首页|基于GWR模型的制造业空间分布及影响因素研究——以福建省沿海六市为例

基于GWR模型的制造业空间分布及影响因素研究——以福建省沿海六市为例

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制造业对经济发展和带动就业起到了至关重要的作用.本文以福建省沿海六市为研究对象,运用全局空间自相关、热点分析等空间统计方法,对2012-2021年新增的不同类型制造业总量的空间分布特征进行研究,并利用地理加权回归模型分析了6个因素对不同类型制造业空间分布的影响.结果表明,不同类型制造业总体呈现"东南高、西北低"的空间分布特征;不同类型制造业空间集聚的热点区域主要集中在以厦门为中心的闽南沿海一带;地区生产总值和人均消费是吸引制造业落地的有利因素,第三产业是不利因素,常住人口、工业地价变动指数、城镇化对不同类型制造业的影响存在差异.
Research on the spatial distribution and influencing factors of manufacturing industry based on GWR model:a case study of six coastal cities in Fujian
The manufacturing industry plays a crucial role in economic development and employment promotion.This article taking six coastal cities in Fujian as the research object,the spatial distribution characteristics of different types of manufacturing industries newly added from 2012 to 2021 have been studied by using spatial statistical methods such as global spatial autocorrelation and hot spot analysis.The geographical weighted regression model has been used to analyze the impact of six factors on the spatial distribution of different types of manufacturing industries.The results shows that the overall spatial distribution characteristics of different types of manufacturing industries can be characterized by"high in the southeast and low in the northwest".The hot spots for spatial agglomeration of different types of manufacturing industries are mainly concentrated in the coastal area of southern Fujian centered around Xiamen.Gross regional product and per capita consumption are favorable factors to attract manufacturing industry,while the tertiary industry of the economy is unfavorable.The impact of permanent population,industrial land price change index and urbanization on different types of manufacturing industry exists differences.

manufacturing industryglobal spatial autocorrelationhotspot analysisgeographically weighted regressionsix coastal cities in Fujian

洪桦、张渝

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福州新区开发投资集团有限公司,福建 福州 350001

福建蓝带信息科技有限公司,福建 福州 350001

制造业 全局空间自相关 热点分析 地理加权回归 福建省沿海六市

2024

自然资源信息化
国土资源部信息中心

自然资源信息化

影响因子:0.407
ISSN:2097-1001
年,卷(期):2024.(1)
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