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金融研究  2020, Vol. 479 Issue (5): 114-131    
  本期目录 | 过刊浏览 | 高级检索 |
产业政策与信贷资金配置效率
李广子, 刘力
中国社会科学院金融研究所/国家金融与发展实验室,北京 100028;北京大学光华管理学院,北京 100871
Industrial Policy and Credit Allocation Efficiency
LI Guangzi, LIU Li
Institute of Finance/Banking and National Institution for Finance & Development, CASS; Guanghua School of Management, Peking University
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摘要 基于上市公司逐笔银行贷款合约数据,本文考察了产业政策对信贷资金配置效率的影响。研究发现,当上市公司处于国家产业政策支持的行业时,公司所拥有的政企关系对银行贷款合约制定的积极作用会更大,全要素生产率对银行贷款合约制定的积极作用会更小,基于分省产业政策以及上市公司全部贷款数据的分析进一步确认了上述结论。从影响因素来看,当上市公司为国有企业、所在省份固定资产投资增速越高、法治环境越差时,产业政策的影响会越明显。本文的证据表明,通过加强法治建设、为不同所有制企业提供公平的竞争环境、改善产业政策的制定与实施,能够提升产业政策指导下的信贷资金配置效率。
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李广子
刘力
关键词:  产业政策  贷款合约  政企关系  全要素生产率  效率    
Summary:  Industrial policies are government policies that promote a certain industry in a country or region and represent government intervention in the economy. Although such policies are widely used, there is no consensus on their economic consequences. On the one hand, industrial policies help to overcome market failure; on the other, the government lacks sufficient information to pick winners, and industrial policies may lead to rent-seeking behavior. The question of how to evaluate the effects of industrial policies on the efficiency of economic resource allocation has attracted widespread theoretical and practical attention.
China's financial system is dominated by indirect finance, and efficient credit allocation is the key to its overall operating efficiency. In practice, there is a close relationship between bank loans and industrial policy: credit policy itself is a part of industrial policy in some circumstances, and other industrial policies often work by encouraging or restricting bank loans. The efficiency of loan contracting reflects the efficiency of credit allocation. For this reason, loan contracting provides a proper perspective for understanding the relationship between industrial policy and the efficiency of economic resource allocation.
We analyze the effect of industrial policy on credit allocation efficiency from the perspective of loan contracting. Loan contract data is manually collected from the notes to the annual reports of listed firms from 2008 to 2015; the data set consists of 13,096 loan contracts from 1,069 listed firms. An industry is defined as supported by industry policy if it belongs to the industries supported by the national Five Year Plan. The major findings are as follows. (1) For listed firms that are in industries supported by national industrial policy, the favorable effect of firm's relationship with the government on loan contracting is greater, and the favorable effect of TFP on loan contracting is smaller. (2) The effect of industrial policy on loan contracting is stronger for state-owned enterprises (SOEs) and for firms located in provinces with higher growth rates for fixed asset investments and weaker legal environments.
Our research contributes to the literature in the following three ways. First, it is the first to investigate the effect of industrial policy on the efficiency of economic resource allocation from the perspective of loan contracting in China. Previous studies have analyzed how industrial policy affects firms' investment and financing behavior, output, innovation, employment, etc. This paper examines how industrial policy affects the relation between firm's relationship with the government and loan contracting. This study also directly examines the effect of industrial policy on credit allocation efficiency, which provides a new perspective for understanding the mechanism through which industrial policy functions. Second, this study provides direct evidence that industrial policy may lead to rent-seeking behavior. Rodrik (2004, 2008) argues that industrial policy often fails due to rent-seeking behavior. Specifically, industrial policy causes economic resources to flow to firms related with the government. We find that industrial policy increases the favorable effect of firms' relationship with the government on loan contracting, which provides direct support for the notion that rent-seeking behavior may result from industrial policy. Third, this paper analyzes credit allocation efficiency from the perspective of loan contracting, which enriches the literature on credit allocation efficiency in China.
Our findings have a number of policy implications. First, the government should take a more prudent attitude toward industrial policy. For industrial policies that are considered necessary, the government should ensure more effective decision-making from the beginning. Second, the government should more closely supervise the implementation of industrial policy to prevent market players from using it for rent-seeking and to reduce the distortion of resource allocation. Third, financial institutions should engage in greater credit management in relation to industrial policy, prevent the abuse of funds, and improve credit allocation efficiency. Fourth, industrial policy should focus on creating a good market environment that supports favored industries.
Keywords:  Industrial Policy    Loan Contract    Relationship between Firm and Government    TFP    Efficiency
JEL分类号:  G21   G28   G32  
基金资助: * 本文得到国家社会科学基金项目(基金编号18BJY250)和国家留学基金委的资助。
作者简介:  李广子(通讯作者),经济学博士,副研究员,中国社会科学院金融研究所,E-mail:liguangzi@sina.com.
刘 力,教授,北京大学光华管理学院,E-mail:lli@gsm.pku.edu.cn.
引用本文:    
李广子, 刘力. 产业政策与信贷资金配置效率[J]. 金融研究, 2020, 479(5): 114-131.
LI Guangzi, LIU Li. Industrial Policy and Credit Allocation Efficiency. Journal of Financial Research, 2020, 479(5): 114-131.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2020/V479/I5/114
[1] 陈冬华、李真和新夫,2010,《产业政策与公司融资——来自中国的经验证据》,中国会计与财务研究国际研讨会论文集。
[2] 胡奕明和唐松莲,2007,《审计、信息透明度与银行贷款利率》,《审计研究》第6期,第74~84页。
[3] 江飞涛和李晓萍,2010,《直接干预市场与限制竞争:中国产业政策的取向与根本缺陷》,《中国工业经济》第9期,第26~36页。
[4] 黎文靖和李耀淘,2014,《产业政策激励了公司投资吗》,《中国工业经济》第5期,第122~134页。
[5] 黎文靖和郑曼妮,2016,《实质性创新还是策略性创新?》,《经济研究》第4期,第60~73页。
[6] 林毅夫,2016,《产业政策与国家发展——新结构经济学的视角》,北京大学国家发展研究院官方网站(http://www.nsd.pku.edu.cn)2016年11月11日。
[7] 龙海明、唐怡和风伟俊,2011,《我国信贷资金区域配置失衡研究》,《金融研究》第11期,第54~64页。
[8] 孙会霞、陈金明和陈运森,2013,《银行信贷配置、信用风险定价与企业融资效率》,《金融研究》第11期,第55~67页。
[9] 孙伟增、吴建峰和郑思齐,2018,《区位导向性产业政策的消费带动效应》,《中国社会科学》第12期,第48~69页。
[10] 王小鲁、樊纲和余静文,2017,《中国分省份市场化指数报告》,北京:社会科学文献出版社。
[11] 杨继东和罗路宝,2018,《产业政策、地区竞争与资源空间配置扭曲》,《中国工业经济》第12期,第5~22页。
[12] 叶康涛和祝继高,2009,《银根紧缩与信贷资源配置》,《管理世界》第1期,第22~28页。
[13] 余明桂、范蕊和钟慧洁,2016,《中国产业政策与企业技术创新》,《中国工业经济》第12期,第5~22页。
[14] 张敏、张胜、王成方和申慧慧,2010,《政治关联与信贷资源配置效率——来自我国民营上市公司的经验证据》,《管理世界》第11期,第143~153页。
[15] 张新民、张婷婷和陈德球,2017,《产业政策、融资约束与企业投资效率》,《会计研究》第4期,第12~18页。
[16] 祝继高、韩非池和陆正飞,2015,《产业政策、银行关联与企业债务融资》,《金融研究》第3期,第176~191页。
[17] Aghion, L., M. Dewatripont, L. Du, A. Harrison, and P. Legros. 2015. “Industrial Policy and Competition”, American Economic Journal: Macroeconomics, 7(4):1~32.
[18] Ayyagari, M., A. Demirguc-Kunt, and V. Maksimovic. 2014. “Bribe Payments and Innovation in Developing Countries: Are Innovating Firms Disproportionately Affected?”, Journal of Financial and Quantitative Analysis, 49(1): 51~75.
[19] Blonigen, B.. 2016. “Industrial Policy and Downstream Export Performance”, Economic Journal, 126(595):1635~1659.
[20] Criscuolo, C., R. Martin, H. Overman, and J. Van Reenen. 2016. “The Causal Effects of an Industrial Policy”, Working Paper.
[21] Cull, R., and L. Xu. 2003. “Who Gets Credit? The Behavior of Bureaucrats and State Banks in Allocating Credit to Chinese State-owned Enterprises”, Journal of Development Economics, 71(2): 533~559.
[22] Firth, M., C. Lin, P. Liu, and S. Wong. 2009. “Inside the Black Box: Bank Credit Allocation in China's Private Sector”, Journal of Banking & Finance, 33(6): 1144~1155.
[23] Giannetti, M., G. Liao, and X. Yu. 2015. “The Brain Gain of Corporate Boards: Evidence from China”, Journal of Finance, 70(4): 1629~1682.
[24] Irwin, D.. 2000. “Did Late Nineteenth Century U.S. Tariffs Promote Infant Industries? Evidence from the Tinplate Industry”, Journal of Economic History, 60(2): 335~360.
[25] Khwaja, K., and A. Mian. 2005. “Do Lenders Favor Politically Connected Firms? Rent Provision in an Emerging Financial Market”, Quarterly Journal of Economics, 120(4): 1371~1411.
[26] Lin, J., and H. Chang. 2009. “Should Industrial Policy in Developing Countries Conform to Comparative Advantage or Defy It? A Debate between Justin Lin and Ha-Joon Chang”, Development Policy Review, 27(5): 483~502.
[27] Miyagiwa, K., and Y. Ohno. 1999. “Credibility of Protection and Incentives to Innovate”, International Economic Review, 40(1): 143~63.
[28] Nolan, M., and H. Pack. 2003. “Industrial Policy in an Era of Globalization: Lessons from Asia”, Published by Peterson Institute Press.
[29] Ohashi, H.. 2005. “Learning by Doing, Export Subsidies, and Industry Growth: Japanese Steel in the 1950s and 1960s”, Journal of International Economics, 66(2): 297~323.
[30] Okuno-Fujiwara, M.. 1988. “Interdependence of Industries, Coordination Failure, and Strategic Promotion of an Industry”, Journal of International Economics, 25(1-2): 25~43.
[31] Pack, H.. 2000. “Industrial Policy: Growth Elixir or Poison?” World Bank Research Observer, 15(1): 47-67.
[32] Pack, H., and K. Saggi. 2006. “Is There a Case for Industrial Policy? A Critical Survey”, World Bank Research Observer, 21(2): 267~297.
[33] Rodrik, D.. 2004. “Industrial Policy for the Twenty-first Century”, Working Paper.
[34] Rodrik, D.. 2008. “Normalizing Industrial Policy”, Working Paper.
[35] Schoar, A.. 2002. “Effects of Corporate Diversification on Productivity”, Journal of Finance, 57(6): 2379~2403.
[36] Sohal, A., and B. Ferme. 1996. “An Analysis of the South Korean Automotive, Shipbuilding and Steel Industries”, Benchmarking: An International Journal, 3(2): 15~30.
[37] Sutton, J.. 2005. “The Auto-component Supply Chain in China and India: A Benchmark Study”, in Francois Bourguignon and Boris Pleskovic, eds., Annual Bank Conference on Development Economics 2005: Lessons of Experience, Washington D.C., World Bank.
[38] Westphal, L.. 1990. “Industrial Policy in an Export-Propelled Economy: Lessons from South Korea's Experience”, Journal of Economic Perspectives, 4(3): 41~59.
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