排序方式： 共有2条查询结果，搜索用时 0 毫秒
1
1.
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
2.
区域科技资源配置能力的时空分异研究 总被引：1，自引：0，他引：1
科技资源作为第一资源,如何对其进行优化配置是各地区科技管理和科技政策工作的核心问题。根据科技资源的内涵与结构,利用1999-2011年中国31个省市区科技资源的基础数据,在构建区域科技资源配置能力评价指标体系的基础上,科学评价各地区的科技资源配置能力,并利用基尼系数与锡尔指数研究了各地区科技资源配置能力的差异;然后进一步运用探索性空间数据分析（ESDA）,直观的反映各个省区科技资源配置能力的的空间集聚特征、集聚类型和显著性水平。结果表明,虽然近年来我国区域科技资源整体配置能力都有了较大提升,但是其区域分布的空间格局并没有根本性的改变;另外,中国科技资源配置能力的空间差异与区域发展的内部差异、区间差异有很大的关系,东部地区的地带内差异是构成区域差异的主要因素。 相似文献
1