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1.
中国区域经济增长与差异格局演变探析   总被引:24,自引:2,他引:22  
在评析区域经济差异研究进展的基础上,以中国大陆31个省、自治区、直辖市为研究单元,以人均国内生产总值(GDP)为测度变量,定量评价了改革开放以来中国区域经济差异及空间格局变化的总体水平与特征;并引用国外最近使用的区域分离系数等方法,分析了中国区域经济增长与差异格局变化的相互关系,得出的基本结论为:随着中国经济的不断增长,其东、中、西三大区域逐渐发散趋异,而南、北两大区域逐渐收敛趋同。  相似文献   

2.
江苏省区域经济极化及其动力机制定量分析   总被引:67,自引:3,他引:64  
欧向军  顾朝林 《地理学报》2004,59(5):791-799
在分析国内外区域经济极化研究进展的基础上,引用最近的国外区域经济极化有关研究方法,以人均国内生产总值 (GDP) 为测度区域经济极化的变量指标,定量评价改革开放以来江苏省区域经济差异与极化的总体水平与变化特征,并发现:随着区域经济差异的扩大,区域极化明显增强,其主要影响因素是区域发展策略、乡村工业化和外商直接投资 (FDI)。分析结果表明:自上而下的动力因子是影响江苏省区域经济极化的最主要方面。在空间上,江苏省区域经济极化明显表现为南北区域的分化与城乡分化两个方面。  相似文献   

3.
基于区域分离系数的江苏省区域经济差异成因定量分析   总被引:18,自引:3,他引:15  
欧向军  赵清 《地理研究》2007,26(4):693-704
本文以人均国内生产总值为测度区域经济差异的变量指标,运用基尼系数和塞尔指数定量评价了改革开放以来江苏省区域经济差异总体水平与变化特征,主要表现为区域总差异扩大的同时,苏南、苏中与苏北三大区域之间的差异和县域之间的差异不断扩大;在此基础上,分析了历史发展基础、经济区位条件、区域发展策略、产业结构转换、乡镇企业发展、经济全球化和市场发育程度等7个因素对江苏省区域经济差异及其变化的影响,并引用国外的区域分离系数方法,定量比较了它们的主次关系。分析结果表明:市场发育程度、产业结构转换和区域发展策略是造成江苏省区域经济差异扩大的最主要因素。  相似文献   

4.
以人均国内生产总值为测度区域经济差异的变量指标,运用标准差、标准差系数、相对发展率、泰尔指数定量分析1995年以来东北地区区域经济差异变化特征与区域经济空间格局.分析表明:东北地区经济发展绝对差异总体增大,相对差异呈明显的倒“U”型,但金融危机过后有进一步上升趋势;区域内部差异远大于各省区之间差异,各省区内部差异明显不同,黑、辽与吉、蒙东呈现出经济发展水平与区域差异水平匹配的“高高”、“低低”俱乐部发展趋势;经济水平呈现出显著的“T”字型空间格局,区域经济发展速度南北差异明显,辽中南城市群是东北地区经济发展的核心地.东北振兴战略实施对东北地区经济差异演变与空间格局的形成起到重要作用,主体功能区划将进一步促进东北地区经济的协调发展.  相似文献   

5.
长江中游经济带区域经济差异及其时空演变特征   总被引:2,自引:0,他引:2  
以长江中游经济带的鄱阳湖生态经济区、皖江城市带、武汉城市圈、长株潭城市群各地级市为研究单元,以1995-2011年常住人口总数、总GDP和人均GDP为测度指标,采用标准差、变异系数、泰尔指数、空间自相关等方法,在ArcGIS及GeoDA等软件的支持下,从时空角度分析了研究区域经济差异及其演变特征。结果表明:从时间演变特征看,长江中游经济带总体发展水平不断上升,绝对经济差异在不断扩大,且这种扩大趋势从2000年后逐步增强;相对经济差异不显著,4个经济区中1995-2003年武汉城市圈经济相对发展最快,鄱阳湖生态经济区发展最慢,2003-2011年皖江城市带发展最快,武汉城市圈发展速度有所下降;各经济区内部经济差异不断扩大,其中武汉城市圈内部经济差异最大。从空间演变特征看,区域内经济发展的空间差异逐渐加大,空间集聚趋势越来越弱,扩散效应逐渐增强,高水平发展的城市出现极化现象,中心城市的辐射带动作用不强。交通区位、区域政策、中心城市的联动、资源禀赋与产业结构是引起区域经济差异的主要原因。  相似文献   

6.
品牌旅游城市社会经济影响因素及形成分析   总被引:1,自引:0,他引:1  
从中国省际旅游城市分布特征出发,重点分析各省份社会经济因素对热点旅游城市形成的影响。以优秀旅游城市为基础,旅游百强城市为对象,分析不同省份品牌旅游城市形成率的差异性,中东部地区品牌形成率较高,而西部边疆地区品牌形成率低。以各省份人口密度、人均GDP、交通区位和优秀城市数为关键指标构建品牌形成率系数方程,定量分析各因素对品牌形成率的影响,人均GDP和人口密度对品牌形成率的影响最大,边际贡献分别为0.37,0.32。优秀旅游城市、旅游百强城市和品牌形成率的省际差异表明,京津冀、长江三角洲、珠江三角洲构成中国旅游的地理枢纽。研究结果为通过外部区域社会经济发展促进品牌旅游城市建设提供事实依据,也为在实践上认识中国旅游的地理格局提供重要理论支撑。  相似文献   

7.
基于城市尺度的中国区域经济 增长差异及其因素分解   总被引:16,自引:4,他引:12  
李莉  刘慧  刘卫东  刘毅 《地理研究》2008,27(5):1048-1058
区域经济差异一直是地理学与经济学的重要研究领域。文章以中国地级及以上城市为区域分析单元对1999~2004年间中国区域经济增长及其差异进行了考察。首先基于GDP及其变化与人均GDP水平,对各城市区域经济增长类型进行划分并分析了不同类型城市的区域差异性;其次,对中国各城市GDP增长进行了空间和因素分解。研究发现,一些经济相对衰落的省区中仍然存在经济相对崛起的城市,且一个城市的经济规模在所属省区的序位变化在很大程度上能够反映其在全国的经济规模序位的变化;资本要素对于中国各城市第二产业GDP增长产生了广泛而重要的影响,但是城市在实现资本拉动驱动下的经济增长的同时,资本的产出效率并没有提高。我国十五期间,各城市第二产业专业化程度的普遍降低,表明劳动力要素对第二产业经济增长的作用是有限的。  相似文献   

8.
基于不同尺度的中国区域经济差异   总被引:27,自引:3,他引:24  
陈培阳  朱喜钢 《地理学报》2012,67(8):1085-1097
采用变异系数、泰尔指数、空间自相关和尺度方差等统计方法从地带、省级、地级和县级4 个尺度对1998-2009 年中国区域经济差异进行测度和空间格局比较分析。① 差异测度研究表明, 自1998 年以来, 中国区域经济差异在4 个尺度上均表现出扩大的趋势;省级、地级和县级单元人均GDP具有显著的空间自相关性, 其中地级和县级人均GDP的空间自相关程度呈扩大趋势。② 尺度方差及其分解研究表明, 尺度方差及其构成大小依次排列均为县级、地级、省级、地带, 即尺度越小, 尺度方差越大, 对区域经济差异的贡献份额也越大。③ 空间格局研究表明, 不同尺度区域经济空间关联格局总体相对稳定, HH类型集聚区大多分布于东部沿海地区, LL类型在中西部地区的大规模集聚是不同尺度区域经济空间自相关性的主要原因;各尺度显著空间关联类型对总体空间自相关和区域经济差异的影响各不相同。  相似文献   

9.
中国区域经济差异变化的空间特征及其政策含义研究   总被引:54,自引:6,他引:54  
采用了种省区人均国内生产总值与全国平均值的离差和比离两个指标,分别判断1990 ̄1995年我国区域经济绝对差异和相对差异变化的空间状态,并进一步阐明了其调控区域经济差异的政策含义。  相似文献   

10.
福建省农业经济增长区域差异变化分析   总被引:2,自引:0,他引:2  
福建省农业经济增长存在不平衡性.正确认识农业经济增长区域差异,准确定位和减小差距是当前学术界乃至地方政府普遍关注的问题.本研究以县为单位,以福建省农业产业GDP增长率作为测度区域农业经济发展差异的变量指标,通过计算其极差、标准差及变异系数对福建省近10年来农业经济发展的总体差异和市县间差异进行动态时空序列的分析,发现总体差异整体上呈现缩小趋势,但中间也存在微小波动,市县间农业经济发展差异呈现不平衡的趋势.并通过县市农业产业GDP数据与图形相结合,分析了1999--2009年间福建省农业经济区域差异的空间分布特征,探讨其农业经济发展空间差异的原因,并对结果进行了讨论.  相似文献   

11.
This paper analyses the features and dynamic changes of the spatial layout of air transportation utilization among different provinces in China. It makes use of data for the airport throughput and socio-economic development of every province throughout the country in the years 2006 and 2015, and employs airport passenger and cargo throughput per capita and per unit of GDP as measures of regional air transportation utilization, which is significant for refining indicators of regional air transportation scale and comparing against them. It also analyzes the spatial differences of coupling between the regional air transportation utilization indicators and the key influencing factors on regional air transportation demand and utilization, which include per capita GDP, urbanization rate, and population density. Based on these key influencing factors, it establishes a multiple linear regression model to conduct forecasting of each province's future airport passenger and cargo throughput as well as throughput growth rates. The findings of the study are as follows:(1) Between 2006 and 2015, every province throughout the country showed a trend of year on year growth in their airport passenger and cargo throughput per capita. Throughput per capita grew fastest in Hebei, with a rise of 780%, and slowest in Beijing, with a rise of 38%. Throughput per capita was relatively high in western and southeastern coastal regions, and relatively low in northern and central regions. Airport passenger and cargo throughput per unit of GDP showed growth in provinces with relatively slow economic development, and showed negative growth in provinces with relatively rapid economic development. Throughput per unit of GDP grew fastest in Hebei, rising 265% between 2006 and 2015, and Hunan had the fastest negative growth, with a fall of 44% in the same period. Southwestern regions had relatively high throughput per unit of GDP, while in central, northern, and northeastern regions it was relatively low.(2) Strong correlation exists between airport passenger and cargo throughput per capita and per capita GDP, urbanization rate, and population density. Throughput per capita has positive correlation with per capita GDP and urbanization rate in all regions, and positive correlation with population density in most regions. Meanwhile, there is weak correlation between airport passenger and cargo throughput per unit of GDP and per capita GDP, urbanization rate, and population density, with positive correlation in some regions and negative correlation in others.(3) Between 2015 and 2025, it is estimated that all provinces experience a trend of rapid growth in their airport passenger and cargo throughput. Inner Mongolia and Hebei will see the fastest growth, rising221% and 155%, respectively, while Yunnan, Sichuan, and Hubei will see the slowest growth, with increases of 62%, 63%, and 65%, respectively.  相似文献   

12.
This paper analyses the features and dynamic changes of the spatial layout of air transportation utilization among different provinces in China. It makes use of data for the airport throughput and socio-economic development of every province throughout the country in the years 2006 and 2015, and employs airport passenger and cargo throughput per capita and per unit of GDP as measures of regional air transportation utilization, which is significant for refining indicators of regional air transportation scale and comparing against them. It also analyzes the spatial differences of coupling between the regional air transportation utilization indicators and the key influencing factors on regional air transportation demand and utilization, which include per capita GDP, urbanization rate, and population density. Based on these key influencing factors, it establishes a multiple linear regression model to conduct forecasting of each province’s future airport passenger and cargo throughput as well as throughput growth rates. The findings of the study are as follows: (1) Between 2006 and 2015, every province throughout the country showed a trend of year on year growth in their airport passenger and cargo throughput per capita. Throughput per capita grew fastest in Hebei, with a rise of 780%, and slowest in Beijing, with a rise of 38%. Throughput per capita was relatively high in western and southeastern coastal regions, and relatively low in northern and central regions. Airport passenger and cargo throughput per unit of GDP showed growth in provinces with relatively slow economic development, and showed negative growth in provinces with relatively rapid economic development. Throughput per unit of GDP grew fastest in Hebei, rising 265% between 2006 and 2015, and Hunan had the fastest negative growth, with a fall of 44% in the same period. Southwestern regions had relatively high throughput per unit of GDP, while in central, northern, and northeastern regions it was relatively low. (2) Strong correlation exists between airport passenger and cargo throughput per capita and per capita GDP, urbanization rate, and population density. Throughput per capita has positive correlation with per capita GDP and urbanization rate in all regions, and positive correlation with population density in most regions. Meanwhile, there is weak correlation between airport passenger and cargo throughput per unit of GDP and per capita GDP, urbanization rate, and population density, with positive correlation in some regions and negative correlation in others. (3) Between 2015 and 2025, it is estimated that all provinces experience a trend of rapid growth in their airport passenger and cargo throughput. Inner Mongolia and Hebei will see the fastest growth, rising 221% and 155%, respectively, while Yunnan, Sichuan, and Hubei will see the slowest growth, with increases of 62%, 63%, and 65%, respectively.  相似文献   

13.
Ecological land rent is the excess profit produced by resource scarcity, and is also an important indicator for measuring the social and economic effects of resource scarcity. This paper, by calculating the respective ecological land rents of all the provinces in China for the years 2002 and 2007, and with the assistance of the software programs ArcGIS and GeoDA, analyzes the spatial differentiation characteristics of ecological land rent; then, the influencing factors of ecological land rent differentiation among the provinces are examined using the methods of traditional regression and spatial correlation analysis. The following results were obtained: First, ecological land rent per unit of output in China shows stable distribution characteristics of being low in the southwestern and northeastern provinces, and high in Hebei and Henan provinces. There is also an increasing tendency in the central and western provinces, and a decreasing one in the eastern provinces. In general, the spatial distribution of ecological land rent per unit of output in China is quite scattered. Second, the total ecological land rent shows significant spatial aggregation characteristics, in particular the provinces in China possessing high total amounts of ecological land rent tend to be adjacent to one another, as do those with low total amounts, and the spatial difference characteristics of the eastern, central and western provinces are distinguished. The Bohai Rim, Yangtze River Delta and Pearl River Delta are shown to be highly clustering regions of total ecological land rent, while the western provinces have very low ecological land rent in terms of total amount. Third, population distribution, economic level and industrial structure were all important influencing factors influencing ecological land rent differentiation among provinces in China. Furthermore, population density, urbanization level, economic density, per capita consumption level and GDP per capita were all shown to be positively related to total ecological land rent, which indicates that spatial clustering exists between ecological land rent and these factors. However, there was also a negative correlation between ecological land rent and agricultural output percentage, indicating that spatial scattering exists between ecological land rent and agricultural output percentage.  相似文献   

14.
Liu  Shijun  Xue  Liang 《地理学报(英文版)》2021,31(3):423-436
Unbalanced economic growth is a ubiquitous phenomenon while investigating the regional development at a large spatial scale.Therefore,it is of great significance to analyze the spatio-temporal pattern of regional economic growth and the drivers to understand and facilitate the economic development of low development areas.Taking a county as a funda-mental study unit,we used the county-level per capita GDP data on the Loess Plateau from 2005 to 2017,and geographic variables such as slope,elevation,and population density to analyze the spatio-temporal differences and the driving factors of the county-level economic development in the Loess Plateau by employing both conventional and advanced quantitative methods including Exploratory Spatial Data Analysis(ESDA)and the geographic detector model.Our results suggested that:(1)The selected indicators,including absolute difference,the fluctuation of relative difference and total difference of economic development on the Loess Plateau,all show steady increasing trends,respectively.(2)There are 64.5%of the counties with economic development being below the average level of the whole Loss Pla-teau region.The relatively high developed counties are distributed in the"A"-shaped regions in Inner Mongolia Autonomous Region,Shaanxi,and Henan provinces,however,the low development counties are mainly located in the"V"-shaped regions in Gansu and Shanxi provinces.(3)GDP,investment in fixed assets and urbanization rate are the major driving factors influencing the regional economic development,and the combined effects are far greater than that of any individual factor.  相似文献   

15.
改革开放以来中国社会消费水平的区域格局变化   总被引:2,自引:0,他引:2  
管卫华  周静  陆玉麒 《地理研究》2012,31(2):234-244
通过对改革开放以来中国区域社会消费水平差异、格局变化和形成机制的研究,表明改革开放以来省区间的社会消费水平的差异总体呈现扩大趋势,但其中有一定的波动。通过突变点分析,认为改革开放以来中国区域社会消费水平差异变化可划分为1978~1987年和1987~2008年两个阶段。1978年中国社会消费水平的南北区域差异格局显著;1987年中国社会消费水平的区域差异既有南北地区的差异,又有东西部的差异;2008年中国社会消费水平总体呈现明显的东中西阶梯差异的格局。1978年形成中国社会消费水平区域格局主要受各地区城乡居民人均储蓄、人均财政支出和第一产业产值比例因素的影响;1987年形成中国社会消费水平区域格局主要受人均GDP、交通通达水平和第三产业产值比例因素的影响;2008年形成中国社会消费水平区域格局主要受人均GDP、城乡居民人均收入和城乡居民人均储蓄因素的影响。  相似文献   

16.
福建省农业经济增长存在不平衡性.正确认识农业经济增长区域差异,准确定位和减小差距是当前学术界乃至地方政府普遍关注的问题.本研究以县为单位,以福建省农业产业GDP增长率作为测度区域农业经济发展差异的变量指标,通过计算其极差、标准差及变异系数对福建省近10年来农业经济发展的总体差异和市县间差异进行动态时空序列的分析,发现总...  相似文献   

17.
中国社会保障与经济发展耦合的时空特征及驱动力分析   总被引:2,自引:0,他引:2  
李琼  赵阳  李松林  李湘玲 《地理研究》2020,39(6):1401-1417
利用耦合协调度模型、标准差椭圆、空间自相关等方法,研究2002—2017年中国社会保障与经济发展耦合协调的时空特征及驱动机制。结果表明:① 社会保障与经济发展之间相互适应、共同发展逐渐增强,但耦合协调度等级没有发生明显的跃迁,研究期内全国整体属于勉强耦合协调类范围,四大区域的耦合协调性呈东部地区>东北地区>中部地区>西部地区的态势。② 社会保障与经济发展的耦合协调度在东西和南北方向上收缩,向中部地区集聚的态势较明显;社会保障与经济发展的耦合协调整体上具有正的空间自相关性,局部空间自相关四种类型中,高高型集中分布在东部地区,低低型多在西部地区,高低型和低高型相对分散。③ 社会保障与经济发展的耦合协调在空间上的差异是内外部因素驱动的结果。内部驱动力中,城镇居民人均可支配收入、农村居民人均纯收入和人均GDP起到关键性作用;外部驱动力中,城镇化率和民营企业就业人数起了重要作用。  相似文献   

18.
东北三省城乡收入差距空间格局及其分异机制研究   总被引:6,自引:4,他引:2  
付占辉  梅林  刘艳军  郑茹敏 《地理科学》2019,39(9):1473-1483
借助多元逐步线性回归、GWR等模型方法,探讨1990年以来东北三省城乡收入差距空间格局、类型特征及其分异机制,最后提出城乡统筹可持续发展建议。结果表明: 1990年以来,东北三省城乡居民收入水平大幅提高,但大部分地区城镇居民可支配收入水平仍低于全国平均水平;城乡收入差距整体有所拉大,呈现出“中间高、两端低”的空间特征。 城乡收入差距空间分布格局受经济发展水平、工业拉动效应、服务业带动力和交通通达程度影响,其中经济发展水平对城乡收入差距由早期的正向拉大作用为主,逐步演变为负向抑制效应。 据此提出对策建议:深化改革开放,加快国有企业改革步伐,优化区域产业结构,提高服务业发展水平和比重,激发市场活力,破解制约区域经济发展的各种障碍;加快实施乡村振兴战略,促进乡村资源开发,开辟致富增收新路径。  相似文献   

19.
赛博空间地理分布研究   总被引:8,自引:3,他引:5  
卢鹤立  刘桂芳 《地理科学》2005,25(3):317-321
如何界定虚拟的赛博空间与地理实际(如人均国内生产总值和人口)之间的关系,是一个备受关注的问题。文章首先运用Lorenz曲线和吉尼系数研究了中国互联网地区域名的时空分布,然后运用指数定律对中国互联网地区域名数量、地区人均国内生产总值和地区人口数量进行了分析,得出的结论是:赛博空间分布是地区人均国内生产总值的反映,与地区人口分布联系不大。这证实了赛博空间与经济活动的紧密相关性。研究中还发现,赛博空间仍然处于高速增长期;最后给出了中国互联网增长的速度,以及到达成熟稳定时期所需的时间。  相似文献   

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