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Gold Science and Technology ›› 2022, Vol. 30 ›› Issue (5): 787-796.doi: 10.11872/j.issn.1005-2518.2022.05.035

• Mining Technology and Mine Management • Previous Articles     Next Articles

Tax, Enterprise Size and High-quality Development—Micro Evidence from Mining Enterprises

Minggui ZHENG1,2(),Yu DANG1()   

  1. 1.Mining Development Research Center, 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:2022-02-28 Revised:2022-04-07 Online:2022-10-31 Published:2022-12-10
  • Contact: Yu DANG E-mail:mgz268@sina.com;dy18370956388@163.com

Abstract:

Under the new normal of China’s economy,tax,as the key to the high-quality development of enterprises,has attracted extensive attention.As the basic industry of the national economy,mining industry is in a special institutional environment different from manufacturing industry,which plays a vital role in the high-quality development of China’s economy.Taking mining enterprises from 2014 to 2019 as the research sample,this paper studies the relationship between tax and high-quality development of enterprises.Among them,based on the input-output perspective,this paper selected the total output value of mining enterprises as the output index,the total assets as the capital input index,and the number of employees at the end of the year as the labor input index to construct the DEA-Malmquist index,and used the obtained value to measure the high-quality development level of enterprises.The results show that there are some differences in total factor productivity of Chinese mining enterprises from 2014 to 2019,and the average total factor productivity level is low,that is,the high-quality development level of mining enterprises is generally low.When discussing the impact of enterprise tax on the development level of China’s mining enterprises,the high-quality development level was selected as the explanatory variable,the ratio of the total tax paid by enterprises to the main business income was used to measure the tax of enterprises as the explanatory variable,and the rate of return on total assets,density of tangible assets,asset liability ratio,enterprise age,nature of enterprise property rights were selected as the control variables.Using panel regression analysis,property right and regional heterogeneity analysis,this paper tested the impact of enterprise tax on the high-quality development of mining enterprises,and further considered the regulatory effect of enterprise size on them.The results show that:(1)There is a significant negative rela-tionship between tax and the high-quality development of mining enterprises.(2)Compared with large-scale enterprises,small-scale mining enterprises have a stronger inhibitory effect on high-quality development.(3)In the further analysis of property rights and regional heterogeneity,it is found that non-state-owned enterprises and mining enterprises in the eastern region have a more significant inhibitory effect on high-quality development.According to the empirical results,this paper believes that the state should strengthen tax reduction and fee reduction to further improve the high-quality development level of mining enterprises.

Key words: tax, total factor productivity, DEA-Malmquist, mining enterprises, enterprise size, heterogeneity

CLC Number: 

  • F810.42

Table 1

Variable definition"

变量类型变量名称符号变量定义
被解释变量企业高质量发展TFP全要素生产率
解释变量企业税收tax企业缴纳的税费总额/营业收入
控制变量总资产收益率roa企业营业利润/营业总收入
有形资产密集度ppe总资产/营业收入
资产负债率lev企业总负债/总资产
企业年龄age所研究年份减去企业成立年加1取对数
企业产权性质state企业为国有取1,非国有取0
年份虚拟变量year共6个年份,生成5个虚拟变量
企业所处地区reg东部、中部、西部,分别赋值为1、2、3
调节变量企业规模size企业年末总资产取对数

Table 2

Variable descriptive statistical results"

变量单位平均值标准差最小值最大值
企业营业总收入亿元12.3932786.153660.005052 980.171
资产总计亿元16.05374105.03350.000152 764.312
员工人数1868.328 527.5851130 403
TFP-1.3551.2850.10510.198
tax%0.3190.1160.0130.523
roa%0.1260.160-0.2510.730
ppe%0.8130.9620.0276.653
lev%0.7421.2280.00411.034
age2.4470.5980.6934.736
size千元11.132.2242.70819.437

Table 3

Variable correlation analysis"

变量TFPtaxsizeppelevageroa
TFP1.000
tax-0.038**1.000
size-0.091***0.419***1.000
ppe-0.077***0.257***0.440***1.000
lev-0.439**-0.052***0.013***-0.0101.000
age-0.0090.186***0.385***0.144***-0.0041.000
roa0.072***0.374***0.180***-0.026-0.0080.0271.000

Table 4

Model regression results"

变量(1)(2)(3)
TFPTFPTFP
tax--3.993***(-3.72)-16.619***(-3.27)
tax×size--1.0622**(2.54)
size-1.075***(-13.34)-1.056***(-13.11)-1.141***(-13.10)
ppe-0.247***(-5.42)-0.237***(-5.19)-2.445***(-5.37)
lev-0.203***(-25.84)-0.205***(-26.10)-0.209***(-26.08)
age2.184*(2.48)2.046*(2.32)2.316***(2.62)
roa1.595***(4.30)1.810***(4.83)1.915***(5.09)
state-0.962*(-2.13)-0.860***(-1.91)-0.879***(-1.95)
year控制控制控制
reg控制控制控制
cons8.908***(4.15)9.214***(4.30)9.593***(4.47)
N735735735
R20.3120.3160.318

Table 5

Heterogeneity analysis"

变量产权异质性区域异质性
(4)(5)(6)(7)(8)
国有非国有东部中部西部
tax

-3.838

(-1.92)

-4.807***

(-4.48)

-4.004***

(-3.93)

-6.358

(-1.59)

-0.052

(-0.03)

size

0.152*

(2.13)

-0.095***

(-12.11)

-0.514***

(-6.24)

-1.612***

(-4.27)

-0.717***

(-4.23)

ppe

-0.094

(-1.01)

-0.297***

(-4.88)

-0.303***

(-5.22)

-0.289*

(-2.39)

0.024

(0.45)

lev

0.331***

(3.73)

-0.212***

(-31.02)

-0.229***

(-36.81)

0.180

(0.47)

0.001

(0.02)

age

-0.177

(-0.95)

1.868*

(1.91)

1.427

(1.61)

0.057

(1.52)

1.307

(0.91)

roa

1.393

(1.88)

0.389**

(2.40)

0.742

(1.52)

-1.559

(-0.57)

1.393***

(4.48)

state--

-1.351*

(-2.43)

-1.836

(-1.51)

0.741

(1.44)

year控制控制控制控制控制
reg控制控制---
cons

0.216

(0.19)

7.914***

(3.81)

4.364*

(2.27)

25.392***

(3.36)

7.310*

(2.07)

N185697593180109
R20.5780.4270.5050.1150.653

Table 6

TSLS regression results"

变量Stage1Stage2
taxTFP
tax--2.643***(-3.85)
L.tax0.529***(26.29)-
size0.004***(5.41)0.061*(2.05)
ppe0.005***(6.15)-0.103***(-2.78)
lev-0.001***(-3.36)-0.246***(-37.78)
age0.004(1.82)-0.042(-0.47)
roa0.169***(21.72)-0.146(-0.32)
year控制控制
reg控制控制
cons-0.019**(-2.56)0.921***(2.91)
N735735
R20.5500.355

Table 7

Regression results of changing measurement methods"

变量yTFP
(9)(10)(11)(12)(13)
tax-

-1.303***

(-4.62)

-8.679***

(-6.54)

--
tax×size--

0.621***

(5.68)

--
tax1---

-4.398***

(-4.07)

-2.931**

(-6.07)

taxsize---

0.127***

(1.93)

size

0.188***

(8.88)

0.194***

(9.18)

0.145***

(6.36)

-0.084***

(-2.93)

-0.050***

(-3.64)

ppe

-0.154***

(-12.88)

-0.151***

(-12.62)

-0.156***

(-13.07)

-0.115***

(-3.56)

-0.076***

(-5.49)

lev

-0.009

(-0.38)

-0.001

(-0.71)

-0.004

(-1.88)

-0.221***

(-32.63)

0.212***

(16.28)

age

-1.305***

(-5.63)

-1.350***

(-5.84)

-1.916***

(-5.15)

0.065

(0.78)

0.103***

(2.82)

roa

0.450***

(4.61)

0.520***

(5.29)

0.581***

(5.91)

0.936***

(3.56)

1.035***

(8.70)

state

0.056

(0.47)

0.089

(0.76)

0.078***

(0.66)

0.394***

(2.71)

0.209***

(3.24)

year控制控制控制控制控制
reg控制控制控制控制控制
cons

6.897***

(12.21)

6.997***

(12.42)

7.218***

(12.86)

3.276***

(10.59)

1.803***

(12.45)

N735735735735735
R20.2330.2390.2490.2520.228
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