中国重点产业创新产出时空分异及影响因素

doi:10.11821/dlyj020170366

Abstract

Abstract:

The innovation, development and technological progress of the ten key industries (iron and steel, automobiles, ships, petrochemicals, textiles, light industry, nonferrous metals, equipment manufacturing, electronic information and logistics) in China are highly concerned by the state and expected by the public. So the research on it is of great significance. Firstly, the Mann-Kendall method is used to divide the development stages of the ten key industries of China from 1994 to 2014, and to understand the evolution of the key industries. Secondly, this paper analyzes the innovation output difference, spatial pattern and spatial-temporal transfer characteristics of key industries in the prefecture-level cities by using the Theil index, Markov and spatial Markov chains method respectively. Finally, based on factor analysis and multiple regression model, this paper discusses the factors that influence the spatial differentiation of the innovation development of the ten key industries in China. The conclusions are drawn as follows: (1) The development of the innovation outputs of the ten key industries can be divided into two stages (the first stage is from 1995 to 2006, the second stage is from 2007 to 2014), and the result of innovation outputs of the ten key industries is in exponential growth. (2) The difference of the innovation outputs of the ten key industries increased at first and then decreased, and the inter-regional difference among the four regions (Eastern, Central, Western and Northeastern China) is less than the intra-regional difference. The development of innovation outputs of the ten key industries presents the dual characteristics of contagious and hierarchical diffusion. (3) The neighborhood environment plays an important role in the development of the ten key industries. Under different environmental constraints, the transition probability of different types of unit is different, and the higher the neighborhood environment level is, the stronger the driving force to low level units is. In the two periods, the transferred units of the innovation outputs of the ten key industries are mainly concentrated in the eastern and central regions of China. The activity of the transfer is increasing, and the transferred units are concentrated in spatial distribution. (4) The social economic and policy factors and the basic condition of higher education have obvious positive driving effect on the innovation and development of the ten key industries, while the effect of industrialization is weak. In the next period of time, the innovation and development competitiveness of the ten key industries can be improved by strengthening the investment in the foundation of higher education and intellectual capital.

Key words: key industries, innovation outputs, spatial-temporal differentiation, neighborhood environment, influencing factor, China

Binyan WANG, Shijun WANG, Junfeng TIAN, Feilong HAO. Spatial-temporal characteristics of innovation output and its influencing factors of the key industries in China[J].GEOGRAPHICAL RESEARCH, 2019, 38(2): 259-272.

Figures/Tables 10

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Tab. 5

References 34

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空间滞后	t/t+1	1	2	3	4
1	1	M₁₁₍₁₎	M₁₂₍₁₎	M₁₃₍₁₎	M₁₄₍₁₎
	2	M₂₁₍₁₎	M₂₂₍₁₎	M₂₃₍₁₎	M₂₄₍₁₎
	3	M₃₁₍₁₎	M₃₂₍₁₎	M₃₃₍₁₎	M₃₄₍₁₎
	4	M₄₁₍₁₎	M₄₂₍₁₎	M₄₃₍₁₎	M₄₄₍₁₎
2	1	M₁₁₍₂₎	M₁₂₍₂₎	M₁₃₍₂₎	M₁₄₍₂₎
	2	M₂₁₍₂₎	M₂₂₍₂₎	M₂₃₍₂₎	M₂₄₍₂₎
	3	M₃₁₍₂₎	M₃₂₍₂₎	M₃₃₍₂₎	M₃₄₍₂₎
	4	M₄₁₍₂₎	M₄₂₍₂₎	M₄₃₍₂₎	M₄₄₍₂₎
3	1	M₁₁₍₃₎	M₁₂₍₃₎	M₁₃₍₃₎	M₁₄₍₃₎
	2	M₂₁₍₃₎	M₂₂₍₃₎	M₂₃₍₃₎	M₂₄₍₃₎
	3	M₃₁₍₃₎	M₃₂₍₃₎	M₃₃₍₃₎	M₃₄₍₃₎
	4	M₄₁₍₃₎	M₄₂₍₃₎	M₄₃₍₃₎	M₄₄₍₃₎
4	1	M₁₁₍₄₎	M₁₂₍₄₎	M₁₃₍₄₎	M₁₄₍₄₎
	2	M₂₁₍₄₎	M₂₂₍₄₎	M₂₃₍₄₎	M₂₄₍₄₎
	3	M₃₁₍₄₎	M₃₂₍₄₎	M₃₃₍₄₎	M₃₄₍₄₎
	4	M₄₁₍₄₎	M₄₂₍₄₎	M₄₃₍₄₎	M₄₄₍₄₎

	1995-2006年					2006-2014年
	低	中低	中	中高	高	低	中低	中	中高	高
低	0.715	0.243	0.036	0.006	0.000	0.255	0.500	0.195	0.027	0.023
中低	0.000	0.042	0.375	0.375	0.208	0.000	0.143	0.442	0.156	0.260
中	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.100	0.900
中高	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	1.000
高	-	-	-	-	-	0.000	0.000	0.000	0.000	1.000

约束条件		1995-2006年						2006-2014年
约束条件		低	中低	中	中高	高		低	中低	中	中高	高
Ⅰ	低	0.790	0.173	0.031	0.006	0.000		0.329	0.462	0.158	0.038	0.013
	中低	0.000	0.000	0.500	0.167	0.333		0.000	0.206	0.471	0.147	0.176
	中	-	-	-	-	-		0.000	0.000	0.000	0.222	0.778
	中高	-	-	-	-	-		0.000	0.000	0.000	0.000	1.000
	高	-	-	-	-	-		0.000	0.000	0.000	0.000	1.000
Ⅱ	低	0.750	0.250	0.000	0.000	0.000		0.087	0.696	0.217	0.000	0.000
	中低	0.000	0.000	0.167	0.833	0.000		0.000		0.100	0.400	0.100	0.400
	中	0.000	0.000	0.000	0.000	1.000		0.000		0.000	0.000	0.000	1.000
	中高	-	-	-	-	-	0.000		0.000	0.000	0.000	1.000
	高	-	-	-	-	-	0.000		0.000	0.000	0.000	1.000
Ⅲ	低	0.517	0.379	0.069	0.034	0.000	0.056	0.611	0.333	0.000	0.000
	中低	0.000	0.000	0.333	0.667	0.000	0.000		0.143	0.500	0.214	0.143
	中	-	-	-	-	-	0.000		0.000	0.000	0.000	1.000
	中高	-	-	-	-	-	0.000		0.000	0.000	0.000	1.000
	高	-	-	-	-	-	0.000		0.000	0.000	0.000	1.000
Ⅳ	低	0.556	0.370	0.074	0.000	0.000	0.048	0.476	0.333	0.000	0.143
	中低	0.000	0.333	0.333	0.000	0.333	0.000		0.053	0.368	0.158	0.421
	中	-	-	-	-	-	0.000		0.000	0.000	0.000	1.000
	中高	0.000	0.000	0.000	0.000	1.000	0.000		0.000	0.000	0.000	1.000
	高	-	-	-	-	-	0.000		0.000	0.000	0.000	1.000

成分	2001年			2006年			2014年
成分	1	2	3	1	2	3	1	2	3
X₁	0.793	0.581	0.054	0.900	0.395	0.109	0.869	0.472	-0.008
X₂	0.665	-0.075	0.435	0.676	0.296	0.321	0.657	0.079	0.386
X₅	0.715	0.677	-0.006	0.809	0.549	0.044	0.775	0.594	-0.064
X₆	0.849	0.411	0.004	0.913	0.309	0.090	0.789	0.454	-0.026
X₇	0.761	0.626	0.016	0.833	0.509	0.113	0.721	0.618	0.043
X₈	0.803	0.543	-0.040	0.936	0.268	0.018	0.839	0.402	-0.107
X₉	0.875	0.352	-0.039	0.968	0.107	0.066	0.918	0.240	-0.012
X₁₀	0.317	0.928	-0.007	0.426	0.894	-0.004	0.382	0.904	-0.094
X₁₁	0.282	0.926	0.012	0.343	0.928	0.021	0.285	0.934	-0.058
X₃	0.072	-0.065	0.910	-0.005	-0.122	0.901	-0.087	-0.150	0.868
X₄	-0.031	0.089	0.899	-0.020	-0.002	0.869	0.089	0.040	0.893

模型	2001年			2006年			2014年
模型	标准化系数 Beta	t	显著性	标准化系数 Beta	t	显著性	标准化系数 Beta	t	显著性
（常量）		8.241	0.000		8.139	0.000		11.704	0.000
社会经济环境	0.676	25.558	0.000	0.851	30.714	0.000	0.737	24.210	0.000
高等教育基础	0.585	22.118	0.000	0.240	8.661	0.000	0.437	14.351	0.000
工业化程度	-0.055	-2.089	0.038	-0.004	-0.157	0.876	-0.062	-2.041	0.042
R²	0.803			0.782			0.737
调整后R²	0.800			0.780			0.734
F值	382.142			509.164			265.415
Sig.	0.000			0.000			0.000
DW	1.986			2.126			1.972

Spatial-temporal characteristics of innovation output and its influencing factors of the key industries in China

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