产业集聚对中国木材企业全球价值链地位的作用机制及其实现路径

doi:10.11707/j.1001-7488.LYKX20230091

Abstract

Abstract:

Objective: To clarify the mechanism of industrial agglomeration on enterprises’ GVC (global value chain) position and provide policy implications for wood enterprises to enhance their GVC position through industrial agglomeration. Method: Taking the export domestic value added rate (DVAR) as an index of the enterprises’ GVC position, a theoretical framework of the role of industrial agglomeration on DVAR was constructed. Based on the sample of 15 406 Chinese wood enterprises and customs trade data, the mediating effect model was applied to study the impact of industrial agglomeration on DVAR through the two paths of enterprise cost plus rate and the relative price of domestic intermediate goods. Result: 1) Overall, the clustering of the wood industry has significantly increased DVAR, with increase in clustering level of 1 unit resulting in an increase of 0.002 3 units in DVAR. 2) Specifically, for all sub-industries in the wood industry, the impact of industrial agglomeration on DVAR shows heterogeneity: increases in each unit of industrial agglomeration level has significantly increased the DVAR of wood-based panel industry by 0.014 1 units; the impact on the DVAR of wood processing industry and wood products industry is not significant; agglomeration reduces the DVAR of the wooden furniture industry by 0.006 8 units. 3) From the perspective of enterprise heterogeneity, compared with processing trade enterprises and foreign investment enterprises, industrial agglomeration significantly promotes the improvement of DVAR of general trade enterprises and local enterprises. There is no “inverted U” and “N” nonlinear relationship, that is, the production of enterprises is still in the range of increasing returns to scale, and further agglomeration of wood industry can still improve DVAR. 4) The results of the mediating effect model show that: the estimated coefficient of the cost plus rate and the relative price of domestic intermediate goods on DVAR is significantly positive, and for every 1 unit increase in the cost plus rate, DVAR is significantly increased by 0.066 0 units; For every 1 unit decrease in the relative price of domestic intermediate products, DVAR significantly increases by 0.151 5 units. Conclusion: Industrial agglomeration can improve the overall DVAR of the wood industry through two ways: the pool effect of labor, the sharing effect of intermediate inputs and the spillover effect of knowledge and technology to promote the increase of enterprise cost markup rate and the reduction of the relative price of domestic intermediate products, but there are industry heterogeneity and enterprise heterogeneity. Therefore, it is necessary to reasonably guide the formation of wood industry agglomeration and optimize the layout. Under the new pattern of dual circulation, taking advantage of technological innovation and talent to drive the wood industry agglomeration and exerting a positive spillover effect in order to promote wood enterprises to gradually reduce their dependence on the international market and achieve a development path based on economic internal circulation through local industrial agglomeration.

Key words: industrial agglomeration, enterprises’ GVC (global value chain) position, export domestic added value rate, wood enterprises, cost plus rate

CLC Number:

F307.2

Fangmiao Hou,Hongfei Wang,Can Liu,Bingyue Shuai. Mechanism of Industrial Agglomeration on Chinese Wood Enterprises’ GVC (Global Value Chain) Position and Its Realization Path[J]. Scientia Silvae Sinicae, 2023, 59(12): 137-151.

Figures/Tables 13

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变量Variable	木材产业整体 Wood industry		木材加工业 Wood processing industry		人造板制造业 Wood-based panel industry		木制品制造业 Wood products industry		木质家具制造业 Wooden furniture industry
变量Variable	平均值 Mean	标准差 Std.	平均值 Mean	标准差 Std.	平均值 Mean	标准差 Std.	平均值 Mean	标准差 Std.	平均值 Mean	标准差 Std.
scale	8.78	1.54	8.91	1.34	8.93	1.46	8.73	1.57	8.74	1.55
age	8.89	23.96	8.07	6.71	7.90	5.19	8.75	5.45	9.41	33.75
pi	0.16	0.33	0.19	0.36	0.08	0.24	0.21	0.36	0.16	0.33
ci	82.01	221.30	173.84	141.35	90.37	174.4	86.65	197.2	75.42	251.80
soe	0.56	0.49	0.49	0.50	0.71	0.45	0.54	0.50	0.49	0.50
foe	0.44	0.49	0.51	0.50	0.29	0.45	0.46	0.50	0.51	0.50
N	15 406		792		3 441		3 998		7 175

变量Variable	木材产业整体 Wood industry		木材加工业 Wood processing industry		人造板制造业 Wood-based panel industry		木制品制造业 Wood products industry		木质家具制造业 Wooden furniture industry		预期 Expectation
变量Variable	平均值 Mean	标准差 Std.	平均值 Mean	标准差 Std.	平均值 Mean	标准差 Std.	平均值 Mean	标准差 Std.	平均值 Mean	标准差 Std.	预期 Expectation
DVAR	0.79	0.78	0.46	1.27	0.77	0.84	0.78	0.79	0.84	0.65
agg	0.75	1.34	1.17	1.23	1.18	1.42	0.79	1.3	0.48	1.26	+
Markup	1.17	2.41	1.05	1.62	1.15	0.38	1.23	4.08	1.15	1.68	+
P^D/P^I	0.69	0.48	0.58	0.46	0.76	0.39	0.65	0.64	0.69	0.41	+
scale	8.78	1.54	8.91	1.34	8.93	1.46	8.73	1.57	8.74	1.55	+
age	8.89	23.96	8.07	6.71	7.90	5.19	8.75	5.45	9.41	33.75	+
pi	0.16	0.33	0.19	0.36	0.08	0.24	0.21	0.36	0.16	0.33	?
ci	82.01	221.30	173.84	141.35	90.37	174.4	86.65	197.2	75.42	251.80	?
tfp	4.28	0.85	3.65	1.71	4.52	0.81	4.27	0.89	4.18	0.83	+
soe	0.56	0.49	0.49	0.50	0.71	0.45	0.54	0.50	0.49	0.50	+/?
foe	0.44	0.49	0.51	0.50	0.29	0.45	0.46	0.50	0.51	0.50	+
N	15 406		792		3 441		3 998		7 175

变量 Variable	木材产业整体 Wood industry		木材加工业 Wood processing industry		人造板制造业 Wood-based panel industry		木制品制造业 Wood products industry		木质家具制造业 Wooden furniture industry
agg	0.005 1*** (3.06)	0.002 3** (2.38)	?0.017 1 (?1.02)	?0.016 3 (?1.34)	0.016 0*** (2.79)	0.014 1*** (2.65)	0.010 5 (1.61)	0.023 6 (1.56)	?0.001 5* (?1.78)	?0.006 8* (?1.83)
scale		?0.006 0 (?0.62)		?0.034 0 (?0.48)		?0.042 0 (?1.16)		?0.040 0* (?1.81)		0.002 0 (0.16)
age		0.058 0*** (3.81)		0.222 0** (2.28)		?0.047 0 (?0.86)		0.138 0*** (4.51)		0.046 0*** (2.59)
pi		?0.048 0** (?2.17)		?0.150 0*** (?5.16)		?0.080 0*** (?5.86)		?0.050 0*** (?5.76)		?0.030 0*** (?7.39)
ci		?0.010 0 (0.81)		0.006 0 (0.07)		0.013 0 (0.31)		0.019 0 (0.80)		?0.005 0 (?0.37)
tfp		0.038 0 (0.85)		0.173 0* (1.75)		0.193 0 (1.33)		0.007 0 (0.09)		0.118 0** (2.06)
soe		0.006 0 (0.19)		?0.029 0 (?0.21)		0.127 0* (1.80)		?0.026 0 (?0.59)		0.049 0* (1.67)
foe		?0.001 0 (?0.33)		?0.026 0* (?1.73)		?0.033 0 (?1.06)		?0.004 0 (?0.06)		?0.103 0 (?0.21)
cons	0.125 0** (27.24)	0.426 0*** (4.44)	0.180 0*** (2.328)	0.194 0*** (2.35)	0.137 0*** (12.64)	0.417 0** (1.35)	0.017 0*** (14.09)	0.385 0** (2.07)	0.104 0** (2.52)	0.534 0*** (4.44)
控制变量 Control variable	否 N	是 Y	否 N	是 Y	否 N	是 Y	否 N	是 Y	否 N	是 Y
企业固定 Enterprise fixed	是 Y	是 Y	是 Y	是 Y	是 Y	是 Y	是 Y	是 Y	是 Y	是 Y
年份固定 Fixed year	是 Y	是 Y	是 Y	是 Y	是 Y	是 Y	是 Y	是 Y	是 Y	是 Y
R²	0.244 0	0.295 0	0.220 0	0.321 0	0.292 0	0.402 0	0.203 0	0.419 0	0.214 0	0.345 0
N	15 406	15 406	792	792	3 441	3 441	3 998	3 998	7 175	7 175

变量Variable	Markup	DVAR	P^D/P^I	DVAR
agg	0.003 0* (1.92)	0.002 9* (1.88)	0.003 1*** (3.35)	0.001 9** (2.27)
Markup		0.066 0*** (4.19)
P^D/P^I				0.151 5*** (5.44)
agg×Markup		0.023 7*** (2.96)
agg× (P^D/P^I)				?0.0032* (?1.78)
cons	0.111 0*** (42.07)	?0.116 0*** (?26.05)	?5.152 0*** (?18.33)	?0.031 0*** (?7.30)
控制变量 Control variable	是 Y	是 Y	是 Y	是 Y
企业固定 Enterprise fixed	是 Y	是 Y	是 Y	是 Y
年份固定 Fixed year	是 Y	是 Y	是 Y	是 Y
R²	0.170 0	0.120 0	0.200 0	0.150 0
N	15 406	15 406	15 406	15 406

变量Variable	Markup	DVAR	P^D/P^I	DVAR
agg	0.002 7 (0.23)	?0.012 9 (?0.06)	?0.066 0 (?1.30)	?0.012 1 (?0.91)
Markup		0.075 0 (0.63)
P^D/P^I				0.222 0*** (6.97)
agg×Markup		?0.013 4 (?1.61)
agg×(P^D/P^I)				0.012 (1.09)
cons	0.127 0*** (5.64)	?0.189 0*** (?5.28)	?0.929 0*** (?7.94)	0.009 0 (0.41)
控制变量 Control variable	是 Y	是 Y	是 Y	是 Y
企业固定 Enterprise fixed	是 Y	是 Y	是 Y	是 Y
年份固定 Fixed year	是 Y	是 Y	是 Y	是 Y
R²	0.110 0	0.280 0	0.290 0	0.260 0
N	792	792	792	792

Mechanism of Industrial Agglomeration on Chinese Wood Enterprises’ GVC (Global Value Chain) Position and Its Realization Path

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变量Variable	使用区位熵滞后一期值Use location entropy to lag one phase	使用1995年各地级市人口数 Use the population of prefecture-level cities in 1995	使用区位熵滞后一期值和1995年各地级市人口数Use location entropy to lag one phase and the population of prefecture-level cities in 1995
agg	0.006 6*** (2.77)	0.007 1*** (3.58)	0.013 39*** (3.21)
不可识别检验 LM统计量 Unidentifiable test LM statistic	112.35	189.22	76.70
弱工具变量检验F统计量 Weak instrumental variables test F statistics	90.21	216.34	133.21
Sargen-P	0.225	0.232	0.244
R²	0.025	0.013	0.021
N	15 406	15 406	15 406

变量Variable	木材产业整体Wood industry			人造板制造业Wood-based panel industry
变量Variable	DVAR	DVAR	DVAR	DVAR	DVAR	DVAR
agg	0.0029** (2.31)	0.0022* (1.71)	0.0028* (1.69)	0.0113** (1.98)	0.0107** (2.28)	0.0231** (2.33)
agg²	0.0024 (1.14)	0.002 (1.35)	0.0029 (1.24)	0.0052* (1.90)	0.0044* (1.78)	0.0057 (1.40)
agg³			?0.0003 (?0.72)			?0.0018 (?1.49)
cons	?0.13*** (?27.03)	?0.03 (?1.41)	?0.13*** (?25.16)	?0.15*** (?11.82)	?0.02* (1.92)	?0.16*** (?11.77)
控制变量 control variable	否 N	是 Y	是 Y	否 N	是 Y	是 Y
企业固定 Enterprise fixed	是 Y	是 Y	是 Y	是 Y	是 Y	是 Y
年份固定 Fixed year	是 Y	是 Y	是 Y	是 Y	是 Y	是 Y
R²	0.41	0.48	0.40	0.53	0.51	0.39
N	15 406	15 406	15 406	3 441	3 441	3 441