保险业发展与宏观经济运行相互关系的实证研究

保险业发展和宏观经济运行之间存在动态关系。文章通过建立VAR模型对我国保费收入和消费、投资、净出口之间的相互关系进行实证研究,对内生变量进行格兰杰因果关系检验、脉冲响应函数分析和方差分解,考察了4个内生变量的相互关系和相互影响程度。研究结果表明:我国宏观经济运行对保险业发展没有显著影响;保险业发展对投资、消费和净出口的影响作用在短期、中期和长期是不一致的;保费收入的方差贡献率始终大于投资、消费和净出口的方差贡献率。     

我国企业青年员工培训方案优化设计研究

设计科学合理的培训方案,是切实做好培训工作的难点所在。为解决这一问题,可以将能力素质模型运用于我国企业青年员工培训方案设计,以能力素质模型为核心制定适应企业现状的培训主题和课程,以提高方案的有效性。     

连锁品牌空间定位模型及经济分析

本文通过建立引入连锁品牌空间定位系数、价格、选择成本的需求函数,并以此模型解释了连锁品牌空间定位的决策是通过空间定位系数和品牌信用度共同作用而实现的。同时对连锁品牌空间定位问题分为同一连锁品牌不同商圈、同一连锁品牌同一商圈、不同连锁品牌同一商圈这三种情况进行了解释分析,并对一些现实进行了论证。在理论分析的基础上,本文提出了连锁品牌空间定位的空间定位系数—品牌信用度二维模型,并分别从选择高空间定位系数商圈和提高品牌信用度建设方面为现实中的连锁品牌提供了相应的策略。     

产业结构演化的影响因素分析及应用

文章从投入要素、技术因素、国内外经济环境及产业政策角度,对我国大陆31个省市2000—2008年相关数据进行统计分析,应用Eeviews6.0建立单方程平行数据模型。实证结果与目前国内学者研究结果不同,即国内学者研究普遍认为产业结构的影响因素不存在差异性,但文章实证结果表明产业结构演化的影响因素存在区域差异及时间差异,即不同区域产业结构的影响因素不同,同一区域的不同时段产业结构的影响因素也存在差异。     

基于EGARCH模型和Bootstrap方法的在险价值度量

针对孤立使用传统的历史模拟法及GARCH类模型进行风险分析的不足,把EGARCH参数模型与Boostrap非参数方法结合起来,给出了基于EGARCH模型和Bootstrap的VaR测度的半参数方法。实证结果表明,基于EGARCH模型和Bootstrap的VaR度量方法比传统的历史模拟法计算的效果更好。     

我国货币政策汇率传导机制有效性的实证研究

本文应用当代主流的计量经济学的研究方法,通过对2002年以来相关的经济金融月度数据的实证分析,探究了我国货币政策传导渠道之汇率传导渠道的运作机制以及传导效果。写作本文的目的不仅在于对汇率传导渠道的有效性得出一个基本判断,而且想借此判断在深入分析的基础上,不断完善我国货币政策传导的微观金融环境,期望进一步推动我国的金融市场建设和金融体制改革。     

基于VAR模型的深圳保险发展与宏观经济增长关联机制研究

深圳特区建立30年以来,随着宏观经济的迅猛发展,深圳保险业也不断发展壮大,创造了诸多全国第一。本文通过建立VAR模型,借助脉冲响应函数、方差分解方法,揭示了深圳保险发展与宏观经济之间的关联机制,分析了金融危机对深圳保险业的影响路径,并在此基础上形成了一些结论和建议。     

农村金融发展对农村经济和农民收入的影响研究——基于VEC模型的实证分析

本文基于2001—2009年的季度数据,通过构建一个向量误差修正模型,实证分析了中国农村金融发展对农村经济增长以及农民收入增加的影响。结论表明,中国农村金融发展对农民收入增加产生了显著的影响,同时中国农村金融发展、农村经济增长以及农民收入增加之间存在长期的均衡关系。     

Accommodating spatial correlation across choice alternatives in discrete choice models: an application to modeling residential location choice behavior

This paper presents a modeling methodology capable of accounting for spatial correlation across choice alternatives in discrete choice modeling applications. Many location choice (e.g., residential location, workplace location, destination location) modeling contexts involve choice sets where alternatives are spatially correlated with one another due to unobserved factors. In the presence of such spatial correlation, traditional discrete choice modeling methods that are often based on the assumption of independence among choice alternatives are not appropriate. In this paper, a Generalized Spatially Correlated Logit (GSCL) model that allows one to represent the degree of spatial correlation as a function of a multi-dimensional vector of attributes characterizing each pair of location choice alternatives is formulated and presented. The formulation of the GSCL model allows one to accommodate alternative correlation mechanisms rather than pre-imposing restrictive correlation assumptions on the location choice alternatives. The model is applied to the analysis of residential location choice behavior using a sample of households drawn from the 2000 San Francisco Bay Area Travel Survey (BATS) data set. Model estimation results obtained from the GSCL are compared against those obtained using the standard multinomial logit (MNL) model and the spatially correlated logit (SCL) model where only correlations across neighboring (or adjacent) alternatives are accommodated. Model findings suggest that there is significant spatial correlation across alternatives that do not share a common boundary, and that the GSCL offers the ability to more accurately capture spatial location choice behavior.     

Analyzing air cargo flows of international routes: an empirical study of Taiwan Taoyuan International Airport

Air cargo demand is an important aspect of the operation and planning of private and public agencies responsible for airports. While most existing studies in this field include only geo-economic characteristics of airports and their hinterlands as explanatory variables, this study develops a gravity model of air cargo flows by trying to incorporate more factors that might influence international air cargo flows of an airport. The model is developed based on the panel data of air cargo services on scheduled routes at Taiwan Taoyuan International Airport during the years 2004-2007. The results indicate that population, air freight rate and three dummy variables, including the regional economic bloc of the “Chinese Circle”(an informal partnership between Hong Kong, Macao, Taiwan and mainland China), the Open Sky Agreements and long established colonial links, are key determinants of international air cargo flows from/to Taiwan. These results suggest a wider array of factors needs to be considered in policy.