基于随机前沿模型测算与分析湖南省服务业技术进步率

根据1998~2008年湖南省13个市州服务业投入与产出的面板数据建立随机前沿模型,并利用该模型对这13个市州的技术进步率进行测算和分析.结果显示,1998~2008年湖南省服务业的平均技术进步率为1.51%,1998~2003年服务业的技术进步率在高增长后出现小幅波动,2003年开始服务业的技术进步率逐渐递减,增长趋...     

南山区工业增长中技术进步作用的定量分析

技术进步在经济增长中的含量，反映了经济增长的质量状况，准确、科学地测算技术进步对经济增工的作用是一个复杂的问题，不仅描述生产活动中投入量与产出量之间技术关系的生产函数模式多种多样，模型参数的估算方法也不尽一致。     

山东省经济增长中技术进步因子分离测算研究

利用“余值法”对山东省经济增长中的技术进步因子进行了分离测算研究。实证分析结果表明,资本增长对山东省经济增长的贡献最大,技术进步对山东省经济增长的贡献位居第二,劳动增长对山东省经济增长的贡献最小。山东省经济增长的主要动力是要素投入增长,而技术进步对经济增长的贡献则相对较低,山东省经济增长是粗放型增长。这种粗放型的经济增长方式制约了山东省经济增长的质量与经济结构的优化。     

福州高新区技术进步与经济增长的灰色关联分析

技术进步是推动经济增长的动力,对高新区来说,技术进步对经济增长的这一作用更为明显。本文采用灰色关联分析,选择出与福州高新区经济增长关系最为密切的技术进步要素,并建立回归模型,定量地测算它们之间的关系,以期找出技术进步对福州高新区经济增长的一般性规律。     

经济增长中的技术进步模型分析

本文从经济增长理论出发,分析了技术进步对经济增长的重要作用及方式,同时详细介绍了衡量技术进步的五个量化指标,说明了各个指标的经济意义和计算方法。文中还介绍了三种技术进步测算模型的参数估计方法,并对应用广泛的回归法进行了详细分析。     

软硬技术进步对经济增长贡献的DEA分解模型及应用

根据DEA模型将影响经济增长的因素分解为3部分:软技术进步、硬技术进步和投入增长,并导出了它们的计算公式,同时进一步通过1991~2007年各省的投入产出数据确定出前沿生产函数后,测算出了软硬技术进步对天津市经济增长的贡献,其结果与实际情况相符.     

改革开放以后技术进步对我国经济贡献率的测算——基于C-D生产函数与“索洛剩余”方法

技术创新与技术进步是经济增长的关键因素。本文在柯布道格拉斯生产函数的基础上运用索洛剩余法测算1978年至2009年间的技术进步贡献率,进而分析在此期间技术进步对经济增长的重要作用。     

技术进步对河南省经济增长贡献的测算与分析

运用改进的科布-道格拉斯生产函数和索洛增长速度方程,对技术进步在河南省经济增长中的贡献进行了测算和分析.研究结果表明,资本投入在河南省经济增长中占据主要地位,其次是技术进步,劳动投入相对较小.     

技术进步对安徽省经济增长贡献率的实证分析

本文针对安徽省改革开放27年以来的经济状况,利用1978～2004的统计资料为样本数据,运用Solow总量增长方程进行测算分析,最后利用索洛余值法计算技术进步速度和技术进步对经济增长的贡献率.     

全要素生产率对云南省经济增长的影响分析

技术进步是经济增长的关键因素。文章利用古典经济增长模型,测算云南省改革开放以来TFP的变动,发现云南省TFP波动很大,呈现出大起大落的状态,技术进步呈滞后状态,进而,在估计TFP对经济增长的贡献率后认为云南省TFP对经济增长的作用不明显,促进技术进步提高整体技术水平是促进经济增长的长远选择。     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.