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1.
中国是世界汽车生产大国,产销量已连续9年蝉联世界第一,然而有关汽车产业的研究更多集中在区域尺度,对城市尺度的研究相对较少。本文以柳州市为案例,利用工商注册企业数据和核密度估计、负二项回归模型等方法分析了柳州市汽车制造业企业的空间格局与影响因素。结果表明:① 汽车制造业企业主要集中在河西、洛维、河东、阳和等城市组团,企业集聚范围逐步向东、向西扩散,其中向东扩散以柳东新区为主,向西扩散以河西高新技术产业开发区为主;② 汽车制造业企业在距离市中心0~11 km显著集聚,空间集聚强度呈现先增加后减小的趋势;③ 土地价格、交通条件、地方化经济、政策是影响汽车制造业企业区位选择和空间格局的重要因素;同时,汽车制造业JIT(Justin Time)生产方式也具有重要影响。在此基础上,提出汽车制造业企业区位选择和空间格局形成的循环累积机制、区位临近机制、价格传导机制。  相似文献   

2.
电子商务跨越式发展为快递物流行业注入了新鲜血液促使国民经济达到新的增站点,服务网点作为连接快递企业和用户之间的桥梁纽带,逐渐成为城市地理和物流地理的重要研究对象。本文以北京市顺丰快递服务网点为研究对象,首次将DBSCAN聚类算法和无人值守的智能快递柜引入城市物流快递行业研究中,综合使用核密度分析、Ripley's K函数等空间点模式分析方法,定量对比分析有人值守的合作网点和无人值守的智能快递柜两类顺丰快递服务网点的空间布局、集聚特征及影响因素。结果表明:① 基于密度的DBSCAN聚类算法能够快速有效地识别出任意形状的快递服务网点集群,算法识别出24个智能快递柜集群,14个合作网点集群;② 顺丰快递服务网点高密度区主要集中在人口密度大、经济繁华、交通便利的居住区和包含热门商圈的职住区附近,如双井、金融街、三里屯、学院路等;③ 合作网点和智能快递柜两类服务网点均呈集聚性分布,但集聚规模各不相同,具体表现为快递柜集聚规模明显大于合作网点,而集聚强度却小于合作网点;④ 智能快递柜集群密度大,服务半径小,更倾向服务于步行可达范围内的居住小区;合作网点集群密度小,服务半径大,服务对象随服务半径扩展至周边各大职区,对交通可达性的要求更高。⑤ 顺丰快递服务网点布局是地区经济水平、人口规模、交通状况、土地利用类型及城市功能区定位等多种因素综合作用的结果。  相似文献   

3.
The spatial agglomeration of agricultural production is conducive to reducing planting costs, increasing production efficiency and improving product quality. It is an important way to promote the transformation and upgrad of tea industry and realize the modernization of China’s tea industry. This study used Gini coefficient and spatial autocorrelation analysis to explore the characteristics of tea spatial agglomeration in China from three geographical scales: regional level, provincial level and prefecture level from the year 2005 to 2015. The results indicated that there was a significant scale effect on the tea spatial agglomeration. The agglomeration degree increased from the regional level, provincial level to prefecture level. The types of spatial agglomeration evolution of the three scales were Ushaped, continuous diffusion, and continuous agglomeration. The spatial autocorrelation of tea production could only be found at the prefecture level. Meanwhile, at the prefecture scale, we could not only reveal the pattern changes at the regional and provincial levels, but also identify tea production agglomeration regions. Compared with the large scale, the small scale could reveal the characteristics of tea spatial agglomeration in more details. Factors such as natural resource endowments, cost factor, technological advancement, agglomeration economy, and agricultural policy influenced the evolution of tea spatial agglomeration from different geographical scales. Finally, from the perspectives of spatial transfer of tea production, promoting spatial agglomeration, building tea production bases, and breaking administrative boundaries, we proposed several policy suggestions for optimizing the spatial layout of tea production.  相似文献   

4.
企业间的联系是城市联系的重要组成部分,加强对基于企业间联系的城市功能网络分析对丰富城市网络理论研究具有重要意义。采用2010—2020年上市公司与其前五大客户间的贸易关系数据构建了中国城市网络,基于企业间的贸易联系视角分析城市网络时空演变特征。研究表明:(1) 2010—2020年间城市网络规模呈现先升后降的特征,整体网络密度较低,位于0.014~0.018之间;网络重心呈现“S”形空间轨迹变化和整体向南移动的趋势,网络总体空间结构由沿海向“T”形结构转变;(2)网络流量集中于少数节点城市,资金进出量前20城市总额占资金总流量的71.9%,北京、上海是网络的绝对核心,杭州、武汉、深圳、广州等省会或副省级城市承担着区域中心的功能,佛山、齐齐哈尔、南通等制造业发达城市是重要节点;(3)五大城市群中珠江三角洲网络密度最高,位于0.324~0.334之间,长江三角洲贸易总流量最高,为783.5亿元,长江中游城市群和成渝城市群网络发育相对滞后;(4)新冠疫情对整体网络的贸易流量和网络结构产生了明显影响,网络社团进一步分化重组,广州—深圳社团明显增强,上海社团明显减弱。研究结果对推动国内大循环和统...  相似文献   

5.
随着服务业的发展和文化产业的不断推进,城市文化娱乐休闲服务业成为城市经济和社会发展的重要标志和推动力。本文以地理空间实体数据和商业统计数据为基础,以GIS 的空间数据可视化和统计分析方法,研究典型城市娱乐休闲服务业KTV在中国大陆地区的行业发展、空间分布及空间扩散特征。研究表明,KTV在全国发展迅速、分布广泛,在宏、中、微观的全国、省域和市域尺度下,其空间分布分别表现出空间区域分异、等级差异、面状均衡和中心集聚等特征,并与区域经济、人口、文化等因素有一定的相关性。各种类型KTV在空间扩散上具有由东向西,由中心向周边扩散的特点,其中连锁类KTV扩散具有社会经济现象地理扩散规律,主要表现为空间等级扩散和接触扩散特征。  相似文献   

6.
1INTRODUCTIONAgglomeration economies have played important rolesin the growth of regional economies in developed coun-tries, which has been a hot topic of empirical studies fora couple of decades (GLAESER etal., 1992). However,the researches on the relati…  相似文献   

7.
Urban comprehensive carrying capacity is an important guarantee and external representation of regional sustainable development. Based on urban comprehensive carrying capacity, this paper constructed a performance evaluation index system of urban comprehensive carrying capacity, and used entropy method, urban comprehensive carrying capacity measurement model and urban sustainable development model to measure spatial and temporal comprehensive carrying capacity of Harbin City in Heilongjiang Province from 2012 to 2017. The results show that: 1) index weight analysis suggested the regional development mode in Harbin still followed an epitaxial development mode, which pursued the expansion of scale and the growth of total amount of regional development, neglecting the effective utilization of resources and the improvement of structural benefits. 2) In the pressure system, the index of resource support has dropped sharply. The index of environmental capacity and social progress has risen circuitously, while the degree of agglomeration and the value of transportation facilities have risen steadily; in the pressure system, the index of population development and economic growth tended to fluctuate, while energy consumption and environmental pollution showed a more synchronous change in characteristics, and the livable demand remained at a high level. 3) The carrying capacity index of resources and environment in Harbin has been declining, and the acquired carrying capacity index fluctuated. The long-term regional development model has severely impaired the carrying capacity of resources and environment. 4) The comprehensive carrying capacity of Harbin has clear spatial differentiation characteristics. Finally, the paper proposes that location conditions, economic development level, government regulation, and science and technology are the main factors influencing the spatial differentiation of urban comprehensive carrying capacity.  相似文献   

8.
该文以山东半岛城市群作为研究对象,构建产业生态化综合评价指标体系,运用熵值法与主成分分析方法,探讨了山东半岛城市群产业生态化总体水平的时空分异特征及影响因素。结果表明:2004—2016年,山东半岛城市群产业生态化呈现上升趋势,山东半岛城市群产业生态化发展水平不断提高;山东半岛城市群产业生态化空间分异现象显著,形成了以济南和青岛为核心的两极化发展特征;山东半岛城市群产业生态化发展水平的区域化现象愈加明显,呈现出NE—SW走向的不均衡发展;山东半岛城市群产业生态化发展影响因素为区域经济发展水平、政府监管水平、外资利用差异以及区域科学技术差异。  相似文献   

9.
In this study, an inventory analysis approach was used to investigate the intensity of agricultural non-point source pollution(ANSP) and its spatial convergence at national and provincial levels in China from 1999 to 2017. On this basis, spatial factors affecting ANSP were explored by constructing a spatial econometric model. The results indicate that: 1) The intensity of China's ANSP emission showed an overall upward trend and an obvious spatial difference, with the values being high in the eastern and central regions and relatively low in the western region. 2) Significant spatial agglomeration was shown in China's ANSP intensity, and the agglomeration effect was increasing gradually. 3) In the convergence analysis, a spatial lag model was found applicable for interpretation of the ANSP intensity, with the convergence rate being accelerated after considering the spatial factors but slower than that of regional economic growth.4) The spatial factors affecting the ANSP intensity are shown to be reduced by improving agricultural infrastructure investment, laborforce quality, and crop production ratio, while the expansion of agricultural economy scale and precipitation and runoff have positive impact on ANSP in the study region. However, agricultural research and development(RD) investment showed no direct significant effect on the ANSP intensity. Meanwhile, improving the quality of the labor force would significantly reduce the ANSP intensity in the surrounding areas, while the precipitation and runoff would significantly increase the pollution of neighboring regions. This research has laid a theoretical basis for formulation and optimization of ANSP prevention strategies in China and related regions.  相似文献   

10.
Urbanization is a complex process that covers a wide range of topics, of which population, industry and land urbanization are three important aspects. Jilin Province is an important agricultural province in China. The contradiction between population, industry and land urbanization is especially prominent here, and its coupling development is of great practical significance. In this paper, the coupling degree of population-industry-land urbanization in Jilin Province in 1990, 2000 and 2010 is measured by coupling mode. The spatial pattern of the coupling degree is analyzed by trend surface analysis and global and local spatial autocorrelation. The influence factors and their spatial differentiation are discussed using multiple linear regression (MLR) model and geographic weighted regression (GWR) model. The results show that: 1) the coupling degree of population-industry-land urbanization in Jilin Province is at a low level. Judging from the change of time scale, the urbanization of most research units is becoming more and more coordinated. From the comparison of spatial scales, there is significant spatial difference in the research units of different administrative levels. 2) Judging from the global change trend, the coupling degree of population-industry-land urbanization in the central region is higher than that in western and eastern regions. The coordination of urbanization in the central region is relatively good, and the distribution of the cold and hot spots is basically the same as that overall. 3) The spatial pattern of the coupling degree is related to the cold and hot spot distribution of the influence coefficient of urban population density and per capita urban construction land. The variation of the coupling degree spatial pattern is synchronous with the spatial change of the urban population density influence coefficient. 4) The degree of agglomeration of the urban population is the main factor promoting the coupling pattern of population-industry-land urbanization in Jilin Province, and the extent of its influence is gradually increasing. In addition, the level of city administrative, the efficiency of urban expansion and the capacity of market consumption also have an important influence on the coupling pattern.  相似文献   

11.
It is great important to the health development of urban agglomeration to correctly understand the formation and development law of regional structure of urban agglomeration. Employing the analysis methods like fractal theory and quantitative statistics, coupling with the use of remote sensing images and other spatial data, this article discusses the urban agglomeration of oasis on the northern slope of the Tianshan Mountains in an arid area, and conducts the researches on its city scale, spatial distribution and individual form from 1990 to 2005. The result shows that it has loose hierarchical scale structure and polarization trend of population distribution while its hierarchical scale structure tends to mature. Under the influence of natural conditions, the spatial layout of urban agglomeration of oasis has macro characteristics that suggest cities distributed along oasis edges (dense or sparse), spatially expand along rivers, and cluster around traffic branches. The connectivity among the cities is high and shows an internal organization form of a banding distribution. The whole spatial shape of the internal structure of cities presents a “dumbbell” form, with mononuclear phenomenon receding and multi-nuclear appearing gradually. Individual cities spatially expand along rivers, portraying a long strip appearance. It indicates that the urban agglomeration of oasis shows regular and close structure but with a tendency to be complicated form and the loose structure. In the development of urban agglomeration, the authors recommend that the development of the city with good economic development conditions should be strengthened, and more attention be put into regional planning.  相似文献   

12.
铁路客流是城市群内经济社会联系的重要反映,也是区域流空间的关键体现。本文依据流空间理论,采用复杂网络方法和2018年中国铁路班次OD数据,从全国尺度分析城市群社区结构特征,并从城市群尺度比较分析了5个主要城市群的空间结构、规模结构和网络节点结构。结果显示,从铁路客运班次联系来看,城市组团片区与国家规划方案中的城市群在范围上存在一定的空间错位。5个主要城市群具有不同的局部特征:① 长江三角洲城市群呈网络状的空间形态和相对集聚的规模分布,主要问题为局部节点的枢纽作用与规模的匹配性有待提高;② 珠江三角洲城市群呈放射状的空间形态和相对集聚的规模分布,主要问题为与全国其他城市群的联系相对薄弱;③ 京津冀城市群呈放射状的空间形态和相对集聚的规模分布,主要问题为存在边缘化的节点;④ 长江中游城市群呈组团状的空间形态和相对分散的规模分布,主要问题为内部结构较为松散;⑤ 成渝城市群呈哑铃状的空间形态和相对集聚的规模分布,主要问题为与全国其他城市群的联系薄弱。随着区域一体化进程,需要根据不同城市群网络结构发展阶段的差异,补足城市群内和城市群间的联系短板,促进规模位序结构与网络结构的耦合协调,推动建设层次分明、枢纽协作、网络化发展的客运服务网络,支撑城市群一体化发展。  相似文献   

13.
以广州市47 026个零售业网点为基本数据,通过梳理零售业空间分异的机制,构建包含人口密度、商务条件、公共交通便利性、业态丰富度与租金条件5个影响因子的零售业态空间分异影响因素评价体系,通过信息熵、核密度函数与空间回归模型分析零售业态的空间分异影响因素,对比不同城市圈层区位与不同零售业态集聚分异的因素差异。结果表明:① 需求、区位、竞争与成本构成了广州市零售业态空间分异的主要驱动力,同时,零售的景观分异也由于业态异质性与城市的空间异质性而存在驱动力分异;② 5个影响因素强度格局圈层差异明显,城市内圈层人口集聚度高,具备更好的公共交通便利性条件、商务条件与业态丰富度,同时也承受更高的地租;③ 人口密度是零售空间分异的核心要素,公共交通便利性条件、商务条件与业态丰富度对零售的集聚也有正向驱动作用,租金的影响较弱;不同圈层区位的零售空间分布与不同类型业态的空间分异的主要影响因素各不相同。  相似文献   

14.
饮食地理文化作为地域文化中最具地方特色的重要元素,在现代人口大规模流动背景下呈现出全新的多样化局面,而基于传统认知的“南甜北咸”的地域分异已然不能代表中国现代食甜分布的空间特征。因此,本文采用网络爬虫技术,获取我国大陆31个省会城市共计约2000万条美食消费数据,从传统类菜品、主食类菜品、饮料类和甜品类菜品4个方面计算城市食甜度,在ArcGIS、MySQL软件支持下,借助GIS空间分析和数理统计方法探究我国现代食甜习惯的空间分布特征,分析影响食甜分布的因素。研究发现:① 中国食甜在空间分布上存在显著的地域分异特征,聚类分析评价参数R 2高达0.88,现代食甜习惯总体呈现“东高北中,西微内低”的包围式格局;② 从整体抑或局部角度,在1%显著性水平上莫兰指数均为正,中国食甜分布呈现显著的空间正相关关系,形成特色鲜明的3个地理集聚区,即以苏浙沪闽为主的东南沿海高甜集聚区,以渝黔川为主的西南内陆低甜集聚区和以陕宁为主的西北内陆低甜集聚区;③ 构建了中国现代食甜习惯分布影响因素模型,其拟合精度为0.82,分析结果显示降水、湿度、气温等气象要素及地理位置是影响现代我国食甜空间分布的重要因素。  相似文献   

15.
长江三角洲地区制造业集群辨识及空间组织特征   总被引:1,自引:0,他引:1  
本文基于投入产出表的主成分分析和企业空间分布数据的聚类分析,从产业功能联系和空间联系角度辨识长江三角洲地区主要的制造业集群,并从企业、产业、区域3个维度刻画和比较不同类型制造业集群的空间组织特征。研究表明,长江三角洲地区存在冶金及装备、电子信息、纺织及服装等12个垂直联系紧密的制造业群组,并高度集聚于沿沪宁线、沪杭线、杭甬线的“Z”字形区域。冶金及装备、电子信息和纺织及服装3个制造集群分别呈现轮辐式、卫星式和马歇尔式产业集群组织方式。上海和江苏的制造业集群在集群规模、大型企业占比、外资企业占比等方面,要明显高于浙江的制造业集群。  相似文献   

16.
Duringtheprocessofnationaleconomy'stransi-tion,thedeterminantpowerofeconomicdevelopmenthaschangedgraduallyfromcentralgovemmenttolocalgovemments.Cities,asthecenterofregionaleconomicdevelopment,notonlydeterminethecompetitivenessoftheregionbuthavebecomethemainimpetusforthechangesofmacroeconomicpatternasweIl.Sotaking2o9perfecture-levelcitiesasresearchsubjects,weanalyzethemacropatternofurbancompetitivenessandcomprehendtheinternalimpetusandmechanismofre-gionaldevelopment,whichhavegreatsignificanceon…  相似文献   

17.
The Pearl River Delta (PRD) has been the mostdynamic region of China in the 1980s. The gross outputvalue of industry and agriculture, gross output value ofindustry, total amount of retail sales of consumer goodsand government revenue are chosen to examine the economic growth of the PRD. From 1980 to 1991, theabove-mentioned .four indicators increased at annualaverage rate of 23. 92%, 25. 16%, 20. 05% and16. 32% respectively, being 7. 86, 8. 43, 5. 63 and4. 77 percent points above that of t…  相似文献   

18.
The article analyzed the spatial division of industries of the Pearl River Delta (PRD) in the 1990s, a period that witnessed the deepening of the reform and opening policies and continued rapid development of the region. By adopting the index of specialization, the extent of specialization, its change and its spatial distribution in the region are measured and demonstrated. The research revealed that, despite the trend of more balanced development of the secondary sector between the PRD and the rest of the province, in the PRD, it is the unbalanced development that dominated and the spatial division of the secondary sector has been shaped. The tertiary industry has also been experiencing unbalance development and the spatial division of the tertiary sector has been emerging, its extent of concentration appearing even more evident than that of the secondary sector. The author also discussed the linkage between the spatial division of the two sectors. In the end of the paper, the trends of the spatial division of the industries in the PRD are forecasted. Foundation item: Under the auspices of the National Natural Science Foundation of China (No. 49831030). Biography: XU Yong-jian (1972 – ), female, a native of Changsha City, Ph. D.. Her research interest includes urban geography.  相似文献   

19.
Based on the analysis of its basic characteristics, this article investigated the disparities of Chinese service industry among the three regions (the eastern China, the western China and the middle China) and inter-provincial disparities of that in the three regions by Theil coefficient and cluster analysis. Then, major factors influencing its spatial disparity were explored by correlation analysis and regression analysis. The conclusions could be drawn as follows. 1) The development of Chinese service industry experienced three phases since the 1980s: rapid growth period, slow growth period, and recovery period. From the proportion of value-added and employment, its development was obviously on the low level. From the composition of industrial structure, traditional service sectors were dominant, but modern service sectors were lagged. Moreover, its spatial disparity was distinct. 2) The level of Chinese service industry was divided into five basic regional ranks: well-developed, developed, relatively-developed, underdeveloped and undeveloped regions. As a whole, the overall structure of spatial disparity was steady in 1990–2005. But there was notable gradient disparity in the interior structure of service industry among different provinces. Furthermore, the overall disparity expanded rapidly in 1990–2005. The inter-provincial disparity of service industry in the three regions, especially in the eastern China, was bigger than the disparity among the three regions. And 3) the level of economic development, the level of urban development, the scale of market capacity, the level of transportation and telecommunication, and the abundance of human resources were major factors influencing the development of Chinese service industry.  相似文献   

20.
Since China opening to outside world, the economy in the Pearl(Zhujiang) River Delta(PRD) has been dou-ble digit growth. It has been known as one of mature fast growth areas in the world and become the model and hope of Chi-nese reform and opening to outside world. The regional development in PRD is the outcome of polarization effects. The polar-ization effects actually are extension of international regional division and a combination of Hongkong‘‘s influence and re-form and open-door policies on the mainland. Since the 1990s, driven by knowledge-based economy, the PRD has furtheradjusted the industrial structure and achieved good progress in upgrading industrial structure. Its high technology industryhas developed quickly and the economic internationalization has deepened, meanwhile, the region is going through transforma-tion and some new trends have begun to appear, which include: university towns springing up, industrial globalization andthe construction of Hi-tech development zones. The paper suggests that with the economic growth changing from relying onthe low level production elements to relying on high level production elements, the regional policies in GuangdongProvince should develop correspondingly: 1) make a plan to prohihite the blind construction in innovative spatial construc-tions; 2) make measures to attract the overseas talents to establish a pool of talent; 3) work out the favorable policies forabsorbing larger capital; 4) formulate the policy of attracting a cluster of industries to speed up the upgrade of industrialdevelopment.  相似文献   

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