珠三角新晋跨境制造业企业地理集聚与区位选择
Geographical agglomeration and location factors of the new-born cross-border manufactural firms in the Pearl River Delta
查看参考文献72篇
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文摘
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珠三角的跨境资本因其文化多元性、地缘特殊性而受到国际经济地理学家的广泛关注,“多元资本主义”等多种理论框架被提出以解释其特殊性。然而,由于数据、方法的限制,相关研究多停留于理论及定性探讨层面,基于微观企业样点的研究较为欠缺,特别是纳入企业异质性等新经济因素的定量模型研究更为缺乏。论文基于微观企业样点数据,综合考虑传统一般经济因素与制度、集聚、创新、企业异质性等新经济因素,采用核密度分析方法以及空间回归分析,研究了2005—2009、2009—2013年2个时段的珠三角新晋跨境制造业企业(new-born cross-border manufacturing firms, NCMF)的空间分布格局与差异,并重点关注金融危机前后(2005—2009年)这一特殊的经济转型时期,珠三角NCMF区位选择的影响机制。结果表明:①珠三角NCMF的空间集聚程度较以往有所降低, 2005—2009年与2009—2013年2个时段的NCMF在结构与分布特征上呈现出较大的差异,热点区位在2005年后开始由珠三角东岸地区向西岸拓展,2009年后则再次呈现以东岸为主的集聚特征;②金融危机前后,珠三角的发展动力发生了根本性的变化,以往吸引跨境制造业企业的劳动力成本优势与开发区政策优势逐步弱化,而集聚因素、创新因素以及企业异质性成为影响跨境制造业企业空间集聚与区位选择的关键影响因素;③处于动力转换期的珠三角,需要通过构建完善的制度环境、建立创新网络、增强要素集聚、根据企业偏好制定多元化引资政策来重新获得发展的新优势。论文旨在从企业微观层面揭示经济区域内部的外商直接投资区位,同时也为理解转型时期中国以珠三角为代表的外向型经济区域的动力转换与空间重构提供实证参考。 |
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其他语种文摘
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The cross-border capital of the Pearl River Delta has received extensive attention from international economic geographers because of its cultural diversity and geopolitical specificity. The theoretical model of "hybrid capitalism" was proposed base on this. However, due to the limitations of data and methods, relevant research mostly stays at the level of theoretical and qualitative exploration. The research based on firm-level samples is deficient, especially quantitative models that incorporate the new economic factors such as firm heterogeneity. Based on the sample data of enterprises, this study synthetically considered the traditional economic factors and new economic factors such as institution, agglomeration, innovation, and firm heterogeneity. In order to explain the mechanism of foreign direct investment (FDI) location choice from the firm level, we also combined a spatial analysis method and spatial regression model. Kernel density spatial analysis and spatial lag modeling based on firm samples were conducted to uncover the geographical agglomeration characteristics and location factors of the new-born cross-border manufacturing firms (NCMF) in the Pearl River Delta (PRD) during 2005- 2009 and 2009-2013. To explore the location choice mechanism of FDI in the transitional period, we also focused on the impact mechanism of location choice of NCMF in the PRD before and after the global financial crisis (2005-2009). The main results are as follow: 1) The spatial agglomeration of the NCMF in the PRD is lower than before. The NCMF in the two periods of 2005-2009 and 2009-2013 showed great differences in structure and distribution characteristics. The hotspot of firm distribution began to expand from the east coast of the PRD to the west side after 2005, and after 2009, firm agglomeration in the east coast was again obvious. 2) After the global financial crisis, the development momentum of the PRD has undergone fundamental changes. The advantages of low labor cost and preferential policies of development zones that attracted cross-border manufacturing firms have gradually weakened, while agglomeration factors, innovation factors, and firm heterogeneity have become the key factors that affect the spatial agglomeration and location choice of NCMF. 3) In the period of a dynamic transformation, the Pearl River Delta needs to regain its new advantages of development by building a sound institutional environment, establishing innovation networks, enhancing factor agglomeration, and formulating diversified investment policies according to firm preferences. This study examined the location choice of FDI within the economic region using the firm- level data, and may provide an empirical reference for understanding the dynamic transformation and spatial reconstruction of the export-oriented economic region represented by the Pearl River Delta in China during the transition period. |
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来源
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地理科学进展
,2019,38(10):1583-1595 【核心库】
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DOI
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10.18306/dlkxjz.2019.10.013
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关键词
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NCMF
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劳动力成本
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创新
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制度
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企业异质性
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地址
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1.
广州地理研究所, 广州, 510070
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中国科学院广州地球化学研究所, 广州, 510640
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中国科学院大学, 北京, 100049
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1007-6301 |
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学科
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社会科学总论 |
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基金
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国家自然科学基金项目
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广东省科学院实施创新驱动发展能力建设专项
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广东省广州市科技计划项目
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文献收藏号
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CSCD:6599634
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参考文献 共
72
共4页
|
|
1.
贺灿飞. 北京市外资制造企业的区位分析.
地理学报,2005,60(1):122-130
|
被引
40
次
|
|
|
|
|
2.
黄志基. 中国环境规制、地理区位与企业生产率增长.
地理学报,2015,70(10):1581-1591
|
被引
29
次
|
|
|
|
|
3.
李佳洺. 基于微观企业数据的产业空间集聚特征分析:以杭州市区为例.
地理研究,2016,35(1):95-107
|
被引
22
次
|
|
|
|
|
4.
李小建.
经济地理学,2006
|
被引
29
次
|
|
|
|
|
5.
李小建. 西方经济地理学新进展及其启示.
地理学报,2004,59(S1):153-161
|
被引
19
次
|
|
|
|
|
6.
李郇. 经济全球化背景下的产业空间重构.
热带地理,2009,29(5):454-459
|
被引
5
次
|
|
|
|
|
7.
刘颖. 城市区位条件与企业区位动态研究.
地理研究,2016,35(7):1301-1313
|
被引
20
次
|
|
|
|
|
8.
苗长虹.
新经济地理学,2011
|
被引
44
次
|
|
|
|
|
9.
潘峰华. 中国上市企业总部的区位分布和集聚特征.
地理研究,2013,32(9):1721-1736
|
被引
18
次
|
|
|
|
|
10.
王洋. 广州市银行业的空间布局特征与模式.
地理科学,2016,36(5):742-750
|
被引
11
次
|
|
|
|
|
11.
韦荟. 经济危机对东莞电子信息制造业空间集聚形态的影响研究:基于两次经济危机的比较视角.
城市发展研究,2010(7):113-118
|
被引
2
次
|
|
|
|
|
12.
吴康敏. 广州市多类型商业中心识别与空间模式.
地理科学进展,2016,35(8):963-974
|
被引
52
次
|
|
|
|
|
13.
袁丰. 无锡城市制造业企业区位调整与苏南模式重组.
地理科学,2012,32(4):401-408
|
被引
17
次
|
|
|
|
|
14.
赵冬昶. 后金融危机时代珠三角地区产业结构升级研究.
价格理论与实践,2009(10):74-75
|
被引
1
次
|
|
|
|
|
15.
赵浚竹. 中国汽车制造业集聚与企业区位选择.
地理学报,2014,69(6):850-862
|
被引
38
次
|
|
|
|
|
16.
Alcacer J. Location choices across the value chain: How activity and capability influence collocation.
Management Science,2006,52(10):1457-1471
|
被引
5
次
|
|
|
|
|
17.
Aw B Y. Firm heterogeneity and location choice of Taiwanese multinationals.
Journal of International Economics,2008,75(2):403-415
|
被引
2
次
|
|
|
|
|
18.
Baldwin R E. Heterogeneous firms, agglomeration and economic geography: Spatial selection and sorting.
Journal of Economic Geography,2005,6(3):323-346
|
被引
19
次
|
|
|
|
|
19.
Belderbos R. The location of Japanese investments in China: Agglomeration effects, keiretsu, and firm heterogeneity.
Journal of the Japanese & International Economies,2002,16(2):194-211
|
被引
16
次
|
|
|
|
|
20.
Beugelsdijk S. MNEs as border-crossing multi-location enterprises: The role of discontinuities in geographic space.
Journal of International Business Studies,2013,44(5):413-426
|
被引
5
次
|
|
|
|
|
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