广东工业大学学报 ›› 2022, Vol. 39 ›› Issue (03): 95-104.doi: 10.12052/gdutxb.210178

• • 上一篇    下一篇

珠三角城市群经济联系的演变特征及影响因素探讨

赵亚博1,2, 黄柳倩1, 马世发1, 范建红1, 谢涤湘1   

  1. 1. 广东工业大学 建筑与城市规划学院, 广东 广州 510090;
    2. 自然资源部 城市国土资源监测与仿真重点实验室, 广东 深圳 518034
  • 收稿日期:2021-11-09 出版日期:2022-05-10 发布日期:2022-05-19
  • 通信作者: 谢涤湘(1974-),男,教授,博士,主要研究方向为城市社会文化地理学与城市规划,E-mail:xiedixiang@126.com
  • 作者简介:赵亚博(1988-)，男，讲师，博士，主要研究方向为城市与区域发展，E-mail：zhaoyabo3@163.com
  • 基金资助:
    国家自然科学基金资助项目(42101186, 42071176)；自然资源部城市国土资源监测与仿真重点实验室开放基金资助课题(KF-2020-05-010)；广东省自然科学基金资助项目(2019A1515011653)；广州省社科规划“两压专项”项目(GD20SQ16)

A Discussion on Evolution Characteristics and Influencing Factors of the Economic Links in the Pearl River Delta Urban Agglomeration

Zhao Ya-bo1,2, Huang Liu-qian1, Ma Shi-fa1, Fan Jian-hong1, Xie Di-xiang1   

  1. 1. School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China;
    2. Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, China
  • Received:2021-11-09 Online:2022-05-10 Published:2022-05-19

HTML

PDF (PC)

2380

摘要： 城市间频密的经济联系是城市群的重要特征，并随城市群发育程度的提升而增强。本文以我国发育程度最高的城市群之一?珠三角城市群为实证案例，基于改进的引力模型法、地理信息系统(Geographic Information System，GIS)和二次指派程序(Quadratic Assignment Procedure，QAP)分析法，结合社会经济数据，对2000~2019年城市间经济联系的演变特征进行了分析，并探讨了影响因素。研究发现：珠三角城市群经济联系强度不断提升，其中广州与其余各城市间的经济联系增量最多，深圳市的增幅最大；珠三角城市群经济联系方向呈现稳中有变的趋势，且各个城市的相对地位因此不断发生变化。经济距离差异、经济发展与城镇人口增长、产业分工与产业联系、政策推动是影响经济联系变化的主要原因。其中，经济距离差异是基本原因，与经济联系总量高度负相关；经济发展快慢与城镇人口增速是直接原因，与经济联系的增强保持同步性；产业发展与产业分工则是间接因素，与经济联系的变化具有正相关性；政策因素则是重要推手，在影响经济联系方面发挥着重要作用。本文研究有助于厘清近20年珠三角城市群经济联系的演变特征及影响因素，对制定促进城市群高质量发展的规划与政策具有一定启示意义。

关键词: 经济联系, 城市网络, 演变特征, 珠三角城市群

Abstract: Economic link is an important form of interaction among cities, especially in urban agglomeration areas, and it is increasing with the development level of urban agglomerations. The present study takes the Pearl River Delta urban agglomeration as an empirical case, based on the improved gravity model method, GIS spatial analysis and QAP analysis, combines with social and economic data, analyzes the evolution characteristics of urban economic links in 2000~2019, and discusses the influencing factors. The main results are as follows: While the economic links of the Pearl River Delta urban agglomeration kept increasing constantly, Guangzhou has the largest increase in economic links with other cities, and Shenzhen has the largest increase; the direction of economic links variations in stability, and the relative position of cities in economic links are changing. Economic distance difference, economic development and urban population growth, industrial division and industrial links, and policy promotion are the main influencing factors of economic links. Among them, the difference in economic distance is the basic factor, and highly negatively correlated with the total amount of economic links; the speed of economic development and the urban population growth rate are the direct factors, and its growth is synchronized with the strengthening of economic links; industrial division and industrial links of labor are indirect factors, which have a positive correlation with changes in economic links; policy factors are important promoters and play an important role in influencing economic links. This study can help to clarify the evolution characteristics and influencing factors of the economic links in the Pearl River Delta urban agglomeration, and may have a certain reference for optimizing the urban links and promoting the improvement of urbanization quality.

Key words: economic links, urban network, evolution characteristic, the Pearl River Delta urban agglomeration

中图分类号: 

  • TU984.2
[1] 陈明星, 叶超, 周义. 城市化速度曲线及其政策启示——对诺瑟姆曲线的讨论与发展[J]. 地理研究, 2011, 30(8): 1499-1507.
CHEN M X, YE C, ZHOU Y. Urbanization rate and its policy implications: discussion and development of northam’s curve [J]. Geographical Research, 2011, 30(8): 1499-1507.
[2] 周春山, 王宇渠, 徐期莹, 等. 珠三角城镇化新进程[J]. 地理研究, 2019, 38(1): 45-63.
ZHOU C S, WANG Y Q, XU Q Y, et al. The new process of urbanization in the Pearl River Delta [J]. Geographical Research, 2019, 38(1): 45-63.
[3] 邹兵. 存量发展模式的实践、成效与挑战-深圳城市更新实施的评估及延伸思考[J]. 城市规划, 2017, 41(1): 89-94.
ZOU B. Practices, effects, and challenges of the inventory development pattern: the assessment and extended thoughts of urban renewal implementation in Shenzhen [J]. Urban Planning Review, 2017, 41(1): 89-94.
[4] 赵亚博, 臧鹏, 朱雪梅. 国内外城市更新研究的最新进展[J]. 城市发展研究, 2019, 26(10): 42-48.
ZHAO Y B, ZANG P, ZHU X M. Latest developments in urban renewal research at domestic and abroad [J]. Urban Development Studies, 2019, 26(10): 42-48.
[5] LIU X J, DERUDDER B, WU K. Measuring polycentric urban development in China: an intercity transportation network perspective [J]. Regional Studies, 2016, 50(8): 1302-1315.
[6] CASTELLS M. Rise of the network society[M]. Oxford: Blackwell Publishers, 2000.
[7] TAYLOR P J. Regionality in the world city network [J]. International Social Science Journal, 2010, 56(181): 361-372.
[8] 李春芬. 区际联系——区域地理学的近期前沿[J]. 地理学报, 1995, 50(6): 491-496.
LI C F. Inter-regional connectivity—as a recent frontier of regional geography [J]. Acta Geographica Sinica, 1995, 50(6): 491-496.
[9] 黄俊, 李军, 周恒, 等. 基于城市联系度的武汉城市圈动态发展研究[J]. 规划师, 2017, 33(1): 85-92.
HUANG J, LI J, ZHOU H, et al. Dynamic development of Wuhan metropolitan area based on urban connection [J]. Planners, 2017, 33(1): 85-92.
[10] 王海军, 翟丽君, 刘艳芳, 等. 基于多维城市要素流的武汉城市圈城市联系与功能分析[J]. 经济地理, 2018, 38(7): 50-58.
WANG H J, ZHAI L J, LIU Y F, et al. Urban connection and function in Wuhan urban agglomeration based on multi-dimensional urban factor flows [J]. Economic Geography, 2018, 38(7): 50-58.
[11] 钮心毅, 王垚, 丁亮. 利用手机信令数据测度城镇体系的等级结构[J]. 规划师, 2017, 33(1): 50-56.
NIU X Y, WANG Y, DING L. Measuring urban system hierarchy with cellphone signaling [J]. Planners, 2017, 33(1): 50-56.
[12] SUN B D, ZHANG T L, WANG Y, et al. Are mega-cities wrecking urban hierarchies? a cross-national study on the evolution of city-size distribution [J]. Cities, 2021, 108: 102999.
[13] 许露元, 李红. 城市空间经济联系变化的网络特征及机理——以珠三角及北部湾地区为例[J]. 城市问题, 2015(5): 20-26.
XU L Y, LI H. Network characteristics and mechanism of changes in urban spatial economic linkages: a case study of Pearl River Delta and Gulf of Tonkin [J]. Urban Problem, 2015(5): 20-26.
[14] XIA C, ZHANG A Q, WANG H J, et al. Bidirectional urban flows in rapidly urbanizing metropolitan areas and their macro and micro impacts on urban growth: a case study of the Yangtze River middle reaches megalopolis, China [J]. Land Use Policy, 2019, 82: 158-168.
[15] 王均瑶, 宋崴, 刘彤起. 基于多元“流”数据的吉林省城市网络结构研究[J]. 规划师, 2020, 36(2): 64-68.
WANG J Y, SONG W, LIU T Q. A study on urban network structure based on multi-source flow data, Jilin Province [J]. Planners, 2020, 36(2): 64-68.
[16] 胡国建, 陈传明, 金星星, 等. 中国城市体系网络化研究[J]. 地理学报, 2019, 74(4): 681-693.
HU G J, CHEN C M, JIN X X, et al. Research progress of networking of urban systems in China [J]. Acta Geographica Sinica, 2019, 74(4): 681-693.
[17] 陈朋亲, 郑天祥. 澳门融入粤港澳大湾区世界机场群路向研究[J]. 广东工业大学学报, 2019, 36(6): 45-52.
CHEN P Q, ZHENG T X. A road direction of Macao’s integration into the world airport group of the Greater Bay Area of Guangdong-Hong Kong-Macao [J]. Journal of Guangdong University of Technology, 2019, 36(6): 45-52.
[18] 史琴琴, 康江江, 鲁丰先, 等. 山西省县域可达性及城市经济联系格局[J]. 地理科学进展, 2016, 35(11): 1340-1351.
SHI Q Q, KANG J J, LU F X, et al. Accessibility and urban economic linkages of counties in Shanxi Province [J]. Progress in Geography, 2016, 35(11): 1340-1351.
[19] 刘梅, 赵曦. 城市群网络空间结构及其经济协调发展——基于长江经济带三大城市群的比较分析[J]. 经济问题探索, 2019, 41(9): 100-111.
LIU M, ZHAO X. The spatial network structure of urban agglomeration and its economic-coordinated development - based on the comparative analysis of the three urban agglomerations in the Yangtze River Economic Belt [J]. Inquiry into Economic Issues, 2019, 41(9): 100-111.
[20] 邵丹. 关中城市群核心外围城市联系的空间分析——以西安、渭南为例[J]. 城市发展研究, 2018, 25(7): 148-153.
SHAO D. Spatial analysis on core-periphery urban contact of Guanzhong city clusters: a case study of Xi’an and Weinan [J]. Urban Development Studies, 2018, 25(7): 148-153.
[21] ZHAO M X, DERUDDER B, HUANG J H. Examining the transition processes in the Pearl River Delta polycentric mega-city region through the lens of corporate networks [J]. Cities, 2017, 60: 147-155.
[22] 刘建朝, 高素英. 基于城市联系强度与城市流的京津冀城市群空间联系研究[J]. 地域研究与开发, 2013, 32(2): 57-61.
LIU J Z, GAO S Y. The research of Beijing-Tianjin-Hebei urban agglomerations’ spatial connection based on urban relation intensity and urban flow [J]. Areal Research and Development, 2013, 32(2): 57-61.
[23] 赵东霞, 韩增林, 赵彪. 东北地区城市经济联系的空间格局及其演化[J]. 地理科学, 2016, 36(6): 846-854.
ZHAO D X, HAN Z L, ZHAO B. Spatial framework and change of the northeast China’s economic links [J]. Scientia Geographica Sinica, 2016, 36(6): 846-854.
[24] 徐建斌, 占强, 刘春浩, 等. 基于经济联系与空间流的长株潭城市群空间异质性分析[J]. 经济地理, 2015, 35(10): 36-43.
XU J B, ZHAN Q, LIU C H, et al. The analysis spatial heterogeneity of Changsha-Zhuzhou-Xiangtan urban agglomeration based on economic relation and spatial flow [J]. Economic Geography, 2015, 35(10): 36-43.
[25] 郑蔚, 许文璐, 陈越. 跨区域城市群经济网络的动态演化——基于海西、长三角、珠三角城市群分析[J]. 经济地理, 2019, 39(7): 58-66.
ZHENG W, XU W L, CHEN Y. Dynamic evolution of economic network within inter-regional urban agglomerations: based on the urban agglomerations of West Coast of Taiwan Straits, Yangtze River Delta and Pearl River Delta [J]. Economic Geography, 2019, 39(7): 58-66.
[26] 阮杰儿, 陈颖彪, 千庆兰, 等. 高铁影响下的珠三角城市群经济空间格局的多维度分析[J]. 地球信息科学学报, 2020, 22(5): 1023-1032.
RUAN J E, CHEN Y B, QIAN Q L, et al. A multidimensional analysis of economic spatial pattern of Pearl River Delta urban agglomeration under the influence of high-speed railway [J]. Journal of Geo-information Science, 2020, 22(5): 1023-1032.
[27] 赵祥. 城市经济互动与城市群产业结构分析-基于珠三角城市群的实证研究[J]. 南方经济, 2016(10): 109-120.
ZHAO X. Urban economic interaction and industrial structure of urban agglomeration: an empirical study based on the data of Pearl River Delta urban agglomeration [J]. South Economic, 2016(10): 109-120.
[28] 邓春玉. 基于空间联系的环珠三角产业圈构建研究[J]. 现代城市研究, 2009, 24(7): 75-81.
DENG C Y. Industrial circle construction research of central PRD based on space link [J]. Modern Urban Research, 2009, 24(7): 75-81.
[29] 李红锦, 李胜会. 基于引力模型的城市群经济空间联系研究——珠三角城市群的实证研究[J]. 华南理工大学学报(社会科学版), 2011, 13(1): 19-24.
LI H J, LI S H. Gravity model based on spatial connection of urban agglomeration economies: an empirical study of the Pearl River Delta city group [J]. Journal of South China University of Technology (Social Science Edition), 2011, 13(1): 19-24.
[30] 张建营, 毛艳华. 珠三角城市群经济空间联系实证分析[J]. 城市问题, 2012(10): 2-8.
ZHANG J Y, MAO Y H. An empirical analysis of spatial linkages in the Pearl River Delta economic zone [J]. Urban Problems, 2012(10): 2-8.
[31] 方创琳. 新发展格局下的中国城市群与都市圈建设[J]. 经济地理, 2021, 41(4): 1-7.
FANG C L. China’s urban agglomeration and metropolitan area construction under the new development pattern [J]. Economic Geography, 2021, 41(4): 1-7.
[32] 周一星. 主要经济联系方向论[J]. 城市规划, 1998(2): 22-25.
ZHOU Y X. Theory of the direction of major economic relations [J]. City Planning Review, 1998(2): 22-25.
[33] 苗长虹, 王海江. 河南省城市的经济联系方向与强度-兼论中原城市群的形成与对外联系[J]. 地理研究, 2006, 25(2): 222-232.
MIAO C H, WANG H J. On the direction and intensity of urban economic contacts in Henan Province [J]. Geographical Research, 2006, 25(2): 222-232.
[34] 高鹏, 何丹, 宁越敏, 等. 长江中游城市群社团结构演化及其邻近机制——基于生产性服务企业网络分析[J]. 地理科学, 2019, 39(4): 578-586.
GAO P, HE D, NING Y M, et al. Community structure and proximity mechanism of city clusters in middle reach of the Yangtze River: based on producer service firms’ network [J]. Scientia Geographica Sinica, 2019, 39(4): 578-586.
[35] 张荣天. 长三角城市群网络结构时空演变分析[J]. 经济地理, 2017, 37(2): 46-52.
ZHANG R T. Urban Agglomeration spatial network structure spatial-temporal evolution in the Yangtze River Delta [J]. Economic Geography, 2017, 37(2): 46-52.
[36] 王方方, 杨焕焕. 粤港澳大湾区城市群空间经济网络结构及其影响因素研究——基于网络分析法[J]. 华南师范大学学报(社会科学版), 2018(4): 110-120.
WANG F F, YANG H H. Study on network structure and influencing factors of urban agglomeration spatial economy in Guangdong-Hong Kong-Macao Greater Bay Area: based on network analysis method [J]. Journal of south China Normal University (Social Science Edition), 2018(4): 110-120.
[1] 李若嘉, 张艺铃, 何韶颖. 空间分析技术在特色小镇前期策划中的应用探索——以建德市乾潭镇为例[J]. 广东工业大学学报, 2021, 38(03): 104-110.
[2] 黄健文, 朱雪梅, 徐莹, 熊璐, 张伟国. 基于多源大数据的岭南地区老旧小区空间形态量化研究[J]. 广东工业大学学报, 2019, 36(04): 70-79.
[3] 何韶颖, 郑弘, 汤众. 基于GIS的城市历史文化遗产管理信息系统建设研究[J]. 广东工业大学学报, 2018, 35(05): 38-44.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
版权所有 © 2017 《广东工业大学学报》编辑部
地址：广州市东风东路729号广东工业大学 邮编：510090
电话：020-37626653,020-37626139,020-37626396
邮箱：xbzrb@gdut.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发