Study on spatial agglomeration and performance of electronic information manufacturing in the Yangtze River Delta Urban Agglomeration

doi:10.3969/j.issn.1004-9479.2021.06.2020244

Abstract

Abstract:

This paper takes electronic information manufacturing of 27 cities in the Yangtze River Delta urban agglomeration as research object. Based on data from Chinese industrial firms, it firstly analysis the patterns of spatial agglomeration of electronic information manufacturing firms through adopting EG agglomeration index, spatial auto-correlation, kernel density analysis method. Then, it exams the relationship between spatial agglomeration, governmental founding and other related factors and firms' performance by using quantile regression model. The results show that: electronic information manufacturing firms are centralized in 2004 and then relatively balanced distributed with overall stability in low-level agglomeration; electronic information manufacturing firms have positive spatial correlation in adjacent spatial units; spatial agglomeration, policy support have differentiated effects on the three levels of firms' performance. While the policy support plays a great promoting part in low and medium performance firms, the agglomeration economy does well in high-performance firms. Internal scale economy has a promotion effect on all performance level of electronic information manufacturing firms.

Key words: electronic information manufacturing, spatial agglomeration, production performance, Yangtze River Delta Urban Agglomeration

摘要：

以长三角城市群27个地级以上城市的电子信息制造业为研究对象，采用2004—2013年中国工业企业数据，利用EG集聚指数、核密度分析法、空间自相关和分位数回归模型，实证分析长三角电子信息制造业的空间集聚特征和及其发展绩效的影响因素。结果表明：长三角电子信息制造业呈现先集中后均衡的空间集聚，整体稳定在低集聚区间；长三角城市群电子信息制造业在相邻空间单位中具有空间正相关特点；集聚经济、政策支持等因素对不同企业绩效水平产生差异化影响。对于中低绩效企业而言，政策支持的促进效应大于集聚经济，对于高绩效企业而言，集聚经济的促进效应由于政策支持，内部规模经济对各绩效水平企业均呈促进效应。

关键词: 电子信息制造业, 空间集聚, 生产绩效, 长三角城市群

Weihua YIN, Xiaoling CHEN. Study on spatial agglomeration and performance of electronic information manufacturing in the Yangtze River Delta Urban Agglomeration[J]. World Regional Studies, 2021, 30(6): 1241-1252.

殷为华, 陈晓玲. 长三角城市群电子信息制造业的空间集聚及生产绩效研究[J]. 世界地理研究, 2021, 30(6): 1241-1252.

Figures/Tables 5

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参数	2004年	2007年	2010年	2013年
规模以上企业数	3622	4477	6125	5903
就业人数	1283412	2285171	4609963	3994036
EG指数	0.0053	0.0099	0.0198	0.0077

参数	2004年	2007年	2010年	2013年
规模以上企业数	3622	4477	6125	5903
就业人数	1283412	2285171	4609963	3994036
EG指数	0.0053	0.0099	0.0198	0.0077

类型	缩写	名称	指标含义
因变量	JX	生产绩效	电子信息制造企业生产总值与就业人数的比值
解释变量	LOCAL	地方化经济	城市电子信息制造企业生产总值
	URBAN	城市化经济	城市就业人口密度
	GOV	政策支持	电子信息制造企业的政府补贴收入
城市层面控制变量	AWAGE	劳动力成本	城市平均工资
	AGDP	城市经济实力	城市人均生产总值
	FDI	城市开放度	城市实际使用外资
企业层面控制变量	EXP	出口水平	电子信息制造企业出口交货值/销售值
	R&D	研发投入	电子信息制造企业的研发费用占工业总产值比重
	INECO	内部规模经济	电子信息制造企业的总资产乘以从业人员数的平方根

类型	缩写	名称	指标含义
因变量	JX	生产绩效	电子信息制造企业生产总值与就业人数的比值
解释变量	LOCAL	地方化经济	城市电子信息制造企业生产总值
	URBAN	城市化经济	城市就业人口密度
	GOV	政策支持	电子信息制造企业的政府补贴收入
城市层面控制变量	AWAGE	劳动力成本	城市平均工资
	AGDP	城市经济实力	城市人均生产总值
	FDI	城市开放度	城市实际使用外资
企业层面控制变量	EXP	出口水平	电子信息制造企业出口交货值/销售值
	R&D	研发投入	电子信息制造企业的研发费用占工业总产值比重
	INECO	内部规模经济	电子信息制造企业的总资产乘以从业人员数的平方根

变量	2007年			2013年
	模型1	模型2	模型3	模型5	模型6	模型7
	q=0.1	q=0.5	q=0.9	q=0.1	q=0.5	q=0.9
LOCAL	-1.13e-07^*	-7.82e-07^***	-3.09e-06^***	0.0001	0.0000	0.0056^*
LOCAL	(6.02e-8)	(1.57e-07)	(1.03e-06)	(0.0001)	(0.0004)	(0.0031)
URBAN	-0.0074	0.0411	0.3784^*	0.0122	0.3946	0.8621^*
URBAN	(0.0118)	(0.0307)	(0.2019)	(0.0133)	(0.0510)	(0.4558)
GOV	0.0052^***	0.1472^***	0.1091^***	0.0044^***	0.0069^***	0.1182^***
GOV	(0.0002)	(0.0005)	(0.0035)	(0.0001)	(0.0004)	(0.0036)
AGDP	-0.0009^***	-0.0004	-0.0008	-0.0004^***	0.0004	-0.0043
AGDP	(0.0003)	(0.0007)	(0.0049)	(0.0002)	(0.0006)	(0.0053)
FDI	1.4321^***	6.6080^***	26.5960^***	-0.0000	-0.0000	-0.0011^*
FDI	(0.5039)	(1.3125)	(8.6275)	(0.0000)	(0.0001)	(0.0005)
AWAGE	0.0020^**	-0.0001	-0.0113	0.0004	-0.0078^***	-0.0308
AWAGE	(0.0009)	(0.0023)	(0.0150)	(0.0006)	(0.0021)	(0.0190)
EXP	-13.9267^**	-43.0590^***	-24.9109	10.1073^**	18.4958	-207.2384
EXP	(6.4145)	(16.7087)	(109.8301)	(4.4480)	(17.1051)	(152.9212)
R&D	-52.7829	-181.1082	-613.5128	-0.2928^**	-0.3348	-1.5203
R&D	(91.912)	(239.4146)	(1573.729)	(0.1438)	(0.5530)	(4.9435)
INECO	1.86e-07^***	2.10e-06^***	8.38e-06^***	2.50e-07^***	1.24e-06^***	9.14e-06^***
INECO	(3.04e-08)	(7.92e-08)	(5.21e-07)	(8.78e-09)	(3.38e-08)	(3.02e-07)
F	85.18	193.98	37.50	330.11	211.39	258.74
F	(0.0000)	(0.0000)	(0.0000)	(0.0000)	(0.0000)	(0.0000)
Pseudo R²	0.0077	0.0258	0.0555	0.0045	0.0092	0.0152