ——来自上市公司公告与地方政策文件的双重证据[J]. 金融研究, 2023, 516(6): 132-149.
CHENG Cheng, TIAN Xuan, XU Zhaoyi. Supply Chain Finance and Corporate Efficiency Upgrading: Dual Evidence from Listed Company Announcements and Local Policy Documents. Journal of Financial Research, 2023, 516(6): 132-149.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2023/V516/I6/132
[1] 蔡强、汪寿阳、田歆、丁玉章、彭肖溶和罗春林,2017,《基于见福便利店案例的零售企业全生态系统模型研究》,《管理评论》第10期,第248~257页。
[2] 陈熠辉、蔡庆丰和王斯琪,2023,《人口老龄化、企业债务融资与金融资源错配——基于地级市人口普查数据的实证研究》,《金融研究》第2期,第40~59页。
[3] 崔月慧、葛宝山和董保宝,2018,《双元创新与新创企业绩效:基于多层级网络结构的交互效应模型》,《外国经济与管理》第8期,第45~57页。
[4] 郭庆旺和贾俊雪,2006,《地方政府行为、投资冲动与宏观经济稳定》,《管理世界》第5期,第19~25页。
[5] 胡海峰、窦斌和王爱萍,2020,《企业金融化与生产效率》,《世界经济》第1期,第70~96页。
[6] 江伟和姚文韬,2016,《(物权法)的实施与供应链金融——来自应收账款质押融资的经验证据》,《经济研究》第1期,第141~154页。
[7] 刘晓光和刘嘉桐,2020,《劳动力成本与中小企业融资约束》,《金融研究》第9期,第117~135页。
[8] 李春涛、闫续文、宋敏和杨威,2020,《金融科技与企业创新———新三板上市公司的证据》,《中国工业经济》第1期,第81~98页。
[9] 李健、王亚静、冯耕中、汪寿阳和宋昱光,2020,《供应链金融述评:现状与未来》,《系统工程理论与实践》第8期,第1977~1995页。
[10] 李俊生和姚东旻,2018,《财政学需要什么样的理论基础?——兼评市场失灵理论的“失灵”》,《经济研究》第9期,第20~36页。
[11] 凌润泽、潘爱玲和李彬,2021,《供应链金融能否提升企业创新水平?》,《财经研究》第2期,第64~78页。
[12] 陆岷峰,2021,《供应链经济背景下供应链金融发展现状、问题与策略研究——基于构建经济发展新格局的视角》,《金融理论与实践》第1期,第19~26页。
[13] 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。
[14] 邵云飞、范波和杨雪程,2022,《突破性创新视角下的互补性资产与企业绩效关系研究》,《管理科学》第2期,第3~15页。
[15] 沈艳、陈赟和黄卓,2019,《文本大数据分析在经济学和金融学中的应用:一个文献综述》 ,《经济学(季刊)》第4期,第1153~1186页。
[16] 宋华和卢强,2017,《什么样的中小企业能够从供应链金融中获益?——基于网络和能力的视角》,《管理世界》第6期,第104~121页。
[17] 宋敏、周鹏和司海涛,2021,《金融科技与企业全要素生产率——“赋能”和信贷配给的视角》,《中国工业经济》第4期,第138~155页。
[18] 唐松和谢雪妍,2021,《企业持股金融机构如何服务实体经济——基于供应链溢出效应的视角》,《中国工业经济》第11期,第116~134页。
[19] 唐松、赖晓冰和黄锐,2019,《金融科技创新如何影响全要素生产率:促进还是抑制?——理论分析框架与区域实践》,《中国软科学》第7期,第134~144页。
[20] 王桂军和卢潇潇,2019,《“一带一路”倡议与中国企业升级》,《中国工业经济》第3期,第43~61页。
[21] 王馨,2015,《互联网金融助解“长尾”小微企业融资难问题研究》,《金融研究》第9期,第128~139页。
[22] 王修华和赵亚雄,2019,《中国金融包容的增长效应与实现机制》,《数量经济技术经济研究》第1期,第42~59页。
[23] 夏雨、方磊和魏明侠,2019,《供应链金融:理论演进及其内在逻辑》,《管理评论》第12期,第26~39页。
[24] 熊熊、马佳、赵文杰、王小琰和张今,2009,《供应链金融模式下的信用风险评价》,《南开管理评论》第4期,第92~98+106页。
[25] 徐细雄、占恒和李万利,2021,《卖空机制、双重治理与公司违规——基于市场化治理视角的实证检验》,《金融研究》第10期,第190~206页。
[26] 张敏和张一力,2015,《任务紧迫性下关系嵌入、情绪劳动及个体创新行为的关系研究》,《管理工程学报》第2期,第19~30页。
[27] 郑玉雯和薛伟贤,2019,《丝绸之路经济带沿线国家协同发展的驱动因素——基于哈肯模型的分阶段研究》,《中国软科学》第2期,第78~92页。
[28] Ackerberg D. A.,Caves K., and Frazer G. 2015. “Identification Properties of Recent Production Function Estimators”,Econometrica,83(6):2411~2451.
[29] Andersson U., Forsgren M., and Holm U. 2002. “The Strategic Impact of External Networks: Subsidiary Performance and Competence Development in the Multinational Corporation”, Strategic Management Journal, 23(11):979~996.
[30] Baltensperger E. 1978. “Credit Rationing: Issues and Questions”,Journal of Money, Credit and Banking,10(2):170~183.
[31] Barney J. 1991. “Firm Resources and Sustained Competitive Advantage”, Journal of Management, 17(1): 99~120.
[32] Dhanaraj C, Alyles M, and Steensma KH. 2004. “Managing Tacit and Explicit Knowledge Transfer in IJVs: The Role of Relational Embeddedness and the Impact on Performance”, Journal of International Business Studies,35(5) : 428~442.
[33] Dyer J. H.,and Singh H. 1998. “The Relational View: Cooperative Strategy and Sources of Interorganizational Competitive Advantage”, Academy of management review,23(4): 660~679.
[34] Granovetter M. 1985. “Economic Action and Social Structure:The Problem of Embeddedness”,American Journal of Sociology,91(3):481~510.
[35] Hopenhayn H. A. 2014. “Firms, Misallocation, and Aggregate Productivity: A Review”, Annual Review of Economics,6(1):735~770.
[36] Jin M.,Zhao S.,and Kumbhakar S. C. 2019. “Financial Constraints and Firm Productivity: Evidence from Chinese Manufacturing”,European Journal of Operational Research,275(3): 1139~1156.
[37] La Ferrara E., Chong A., and Duryea S. 2012. “Soap Operas and Fertility: Evidence from Brazil”, American Economic Journal: Applied Economics, 4(4):1~31.
[38] Mitchell C. 1969. “The Concept and Use of Social Networks”, Social Networks in Urban Situations,Manchester University Press, Manchester: 1~50.
[39] Rowley T,Behrens D,and Krackhardt D. 2000. “Redundant Governance Structures: An Analysis of Structural and Relational Embeddedness in the Steel and Semiconductor Industries”,Strategic Management Journal,21(3): 369~386.
[40] Wuttke D. A.,Blome C.,Foerstl K.,and Henke M. 2013. “Managing the Innovation Adoption of Supply Chain Finance—Empirical Evidence from Six European Case Studies”, Journal of Business Logistics,34(2):148~166.
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