跨区域产业技术关联与产业创新——基于中国制造业的分析

doi:10.18306/dlkxjz.2020.11.004

Abstract

Abstract:

Geographic proximity arising from industrial agglomeration can promote firm innovation and thereby industrial development. Scholars of evolutionary economic geography further propose that technology proximity is more important than geographic proximity, which provides essential theoretical support for explaining the role of interregional industrial linkages in local industrial development. However, the existing literature mainly focuses on the technological relatedness within regions but lacks research for interregional relatedness, especially the effects of interregional technology relatedness on regional innovation. Based on the input-output panel data of 2002, 2007, and 2012 from 30 provinces of the mainland of China, this study used the gravity model and cross-entropy method to fit the interprovincial trade flow matrix of the industries and further computed the index of intraregional and interregional technological relatedness. This study then used a two-way fixed effect model to examine the effects of intraregional and interregional technological relatedness on industrial innovation based on the data of 16 manufacturing sectors in 30 provinces in 2002, 2007, and 2012. First, the results show that the degree of interregional technological relatedness of industries has been strengthened, especially the linkages within city agglomerations. Second, interregional technological relatedness of industries has a positive effect on industrial innovation, but local technological relatedness of industries would weaken this positive effect. Therefore, the government should remove institutional barriers and encourage the inter- or intraregional industrial linkages that promote regional industrial innovation.

Key words: technological relatedness, intraregional relatedness, cross-regional relatedness, regional industrial innovation, input-output

QIAN Xiaoying, SUN Bindong. Interregional technological relatedness and industrial innovation: An analysis based on China’s manufacturing industry[J].PROGRESS IN GEOGRAPHY, 2020, 39(11): 1822-1831.

Figures/Tables 7

Tab.1

Regression results of the gravity models based on interprovincial railway transportation"

变量	ln flow
变量	矿物性建筑材料	钢铁及有色金属	焦炭	石油	粮食
$lnoutpu t ki$	0.176^***	0.013^***	0.392^***	0.152^***	0.628^***
	(0.023)	(0.005)	(0.125)	(0.062)	(0.132)
$lninpu t sj$	0.125^***	0.241^***	0.148^**	0.152^***	0.135^***
	(0.052)	(0.072)	(0.056)	(0.025)	(0.031)
$lnGD P k$	0.124	0.012	0.112	0.012	0.413^**
	(0.109)	(0.009)	(0.120)	(0.009)	(0.126)
$lnGD P s$	0.154	0.058	0.254	0.258	0.215
	(0.125)	(0.052)	(0.157)	(0.142)	(0.172)
$lnDi s ks$	-0.814^***	-0.758^***	-0.628^**	-0.785^***	-0.144^***
	(0.241)	(0.135)	(0.297)	(0.152)	(0.025)
常数	3.073^***	-2.361^***	2.351^***	2.212^***	-0.729^***
	(1.123)	(0.851)	(0.581)	(0.812)	(0.152)
观测样本	2400	2400	2400	2400	2400
R²	0.421	0.373	0.392	0.401	0.315

Tab.1

Tab.2

Comparison of five commodities and input-output sectors and their gravity models"

商品	制造业	引力模型
矿物性建筑材料	纺织业、服装皮革制品、木材加工、造纸印刷、非金属制品	$lnflow = 3.073 + 0.176 lnoutput + 0.125 lninput - 0.814 lnDis$
钢铁及有色金属	金属冶炼加工、金属制品、通用设备、交用运输设备、电气机械器材、通信设备、仪器仪表、其他制造业	$lnflow = - 2.361 + 0.013 lnoutput + 0.241 lninput - 0.758 lnDis$
焦炭	石油加工炼焦	$lnflow = 2.351 + 0.392 lnoutput + 0.148 lninput - 0.628 lnDis$
石油	化学工业、石油加工业	$lnflow = 2.212 + 0.152 lnoutput + 0.152 lninput + 0.785 lnDis$
粮食	食品制造及烟草加工	$lnflow = - 0.729 + 0.628 lnoutput + 0.135 lninput + 0.413 lnGD P k - 0.144 lnDis$

Tab.2

Tab.3

Fig.1

Fig.2

Tab.4

Tab.5

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	变量	变量解释	平均值	标准差	最小值	最大值
因变量	Innov	新产品产值占该行业总产值比重	0.174	0.037	0.087	0.316
	ln Patent	人均专利申请数	2.534	1.149	-0.306	4.969
	ln Prod	人均GDP	3.932	1.484	0.736	11.856
核心变量	InterRD	跨区域产业关联密度	0.329	0.319	0.001	0.988
控制变量	LocRD	本地产业关联密度	0.379	0.216	0.006	0.969
	LQ	地区产业的区位商	0.940	0.852	0.001	7.502
	ln Opt	地区产业总产值	15.482	2.088	6.605	19.845
	SOE	国有企业总产值占该产业总产值比重	0.413	0.232	0	1.000
	Subsidy	企业补贴收入与产业总产值的比值	0.006	0.010	0	0.078
	R&D	地区产业的研发经费投入与总产值比重	0.070	0.049	0.007	0.487
	Trade	区产业进出口总额与工业总产值比值	0.134	0.169	0	0.796

变量	基本回归			稳健检验
	模型1	模型2	模型3	模型4	模型5
	Innov	Innov	Innov	Prod	Patent
InterRD	0.145^***	0.114^**	0.153^***	1.072^***	0.286^***
	(0.038)	(0.056)	(0.050)	(0.227)	(0.101)
LocRD×InterRD			-0.076^***	-0.523^***	-0.546^*
LocRD×InterRD			(0.017)	(0.364)	(0.540)
LocRD	0.149^***	0.116^*	0.138^***	0.857^***	0.405^***
	(0.052)	(0.038)	(0.059)	(0.201)	(0.031)
LQ		0.018^***	0.017^***	1.305^***	4.468^***
		(0.002)	(0.002)	(0.052)	(0.094)
Opt		0.009^***	0.008^***	0.045^***	2.081^***
		(0.001)	(0.001)	(0.014)	(0.023)
SOE		0.003	0.002	-0.275^***	-3.788^***
		(0.004)	(0.004)	(0.088)	(0.140)
Subsidy		0.529^***	0.512^***	11.318^***	-1.809
		(0.084)	(0.080)	(2.239)	(2.933)
R&D		0.093^***	0.089^***	23.807^***	2.229^***
		(0.019)	(0.018)	(0.520)	(0.577)
Trade		0.035^***	0.038^***	1.769^***	0.779^***
		(0.005)	(0.006)	(0.146)	(0.208)
常数	0.141^***	-0.004	-0.003	-0.148	-12.558^***
	(0.003)	(0.009)	(0.009)	(0.227)	(0.341)
观测样本	1440	1440	1440	1440	1440
省份	30	30	30	30	30
R²	0.418	0.651	0.663	0.922	0.691

变量	东部	中部	西部	东北
InterRD	0.168^***	0.151^***	0.045^**	0.041
	(0.057)	(0.050)	(0.021)	(0.043)
InterRD×LocRD	-0.083^***	-0.111^***	-0.065^*	-0.012
InterRD×LocRD	(0.024)	(0.033)	(0.038)	(0.072)
LocRD	0.139^***	0.161^***	0.027^*	0.037
	(0.055)	(0.070)	(0.015)	(0.038)
控制变量	包含	包含	包含	包含
常数	-0.008	0.026	0.004	0.040
	(0.018)	(0.031)	(0.013)	(0.035)
观测样本	480	288	528	144
省份	10	6	11	3
R²	0.692	0.736	0.841	0.829

Interregional technological relatedness and industrial innovation: An analysis based on China’s manufacturing industry

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