南宁市粮食生产影响因素分析

本文以南宁市为例,运用灰色关联度和生产函数,分析了1997-2003年粮食生产的影响因素及其贡献率。粮食产量灰色关联度分析作出关联因子排序:粮食单产>耕地面积>粮食作物播种面积>化肥施用量>有效灌溉面积>农村用电量>农业机械总动力>农药施用量,表明粮食单产、耕地面积与粮食作物播种面积对粮食总产的影响最大,从投入角度分析粮食总产与化肥施用量、有效灌溉面积关联度大;基于生产函数的贡献率分析表明:化肥施用量、农业科技进步、粮食播种面积、农业机械总动力、有效灌溉面积、农业劳动力对粮食增长的贡献率分别为40.08%、27.62%、12.12%、10.78%、8.91%、0.49%,说明7年来粮食增长主要依靠化肥投入、农业科技进步,农业劳动力对粮食产量增加作用微小。     

对G-Paillier加密体制的改进与分析

通过适当地选择参数改进了推广的Paillier(G-Paillier)加密体制,减少运算量,提高了加密体制的效率;证明了改进后加密体制的安全性(单向性、语意安全性)与G-Paillier加密体制的安全性是等价的。     

工业企业经济效益综合评价与分析

利用SPSS软件,对我国31个省、直辖市的大中型工业企业的总资产贡献率、成本费用利润率、资本保值增值率、流动资产周转次数、全员劳动生产率、产品销售率、资产负债率、总资产周转率、净资产收益率、销售利润率等十个经济效益指标进行了因子分析,并将这十个指标归结为盈利、销售、运营、发展等多个因子。最后,根据每个因子得分情况将所有地区归为六类,进而做出综合评价。     

影响服务业国际竞争力的因素分析

目前国内服务经济理论界对影响服务业国际竞争力因素的分析,大多用波特的国家竞争优势理论进行解释,同时应用于服务贸易研究。并且大多是定性的分析,并没有从实证的角度进行验证,本文从实证角度对影响服务业国际竞争力的因素进行探析,分析了影响中国服务业竞争力的主要因素,并提出提高中国服务业竞争力的若干政策建议。     

Factor analysis for ranked data with application to a job selection attitude survey

Summary.  Factor analysis is a powerful tool to identify the common characteristics among a set of variables that are measured on a continuous scale. In the context of factor analysis for non-continuous-type data, most applications are restricted to item response data only. We extend the factor model to accommodate ranked data. The Monte Carlo expectation–maximization algorithm is used for parameter estimation at which the E-step is implemented via the Gibbs sampler. An analysis based on both complete and incomplete ranked data (e.g. rank the top q out of k items) is considered. Estimation of the factor scores is also discussed. The method proposed is applied to analyse a set of incomplete ranked data that were obtained from a survey that was carried out in GuangZhou, a major city in mainland China, to investigate the factors affecting people's attitude towards choosing jobs.     

新疆兵团现代物流业发展探析

现代物流作为一种先进的组织方式和管理技术,其发展程度已成为衡量一个国家或地区现代化程度的重要标志。该文从新疆兵团物流业发展现状、面临的机遇和优势等方面对兵团工业化进程中的现代物流业进行了分析,并提出兵团发展现代物流业的对策。     

中国传统文化中的"尚三"理念对巴金《家·春·秋》创作的影响

巴金自称是受外国文学影响最多的作家之一,但是中国传统文化对他的创作在无形中的影响恐怕连他自己都没有意识到,在巴金的小说尤其是在长篇小说《家.春.秋》创作中就处处可见"尚三"传统的影响,形成了几种独特的创作现象:三事话语,三复情节,三变情节,三极建构,三而后成,传统文化与外来文化的相互渗透融合,是巴金能够成为文学大师的文化基础。     

Towards Enhancement of the Economy of a Thermal Power Generating System through Prediction of Plant Efficiency

The plant ‘Heat Rate’ (HR) is a measure of overall efficiency of a thermal power generating system. It depends on a large number of factors, some of which are non-measurable, while data relating to others are seldom available and recorded. However, coal quality (expressed in terms of ‘effective heat value’ (EHV) as kcal/kg) transpires to be one of the important factors that influences HR values and data on EHV are available in any thermal power generating system. In the present work, we propose a prediction interval of the HR values on the basis of only EHV, keeping in mind that coal quality is one of the important (but not the only) factors that have a pronounced effect on the combustion process and hence on HR. The underlying theory borrows the idea of providing simultaneous confidence interval (SCI) to the coefficients of a p-th p(≥1) order autoregressive model (AR(p)). The theory has been substantiated with the help of real life data from a power utility (after suitable base and scale transformation of the data to maintain the confidentiality of the classified document). Scope for formulating strategies to enhance the economy of a thermal power generating system has also been explored.     

HEAVY-TAILED-DISTRIBUTED THRESHOLD STOCHASTIC VOLATILITY MODELS IN FINANCIAL TIME SERIES

To capture mean and variance asymmetries and time‐varying volatility in financial time series, we generalize the threshold stochastic volatility (THSV) model and incorporate a heavy‐tailed error distribution. Unlike existing stochastic volatility models, this model simultaneously accounts for uncertainty in the unobserved threshold value and in the time‐delay parameter. Self‐exciting and exogenous threshold variables are considered to investigate the impact of a number of market news variables on volatility changes. Adopting a Bayesian approach, we use Markov chain Monte Carlo methods to estimate all unknown parameters and latent variables. A simulation experiment demonstrates good estimation performance for reasonable sample sizes. In a study of two international financial market indices, we consider two variants of the generalized THSV model, with US market news as the threshold variable. Finally, we compare models using Bayesian forecasting in a value‐at‐risk (VaR) study. The results show that our proposed model can generate more accurate VaR forecasts than can standard models.     

投入产出分析对河北省农业经济的影响

针对河北省当前农业经济发展存在的主要问题，利用投入产出分析法从农业资金投入、产业结构调整、支持保障体系三方面对河北省农业经济的影响进行了分析。对加速河北农业经济持续稳步发展、增加农民收入具有重要的现实意义。