地理研究 ›› 2016, Vol. 35 ›› Issue (6): 1095-1106.doi: 10.11821/dlyj201606008
姜海宁1,2,3(), 张文忠2,3(
), 吕国庆4, 马仁锋5, 余建辉2,3
收稿日期:
2016-01-05
修回日期:
2016-04-19
出版日期:
2016-06-20
发布日期:
2016-06-20
作者简介:
作者简介:姜海宁(1982- ),男,江苏徐州人,博士,讲师,研究方向为经济地理。E-mail:
基金资助:
Haining JIANG1,2,3(), Wenzhong ZHANG2,3(
), Guoqing LV4, Renfeng MA5, Jianhui YU2,3
Received:
2016-01-05
Revised:
2016-04-19
Online:
2016-06-20
Published:
2016-06-20
摘要:
选择上海作为研究区域,以日资纺织服装制造企业名录为数据基础,运用GIS软件,分析1995-2012年上海日资纺织服装制造企业的空间分布规律及其影响因素。结果发现:企业集聚与扩散并存,并向郊区化发展,其中开发区是企业集聚的重要空间载体,并沿高速、高架路呈带状分布,其集聚强度和规模随时间推移迅速增大;外商独资企业与合资合作企业的集聚格局相似,中心依赖性较弱,而大规模企业倾向于集聚在郊区,小规模企业中心依赖性较强。运用泊松回归模型的计量结果表明,接近高速或高架路因素对企业具有显著吸引作用,其次是开发区、集聚因素及地价因素影响也较大,高等院校影响相对较小,而其他4个因素作用并不明显。此外,与合资合作企业相比,外商独资企业的区位选择对集聚效应、开发区以及高等院校更加敏感,而受地价、接近高速高架路等影响相对较小。
姜海宁, 张文忠, 吕国庆, 马仁锋, 余建辉. 上海日资纺织服装制造企业的空间格局[J]. 地理研究, 2016, 35(6): 1095-1106.
Haining JIANG, Wenzhong ZHANG, Guoqing LV, Renfeng MA, Jianhui YU. Spatial pattern of Japan-funded textile and garment manufacturing enterprises in Shanghai[J]. GEOGRAPHICAL RESEARCH, 2016, 35(6): 1095-1106.
表2
上海日资纺织服装制造企业区位选择模型估计结果"
所有企业 | 独资企业 | 合资合作企业 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
模型1 | 模型2 | 模型3 | 模型1 | 模型2 | 模型3 | 模型1 | 模型2 | 模型3 | |||
c | 0.103 | -0.336 | 1.077 | -0.545** | -0.675 | 0.921 | -0.607** | -1.829*** | 0.117 | ||
X1 | -0.221*** | -0.181** | -0.280*** | ||||||||
X2 | 0.264*** | 0.274*** | 0.241*** | ||||||||
X3 | 0.105 | 0.126 | 0.071 | ||||||||
X4 | 0.238 | 0.266 | 0.179 | ||||||||
X5 | -1.80E-06 | -1.28E-05 | 4.82E-06 | ||||||||
X6 | 4.07E-06 | -1.71E-06 | 1.56E-06 | ||||||||
X7 | 8.66E-06 | -4.94E-07 | 1.82E-05 | ||||||||
X8 | 0.757** | 1.197** | 1.502*** | ||||||||
X9 | -1.19E-05 | -1.42E-05* | -1.43E-05 | ||||||||
样本数 | 215 | 215 | 215 | 215 | 215 | 215 | 215 | 215 | 215 | ||
显著性 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | ||
a | 1.174*** | 3.953*** | 5.126*** | 1.823*** | 8.769*** | 12.627*** | 2.403*** | 3.828*** | 4.027*** | ||
LR stat | 110.363*** | 558.697*** | 669.588*** | 250.288*** | 915.325*** | 1073.551*** | 353.506*** | 547.261*** | 563.159*** |
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