论家族企业传承的途径选择

本文分析了我国家族企业传承问题的现状,通过家族企业各阶段的不同特征来分析三种传承途径的利弊,为家族制企业初创阶段、发展阶段、成熟阶段的传承进行了深入论证,从而推出选择家族成员接班、内部提升任用、引进职业经理人等三种模式。     

亚洲排球运动水平现状分析

亚洲排球水平的绝对领先地位已不复存在。亚洲球队只有结合亚洲各国的实际情况,提高技战术水平,学习国际先进的训练思想与方法,制定目标明确的训练计划,合理地利用信息才能够提高亚洲排球运动水平     

门店选址对大型综合超市经营绩效的影响分析

本文从大型综合超市的特点及其对门店选址的要求出发，分析了门店选址对大型综合超市所产生的收入性和成本性双重影响。就收入性影响而言，门店选址的好坏对大型综合超市的客流量、商品组合及商品档次等将产生直接的影响；就成本性影响来说，门店选址将从租金、宣传费、管理成本等方面产生直接的影响。因此，大型综合超市的选址应注重自身特性并关注其影响经营效绩的各个方面。     

竞争决策算法原理及其应用

全面阐述竞争决策算法的基本概念、原理、算法流程、特点，给出了常用的竞争力函数、决策函数、初始状态、资源交换规则，并以示例来说明该算法的原理、特点及应用。研究内容进一步完善了竞争决策算法的基本理论，在应用方面则降低了算法应用的难度。     

Simulated real-time detection of multiple structural changes: Evidence from Japanese economic growth

An efficient treatment of practical issues on detecting multiple structural changes is presented. The efficacy of this method is examined by comparing the conventional hypothesis-testing method via comprehensive simulations and empirical applications. The method recommended is a model-selection using the Bayesian information criterion and allowing for heteroscedasticity. Empirical results show that the first structural change of Japanese economic growth occurred in 1974Q2, which was detected in 1979Q4, and that the second structural change occurred in 1992Q2, which was detected in 1998Q1. Two advantages of the model-selection method compared to the hypothesis-testing method are also discussed.     

马钢二钢轧总厂低碳易拉丝钢1008的生产实践

结合马钢二钢轧总厂的工艺装备水平,介绍低碳易拉丝钢1008的生产操作实践;详尽分析了该钢种的冶炼、精炼、连铸、轧制工艺及质量控制水平情况.     

关于地方立法的审视和反思

我国现行地方立法的制度设计上有许多不科学之处,地方立法实践中呈现出许多问题,比如立法权的平等性问题、授权立法的形式性问题、立法能力的有限性问题、重复立法和观赏性立法过多等。建议通过修改立法法等手段,赋予所有设区的市(地级市)以地方立法权,进一步扩大地方立法权限,建立地方性法律法规有效期制度和定期清理机制,并且明确中央立法和地方立法的范围和重点,以更好地发挥地方立法的作用。     

“买断工龄”的成因与后果——一个信息经济学分析

随着我国国有企业市场化改革的发展,一些运营困难的企业对内部职工实施了"买断工龄"的政策。在前人研究的基础上,从信息经济学的角度,对"买断工龄"产生的根本原因及后果进行量化分析,具有一定的理论和实践意义。     

行业协会治理中的正式规则与非正式规则

正式规则必须以非正式规则为本源,尊重人们在经济交往中达成的共识才能发挥效力,正式规则将对非正式规则起到进一步固化作用,这是正式规则与非正式规则相兼容的内在逻辑。当前行政性行业协会治理机制失效的根源在于：协会中私人产权主体间非正式谈判机制的日渐形成与协会“自治权”缺失这一正式规则发生根本冲突,以及协会长期以来累积的工作习惯和传统作风这些属于意识形态层面的非正式规则具有较强的独立性,在短期内难以改变。     

Variable selection for first‐order Poisson integer‐valued autoregressive model with covariables

In recent years, modelling count data has become one of the most important and popular topics in time‐series analysis. At the same time, variable selection methods have become widely used in many fields as an effective statistical modelling tool. In this paper, we consider using a variable selection method to solve a modelling problem regarding the first‐order Poisson integer‐valued autoregressive (PINAR(1)) model with covariables. The PINAR(1) model with covariables is widely used in many areas because of its practicality. When using this model to deal with practical problems, multiple covariables are added to the model because it is impossible to know in advance which covariables will affect the results. But the inclusion of some insignificant covariables is almost impossible to avoid. Unfortunately, the usual estimation method is not adequate for the task of deleting the insignificant covariables that cause statistical inferences to become biased. To overcome this defect, we propose a penalised conditional least squares (PCLS) method, which can consistently select the true model. The PCLS estimator is also provided and its asymptotic properties are established. Simulation studies demonstrate that the PCLS method is effective for estimation and variable selection. One practical example is also presented to illustrate the practicability of the PCLS method.