从2015年到2019年,利用POI数据分析了中国三个主要城市集群的制造业的空间变化
Chenxi Jin1, Chenjing Fan2,3, Yiwen Gong1
1College of Landscape Architecture, Nanjing Forestry University, Nanjing, China.
Scientific reports
|March 3, 2025
概括
中国中国中国中国.
科学领域:
- 工业地理 工业地理
- 经济地理 经济地理
- 空间分析 空间分析
背景情况:
- 中国的制造业是世界上最有价值的.
- 高分辨率的制造业数据很少,限制了对行业动态的分析.
- 了解空间模式和生存率对于战略发展至关重要.
研究的目的:
- 分析中国制造业的空间模式和演变.
- 确定影响新制造企业进入市场的因素.
- 为优化制造业布局和区域经济发展提供战略指导.
主要方法:
- 从2015年和2019年使用的兴趣点 (POI) 数据.
- 使用一个纯粹的贝叶斯分类器来对制造数据进行机器学习分类.
- 在三个主要城市集群中分析了2,780,266 (2015) 和3,426,501 (2019) 的POI数据点.
主要成果:
- 制造业活动集中在省会和核心城市;增长集中在核心城市地区.
- 北京-天津-河北集群的企业生存率高于珍珠河三角洲.
- 制药制造 (PM) 企业的生存率很高;机电和设备 (ME) 的生存率较低.
- 工业基础是新进入者的关键;土地政策和人口密度是促进因素.
- 人均高GDP和研究机构似乎抑制了制造业的发展.
结论:
- 在中国主要城市集群中确定制造业集中和增长模式.
- 在不同的城市集群和行业类型中观察到不同的企业生存率.
- 工业基础,土地政策和人口密度显著影响新的制造业项目.
- 经济指标,如人均GDP和研究机构,显示出与制造业发展的复杂关系.
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