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1.
影响上海市地价空间分布的区位因子分析   总被引:28,自引:5,他引:28  
杜德斌  徐建刚 《地理学报》1997,52(5):403-411
本文采用GIS技术和多元线性回归分析方法,以土地批租地块为样本,分析上海市地价与城市区位因子的线性关系。回归分析结果表明;南京路,市中心和淮海路是影响上海市寺价空间差异的主要区位因子,外滩,次级商业中心和交通结节点对地价的影响很小,表明上海市地价的空间分布具有很高的向心性。  相似文献   
2.
In today’s world, the innovation of science and technology has become the key support for improving comprehensive national strength and changing the mode of social production and lifestyle. The country that possesses world-class scientific and technological innovation cities maximizes the attraction of global innovation factors and wins a strategic initiative in international competition. Based on the urban zip code geodatabase, an evaluation system of urban innovation with the perspective of innovation outputs, and the spatial evolutionary mode, concerning the structure of innovation space of Shanghai and Beijing from 1991 to 2014, was developed. The results of the research indicated that the zip code geodatabase provided a new perspective for studying the evolving spatial structure of urban innovation. The resulting evaluation of the spatial structure of urban innovation using the urban zip code geodatabase established by connecting random edge points, was relatively effective. The study illustrates the value of this methodology. During the study period, the spatial structure of innovation of Shanghai and Beijing demonstrated many common features: with the increase in urban space units participating in innovation year by year, the overall gap of regional innovation outputs has narrowed, and the trend towards spatial agglomeration has strengthened. The evolving spatial structure of innovation of Shanghai and Beijing demonstrated differences between the common features during the 25 years as well: in the trend towards the suburbanization of innovation resources, the spatial structure of innovation of Shanghai evolved from a single-core to a multi-core structure. A radiation effect related to traffic arteries as spatial diffusion corridors was prominent. Accordingly, a spatial correlation effect of its innovation outputs also indicated a hollowness in the city center; the spatial structure of innovation of Beijing had a single-core oriented structure all the way. Together with the tendency for innovation resources to be agglomerated in the city center, the spatial correlation effect of innovation outputs reflected the characteristics of the evolutionary feature where “rural area encircles cities”. The innovation spatial structure of Shanghai and Beijing have intrinsic consistency with the spatial structure of their respective regions (Yangtze River Delta urban agglomeration and Beijing-Tianjin-Hebei metropolitan region), which suggested that the principle of proportional and disproportional distribution of a city-scale pattern of technological and innovational activities is closely related to its regional innovation pattern.  相似文献   
3.
知识产权贸易下的全球地缘科技格局及其演化   总被引:4,自引:3,他引:1  
段德忠  杜德斌  谌颖 《地理研究》2019,38(9):2115-2128
中国崛起,关键在于科技崛起。在当前技术针对与封锁的国际环境中,探讨建构以中国为核心的全球创新网络和科学制定中国未来科技战略是当前创新地理学和地缘政治学交叉之下研究的重点课题,而明晰全球地缘科技格局及其演变过程则是基础所在。本文基于2001—2015年全球国家(地区)间的知识产权进出口数据,在研究全球知识产权贸易格局和网络结构的基础上,探讨了全球地缘科技体系的时空演化特征,得出以下结论:① 全球知识产权贸易网络两极分化显著,是一典型的小世界网络,以美国为核心的金字塔结构不断夯实;② 基于敏感性和脆弱性模型阐释的全球知识产权贸易的非对称依赖性进一步验证了美国是全球地缘科技格局的核心,且其核心地位不断巩固和加强。  相似文献   
4.
胡曙虹  杜德斌  范蓓蕾 《地理研究》2019,38(7):1733-1748
基于中国企业海外R&D投资数据和零断尾负二项回归分析方法,探讨了1998—2015年中国企业R&D国际化的时空格局特征,并从东道国角度分析影响其区位选择的主要因素。结果表明:研究期内中国新建海外R&D机构数量快速扩张;海外R&D投资区域分布广泛,呈现分散和集聚并存的特征;以华为为例分析了典型中国企业海外R&D投资的空间布局特征,认为目前华为海外R&D投资呈现集中布局在欧洲,零散分布在亚洲、美洲、非洲的空间特征,主要是由其以全球技术升级和满足多样化的市场需求等R&D国际化的战略动机所决定。回归分析结果表明,中国企业对发达国家和发展中国家进行R&D投资的影响因素有共同点但也存在一定的差异:① 现阶段东道国的R&D需求不是影响中国企业对其进行R&D投资的主要因素;② 代表中国与东道国经济往来密切程度的关联要素是影响中国企业R&D投资的重要决策因素;③ 发达国家吸引中国企业对其进行R&D投资主要是因其创新能力强、R&D资源数量多,而政策及制度供给是影响中国企业对发展中国家进行R&D投资的主要因素;④ 地理距离对中国企业R&D“走出去”的阻碍作用主要体现在对发展中国家的R&D投资中。  相似文献   
5.
The Dynamical-microphysical-electrical Processes in Severe Thunderstorms and Lightning Hazards(STORM973)project conducted coordinated comprehensive field observations of thunderstorms in the Beijing metropolitan region(BMR)during the warm season from 2014 to 2018.The aim of the project was to understand how dynamical,microphysical and electrical processes interact in severe thunderstorms in the BMR,and how to assimilate lightning data in numerical weather prediction models to improve severe thunderstorm forecasts.The platforms used in the field campaign included the Beijing Lightning Network(BLNET,consisting of 16 stations),2 X-band dual linear polarimetric Doppler radars,and 4 laser raindrop spectrometers.The collaboration also made use of the China Meteorological Administration’s mesoscale meteorological observation network in the Beijing-Tianjin-Hebei region.Although diverse thunderstorm types were documented,it was found that squall lines and multicell storms were the two major categories of severe thunderstorms with frequent lightning activity and extreme rainfall or unexpected local short-duration heavy rainfall resulting in inundations in the central urban area,influenced by the terrain and environmental conditions.The flash density maximums were found in eastern Changping District,central and eastern Shunyi District,and the central urban area of Beijing,suggesting that the urban heat island effect has a crucial role in the intensification of thunderstorms over Beijing.In addition,the flash rate associated with super thunderstorms can reach hundreds of flashes per minute in the central city regions.The super(5%of the total),strong(35%),and weak(60%)thunderstorms contributed about 37%,56%,and 7%to the total flashes in the BMR,respectively.Owing to the close connection between lightning activity and the thermodynamic and microphysical characteristics of the thunderstorms,the lightning flash rate can be used as an indicator of severe weather events,such as hail and short-duration heavy rainfall.Lightning data can also be assimilated into numerical weather prediction models to help improve the forecasting of severe convection and precipitation at the cloud-resolved scale,through adjusting or correcting the thermodynamic and microphysical parameters of the model.  相似文献   
6.
Zircon U-Pb ages and geochemical data of volcanic rocks in the Suifenhe Formation in eastern Heilongjiang Province are reported, and their petrogenesis is discussed in this paper. The Suifenhe Formation mainly consists of basalt, andesite, and dacite. Zircon from andesite and dacite are euhedral in shape and show typical oscillatory zoning with high Th/U ratios (0.18-0.57), implying its magmatic origin. Zircon U-Pb dating results by laser ablation inductively coupled plasma mass spectrometer (LA-ICP-MS) indicate that the 206Pb/238U ages of zircons from andesite range within 105-106 Ma, yielding a weighted mean age of 105.5±0.8 Ma (n=14), and that 206Pb/238U ages of zircons from dacite are between 90-96 Ma, yielding a weighted mean age of 93.2±1.3 Ma (n =13). The volcanic rocks from the Suifenhe Formation are subalkaline series and show a calc-alkaline evolutionary trend with SiO2 content of 47.69%-65.47%, MgO contents of 1.42%-6.80% (Mg#= 45-53), and Na2O/K2O ratios of 1.83-3.63. They are characterized by enrichment in large ion lithophile elements (LILE) and light-rare-earth elements (LREE), depletion in heavy rare earth elements (HREE) and high field strength elements (HFSE) (e.g., Nb, Ta, Ti), and low initial 87Sr/86Sr ratios (0.7041-0.7057) and positiveεNd(t) values (039-4.08), implying that they could be derived from a depleted magma source. Taken together, these results suggest that the primary magma of the volcanic rocks might originate from partial melting of the mantle wedge metasomatized by fluids derived from subducted slab under a tectonic setting of active continental margin.  相似文献   
7.
傅德彬 《吉林地质》1990,9(3):50-60
通过对新安含镍基性岩侵入体的岩石学、岩石化学与地球化学研究,认为它与赤柏松含镍基性岩体是同源、同期、产于不同部位的孪生岩体,一旦有暗色橄榄辉长苏长岩相大量出现,则具找矿远景。  相似文献   
8.
90年代是战后以来加拿大移民的高峰时期,本文总结了这一时期加拿大移民来源地和居住分布的新特点。其突出表现是:亚洲已成为加拿大最大的移民来源地,其中来自香港、中国大陆和台湾的华人成为最大的移民群体;移民选择大城市,尤其是多伦多、温哥华和蒙特利尔三大都市区作为定居地的倾向进一步加强。  相似文献   
9.
According to the connotation and structure of science and technology resources and some relevant data of more than 286 cities at prefecture level and above during 2001–2010, using modified method—Data Envelopment Analysis(DEA), science and technology(ST) resource allocation efficiency of different cities in different periods has been figured out, which, uncovers the distributional difference and change law of ST resource allocation efficiency from the time-space dimension. Based on that, this paper has analyzed and discussed the spatial distribution pattern and evolution trend of ST resource allocation efficiency in different cities by virtue of the Exploratory Spatial Data Analysis(ESDA). It turned out that:(1) the average of ST resource allocation efficiency in cities at prefecture level and above has always stayed at low levels, moreover, with repeated fluctuations between high and low, which shows a decreasing trend year by year. Besides, the gap between the East and the West is widening.(2) The asymmetrical distribution of ST resource allocation efficiency presents a spatial pattern of successively decreasing from Eastern China, Central China to Western China. The cities whose ST resource allocation efficiency are at higher level and high level take on a cluster distribution, which fits well with the 23 forming urban agglomerations in China.(3) The coupling degree between ST resource allocation efficiency and economic environment assumes a certain positive correlation, but not completely the same. The differentiation of ST resource allocation efficiency is common in regional development, whose existence and evolution are directly or indirectly influenced by and regarded as the reflection of many elements, such as geographical location, the natural endowment and environment of ST resources and so on.(4) In the perspective of the evolution of spatial structure, ST resource allocation efficiency of the cities at prefecture level and above shows a notable spatial autocorrelation, which in every period presents a positive correlation. The spatial distribution of ST resource allocation efficiency in neighboring cities seems to be similar in group, which tends to escalate stepwise. Meanwhile, the whole differentiation of geographical space has a diminishing tendency.(5) Viewed from LISA agglomeration map ofST resource allocation efficiency in different periods, four agglomeration types have changed differently in spatial location and the range of spatial agglomeration. And the continuity of ST resource allocation efficiency in geographical space is gradually increasing.  相似文献   
10.
中国稀土对外贸易格局演化及影响因素   总被引:1,自引:0,他引:1  
从中美贸易摩擦到“科技冷战”以来,被誉为“高科技命脉”的稀土,日益成为国际博弈的前沿领域。在此背景下,厘清中国稀土进出口贸易流动态势、把握中国在国际稀土市场中的地位变动,对中国资源安全格局的整体优化和科技自立自强的长久维持具有一定意义。本文基于2008—2018年中国稀土进出口贸易数据、相关国家社会经济政治指标及联合国投票数据,借助相互依存指数、地缘亲和度模型、GIS空间技术以及负二项面板回归等手段,探讨了中国稀土产品对外贸易格局的演化及影响因素。研究发现:① 中国稀土贸易存在较大波动,出口额远大于进口额,整体呈现“升—降—升”发展态势。② 中国稀土进口市场高度集中且路径依赖增强,出口市场逐步多元且路径依赖减弱。中国主要出口具有较高附加值的中、下游产品,进口具有较低附加值的上游矿物类产品。③ 中国在全球稀土贸易相互依存格局中的优势地位整体强化。中国与多数友好型国家间的相互依存关系呈现优化态势,但与美国、加拿大、澳大利亚等分歧型国家之间的相互依存关系呈现恶化态势。④ 国家主体属性、国家间邻近性以及中国的贸易政策、贸易环境等对中国稀土对外贸易产生重要影响。  相似文献   
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