• Geographical Research
  • Vol. 39, Issue 9, 2044 (2020)
Junyang LIU1、2 and Shengjun ZHU1、*
Author Affiliations
  • 1College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
  • 2Peking University-Lincoln Institute Center for Urban Development and Land Policy, Beijing 100871, China
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    DOI: 10.11821/dlyj020200373 Cite this Article
    Junyang LIU, Shengjun ZHU. Proximity between markets and the geographical agglomeration of exporters in Guangdong province[J]. Geographical Research, 2020, 39(9): 2044 Copy Citation Text show less
    The proximity between markets and firm agglomeration
    Fig. 1. The proximity between markets and firm agglomeration
    The spatial distribution of Guangdong’s firms which exported to Norway in 2016
    Fig. 2. The spatial distribution of Guangdong’s firms which exported to Norway in 2016
    The export trade flows of exporters in Guangdong province (2016) and the cumulative amounts of exporters to each country/region(2000—2016)
    Fig. 3. The export trade flows of exporters in Guangdong province (2016) and the cumulative amounts of exporters to each country/region(2000—2016)
    The annual change of Guangdong’s export value and the proportion of each continent
    Fig. 4. The annual change of Guangdong’s export value and the proportion of each continent
    The value of Guangdong’s exports to other countries/ regions
    Fig. 5. The value of Guangdong’s exports to other countries/ regions
    The point density distribution of Guangdong’s exporters
    Fig. 6. The point density distribution of Guangdong’s exporters
    LISA clusters of Guangdong’s exporters
    Fig. 7. LISA clusters of Guangdong’s exporters
    The annual change of Shenzhen and Zhuhai’s export value as well as their ratio
    Fig. 8. The annual change of Shenzhen and Zhuhai’s export value as well as their ratio
    The kernel density curve of Guangdong’s exporters (0~800 km)
    Fig. 9. The kernel density curve of Guangdong’s exporters (0~800 km)
    The kernel density curve of Guangdong’s exporters which exported to Mexico, Belarus and the Philippines in 2016
    Fig. 10. The kernel density curve of Guangdong’s exporters which exported to Mexico, Belarus and the Philippines in 2016
    The correlation of localization index and export value of Guangdong’s exporters
    Fig. 11. The correlation of localization index and export value of Guangdong’s exporters
    变量类型变量名称变量含义预期符号及显著性
    因变量Localization_index广东省出口企业的集聚指数
    核心自变量:多维邻近性Geo_PROX地理邻近性(距离):广东省至出口目的地的航班数显著为负
    Econ_PROX经济邻近性(距离):广东省与出口目的地的人均GDP之差除以两地GDP总量乘积显著为正
    Pol_PROX政治邻近性(距离):广东省与出口目的地的VA得分之差显著为正
    Insti_PROX制度邻近性(距离):广东省与出口目的地的RQ得分之差显著为正
    Cul_PROX文化邻近性(距离):广东省与出口目的地Hofstede六维度文化综合得分差显著为正/不显著
    控制变量controlPop出口目的地的人口
    GDP_total出口目的地的GDP总量
    Belt_road出口目的地是否属于一带一路成员国。若是,该变量取值为1,否则,该变量取值为0
    Table 1. Variable description and the expected results
    自变量全样本发达地区发展中地区
    模型(1)模型(2)模型(3)模型(4)模型(5)模型(6)模型(7)模型(8)
    Geo_PROXit0.00160.00140.00540.0005
    (0.0011)(0.0011)(0.0045)(0.0006)
    Econ_PROXit0.0054**0.0059**0.0136***0.0370**
    (0.0024)(0.0026)(0.0035)(0.0180)
    Cul_PROXit-0.0058-0.0056-0.0266-0.0046
    (0.0067)(0.0067)(0.0168)(0.0046)
    Pol_PROXit0.0071*0.0081**0.0365**0.0049*
    (0.0040)(0.0040)(0.0178)(0.0027)
    Insti_PROXit0.0054**0.0056**0.0389**0.0018
    (0.0026)(0.0026)(0.0163)(0.0018)
    Pop-0.00040.0023-0.00060.00230.00220.00450.0692***0.0045
    (0.0036)(0.0037)(0.0038)(0.0037)(0.0037)(0.0040)(0.0200)(0.0032)
    GDP_total0.0140***0.0138***0.0155***0.0129***0.0127***0.0107***-0.0560***0.0163***
    (0.0032)(0.0032)(0.0034)(0.0033)(0.0033)(0.0035)(0.0197)(0.0030)
    Belt_road0.0276***0.0302***0.0232*0.0335***0.0307***0.0249**0.004640.0159**
    (0.0096)(0.0094)(0.0124)(0.0094)(0.0094)(0.0122)(0.0390)(0.0079)
    年份固定效应
    Table 2. The relationship between market proximity and localization index of firms
    Junyang LIU, Shengjun ZHU. Proximity between markets and the geographical agglomeration of exporters in Guangdong province[J]. Geographical Research, 2020, 39(9): 2044
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