中国城市出口产品演化

doi:10.11821/dlxb201906003

摘要/Abstract

摘要：

区域产业不断演化与升级推动区域的持续发展。演化经济地理学强调内生发展过程中路径依赖的作用,却忽视了外生因素以及制度因素等所带来的路径突破和创造的机会。利用中国海关进出口数据,研究中国城市出口产品的演化路径。结果表明：总体上,中国城市出口产品演化发展受到原有产品结构的影响,表现为路径依赖。然而,这种路径依赖发展模式存在显著的区域差异。具体而言,东部和中部地区城市出口产品演化受到产品关联的影响最大,更多的是扩展与本地具有技术关联的产品;而西部和东北地区对技术关联的依赖相对较弱。进一步的研究发现,对外联系、技术关联集聚经济和制度环境均有利于削弱对城市现有产品结构的依赖,有助于创造新路径。

关键词: 演化经济地理学, 产品空间, 路径依赖, 路径突破, 中国

Abstract:

Regional development is the process of continuous evolution, transformation and upgrading of regional industries. Evolutionary economic geography emphasizes the process of endogenous development, but it ignores the path breaking brought by exogenous and institutional factors. Based on a firm-product level dataset on Chinese exports during 2000-2013, this paper examines the evolution pattern of China's exports space by aggregating firm-product level data to city-product level ones. This paper adopt the relatedness indicator, which is based on the co-occurrence of products in the export basket of countries. This paper adjusts and defines the indicator as the co-occurrence of two products at the firm level. Based on technological relatedness, this paper develops product space of China's exports, and explores whether the evolution of China's urban export is path dependence, and how those cities break existing path-dependent trajectories and create a new path. The conclusions of the study show that, firstly, the evolution of China's urban export products is affected by their original product structure and is characterized by the path dependence. Secondly, this research points out that the seemingly dominant path-dependent development trajectories can be broken through continuously improving external linkages, creating friendly environment of knowledge flow, and fostering an open-minded social and institutional context. Besides, the effects of these sets of variables vary across cities and industries. Specifically, technological relatedness played a more important role in the eastern and central China. Compared with labor intensive industries, technology intensive ones are more likely to depend on existing product structure. This paper points out that extra-regional linkages, related knowledge spillovers and open-minded institutional context have the potential to bring in and/or generate fresh know-how, which may enable cities to develop in a path-breaking way.

Key words: evolutionary economic geography, product space, path dependence, path-breaking, China

周沂,贺灿飞. 中国城市出口产品演化[J]. 地理学报, 2019, 74(6): 1097-1111.

ZHOU Yi,HE Canfei. Evolution of urban export product in China[J]. Acta Geographica Sinica, 2019, 74(6): 1097-1111.

图/表 9

图1

图2

图3

图4

图5

图6

表1

表2

表3

中国城市出口产品演化的路径创造"

	2001-2006年						2007-2013年
	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)	(9)	(10)	(11)	(12)
density		1.898^***	2.039^***	2.539^***	2.248^***	2.001^***		1.402^***	1.973^***	3.462^***	1.416^**	1.400^***
X_c_,_i_,_t₁	0.605^***	0.534^***	0.560^***	0.605^***	0.586^***	0.528^***	0.582^***	0.514^***	0.524^***	0.547^***	0.572^***	0.509^***
FDI	0.064^***	0.0444^**					0.057^***	0.080^***
IMP	2.84×10^-11	6.48×10^-10**	6.18×10^-10**	5.44×10^-10**	6.01×10^-10**	5.64×10^-10**	5.48×10^-13	1.56×10^-10***	1.58×10^-10***	1.20×10^-10***	1.51×10^-10***	1.10×10^-10***
RV	0.001^***		-0.000470				-0.0001		-0.0007^*
UV	0.061^***			-0.0235^***			0.059^***			-0.008
SO	8.565^***					6.738^***	9.102^***					8.072^***
EO	0.0223				-0.0187		0.028				-0.0251
Import×density×(1-x_c_,_i_,_t₁)		-2.33×10^-9	-2.44×10^-9	-2.20×10^-9	-2.42×10^-9	-2.21×10^-9		-6.56×10^-10***	-6.73×10^-10***	-5.24×10^-10***	-6.54×10^-10***	-4.83×10^-10***
Import×density×x_c_,_i_,_t₁		-2.34×10^-9**	-2.21×10^-9**	-1.99×10^-9**	-2.11×10^-9**	-1.96×10^-9**		-5.53×10^-10***	-5.47×10^-10***	-4.31×10^-10***	-5.07×10^-10***	-4.04×10^-10***
FDI×density×(1-x_c_,_i_,_t₁)		0.334						-0.242
FDI×density×x_c_,_i_,_t₁		-0.661^***						-0.265
RV×density×(1-x_c_,_i_,_t₁)			0.003						-0.005
RV×density×x_c_,_i_,_t₁			-0.007^**						-0.0101^***
UV×density×(1-x_c_,_i_,_t₁)				-0.036						-0.570^***
UV×density×x_c_,_i_,_t₁				-0.315^***						-0.705^***
EO×density×(1-x_c_,_i_,_t₁)					-0.074						0.278
EO×density×x_c_,_i_,_t₁					-0.832^**						-0.271
SO×density×(1-x_c_,_i_,_t₁)						-20.96						-17.77
SO×density×x_c_,_i_,_t₁						-38.75^***						-21.94
CityFe	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes
ProductFe	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes
_cons	-0.0919^**	0.0205	-0.0230	0.0251	0.0304	0.0491	-0.103^**	0.0582^**	-0.0471^*	-0.131^***	0.0791^*	-0.0113
	(0.0431)	(0.0208)	(0.0304)	(0.0261)	(0.0209)	(0.0314)	(0.0449)	(0.0274)	(0.0284)	(0.0314)	(0.0461)	(0.0270)
N	234224	234224	234224	234224	234224	234224	240382	240382	240382	240382	240382	240382
R²	0.548	0.570	0.571	0.573	0.571	0.571	0.534	0.549	0.555	0.554	0.550	0.551

表3

参考文献 31

[1]	Martin R . Roepke Lecture in Economic Geography-rethinking regional path dependence: Beyond lock-in to evolution. Economic Geography, 2010,86:1-27.
[2]	Storper M, Walker R . The Capitalist Imperative: Territory, Technology and Industrial Growth. New York: Basil Blackwell, 1989.
[3]	Massey D B. Spatial Divisions of Labor: Social Structures and the Geography of Production. London: Psychology Press, 1995.
[4]	Scott A J. Geography and Economy. Oxford: Oxford University Press, 2006,45:774-778.
[5]	Frenken K, Boschma R A . A theoretical framework for evolutionary economic geography: Industrial dynamics and urban growth as a branching process. Journal of Economic Geography, 2007(7):635-649.
[6]	He C, Yan Y, Rigby D . Regional industrial evolution in China: Path dependence or path creation? Paper in Regional Science, 2016,97(2):173-198.
[7]	Martin R, Sunley P . Path dependence and regional economic evolution. Journal of Economic Geography, 2006,6(4):395-437. doi: 10.1093/jeg/lbl012
[8]	Storper M . The resurgence of regional economies ten years later: The region as a nexsus of untraded interdependencies. European Urban and Regional Studies, 1995,2(3):191-221. doi: 10.1177/096977649500200301
[9]	Lambooy J G, Boschma R A . Evolutionary economics and regional policy. The Annals of Regional Science, 2001,35(1):113-131. doi: 10.1007/s001680000033
[10]	Zhu S, He C, Zhou Y . How to jump further and catch up? Path-breaking in an uneven industry space. Journal of Economic Geography, 2017,17(3):521-545.
[11]	Hidalgo C A, Klinger B, Barabasi A L , et al. The product space and its consequences for economic growth. Science, 2007,317:482-487. doi: 10.1126/science.1144581
[12]	Boschma R A, Iammarino S . Related variety, trade linkages and regional growth. Economic Geography, 2009,85(3):289-311. doi: 10.1111/ecge.2009.85.issue-3
[13]	Neffke F, Henning M, Boschma R , et al. The dynamics of agglomeration externalities along the life cycle of industries. Regional Studies, 2011,45(1):49-65. doi: 10.1080/00343401003596307
[14]	Boschma R, Minondo A, Navarro M . The emergence of new industries at the regional level in Spain: A proximity approach based on product relatedness. Economic Geography, 2013,89(1):29-51. doi: 10.1111/ecge.2013.89.issue-1
[15]	Essletzbichler J . Relatedness, industrial branching and technological cohesion in US metropolitan areas. Regional Studies, 2015,49(5):752-766. doi: 10.1080/00343404.2013.806793
[16]	Boschma R, Capone G . Institutions and diversification: Related versus unrelated diversification in a varieties of capitalism framework. Research Policy, 2015,44(10):1902-1914. doi: 10.1016/j.respol.2015.06.013
[17]	Duranton G, Puga D . Micro-foundations of urban agglomeration economies. Handbook of Regional and Urban Economics, 2003,4(4):2063-2117.
[18]	Maskell P, Malmberg A . Localised learning and industrial competitiveness. Cambridge Journal of Economics, 1999,23(2):167-185. doi: 10.1093/cje/23.2.167
[19]	Audretsch D B, Feldman M P . R&D spillovers and the geography of innovation and production. The American Economic Review, 1996,86(3):630-640.
[20]	Nooteboom B. Learning and Innovation in Organizations and Economies. Oxford: Oxford University Press, 2001.
[21]	Boschma R, Frenken K . The emerging empirics of evolutionary economic geography. Journal of Economic Geography, 2011,11(2):295-307. doi: 10.1093/jeg/lbq053
[22]	Boschma Ron . Relatedness as driver of regional diversification: A research agenda. Regional Studies, 2017,51(3):351-364. doi: 10.1080/00343404.2016.1254767
[23]	Porter M . The economic performance of regions. Regional Studies, 2003,37(6/7):545-546. doi: 10.1080/0034340032000089103
[24]	Caragliu A, Dominicis L D, Groot H L F D . Both Marshall and Jacobs were right! Economic Geography, 2016,92(1):87-111. doi: 10.1080/00130095.2015.1094371
[25]	Blomström M, Persson H . Foreign investment and spillover efficiency in an underdeveloped economy: Evidence from the Mexican manufacturing industry. World Development, 1983,11(6):493-501. doi: 10.1016/0305-750X(83)90016-5
[26]	Grossman G M, Helpman E . Trade, knowledge spillovers, and growth. European Economic Review, 1990,35(2-3):517-526.
[27]	Findlay R . Relative backwardness, direct foreign investment, and the transfer of technology: A simple dynamic model. The Quarterly Journal of Economics, 1978,92(1):1-16. doi: 10.2307/1885996
[28]	Cheung K Y, Lin P . Spillover effects of FDI on innovation in China: Evidence from the provincial data. China Economic Review, 2004,15(1):25-44. doi: 10.1016/S1043-951X(03)00027-0
[29]	Zhu S, He C . Geographical dynamics and industrial relocation: Spatial strategies of apparel firms in Ningbo, China. Eurasian Geography and Economics, 2013,54(3):342-362. doi: 10.1080/15387216.2013.849402
[30]	Ahn J B, Khandelwal A K, Wei S J . The role of intermediaries in facilitating trade. Journal of International Economics, 2011,84(1):73-85. doi: 10.1016/j.jinteco.2010.12.003
[31]	He Canfei, Dong Yao, Zhou Yi . Evolution of export product space in China: Path-dependent or path-breaking? Acta Geographica Sinica, 2016,71(6):970-983.
	[ 贺灿飞, 董瑶, 周沂 . 中国对外贸易产品空间路径演化. 地理学报, 2016,71(6):970-983.]

	2001-2006年					2007-2013年
	全国	东部	中部	西部	东北	全国	东部	中部	西部	东北
x_c_,_i_,_t₁	0.549^***	0.674^***	0.581^***	0.465^***	0.505^***	0.566^***	0.619^***	0.560^***	0.478^***	0.571^***
	(0.021)	(0.019)	(0.016)	(0.021)	(0.037)	(0.017)	(0.019)	(0.016)	(0.022)	(0.058)
density×(1-x_c_,_i_,_t₁)	1.728^***	3.191^***	3.930^***	0.438^*	2.882^***	2.410^***	2.457^***	3.801^***	1.939^***	1.446^**
	(0.468)	(0.179)	(0.347)	(0.228)	(0.334)	(0.163)	(0.123)	(0.242)	(0.398)	(0.593)
density×x_c_,_i_,_t₁	1.594^***	1.880^***	2.994^***	1.315^***	2.562^***	1.721^***	1.601^***	2.694^***	1.716^***	0.721
	(0.234)	(0.178)	(0.286)	(0.221)	(0.458)	(0.217)	(0.128)	(0.225)	(0.370)	(0.991)
City Fe	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Product Fe	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes
_cons	-0.032^**	-0.143^***	-0.056^***	-0.000	-0.070^***	-0.061^***	-0.126^***	-0.069^***	-0.020^*	-0.046
	(0.016)	(0.016)	(0.009)	(0.008)	(0.020)	(0.009)	(0.016)	(0.013)	(0.012)	(0.034)
N	375024	100968	93756	137028	43272	375024	100968	93756	137028	43272
R²	0.580	0.587	0.430	0.418	0.518	0.566	0.577	0.432	0.426	0.490

	2001-2006年			2007-2013年
	纺织品	机械与电子产品	矿产品	纺织品	机械与电子产品	矿产品
x_c_,_i_,_t₁	0.515^***	0.530^***	0.509^***	0.532^***	0.600^***	0.514^***
	(0.027)	(0.027)	(0.028)	(0.032)	(0.019)	(0.028)
density×(1- x_c,i,t1)	1.718^***	2.906^***	1.699^***	2.454^***	4.905^***	1.573^***
	(0.512)	(0.806)	(0.272)	(0.215)	(0.359)	(0.166)
density×x_c_,_i_,_t₁	1.641^***	2.608^***	1.880^***	1.881^***	3.273^***	1.344^***
	(0.259)	(0.540)	(0.262)	(0.270)	(0.341)	(0.236)
City Fe	Yes	Yes	Yes	Yes	Yes	Yes
Product Fe	Yes	Yes	Yes	Yes	Yes	Yes
_cons	0.022	-0.054	-0.023^*	-0.027	-0.162^***	-0.008
	(0.034)	(0.058)	(0.012)	(0.020)	(0.031)	(0.010)
N	46800	41184	20280	46800	41184	20280
R²	0.617	0.595	0.488	0.596	0.580	0.459