长江流域资源与环境 >> 2021, Vol. 30 >> Issue (4): 808-817.doi: 10.11870/cjlyzyyhj202104004

• 区域可持续发展 • 上一篇    下一篇

重庆市2009~2018年工业用地供应规模时空特征分析

何慧妍1,杨庆媛1* ,毕国华1,梁伟东2   

  1. (1.西南大学地理科学学院,重庆 400715;2.广州市城市规划协会,广东 广州 510060)
  • 出版日期:2021-04-20 发布日期:2021-05-17

Spatio-temporal Characteristics of Industrial Land Supply in Chongqing from 2009 to 2018

HE Hui-yan 1, YANG Qing-yuan 1, BI Guo-hua 1, LIANG Wei-dong 2   

  1. (1.School of Geographical Science, Southwest University, Chongqing 400715, China;2. Guangzhou Urban Planning Association, Guangzhou 510060, China)
  • Online:2021-04-20 Published:2021-05-17

摘要: 工业用地供应行为的演化是工业经济发展的重要体现,分析工业用地供应规模的时空变化特征,有利于推进土地供给侧结构性改革,促进工业高质量发展,优化国土空间格局。基于重庆市2009~2018年工业用地供应公告数据,建立重庆市工业用地供应数据库,运用基尼系数、核密度分布、冷热点分析和趋势面分析方法,分析重庆市工业用地供应规模的时空变化规律。结果表明:(1)重庆市工业用地供应规模总体上处于波动下降趋势,供应的区位呈现较为明显的东北-西南方向分布。区位基尼系数具有波动性特征,市域和分区都在空间分布不均衡和均衡间反复。(2)工业用地供应点规模呈现出“主环-斑点”式空间布局模式,高密度核心逐渐向主城区中心聚集。供应规模的热点区县在主城区的东西两侧变动,冷点区集中在渝东北角。(3)重庆市的中心城区及其西部和南部具有较大的工业用地供应规模,为建设成渝地区双城经济圈奠定了较好基础。

Abstract: Industrial land supply is an important embodiment of the industrialization process and industrial economic development. Analyzing the temporal and spatial characteristics of industrial land supply scale is conducive to promoting the structural reform of land supply side, promoting high-quality industrial development and optimizing the spatial pattern of land. Based on the announcement data of industrial land supply in Chongqing from 2009 to 2018, the industrial land supply database of Chongqing was established, and the temporal and spatial variation law of industrial land supply scale in Chongqing was analyzed by locational Gini index, kernel density distribution, hot spot analysis and trend analysis. The results show that: (1) From 2009 to 2018, the supply scale of industrial land in Chongqing was in a general trend of fluctuation and decline, and the districts and counties with large supply scale concentrated in the main urban area of Chongqing and the western area of Chongqing. The supply location showed a more obvious distribution in the direction of northeast to southwest. The locational Gini index has the characteristics of volatility, and the spatial distributions are unbalanced and balanced repeatedly. (2) The scale of industrial land supply points presents the spatial layout pattern of “main ring-dot”, and the main ring presents the inner and outer core density change circle layer of “median value-secondary high value-high value”. The high-density core gradually gathered to the center of the main urban area, which is closely related to the establishment of Chongqing Liang Jiang New Area, the establishment or upgrading of industrial parks, and the development of resource-based industries. The hot spot areas of supply scale change in the east and west sides of the main urban area, and the cold spot areas are concentrated in the northeast corner of Chongqing. (3) The central urban area of Chongqing and its western and southern regions had the advantages of large industrial land supply scale, which was consistent with the changes of industrial economic development of Chongqing and the development layout of the city, and have laid a good foundation for the construction of Chengdu-Chongqing city economic circle.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 庄汝龙, 宓科娜, 梁龙武. 中国工业废水排放格局及其驱动因素[J]. 长江流域资源与环境, 2018, 27(08): 1765 .
[2] 唐恩斌, 张梅青.  

高铁背景下城市铁路可达性与空间相互作用格局——以江西省为例 [J]. 长江流域资源与环境, 2018, 27(10): 2241 -2249 .

[3] 顾铮鸣, 金晓斌, 沈春竹, 金志丰, 周寅康. 近15a江苏省水源涵养功能时空变化与影响因素探析[J]. 长江流域资源与环境, 2018, 27(11): 2453 -2462 .
[4] 王 冰, 程 婷. 我国中部城市环境全要素生产率的时空演变——基于Malmquist-Luenberger生产率指数分解方法[J]. 长江流域资源与环境, 2019, 28(01): 48 -59 .
[5] 王刚毅, 刘 杰. 基于改进水生态足迹的水资源环境与经济发展协调性评价——以中原城市群为例[J]. 长江流域资源与环境, 2019, 28(01): 80 -90 .
[6] 陈国磊, 田玲玲, 罗静, 蒋亮, 吴益坤, . 长江经济带城市黑臭水体空间分布格局及影响因子[J]. 长江流域资源与环境, 2019, 28(05): 1003 -1014 .
[7] 魏建飞 程迪 丁志伟 李燕菲 张浩. 2019年7期安徽省镇域经济发展水平的时空分异及空间格局影响因素分析[J]. 长江流域资源与环境, 0, (): 0 .
[8] 窦小东, 黄玮, 易琦, 李蒙, 李忠良. LUCC及气候变化对李仙江流域径流的影响[J]. 长江流域资源与环境, 2019, 28(06): 1481 -1490 .
[9] 高庆九, 尤琦 . 我国江南夏季极端高温季节内变化特征初探[J]. 长江流域资源与环境, 2019, 28(07): 1682 -1690 .
[10] 张新林, 仇方道, 王长建, 王佩顺. 长三角城市群工业生态效率空间溢出效应及其影响因素[J]. 长江流域资源与环境, 2019, 28(08): 1791 -1800 .