产业集群的阶段性演进机制分析

在对产业集群相关理论进行综述的基础上,提出“地理因素”和“经济因素”两个维度,以此为基础对产业集群的演化过程进行三阶段划分,并对这一演化过程的内在机制和制约条件进行研究。     

进化的精神和生活的道德——鲁迅与契诃夫人生哲学比较论

面对着现实困境的鲁迅与契诃夫都珍视人生的价值,强调人的自我意识与主体力量,但是由于文化传统与历史背景的不同,他们的人生哲学各具特色。鲁迅的人生哲学体现了战斗的进化精神,契诃夫的人生哲学探讨了超脱的生活道德。     

BAYESIAN SUBSET SELECTION AND MODEL AVERAGING USING A CENTRED AND DISPERSED PRIOR FOR THE ERROR VARIANCE

This article proposes a new data‐based prior distribution for the error variance in a Gaussian linear regression model, when the model is used for Bayesian variable selection and model averaging. For a given subset of variables in the model, this prior has a mode that is an unbiased estimator of the error variance but is suitably dispersed to make it uninformative relative to the marginal likelihood. The advantage of this empirical Bayes prior for the error variance is that it is centred and dispersed sensibly and avoids the arbitrary specification of hyperparameters. The performance of the new prior is compared to that of a prior proposed previously in the literature using several simulated examples and two loss functions. For each example our paper also reports results for the model that orthogonalizes the predictor variables before performing subset selection. A real example is also investigated. The empirical results suggest that for both the simulated and real data, the performance of the estimators based on the prior proposed in our article compares favourably with that of a prior used previously in the literature.     

区域制度变迁和中部地区经济发展的战略适应

我国区域制度变迁对中部地区的发展产生了深远影响。文章分析了区域经济新格局下中部地区的区域竞争环境，依据演化理论提出了环境变迁后中部地区区域发展的战略适应观点以及战略适应的现实路径，认为中部地区的战略适应路径在于区域制度创新和经济集聚战略，并就区域制度创新和经济集聚战略实施中的具体问题进行了探讨。     

黑龙江省资源型城市转型中应处理好的几个关系

黑龙江省作为全国煤炭、森林和石油等资源储量大省,随着资源的过度采掘,城市转型中的问题凸显。实证研究分析表明,黑龙江省资源型城市转型应注意城市的可持续发展,建立合理的产业结构,注重资源的利用与节约、环境保护与社会稳定等问题。同时,应处理好解放思想与实事求是、小康社会建设与现行体制、环境建设与社会效益、原有优势与现实差距、社会稳定与发展定位等五个方面关系,从而促进资源型城市转型的顺利进行。     

浅谈振兴东北老工业基地与强化人力资源管理

分析了振兴东北老工业基地面临的形势和困难。提出了为振兴东北老工业基地应从充分挖掘利用东北地区自身的教育资源,加强重点学科人才的培养,树立科学的人才评价观方面提供人才保证。强调指出人力资源管理,在做好应对来自国外挑战准备的同时,还应在管理模式和管理理念上做好与国际接轨的准备,为东北经济走向国际奠定基础。     

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。     

Discrete time modelling of disease incidence time series by using Markov chain Monte Carlo methods

Summary.  A stochastic discrete time version of the susceptible–infected–recovered model for infectious diseases is developed. Disease is transmitted within and between communities when infected and susceptible individuals interact. Markov chain Monte Carlo methods are used to make inference about these unobserved populations and the unknown parameters of interest. The algorithm is designed specifically for modelling time series of reported measles cases although it can be adapted for other infectious diseases with permanent immunity. The application to observed measles incidence series motivates extensions to incorporate age structure as well as spatial epidemic coupling between communities.     

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.     

基于主成分分析的我国西部地区间产业结构转换能力评价

产业结构的演进和转换是经济发展的本质特征,也是促进经济持续稳定协调发展的关键。西部地区产业结构转换能力的地区差异十分明显,本文阐述了影响地区产业结构转换的一般因素,并通过主成分分析方法对影响西部地区产业结构转换的主要因素进行了分析,并对西部各地区产业结构转换能力、转换速度以及转换方向进行了分析评价。