国有商业银行之间贷款定价模式效率差异化比较分析

贷款定价模式对于银行经营绩效存在着实质性的影响。国有商业银行贷款定价模式存在着差异性,从而带来贷款绩效的差异性。贷款绩效受到银行内部多种因素的影响。基于现实性的数据调查,借助于多元回归分析方法,经验性的研究揭示了国有商业银行之间定价模式效率的微观差异化路径,有利于国有银行之间的学习和借鉴,从而为国有商业银行完善贷款定价管理战略提供了策略性的指导。     

社会转型时期的权利意识与政治改革

权利与权力的关系对政治体系至关重要,由于传统的影响和经济社会的巨大进步,在转型期的中国社会,权利与权力出现了不和谐的现象。从本文权利与权力和谐的角度出发,本文对转型社会的政治改革提出了一些自己的认识。     

高速铣削碳纤维复合材料铣削温度实验分析

采用多因素正交实验法,在高速加工中心上,进行了高速铣削碳纤维复合材料的实验。基于概率统计和回归分析原理,对回归方程进行了显著性检验,并建立了碳纤维复合材料的切削温度经验模型。通过分析正交实验直观图,研究了切削参数对切削温度的影响。     

Adult mortality in Russia

This paper studies the determinants of Russian adult mortality controlling for both individual and household heterogeneity. We employ survival analysis and utilize 12 rounds of the Russian Longitudinal Monitoring Survey spanning a 14‐year period. Although confirming the crucial role of excessive alcohol consumption in shaping adult mortality risks in Russia, the results are original in several other respects. We find empirical support for the importance of relative status measured in non‐income terms in shaping mortality hazards. We find evidence of the influence of labour market behaviour, and sectoral and occupational mobility in particular, on longevity. The detrimental role of smoking to health is found to be comparable with the role of excess alcohol consumption, which is novel in the Russian context where the influence of smoking is typically downplayed in comparison with alcoholism. Finally, we find no micro evidence in support of the political economy view based on a positive correlation between low alcohol prices and high mortality rates found in regional‐level data.     

以信息素养培养为驱动的体育院校计算机教学模式探究

本课题在对西安体育学院和武汉体育学院学生调查问卷的回收数据进行计算机仿真处理的基础上,构建信息素养评价指标体系,并利用线性回归分析法计算得出每个指标的权重,为进一步分析学生的信息素养提供有力的实证。最后针对目前计算机教学中存在的问题,联系多年的教学实际分析和研究了以信息素养培养为驱动的体育院校计算机教学,提出基于评价体系的计算机教学新模式。     

Monetary Policy Reaction Functions of the TICKs: A Quantile Regression Approach

This study investigates how Taiwan, India, China, and Korea (TICKs) set interest rates in the context of policy reaction functions using a quantile-based approach. Our results indicate the tendency of a milder response to inflation at low interest rates and greater response at higher quantiles of interest rates, where inflation is presumably higher than desired for China and South Korea. While the response to inflation over the quantiles is significant for India, yet the Taylor principle is less likely to hold. For Taiwan, the results imply that another instrument is employed to deal with its official managed floating currency.     

Drivers of land change: Human-environment interactions and the Atlantic forest transition in the Paraíba Valley,Brazil

Human societies constantly interact with the environment through mutual feedbacks and adaptations. The aim of this research was to analyze human and environmental dimensions so as to understand how the dynamic processes of land use and land cover change are contributing to the increase of forest cover observed between 1985 and 2011 in the Paraíba Valley, Brazil. The forestry sector, based on eucalyptus plantations, is given particular attention due to its role in these change processes. Multi-layer perception neural network (MPNN) models were adopted to evaluate the influence of independent variables in the process of the forest transition. Based on the model's results, we conclude that the process is conditioned by a set of biophysical and socioeconomic variables that operate during different historical periods and in different landscape settings. The proximity of Atlantic forest remnants was influential in the forest transition for the three periods analyzed: 1985–1995, 1995–2005, and 2005–2011. In the first period of change (1985–1995), topography was most influential. Between the periods of 1995–2005 and 2005–2011, the proximity to eucalyptus plantations was an important factor, indicating a high probability of native forest recovery occurring in the vicinity of these monocultural areas. The forest transition tends to occur in areas less suitable for agriculture at the outset, but as these areas are replaced by forest cover, socioeconomic drivers such as farm credit and economic development play important roles in forest recovery.     

Neural networks in strategic marketing: exploring the possibilities

A review of the literature indicates that few studies have used artificial neural networks (ANNs) for data analysis in business and marketing research, even though there are many benefits to the use of ANNs. Therefore, this article discusses neural networks (NNs) that can be used in addition to or as an alternative to linear regression for data analysis in strategic marketing. The function and layout of NNs make them ideal for research dealing with nonlinear, incomplete, unspecified, or ‘fuzzy’ data and offer several advantages over linear regression. Unfortunately, in many marketing studies, the information being modeled is far from flawless and is often riddled with ambiguities linear regression is insufficient to accurately assess. NNs could be employed for great benefit by researchers analyzing the nonlinear, complex relationships in business data. The article discusses examples of types of studies that could be strengthened or expanded from neural network use.