基于GIS的京津冀城市群经济空间聚散形态演变研究
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摘要
论文在系统收集1995年—2015年京津冀13个城市经济发展数据基础上,利用熵值法测算13个城市经济发展水平,并在GIS技术支持下,从城市群经济空间集聚度演变、趋势面分析、空间自相关分析三个层面系统探讨了京津冀城市群1995年—2015年经济空间聚散形态演变过程及规律。研究结果表明:20年间,京津冀城市群经济空间格局形态有从分散到集中再到分散的转化过程;20年间,城市群经济空间未形成空间连绵的稳定态势,北京和天津一直是区域的"两极",呈现"孤岛"形态;石家庄有望成为新的区域经济增长极,但对周边的辐射带动作用有待进一步加强。
Based on the collection of the economic development data of 13 cities in Beijing-Tianjin-Hebei region from 1995 to 2015, the paper uses the entropy method to calculate the economic development level. With the support of GIS technology, this paper analyzes the evolvement of eco-spatial agglomeration and dispersion from 1995 to 2015 in three levels:the evolution of agglomeration degree, trend-surface analysis and spatial autocorrelation. The results are as follows: In the past 20 years, the economic spatial pattern of the urban agglomerations in Beijing-TianjinHebei has transformed from decentralization to concentration and then to decentralization. Also, the economic space in the urban agglomerations did not form a spatial stable situation. Beijing and Tianjin have been the regional "Two Poles", showing the shape of "island"; after 2015, Shijiazhuang is expected to become a new regional economic growth pole, However, its influence towards the nearby cities needs to be further strengthened.
Based on the collection of the economic development data of 13 cities in Beijing-Tianjin-Hebei region from 1995 to 2015, the paper uses the entropy method to calculate the economic development level. With the support of GIS technology, this paper analyzes the evolvement of eco-spatial agglomeration and dispersion from 1995 to 2015 in three levels:the evolution of agglomeration degree, trend-surface analysis and spatial autocorrelation. The results are as follows: In the past 20 years, the economic spatial pattern of the urban agglomerations in Beijing-TianjinHebei has transformed from decentralization to concentration and then to decentralization. Also, the economic space in the urban agglomerations did not form a spatial stable situation. Beijing and Tianjin have been the regional "Two Poles", showing the shape of "island"; after 2015, Shijiazhuang is expected to become a new regional economic growth pole, However, its influence towards the nearby cities needs to be further strengthened.
引文
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[2]IAN R GORDON,PHILIP MCCANN.Industrial cluster:complexes,agglomerations and/or social network?[J].Urban Studies,2000,37(3):513-532.
[3]BATTEN D.Network cities:creative urban agglomerations for the 21st Century[J].Urban Studies,1995,32(2):313-327.
[4]胡序威,周一星,顾朝林,等.中国沿海城镇密集地区空间集聚与扩散研究[M].北京:科学出版社,2000.
[5]宁越敏,旋倩,查志强.长江三角洲都市连绵区形成机制与跨区域规划研究[J].城市规划,1998,22(1):16-20.
[6]周明生,诸子博.京津冀地区空间经济差异分析[J].首都经济贸易大学学报,2016,18(3):59-67.
[7]周文通.京津冀经济发展的空间溢出效应--基于动态空间计量的实证研究[J].中国社会科学院研究生院学报,2016(2):45-52.
[8]祝辉,张晋晋,安树伟.城市群发展状态的测度研究--以京津冀城市群为例[J].工业技术经济,2014(9):43-53.
[9]王伟.中国三大城市群经济空间宏观形态特征比较[J].城市规划学刊,2009(1):46-53.
[10]李佳洺,张文忠,孙铁山,等.中国城市群集聚特征与经济绩效[J].地理学报,2014,69(4):474-484.
[11]朱顺娟.长株潭城市群空间结构及其优化研究[D].长沙:中南大学,2012.
[12]付益松,张明.城市房价空间分布及其影响因素分析[J].测绘科学,2017,42(8):49-52.
[13]陈红娟,孙桂平,石晓丽.基于GIS的京津冀地区新型城镇化水平时空格局演化[J].生态经济,2016,32(8):73-77.
[14]牛强.城市规划GIS技术应用指南[M].北京:中国建筑工业出版社,2012.
[15]鲁继通,祝尔娟.促进京津冀城市群空间优化与质量提升的战略思考[J].首都经济贸易大学学报,2014(4):51-57.