上海市居住空间分异的特征研究

本文介绍了居住空间分异的相关概念,详细分析了上海市的居住空间分布格局,并在此基础上,归纳概括了上海现阶段居住空间分异四个方面的特征。     

基于加权复杂网络的我国区域创新系统集聚特征研究

借鉴复杂网络理论,参考加权集聚系数,从资金、技术和知识3个维度分析我国区域创新系统的集聚特征。研究发现,我国区域创新系统的集聚模式体现出多元化特征,不同创新要素的集聚模式不同;区域创新系统集聚程度的空间差异明显,表现为空间正相关且以低低正相关为主,从局部特征看,极化现象与外溢现象并存。     

Sectoral trends and cycles in Germany

We examine the comovements between the output indexes of three German sectors (manufacturing, mining, and agriculture) and the three corresponding sectoral stock market indexes. It is found that data with and without seasonal adjustment give mixed results on the long-run interaction between the sectoral indexes. Compared with data that are non-seasonally adjusted, the adjusted data offer weaker evidence on the cointegration relationship between a) the sectoral output indexes, b) sectoral stock indexes, and c) individual pairs of real and financial indexes. On short-run comovement, seasonally adjusted data offer stronger evidence on the presence of common synchronized and non-synchronized cyclical components. First version received: March 2000/Final version received: September 2001 RID="*" ID="*"  We would like to thank Michael Dooley, Juergen von Hagen, Kenneth Kletzer, Peter Kugler, Jacky So and two anonymous referees, as well as the participants of the Fifth Global Finance Conference in Mexico City, the seminars at the University of California at Santa Cruz, University of Munich, and University of Basel for their helpful comments and suggestions. This research was supported by CGES at UC Berkeley and UC Santa Cruz faculty research funds.     

Investigating the accuracy of cross-learning time series forecasting methods

The M4 competition identified innovative forecasting methods, advancing the theory and practice of forecasting. One of the most promising innovations of M4 was the utilization of cross-learning approaches that allow models to learn from multiple series how to accurately predict individual ones. In this paper, we investigate the potential of cross-learning by developing various neural network models that adopt such an approach, and we compare their accuracy to that of traditional models that are trained in a series-by-series fashion. Our empirical evaluation, which is based on the M4 monthly data, confirms that cross-learning is a promising alternative to traditional forecasting, at least when appropriate strategies for extracting information from large, diverse time series data sets are considered. Ways of combining traditional with cross-learning methods are also examined in order to initiate further research in the field.     

区域特色竞争战略的理论解读

特色竟争战略立足于培育和提升区域特色产业,其内在要求是以特色形成低价格优势,差异化优势,以各具特色实现区域协调发展。以产品低成本为取向的比较优势和以产品差异化为取向的竟争优势共同构成特色竟争的理论支撑。两者是统一、互补的。因为差异化优势与低成本优势是同一问题———竟争力的两个侧面。决定竟争优势的因素也是创造比较优势的重要条件。比较优势理论和竟争优势理论分别适用于解读要素禀赋不同地区和相同地区间的分工与贸易。     

军民融合"隐形冠军"企业创新特征研究

中小企业一般专注于某一细分行业产品研发、生产和经营,具有较高市场份额但社会知名度较低。当前,我国军民融合战略由初步融合进入深度融合加速阶段,“隐形冠军”企业成为一支不可忽视的力量。分析军民融合“隐形冠军”企业内涵、发展现状与需求发现,军民融合“隐形冠军”企业具有管理创新、技术创新、融资创新、市场创新、价值链创新5个维度组成的创新特征,并结合案例——军民融合“隐形冠军”企业高德红外进行剖析,认为提升军民融合“隐形冠军”企业创新能力,政府应从加快军民融合创新体系建设、加强知识产权保护以及建立健全金融财政支撑体系等方面营造良好的制度政策环境,企业应从培育企业研发人才队伍、构筑创新型企业文化及抓住发展机遇等方面培育其核心竞争力。     

表面组装功率驱动模块

本文介绍利用表面组装技术(SMT)和表面组装元件(SMD)设计制作的功率驱动模块。叙述了按电路要求而进行的工艺原理设计,开展了几项工艺试验。     

响应面法优化超声波辅助提取五味子木脂素研究

本研究采用响应面设计和分析方法,优化超声波辅助提取五味子木脂素的工艺。修正超声波提取五味子木脂素的最佳条件为乙醇浓度95%、液固比16:1、超声时间25.5min,五味子木脂素浓度5.16%。     

采用铜导电油墨在改性柔性基材上实现喷墨印刷

本文采用铜导电油墨在聚酰亚胺（PI）薄膜上进行喷墨印刷形成铜导电层,并研究基于铜络合物的铜导电油墨与柔性基材的相关性。本研究首先采用氧等离子体对PI薄膜表面进行改性,以测试接触角来表征改性前后薄膜表面性能的变化。通过优化等离子体反应参数使接触角降低。再利用喷墨印刷在改性前后PI薄膜上沉积铜导线,在200℃氢气环境下进行热处理,印制铜线发生烧结而收缩。采用光学显微镜（OM）、场发射扫描电子显微镜（FESEM）、X射线衍射（XRD）、非接触式三维轮廓仪和四点探针分析铜导线形状、微观结构、晶体结构及电导率。结果表明,经氧等离子体改性的PI基材上可成功沉积具有纯铜相的连续铜导线且具有良好的烧结微观结构,同时确定了铜导电油墨与基材表面性能的相关性。     

舞弊治理：基于上市公司财务舞弊特征的分析

选取2003～2007年度5645家沪深两地上市公司为样本,首先对其中209家舞弊公司财务舞弊的影响因素做统计分析,明晰上市公司财务舞弊的特征;然后,根据舞弊公司不同特征进一步实证检验,得出大规模事务所的选择、股权集中度、公司规模与财务舞弊负相关,独立董事比例与财务舞弊成"U"型关系,但没有发现代表财务状况指标净资产收益率的显著性影响,究其原因,发现舞弊公司存在虚增利润以外的其他更多隐性盈余操纵手段.