企业道德与企业竞争力

市场经济中企业的经营活动离不开企业道德，良好的企业道德有利于企业与其利益相关者保持和谐的关系，从而保持企业持久竞争力。因此，加强企业道德建设，树立良好的企业道德形象，是当代企业管理者的明智选择。     

Forecast combinations of computational intelligence and linear models for the NN5 time series forecasting competition

In this work we introduce the forecasting model with which we participated in the NN5 forecasting competition (the forecasting of 111 time series representing daily cash withdrawal amounts at ATM machines). The main idea of this model is to utilize the concept of forecast combination, which has proven to be an effective methodology in the forecasting literature. In the proposed system we attempted to follow a principled approach, and make use of some of the guidelines and concepts that are known in the forecasting literature to lead to superior performance. For example, we considered various previous comparison studies and time series competitions as guidance in determining which individual forecasting models to test (for possible inclusion in the forecast combination system). The final model ended up consisting of neural networks, Gaussian process regression, and linear models, combined by simple average. We also paid extra attention to the seasonality aspect, decomposing the seasonality into weekly (which is the strongest one), day of the month, and month of the year seasonality.     

Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction

This paper reports the results of the NN3 competition, which is a replication of the M3 competition with an extension of the competition towards neural network (NN) and computational intelligence (CI) methods, in order to assess what progress has been made in the 10 years since the M3 competition. Two masked subsets of the M3 monthly industry data, containing 111 and 11 empirical time series respectively, were chosen, controlling for multiple data conditions of time series length (short/long), data patterns (seasonal/non-seasonal) and forecasting horizons (short/medium/long). The relative forecasting accuracy was assessed using the metrics from the M3, together with later extensions of scaled measures, and non-parametric statistical tests. The NN3 competition attracted 59 submissions from NN, CI and statistics, making it the largest CI competition on time series data. Its main findings include: (a) only one NN outperformed the damped trend using the sMAPE, but more contenders outperformed the AutomatANN of the M3; (b) ensembles of CI approaches performed very well, better than combinations of statistical methods; (c) a novel, complex statistical method outperformed all statistical and CI benchmarks; and (d) for the most difficult subset of short and seasonal series, a methodology employing echo state neural networks outperformed all others. The NN3 results highlight the ability of NN to handle complex data, including short and seasonal time series, beyond prior expectations, and thus identify multiple avenues for future research.     

竞争条件下公司投资策略的期权博弈

文章认为在未来不确定的条件下投资主体可以通过推迟投资获取新的信息,减少部分关于投资的不确定性,因此,未来的不确定性隐含着推迟的期权,文章运用博弈理论分析了竞争条件下公司间的投资策略的期权博弈。     

Multi-sectoral interdependencies of regional public infrastructure investments

Public investment decision-making processes involve multiple and interrelated sectoral and regional policy objectives and budget constraints. This paper presents a dynamic spatio-economic model that considers multi-sectoral investment interdependencies using data at the prefecture level in Greece. The expenditure allocation dynamics of most types of regional public investment are found to be competitive with each other. This outcome is attributed to the lack of policy coordination, technological and budget constraints, geographical factors, and equity and political considerations. The investment interrelationships may have a significant effect on future state funding needs and the strategic assessment of infrastructure development at the country level.     

旅行社价格战的博弈分析

旅行社是旅游产品设计、组织和销售的渠道商以及消费者之间的桥梁.旅行社对旅游业具有重要影响，旅行社之间的价格竞争日益严重，盈利率低。随着我国加入世贸组织，越来越多的外国旅行社进入我国、针对我国旅行社如何走出困境，本文从博弈角度分析旅行社的价格竞争及其对策。     

基于生态学的工艺创新竞争博弈模型分析

分析了工艺创新竞争的先动者劣势、共生共荣性两大特点,以工艺创新能力的逻辑斯蒂增长模型为基础,基于生态学的捕食、竞争与竞合建立了相应的工艺创新竞争博弈模型,并分别探讨了博弈模型均衡解的稳定性。     

我国煤炭产业过度竞争原因及对策

目前我国煤炭产业低级低效、高度分散的竞争型市场结构,即理论上称的“原子型”结构,是造成我国煤炭产业过度竞争的原因。煤炭过度竞争使我国煤炭资源浪费、资源价格扭曲、部分国有企业亏损严重和煤炭行业效益持续低下,解决我国煤炭过度竞争必须通过提高产业进入门槛,降低产业退出门槛,提高煤炭产业的集中度,实施大型煤炭企业集团战略并对此给予必要的政策扶持。     

How to measure competition in an economy in transition

This paper attempts to find a robust method of measuring competition when firms' operational activities are subject to frictions. The first part theoretically tests the indicative quality of two competition measures, the price‐cost margin (PCM) and the profit elasticity, in a model of monopolistic competition. The second part studies the empirical performance of the indices for a panel of Ukrainian manufacturing firms. This study offers a new approach to measuring profit elasticity that relies on structural estimation of a production function. The estimation methodology retrieves a productivity index that is adjusted to imperfect competition. The proposed method of measuring profit elasticity is found to be robust to frictions, but the PCM and traditional profit elasticity are biased, especially when the intensity of competition is low. Empirical findings show that competition exhibits a significantly positive correlation with aggregate productivity performance, while its impact on firm productivity is nonlinear.     

外资进入武汉物流市场的现状及对策

武汉以优越的地理位置,良好的交通设施,雄厚的科技和产业实力吸引了外资,形成了新的竞争环境,文中以运输环境作为对象,分析了外资进入物流市场给内地物流带来的机遇和挑战.