Journal of Natural Resources, Volume. 35, Issue 7, 1672(2020)

Analysis of Harbin cross-regional network based on industry structure

Zhe CUI1... Li-zhen SHEN1,*, Zi-shen LIU1 and Xia WANG2 |Show fewer author(s)
Author Affiliations
  • 1School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China
  • 2School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China
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    Figures & Tables(10)
    Research framework and city node selection
    Relationship between CDC and distance of city-dyads
    CDC-GRP fitting of Harbin and other cities
    The distribution of strength and ranking
    • Table 1. Ranking of cities with new enterprise flows to Harbin between 2000 and 2018

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      Table 1. Ranking of cities with new enterprise flows to Harbin between 2000 and 2018

      时间段/排名12345678910
      向哈尔滨输出分支企业的前十名城市
      2000年以前北京沈阳上海深圳大连天津牡丹江大庆长春广州
      2000—2005年北京上海沈阳大连深圳天津大庆广州长春牡丹江
      2005—2010年北京上海沈阳深圳大连广州天津大庆长春牡丹江
      2010—2015年北京上海沈阳深圳大连天津大庆广州长春牡丹江
      2015—2018年北京上海深圳沈阳天津大连大庆长春广州南京
      接受哈尔滨输出分支企业的前十名城市
      2000年以前大庆牡丹江齐齐哈尔绥化沈阳大连长春北京西安上海
      2000—2005年大庆北京齐齐哈尔牡丹江长春沈阳绥化大连天津吉林
      2005—2010年北京大庆齐齐哈尔牡丹江绥化长春大连沈阳天津西安
      2010—2015年牡丹江齐齐哈尔大庆绥化北京重庆沈阳长春大连成都
      2015—2018年绥化齐齐哈尔大庆牡丹江长春北京大连沈阳深圳青岛
    • Table 2. Change of Northeast China's enterprises outward to Harbin from 2008 to 2018 and before 2008

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      Table 2. Change of Northeast China's enterprises outward to Harbin from 2008 to 2018 and before 2008

      排名行业名称占比变化排名行业名称占比变化
      1商务服务业0.136881电气机械和器材制造业-0.0199
      2餐饮业0.074782印刷和记录媒介制造业-0.0211
      3资本市场服务0.058983居民服务业-0.0231
      4纺织服装、服饰业0.057384家具制造业-0.0246
      5房屋建筑业0.053185汽车制造业-0.0269
      6房地产业0.044986造纸和纸制品业-0.0313
      7批发业0.033487通用设备制造业-0.0341
      8专业技术服务业0.028788多式联运和运输代理业-0.0469
      9租赁业0.026589烟草制品业-0.0479
      10建筑安装业0.020590铁路运输业-0.0494
    • Table 3. Difference of industry proportion of enterprise flow between Harbin and other cities in Northeast China and outside Northeast China

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      Table 3. Difference of industry proportion of enterprise flow between Harbin and other cities in Northeast China and outside Northeast China

      排名行业名称地区差异排名行业名称地区差异
      1房屋建筑业0.304081教育-0.0906
      2铁路运输业0.238482计算机、通信和其他电子设备制造业-0.0976
      3石油、煤炭及其他燃料加工业0.191083互联网和相关服务-0.1137
      4建筑安装业0.180284纺织服装、服饰业-0.1172
      5房地产业0.142185专业技术服务业-0.1200
      6餐饮业0.110486文化艺术业-0.1401
      7机动车、电子产品和日用产品修理业0.109587科技推广和应用服务业-0.1906
      8汽车制造业0.105088研究和试验发展-0.2411
      9烟草制品业0.096589资本市场服务-0.3820
      10零售业0.089990软件和信息技术服务业-0.4579
    • Table 4. CDC between Harbin and cities in range of research

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      Table 4. CDC between Harbin and cities in range of research

      城市总关联度城市总关联度城市总关联度城市总关联度
      北京100青岛40无锡24南昌16
      上海82南京40海口23呼和浩特15
      沈阳75重庆39石家庄23兰州15
      大庆73杭州38松原23乌鲁木齐14
      深圳70成都36延吉22佛山13
      大连68武汉36郑州21四平12
      牡丹江67西安34合肥19南宁10
      齐齐哈尔67吉林33唐山19贵阳8
      天津62宁波30长沙18银川7
      绥化61苏州28福州18辽源6
      长春59济南27太原17西宁5
      广州51厦门26昆明17
    • Table 5. RCDC between Harbin and other cities

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      Table 5. RCDC between Harbin and other cities

      城市相对连接强度城市相对连接强度城市相对连接强度城市相对连接强度
      北京25.1兰州3.1昆明-0.9南宁-5.8
      海口13.9太原3.1南昌-1.4郑州-6.0
      深圳11.3杭州1.8武汉-2.3无锡-6.8
      西安11.2乌鲁木齐1.4成都-2.6贵阳-6.8
      厦门10.2石家庄1.3银川-3.2广州-7.4
      天津7.9呼和浩特1.0合肥-3.6长沙-13.2
      青岛7.5宁波0.5唐山-3.7重庆-14.6
      南京5.7上海0.01西宁-4.5佛山-16.0
      济南3.2福州-5.0苏州-19.2
    • Table 6. Comparative advantage of different industries in the connection between other cities and Harbin

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      Table 6. Comparative advantage of different industries in the connection between other cities and Harbin

      关联城市相对连接强度制造业比较优势高级生产者服务业比较优势其他服务业比较优势
      相对强联系北京25.10.4571.287*0.903
      海口13.90.9380.7271.373*
      深圳11.31.009*1.185*0.933
      西安11.21.746*0.5271.231*
      厦门10.21.608*0.5791.233*
      天津7.91.755*0.5261.228*
      青岛7.51.392*0.7981.063*
      南京5.71.042*1.050*0.746
      济南3.22.710*0.2421.119*
      杭州1.81.076*1.123*0.808
      石家庄1.32.202*0.3801.194*
      宁波0.52.634*0.2791.110*
      上海0.011.527*0.7011.119*
      相对弱联系昆明-0.94.221*0.3640.229
      武汉-2.31.292*0.7161.216*
      成都-2.60.8341.374*0.610
      唐山-3.71.324*0.1281.939*
      福州-5.01.481*0.6891.157*
      郑州-6.01.777*0.6891.012*
      无锡-6.80.8440.3271.923*
      广州-7.41.2510.9580.930
      长沙-13.21.876*0.7270.916
      重庆-14.61.608*0.3461.526*
      佛山-16.02.345*0.5460.916
      苏州-19.21.608*0.3741.491*
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    Zhe CUI, Li-zhen SHEN, Zi-shen LIU, Xia WANG. Analysis of Harbin cross-regional network based on industry structure[J]. Journal of Natural Resources, 2020, 35(7): 1672

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    Paper Information

    Received: Apr. 17, 2019

    Accepted: --

    Published Online: Jan. 6, 2021

    The Author Email: SHEN Li-zhen (shellyjun@163.com)

    DOI:10.31497/zrzyxb.20200712

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