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地理科学    2018, Vol. 38 Issue (10): 1670-1680     DOI: 10.13249/j.cnki.sgs.2018.10.011
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再生性资源型城市工业化与城镇空间耦合格局及驱动因素——以徐州市为例
仇方道(),孙莉莉,郭梦梦,谭俊涛,单勇兵
江苏师范大学地理测绘与城乡规划学院,江苏 徐州 221116
Spatial Pattern and Influence Factors Analysis on Coupling and Coordinating Degree of Industrialization and Urban Space of Regenerative Resource-based Cities: A Case of Xuzhou City
Fangdao Qiu(),Lili Sun,Mengmeng Guo,Juntao Tan,Yongbing Shan
School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, Jiangsu, China
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摘要 

整合脱钩模型、耦合协调模型和工业化城镇空间响应测度模型,采用ESDA和GWR等方法,以镇域为研究单元,分析了2003~2015年徐州市工业化与城镇空间耦合格局及影响因素。结果表明:徐州市工业化与城镇空间的脱钩关系呈现由无脱钩向绝对脱钩状态演化,二者之间的耦合协调程度呈增强趋势,但耦合作用不强;徐州市镇域工业化城镇空间响应程度呈波动性增强之势,各镇域间差异在逐渐增大;徐州工业化城镇空间响应强度差异的“一带”、“两翼”格局正在形成,交通区位优越类镇域尤为显著,表明再生性资源型城市工业化城镇空间响应的禀赋基础正在发生改变; 弱响应镇域主要集中于远离城市且区位不便的区域,持续表现为冷点区域,与经济发展水平的区域格局具有一致性;徐州市工业化城镇空间响应的影响因素作用程度呈现政府调控>投资因素>发展阶段>基础设施的特征,且均呈减弱之势,但各因素的影响作用表现出显著的空间异质性。

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仇方道
孙莉莉
郭梦梦
谭俊涛
单勇兵
关键词 再生性资源型城市工业化城镇空间耦合格局徐州市 
Abstract

Based on the decoupling model, coupling coordination model and spatial response measurement model of industrial towns, the article analyzed the coupling pattern of industrialization and urban space as well as its influencing factors in Xuzhou city from 2003 to 2015 by using the methods of Exploratory Spatial Data Analysis (ESDA) and Geographical Weighted Regression model (GWR). The results showed as followed. Firstly, the decoupling relationship between industrialization and urban space in Xuzhou City had evolved from no decoupling to absolute decoupling, and the degree of coupling coordination between them showed an upward trend, but the coupling effect was not strong. Secondly, the degree of industrialization urban spatial response presented a trend of fluctuating increasing in the town of Xuzhou, and the difference among the various towns increased gradually. Thirdly, the strength difference of industrialization urban space response were forming the pattern of one belt and two wings, and the towns with superior traffic location were particularly significant, which indicated that the endowment basis of industrialization urban spatial response in regenerative resource-based cities had been changing. Fourthly, the low urban space response towns mainly agglomerated in the areas far from the city where the location was unchanged, and it continued to present as cold point areas, consistent with the regional pattern of economic development level. Finally, we found that the degree of influence factors on spatial response of industrial towns had the characteristics of the greatest effects on industrialization urban space response, followed by investment factors, development stage and infrastructure, both showing a trend of weakening, but the influence of various factors showed significant spatial heterogeneity.

Key wordsrenewable resource-based cities    industrialization    urban space    coupling pattern    Xuzhou city
收稿日期: 2018-02-12      出版日期: 2018-12-14
基金资助:国家自然科学基金项目(41671123,41671122)、江苏高校哲学社会科学研究重大项目(2018SJZDA010)资助
引用本文:   
仇方道, 孙莉莉, 郭梦梦等 . 再生性资源型城市工业化与城镇空间耦合格局及驱动因素——以徐州市为例[J]. 地理科学, 2018, 38(10): 1670-1680.
Fangdao Qiu, Lili Sun, Mengmeng Guo et al . Spatial Pattern and Influence Factors Analysis on Coupling and Coordinating Degree of Industrialization and Urban Space of Regenerative Resource-based Cities: A Case of Xuzhou City[J]. SCIENTIA GEOGRAPHICA SINICA, 2018, 38(10): 1670-1680.
链接本文:  
http://geoscien.neigae.ac.cn/CN/10.13249/j.cnki.sgs.2018.10.011      或      http://geoscien.neigae.ac.cn/CN/Y2018/V38/I10/1670
Fig.1  徐州市地理位置图
脱钩程度 ΔSI ΔUI ΔUI /ΔSI 含义
绝对脱钩 >0 <0 <0 工业化快速提升而城镇空间缩小
相对脱钩 >0 >0 (0,0.5) 工业化提升速度高于城镇空间扩展速度
>0 >0 [0.5,1)
临界状态 >0 >0 =1 工业化提升速度等于城镇空间扩展速度
负脱钩状态 >0 >0 >1 工业化提升速度低于城镇空间扩展速度
Table 1  城镇空间与工业化脱钩状态分类标准
Fig.2  2003~2015年徐州市工业化与城镇空间脱钩程度空间格局演变
Fig.3  2003~2015年徐州市工业化与城镇空间耦合协调度空间格局演变
Fig.4  2003~2015年徐州市工业化城镇空间响应指数及区域差异变化
Fig.5  2003~2015年徐州市工业化城镇空间响应程度区域差异演变
Fig.6  2003~2015年徐州市工业化城镇空间响应的冷热点区域格局演变
指标 2003年 2009年 2015年
Local R2 0.0844~0.2210 0.2847~0.8632 0.0267~0.5220
Sigma 0.3925 0.3158 0.5084
R2 0.1834 0.5564 0.5788
调整R2 0.1234 0.4879 0.4383
AICc 121.4387 77.3084 202.1004
Table 2  GWR模型检验结果
年份 投资因素 政府调控 发展阶段 基础设施
2003 0.25031 2.21727 0.00001 -0.00003
2009 0.03449 1.35980 0.00005 0.00009
2015 0.01790 0.39752 0.00001 0.00050
Table 3  各影响因素对徐州工业化城镇空间响应的平均影响系数
Fig.7  政府调控能力回归系数
Fig.8  投资因素回归系数
Fig.9  发展阶段回归系数
Fig.10  基础设施回归系数
[1] 余建辉,李佳洺,张文忠. 中国资源型城市识别与综合类型划分[J].地理学报,2018,73(4):677-687.
[Yu Jianhui,Li Jiaming, Zhang Wenzhong.Identification and classification of resource-based cities in China.Acta Geograhica Sinica, 2018,73(4):677-687.]
[2] 焦华富,杨显明.煤炭资源型城市产业结构演替与空间形态演变耦合——以安徽省淮南市为例[J]. 地理学报, 2016, 71(6): 998-1009. [Jiao Huafu, Yang Xianming.Relationship between industrial structure evolution and urban spatial form succession of the coal resource-based cities: A case study of Huainan City. Acta Geographica Sinica, 2016, 71(6): 998-1009.]
[3] 和伟康,苏向辉,马瑛,. 乌鲁木齐市产业结构与城市空间形态耦合及响应关系研究[J]. 中国农业资源与区划,2017, 38(9): 98-105.
[He Weikang, Su Xianghui, Ma Ying, et al.Relationship Between industry structure and urban spatial morphology of Urumqi city. Chinese Journal of agricultural resources and regional planning,2017, 38(9): 98-105. ]
[4] 刘艳军,李诚固,王颖.中国产业结构演变城市化响应强度的省际差异[J].地理研究,2010,29(7):1291-1304. [Liu Yanjun, Li Chenggu, Wang Ying.Inter-provincial differences of the strength of urbanization response to the industrial structure evolution in China. Geographical Research, 2010,29(7):1291-1304.]
[5] 李铁立,李诚固.区域产业结构演变的城市化响应及反应机制[J].城市问题,2003,13(5):50-55. [Li Tieli, Li Chenggu.Mechanism of urbanization response and feedback to the regional industrial structure evolvement. Urban problems, 2003 (5) : 50-55.]
[6] 陈彦光. 城市化与经济发展水平关系的三种模型及其动力学分析[J].地理科学,2011,31(1):1-6.
[Chen Yanguang.Modelling the relationships between urbanization and economic development levels with three functions. Scientia Geographica Sinica, 2011,31(1):1-6.]
[7] 沈玉芳. 产业结构演进与城镇空间结构的对应关系和影响因素[J].世界地理研究,2008,17(4):17-25. [Shen Yufang.Relationship and Influence Factors between Change of the Industrial and Urban and Township Spatial Structures of the Yangtze Delta Area. World Regional Studies,2008,17(4):17-25.]
[8] 刘嘉毅,陈玉萍. 产业结构合理化、高级化与城市空间扩展[J].华东经济管理, 2018, 32(4):32-38.
[Liu Jiayi, Chen Yuping.Industrial Structure rationalization, Upgrading and Urban Spatial Expansion. East China Economic Management, 2018, 32(4):32-38.]
[9] Fujita M, Thisse J.Economics of Agglomeration: Cities, Industrial Location, and Globalization[M]. New York: Cambridge University Press, 2013: 99-148.
[10] 陈伟莲, 张虹鸥, 吴旗韬,. 珠江三角洲城镇群产业结构演变的城镇空间响应强度[J]. 热带地理, 2014, 34(4): 544-552.
[Chen Weilian, Zhang Hong’ou,Wu Qitao et al. Urban Space Response to the Evolution of Industrial Structure in the Pearl River Delta. Tropical Geography, 2014, 34(4):544-552.]
[11] 仇方道,金娜,袁荷,. 徐州都市圈产业结构转型城镇空间响应的时空异质性[J]. 地理科学, 2017, 37(10): 1459-1468.
[Qiu Fangdao, Jin Na, Yuan He et al. Spatiotemporal Difference of Influencing Factors and Strength of Urban Space Response to the Transition of Industrial Structure in Xuzhou Metropolitan Area. Scientia Geographica Sinica, 2017,37(10):1459-1468.]
[12] Louis Albrechts, Patsy Healey, Klaus R.Kunzmann. Strategic Spatial Planning and Regional Governance in Europe[J]. Journal of the American Planning Association, 2003, 69(2):113-129.
[13] 宋飏,肖超伟,王士君,.国外典型矿业城市空间可持续发展的借鉴与启示[J].世界地理研究, 2011, 20(4):76-83. [Song Yang, Xiao Chaowei, Wang Shijun et al. Reference and Revelation on Spatial Sustainable Development of Foreign Typical Mining Cities World Regional Studies, 2011,20(4): 76-83.]
[14] 陈长瑶,杨青山,赵瀚,.资源型城市制造业企业空间分布研究[J].经济地理,2017,37(7):131-138.
[Chen Changyao, Yang Qingshan, Zhao Han, et al.The Evolution of Industrial Spatial Layout of Resource-Based Cities—An Empirical Study of Pharmaceutical Manufacturing Enterprises in Tonghua of Jilin Province. Economic Geography, 2017,37(7):131-138.]
[15] 沈明,沈镭,钟帅,. 基于生态敏感条件的中国资源型城市去产能空间格局优化[J]. 资源科学, 2016, 38(10): 1962-1974. [Shen Ming, Shen Lei, Zhong Shuaiet al. The spatial optimization of mineral industrial capacity reduction planning of resource-based cities in China based on ecological sensitive areas Resources Science, 2016, 38(10): 1962-1974].
[16] 徐州市统计局. 徐州统计年鉴[M]. 北京:中国统计出版社, 2004-2016.
[Xuzhou City Bureau of Statistics. Statistical yearbook of Xuzhou City. Beijing: China Statistics Press, 2004-2016.]
[17] De Bruyn S M, Opschoor J B. Developments in the Throughout-income Relationship: Theoretical and Empirical Observations[J]. Ecological Economics, 1997, 20(3): 255-268.
[18] 赵兴国, 潘玉君, 赵波, . 区域资源环境与经济发展关系的时空分析[J]. 地理科学进展, 2011, 30(6): 706-714. [Zhao Xingguo, Pan Yujun, Zhao Bo et al. Temporal-spatial Evolution of the Relationship between Resource-Environment and Economic Development in China: A Method Based on Decoupling. Progress in Geography, 2011, 30(6): 706-714.]
[19] 王菲,董锁成,毛琦梁,.宁蒙沿黄地带产业结构的环境污染特征演变分析[J].资源科学, 2014, 36(3): 620-631.
[Wang Fei, Dong Suocheng, Mao Qiliang et al. Analysis of the environment-pollution bias of industrial structure in areas along the Yellow River in Ningxia and Inner Mongolia. Resources Science, 2014, 36(3): 620-631.]
[20] 马丽, 金凤君, 刘毅. 中国经济与环境污染耦合度格局及工业结构解析. 地理学报, 2012, 67(10): 1299-1307. [Ma Li, Jin Fengjun, Liu Yi.Spatial pattern and industrial sector structure analysis on the coupling and coordinating degree of regional economic development and environmental pollution in China. Acta Geographica Sinica, 2012, 67(10): 1299-1307.]
[21] 刘艳军, 刘静, 何翠, . 中国区域开发强度与资源环境水平的耦合关系演化. 地理研究, 2013, 32(3): 507-517.
[Liu Yanjun, Liu Jing, He Cui et al. Evolution of the coupling relationship between regional development strength and resource environment level in China. Geographical Research, 2013, 32(3): 507-517.]
[22] Cliff A D, Ord J K.Spatial processes: model &applications[M].London:Pion,1981.
[23] Haining R P.Spatial data analysis[M]. Cambridge: Cambridge University Press,2003.
[24] 胡艳兴,潘竞虎,王怡睿.基于ESDA-GWR的1997-2012年中国省域能源消费碳排放时空演变特征[J].环境科学学报,2015,35(6):1896-1906. [Hu Yanxing, Pan Jinghu, Wang Yirui.Spatial-temporal evolution of provincial carbon emission in China from 1997 to 2012 based on ESDA and GWR modelActa Scientiae Circumstantiae,2015,35(6):1896-1906. ]
[25] Michael J.de Smith , Michael F. Goodchild, Paul A. Longley. Geospatial Analysis: A Comprehensive Guide, 3rd edition [M]. Troubador Publishing Ltd, 2007.
[26] 李诚固,黄晓军,刘艳军.东北地区产业结构演变与城市化相互作用过程[J].经济地理, 2009, 29(2): 231-236.
[Li Chenggu, Huang Xiaojun, Liu Yanjun.Research on mutual progress between development of industrial structure and urbanization in Northeast. Economic Geography, 2009, 29(2): 231-236.]
[1] 杨忍,陈燕纯,徐茜. 基于政府力和社会力交互作用视角的半城市化地区工业用地演化特征及其机制研究——以佛山市顺德区为例[J]. 地理科学, 2018, 38(4): 511-521.
[2] 仇方道,金娜,袁荷,单勇兵,白亮宇. 徐州都市圈产业结构转型城镇空间响应的时空异质性[J]. 地理科学, 2017, 37(10): 1459-1468.
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[5] 马仁锋,张文忠,余建辉,王岱,谌丽. 中国地理学界人居环境研究回顾与展望[J]. 地理科学, 2014, 34(12): 1470-1479.
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[7] 丁志伟,张改素,王发曾. 中原经济区“三化”协调的内在机理与定量分析[J]. 地理科学, 2013, 33(4): 402-409.
[8] 郭荣朝,宋双华,夏保林,冯永杰. 周口市域城镇空间结构优化研究[J]. 地理科学, 2013, 33(11): 1347-1353.
[9] 吴一洲, 吴次芳, 王琳, 罗文斌. 浙江省新型工业化地域差异及其机理研究[J]. 地理科学, 2009, 29(4): 508-514.
[10] 于伯华, 吕昌河. 城市边缘区耕地面积变化时空特征及其驱动机制——以北京市顺义区为例[J]. 地理科学, 2008, 28(3): 348-353.
[11] 李国平, 张洋. 抚顺煤田区域的工业化与城市形态及结构演化研究[J]. 地理科学, 2001, 21(6): 511-518.
[12] 苗长虹. 乡村工业化对中国乡村城市转型的影响[J]. 地理科学, 1998, 18(5): 409-417.
[13] 樊杰. 中国农村工业发展在城镇化过程中的作用——对我国7个建制镇的实证研究[J]. 地理科学, 1998, 18(2): 99-105.
[14] 宋玉祥, 李国平. 抚顺煤矿区域工业化过程的社会背景与劳动力因素研究[J]. 地理科学, 1995, 15(3): 266-273,298.
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