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Gold Science and Technology ›› 2021, Vol. 29 ›› Issue (3): 457-466.doi: 10.11872/j.issn.1005-2518.2021.03.025

• Mining Technology and Mine Management • Previous Articles     Next Articles

Financing Channels,Government Subsidies and R&D Investment of Chinese Mining Enterprises

Minggui ZHENG1,2(),Jing ZHANG1(),Juan DONG1   

  1. 1.School of Economics and Management,Jiangxi University of Science and Technology,Ganzhou 341000,Jiangxi,China
    2.School of Management,University of Science and Technology of China,Hefei 230026,Anhui,China
  • Received:2021-02-07 Revised:2021-04-22 Online:2021-06-30 Published:2021-07-14
  • Contact: Jing ZHANG E-mail:mgz268@sina.com;eduzhangjing@163.com

Abstract:

As a basic industry,mining needs innovative support in key links such as mining,dressing and metallurgy,so as to solve the problem of extensive and inefficient production,boost the construction of green mines and realize the high-quality development of mining.Research and development(R&D) funds are the premise and foundation for enterprises to carry out innovative R&D activities,and the quantity and quality of innovative achievements largely depend on the support of financing system and policy environment.Then,under the control of the “invisible hand” of the market,can the current financing channels of Chinese mining enterprises promote the R&D investment of enterprises?At the same time,under the intervention of the “visible hand” of the government,what role does the government subsidy obtained by mining enterprises play in the relationship between financing channels and R&D investment of enterprises?In this paper,starting from the sources of R&D investment,the listed mining companies in China from 2012 to 2019 were selected as samples,and the feasible generalized least squares method was used for empirical test.It is found that:(1)Both endogenous financing and exogenous financing can significantly promote R&D investment of Chinese mining enterprises.By further dividing the sources of external financing,it is found that equity financing can significantly promote R&D investment of mining enterprises,while debt financing has no significant impact. (2)Government subsidies have a significant positive regulatory effect on the relationship between endogenous financing and R&D investment of mining enterprises.(3)Government subsidies play a role of signal transmission in the relationship between external financing and R&D investment of mining enterprises,that is,government subsidies help mining enterprises to obtain more external financing,thus promoting the establishment of an intermediary role path for R&D investment of enterprises.To some extent,the conclusions of this paper provide reference value for R&D financing of mining enterprises in China,and provide microscopic evidence for the government to formulate relevant subsidy policies,and promote independent innovation of enterprises and the development of capital market.

Key words: endogenous financing, exogenous financing, government subsidies, R&D investment, signal transmission effect, mining listed companies

CLC Number: 

  • F273.1

Table 1

Definition of main variables"

变量

符号

变量名称计算方法
R&D研发投入研发支出/营业总收入
EnFund内源融资(盈余公积+未分配利润)/总资产
ExFund外源融资筹资活动现金流净额/总资产
Equity股权融资(股本+资本公积)/总资产
Debt债权融资(短期借款+长期借款+应付债券)/总资产
Sub政府补助政府补助/总资产
Size企业规模总资产的自然对数
Age企业年龄计算年-成立年,并取自然对数
Share股权集中度第一大股东持股比例
Cap资本密集度固定资产净额/总资产
Growth企业成长性营业总收入增长率
Year年度效应年度虚拟变量

Table 2

Descriptive statistical results of variables"

变量平均值标准差最小值最大值
R&D0.0170.0170.0000.152
EnFund0.1620.142-0.6390.554
ExFund0.0090.092-0.3080.527
Equity0.2960.1710.0261.148
Debt0.2410.1420.0000.663
Sub0.0040.0070.0000.114
Size23.3101.57720.01528.636
Age2.8020.2831.6093.526
Share43.40716.6983.39089.990
Cap0.3170.1370.0000.766
Growth0.1420.789-0.63419.702

Table 3

Regression results of the influence of financing channels on R&D investment of enterprises"

变量回归系数
模型(1)模型(2)模型(3)模型(4)
EnFund0.0043**0.0099***0.0091***
(2.16)(4.92)(3.54)
ExFund0.0080***0.0100***
(6.58)(8.06)
Equity0.0161***
(7.25)
Debt0.0028
(1.40)
Size-0.3900***-0.4370***-0.4720***-0.2930***
(-17.72)(-20.34)(-23.66)(-12.46)
Age-0.4500***-0.6750***-0.5220***-0.4820***
(-4.83)(-5.60)(-5.03)(-5.62)
Share0.0064***0.0075***0.0070***0.0069***
(2.67)(3.13)(2.86)(3.05)
Cap1.2460***1.4200***1.5660***1.6730***
(7.21)(7.95)(8.90)(10.14)
Growth-0.0445**-0.0461**-0.0486**-0.0416**
(-2.23)(-2.31)(-2.38)(-2.13)
year控制控制控制控制
cons10.9900***12.6300***12.8900***8.0880***
(18.06)(23.87)(24.71)(12.37)
Wald chi2427.24***656.91***966.74***892.46***
N849847847844

Table 4

Adjustment effect test of government subsidy"

变量回归系数
模型(5)模型(6)
EnFund0.0117***0.0131***
(6.15)(7.65)
ExFund0.0105***0.0109***
(8.61)(9.15)
Sub0.03220.1620***
(0.94)(4.32)
EnFund × Sub0.0079***
(5.14)
Size-0.4500***-0.4140***
(-22.24)(-21.50)
Age-0.5130***-0.5340***
(-5.12)(-6.05)
Share0.0069***0.0075***
(2.87)(3.27)
Cap1.7900***1.8440***
(10.26)(11.40)
Growth-0.0471**-0.0421**
(-2.35)(-2.04)
year控制控制
cons12.2500***11.3600***
(23.87)(24.05)
Wald chi2991.59***1 458.19***
N847847

Table 5

Signal transmission effect test of government subsidy"

变量回归系数
模型(7)模型(8)模型(9)
Sub0.0721**0.5960**0.0778**
(2.29)(2.09)(2.09)
ExFund0.0188***
Size-0.3350***-0.3950***-0.3000***
(-24.40)(-3.54)(-12.93)
Age-0.0771-5.8460***-0.1530***
(-0.75)(-7.25)(-3.38)
Share0.0051**-0.0311***0.0066***
(2.03)(-2.76)(2.70)
Cap1.2110***-13.8700***3.0220***
(6.75)(-8.18)(17.57)
Growth-0.0605***1.0920***-0.0840***
(-2.98)(3.93)(-4.14)
cons9.4960***28.6300***9.0970***
(30.40)(8.99)(19.66)
Wald chi24 334.24***176.67***4 850.65***
N849851847
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