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| 京津冀地区制造业空间格局演化及其驱动因素 | |
| 引用本文： | 蒋海兵,李业锦.京津冀地区制造业空间格局演化及其驱动因素[J].地理科学进展,2021,40(5):721-735. |
| 作者姓名： | 蒋海兵 李业锦 |
| 作者单位： | 1.盐城师范学院城市与规划学院,江苏 盐城 224002 2.首都师范大学资源环境与旅游学院,北京 100048 |
| 基金项目： | 江苏省社会科学基金项目(18GLB014);江苏高校“青蓝工程”资助项目;盐城师范学院“高端人才支持计划”项目;国家自然科学基金项目(41001105) |
| 摘 要： | 京津冀地区产业转移升级、协同发展和先进制造业深度融合发展战略对制造业产业集群的空间布局提出更高要求。论文基于2000—2013年京津冀地区规模以上工业企业微观数据,运用核密度分析法和面板数据回归模型等方法,探究京津冀地区制造业空间格局演化特征及其驱动因素。结果表明：① 京津冀地区全部制造业总体格局相对稳定,高值区集聚于京津唐地区。资本密集型产业区域联动发展势头明显;技术密集型产业则日趋集中于少数区县,且与周边区县空间自相关程度整体弱化;劳动密集型产业区县邻近扩张与疏散转移发展交替出现。区域联动发展促进各地制造业均衡增长,缩小了区域制造业发展差距。② 京津冀地区制造业呈现出明显专业化地域分工趋势。劳动密集型产业日益向中心城市城区外围及中南部县区集中扩散;资本密集型产业集聚于环渤海西岸产业带,京津冀外围地区产业产值大幅度增加;技术密集型产业扎堆于京津高科技产业带。③ 3类制造业的关键驱动因素有所差异。劳动力密集型产业受投资和交通可达性影响;资本密集型产业对本地市场规模和投资依赖性强,受交通可达性影响弱;技术密集型产业主要受制于交通可达性与工资水平。3类制造业均明显受到地方财政支出作用影响。研究可为城市群先进制造业产业空间优化提供参考依据。 |
| 关 键 词： | 制造业 核密度分析 面板回归模型 驱动因素 京津冀地区 |
| 收稿时间： | 2020-06-19 |
| 修稿时间： | 2020-12-14 |
Change of spatial structure of manufacturing industry in the Beijing-Tianjin-Hebei region and its driving factors |
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| JIANG Haibing,LI Yejin.Change of spatial structure of manufacturing industry in the Beijing-Tianjin-Hebei region and its driving factors[J].Progress in Geography,2021,40(5):721-735. | |
| Authors: | JIANG Haibing LI Yejin |
| Institution: | 1. School of Urban and Planning, Yancheng Teachers University, Yancheng 224002, Jiangsu, China 2. College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China |
| Abstract: | The development strategy of industrial transfer and upgrading, coordinated development, and in-depth integration of advanced manufacturing in the Beijing-Tianjin-Hebei region put forward higher requirements for the spatial layout of manufacturing industrial clusters. Research on the change of manufacturing industry spatial pattern can provide a reference for the optimization of urban agglomerations' advanced manufacturing industries. Based on the micro-level data of industrial enterprises above designated size in the Beijing-Tianjin-Hebei region from 2000 to 2013, this study used kernal density analysis and panel data regression models to explore the characteristics and driving factors of the change of the manufacturing industry spatial pattern in the region. The results of this empirical research show that: 1) The overall spatial pattern of all manufacturing industries in the Beijing-Tianjin-Hebei region is relatively stable, and high-value areas are concentrated in the Beijing-Tianjin-Tangshan area. The regional linked development of capital-intensive industries is gaining momentum; technology-intensive industries are increasingly concentrated in a few districts and counties, and the degree of spatial autocorrelation with surrounding districts and counties has weakened as a whole; spatial expansion into nearby districts and counties and spatial transfer of labor-intensive industries appeared alternately; and the regional linked development promotes the balanced growth of manufacturing industries in various regions and narrows the development gap. 2) The manufacturing industry in the Beijing-Tianjin-Hebei region shows a clear trend of specialization and regional division of labor, and labor-intensive industries are increasingly spreading to the periphery of the central cities and the counties in the central and southern areas of the region. Capital-intensive industries are concentrated in the industrial belt on the west coast of the Bohai Sea, the industrial output value of the peripheral areas of the region has increased significantly, and technology-intensive industries are gathered in the Beijing-Tianjin high-tech industrial belt. 3) The key driving factors of the three types of manufacturing industries are different. Labor-intensive industries are affected by investment and transportation accessibility. Capital-intensive industries are highly dependent on local market size and investment, and are insensitive to transportation accessibility. Technology-intensive industries are mainly constrained by transportation accessibility and wage levels. The three types of manufacturing industries are obviously affected by local fiscal expenditures. |
| Keywords: | manufacturing industry kernal density analysis panel data regression model driving factors Beijing-Tianjin-Hebei region |
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