基于钻石模型的福建省生态农业竞争力研究

本文尝试运用钻石模型剖析福建省生态农业的竞争力,并在此基础上结合灰色关联度分析法对福建省与其他华东诸省生态农业的竞争力进行比较,研究结果显示：相对而言,福建省生态农业的总体竞争力水平较低,仅在高级生产要素及机遇方面具有一定优势,我们应从优化生产要素、拉动需求和拓宽政策导向等方面来提升福建省生态农业竞争力。     

Learning of cycles and sunspot equilibria by Genetic Algorithms

We analyze the learning behaviour of a Simple Genetic Algorithm in an overlapping generations model with one consumption good and fiat money. It is shown by simulations, that in cases where periodic equilibria exist the equilibrium of period two is learned by a Genetic Algorithm and not the monetary steady state. We further show that proper coding leads to convergence of the GA towards the sunspot equilibrium. If individuals who believe in the impact of sunspots are brought together with individuals who ignore the sunspots, the sunspot believes will in most cases drive the other individuals out of the population.     

对蒙代尔-弗莱明模型的修正--中国经济增长对人民币汇率作用机制

蒙代尔-弗菜明模型认为，经济增长会使一国经常账户恶化从而导致本国货币贬值，中国自1994年以来经济快速增长，而经常账户却是持续顺差，在利率不断下降条件下，资金大量流入，人民币汇率稳中有升，外汇储备大幅度增加，这些显然有悖于蒙代尔-弗菜明模型。本文认为，购买力平价理论更符合中国现实，并给出了购买力平价理论动态表述，然后对传统的汇率货币模型进行修正，进一步分析经济增长与汇率之间关系。最后本文对蒙代尔-弗莱明模型国际收支平衡线进行修正，并运用修正后的M-F模型分析在开放经济条件下的财政政策与货币政策效果。     

财务会计专业大学生创新能力模糊评价模型研究

创新教育是现代教育的核心,正确评价学生的创新能力是检验教育成果,发现并改进教育薄弱环节,建立创新教育模式的基本要求。本文运用模糊评价的方法,以财务会计专业大学生为研究对象,设计创新能力评价指标体系,探讨如何通过建立模糊评价模型,综合评价学生的创新能力,并提出了对于评价结果的分析思路。     

基于分组的异方差检验和两阶段估计

本文提出了一种基于分组的异方差检验法，并给出了存在异方差时的两阶段估计。     

Thermodynamics and process analysis for future economic scenarios

Economists are increasingly interested in forecasting future costs and benefits of policies for dealing with materials/energy fluxes, polluting emissions and environmental impacts on various scales, from sectoral to global. Computable general equilibrium (CGE) models are currently popular because they project demand and industrial structure into the future, along an equilibrium path. But they are applicable only to the extent that structural changes occur in or near equilibrium, independent of radical technological (or social) change. The alternative tool for analyzing economic implications of scenario assumptions is to use Leontief-type Input-Output (I-O) models. I-O models are unable to endogenize structural shifts (changing I-O coefficients). However, this can be a virtue when considering radical rather than incremental shifts. Postulated I-O tables can be used independently to check the internal consistency of scenarios. Or I-O models can be used to generate scenarios by linking them to econometric macro-drivers (which can, in principle, be CGE models). Explicit process analysis can be integrated, in principle, with I-O models. This hybrid scheme provides a natural means of satisfying physical constraints, especially the first and second laws of thermodynamics. This is important, to avoid constructing scenarios based on physically impossible processes. Process analysis is really the only available tool for constructing physically plausible alternative future I-O tables, and generating materials/energy and waste emissions coefficients. Explicit process analysis also helps avoid several problems characteristic of pure CGE or I-O models, viz. (1) aggregation errors (2) inability to handle arbitrary combinations of co-product and co-input relationships and (3) inability to reflect certain non-linearities such as internal feedback loops.     

环境库兹涅茨曲线假说及其在中国的检验

经济与环境协调发展是我国经济发展中的重大课题。本文从环境库兹涅茨曲线假说出发,利用中国各个省市区1989～2004年数据建立面板数据模型,运用固定效应模型和随机效应模型对其进行估计,以此剖析我国经济增长与环境污染水平的演变规律。结果表明,环境库兹涅茨曲线假说在我国并不成立。因此,我国不能盲目重复发达国家"先污染,后治理"的传统模式,而应该走环境与经济持续协调发展的道路。     

Seasonal decomposition and forecasting of telecommunication data: A comparative case study

In this paper, forecasting models for the monthly outgoing telephone calls in a University Campus are presented. The data have been separated in the categories of international and national calls as well as calls to mobile phones. The total number of calls has also been analyzed. Three different methods, namely the Seasonal Decomposition, Exponential Smoothing Method and SARIMA Method, have been used. Forecasts with 95% confidence intervals were calculated for each method and compared with the actual data. The outcome of this work can be used to predict future demands for the telecommunications network of the University.     

人民币升值的宏观经济影响评价

本文通过建立中国可计算一般均衡模型定量研究了人民币升值对中国经济的影响。结果表明人民币升值对中国实际GDP增长的影响不是线性变化的,对进出口影响的模拟结果与直观判断一致;人民币升值对就业不利,但下降幅度也是随着升值幅度的上升而提高。升值对城乡居民消费的影响不同,会加大城乡差距。人民币升值对不同部门的影响不同,受冲击较大的是劳动密集型的制造业。我们的基本判断是,人民币的大幅度升值对中国经济整体不利,而小幅度的升值的影响甚微。因此,既要避免大幅度的升值,又可适当地扩大汇率的浮动范围,缓解人民币升值压力。     

资本流动性:基于中国及其他亚洲新兴国家的比较分析

衡量发展中国家资本流动性的方法有总量规模法、储蓄—投资相关法、Edwards模型以及货币自主性检验法等四种方法。本文主要运用前三种方法测度了中国改革开放以来资本的流动性,并用前两种方法比较了中国和其他亚洲新兴国家资本流动性的差异。实证结果表明,所有亚洲新兴国家金融市场处于一种开放状态,并且在所有亚洲新兴国家中,中国的资本流动性是最低的。通过运用Kalman滤波技术对中国的资本流动性进行动态分析,并没有发现1997年亚洲金融危机后中国采取更加严格的资本管制对资本流动性产生影响的证据。实证研究发现,在1997年亚洲金融危机爆发前,中国的资本流动性远低于其他亚洲新兴国家。对于发展中国家资本市场的开放来说,采取渐进式改革而不是激进式改革可能更为明智、更加合理。