|
|
Can a Targeted Supporting Policy Ease the Financing Constraints on Private Enterprises? Evidence from Debt Financing Supporting Tools |
XU Guang, ZHAO Qian, WANG Yuguang
|
PBC School of Finance, Tsinghua University; School of International Trade and Economics, Central University of Finance and Economics; School of Economics, Xiamen University |
|
|
Abstract The private economy plays an important role in China's rapid economic development. However, in recent years, private enterprises have suffered from financing difficulties, and regulatory authorities have issued a series of measures to address this problem. Among these measures, debt financing for private enterprises is a targeted support policy that aims to ease the external financing constraints on private enterprises in a market-oriented operation mode. This policy introduces derivatives such as CRMWs, which are sold at the same time as bonds are issued, allowing investors to avoid the risk of default by purchasing CRMWs. Can this targeted supporting policy successfully support private enterprises? If so, what is the specific mechanism? This study uses data on the interbank bond market to empirically examine the impact of the targeted supporting policy on private enterprises' bond financing. We collect 2,347 samples from the April 2018 to March 2019 period, which represent bonds from 655 private enterprises and 1,692 state-owned enterprises. The data are mainly from the Wind database. The data on the cancellation of bond issuances are obtained from the Shanghai Clearing House. First, we review the background of the policy and construct a theoretical framework. We point out that this policy has both a signal transmission effect and a CRMW insurance effect. Both effects could effectively alleviate the financing constraints on private enterprises. The signal transmission effect works for all private enterprises, whereas the CRMW insurance effect only works for private enterprises with lower ratings. Based on this finding, we then conduct an empirical analysis to determine which effect is stronger. We use the difference-in-differences (DID) method to determine whether the policy can successfully target private enterprises. In the follow-up, we further explore the CRMW insurance effect. We make the following findings. First, after the announcement of a debt financing tool for private enterprises, the price of private enterprises' bonds dropped, and it became easier for them to issue bonds successful bonds. Using a DID analysis as a robustness test, we find that the bond issuing price of private enterprises fell more than that of state-owned enterprises after the announcement of the policy, indicating that it successfully targeted private enterprises. Second, the signal transmission effect of the target supporting policy is strong, whereas the insurance effect of CRMWs is weak. This is shown by the fact the private enterprises' bonds with different ratings all showed a decrease in issuing price and an increase in the probability of successful issuance after the policy was issued. Third, the effect of CRMW on loosening the financing constraints on private enterprises has not been fully realized. Although the role of CRMW in directly reducing the issuing price of private enterprises' bonds is not obvious, this effect significantly increases the probability of successfully issuing bonds, which can indirectly reduce the comprehensive financing cost. This study offers the following insights. First, targeted supporting policies in the bond market can accurately support private enterprises. We should promote more such policies. Second, CRMW is currently more helpful for solving the issuing problem than the pricing problem. It is necessary to consider the tradeoff between high-probability issuance with high-cost financing and low-probability issuance with low-cost financing when deciding whether to use CRMW. Third, as the CRMW insurance effect has not been fully realized, more policies supporting CRMW are needed. It is necessary not only to strengthen the breadth and depth of investor education, but also to promote more supporting measures, such as capital charge. The contributions of this study are as follows. First, we discuss not only the impact of the targeted supporting policy on the bond issuing price, but also the impact of the policy on the availability of corporate bond financing based on the cancellation of bond issuances, which provides a large sample for a comprehensive review of policy effects. Second, unlike previous studies, we focus on whether the targeted supporting policy can effectively act on the object of the policy; specifically, we conduct an in-depth study of the policy's structural adjustment effect, which provides a new perspective on the policy. Third, we theoretically show that the targeted supporting policy can operate through a signal transmission effect and the insurance effect of CRMW, and then use DID and PSM, respectively, to verify each effect. This provides not only new theoretical support for understanding the policy transmission mechanism, but also a more detailed and targeted empirical basis for evaluating the role of policy.
|
Received: 19 March 2019
Published: 13 January 2020
|
|
|
|
[1] |
卞志村和张义,2012,《央行信息披露, 实际干预与通胀预期管理》,《经济研究》第12期,第15~28页。
|
[2] |
郭豫媚和周璇,2018,《央行沟通、适应性学习和货币政策有效性》,《经济研究》第4期,第77~91页。
|
[3] |
卢盛峰和陈思霞,2017,《政府偏袒缓解了企业融资约束吗?———来自中国的准自然实验》,《管理世界》第5期, 第51~65。
|
[4] |
罗党论和甄丽明,2008,《民营控制, 政治关系与企业融资约束——基于中国民营上市公司的经验证据》,《金融研究》第12期, 第164~178页。
|
[5] |
钱雪松和方胜,2017,《担保物权制度改革影响了民营企业负债融资吗?——来自中国〈物权法〉自然实验的经验证据》,《经济研究》第5期,第146~160页。
|
[6] |
苏冬蔚和连莉莉,2018,《绿色信贷是否影响重污染企业的投融资行为?》,《金融研究》第12期,第123~137页。
|
[7] |
汪莉和王先爽,2015,《央行预期管理, 通胀波动与银行风险承担》,《经济研究》第10期,第34~48页。
|
[8] |
于蔚、汪淼军和金祥荣,2012,《政治关联和融资约束: 信息效应与资源效应》,《经济研究》第9期, 第125~139页。
|
[9] |
Aghion,P., M. Dewatripont,and L. Du,2012, “Industrial Policy and Competition”, National Bureau of EconomicResearch.
|
[10] |
Bindseil, U. and F. Papadia, 2006, “Credit Risk Mitigation in Central Bank Operations and Its Effects on Financial markets: the case of the euro system”, ECB Occasional Paper, No.49, pp. 1~34.
|
[11] |
Chang, C. C., V. S. Lai and M. T. Yu, 2002, “Credit Enhancement and Loan Default Risk Premiums”, Canadian Journal of Administrative Sciences/Revue Canadienne des Sciences de l'Administration, 19(3), pp.301~312.
|
[12] |
Duffee, G. R. and C. Zhou, 2001, “Credit Derivatives in Banking: Useful Tools for Managing Risk?” , Journal of Monetary Economics, 48(1), pp.25~54.
|
[13] |
Faulkender,M.and M.A.Petersen, 2006, “Does the Source of Capital Affect Capital Structure?” Review of Financial Studies,19(1), pp.45~79.
|
[14] |
Lai, V.S. and I. Soumaré, 2010, “Credit Insurance and Investment: A Contingent Claims Analysis Approach”, International Review of Financial Analysis, 19(2), pp.98~107.
|
[15] |
Lemmon,M., and M.R.Roberts,2010, “The Response of Corporate Financing and Investment to Changes in the Supply of Credit”, Journal of Financial and Quantitative Analysis,45(3), pp. 555~587.
|
[16] |
Rodrik Dani.,1996, “Coordination Failures and Government Policy: A Model with Application to East Asia and EasternEurope,” Journal of International Economics,(40),pp.1~21.
|
[17] |
Ullrich,K., 2008,“Inflation Expectations of Experts and ECB Communication”, North American Journal of Economics and Finance,19(1), pp.93~108.
|
|
|
|