Dynamic decision and coordination in a low-carbon supply chain considering the retailer's social preference

We establish dynamic game models in a low-carbon supply chain consisting of a single manufacturer and a single retailer with social preference. This study investigates the complex dynamic characteristics of pricing decision and carbon abatement strategy in the supply chain and focuses on the impact of the retailer's social preference on pricing decision, carbon emission abatement strategy, profits, supply chain coordination, and complexity of dynamic models. We find that adjustment parameters of pricing and carbon emission abatement should be maintained in a certain range; otherwise, the system will be unstable and even chaotic through period double bifurcation or wave shape chaos. A higher social preference of the retailer is always beneficial to carbon abatement and the manufacturer and helps maintain the stability of the supply chain system. However, the impact on the long-term profitability of the supply chain is related to the state of the system. Compared with the setting of a centralized decision, the optimal carbon abatement strategy and supply chain profit in a decentralized decision are always less than those in a centralized setting, regardless of whether the retailer has social preference. Therefore, a side-payment self-executing contract is designed to coordinate the supply chain and achieve Pareto improvement. The coordination mechanism proposed in this study not only leads to Pareto improvement but also increases the stability of the supply chain system. Finally, this study enlightens management in operating a low-carbon supply chain.     

Financial liberalization: Poverty trap or chaos

We construct an overlapping generations model in which people are subject to limited pledgeability and uncertainty over entrepreneurial projects. We show that whether financial liberalization generates a poverty trap, an endogenous fluctuation, or both depends on the interaction of pledgeability and uncertainty. Endogenous fluctuation requires a high level of both pledgeability and uncertainty. Poverty trap requires a low level of both. For an intermediate level of both, the initially poor are trapped in poverty while the initially rich fluctuate endogenously.     

混沌在数字通信中的应用

我国高校的国际商务英语专业在经历了20多年的办学历程之后,今天面临着从理论的高度进行整顿、提高的任务。本文发出了“加强理论建设,把我国高校的国际商务英语专业发展成为在理论与实践的结合上更为成熟的独立学科”的呼吁,并阐述了作者对有关国际商务英语学科建设的几个重大问题的看法。     

上市公司股权制衡的混沌模型

上市公司股权结构问题一直是公司治理的焦点,目前的研究都运用线性研究方法,但其得出的结论往往很难解释呈现非线性的经济现象。本文的创新之处在于:运用新经济理论与混沌理论相结合的非线性思维的方法,利用最新的上市公司财务数据分析了大股东的最佳持股比例范围,设计了上市公司大股东持股的混沌模型,从而得出第一大股东持股比例范围在(0,19.21%)为佳,并在此基础上利用Logistic方程,构建了理想的上市公司股权制衡模型。     

A note on the Wang and Wang measure of the quality of the compass rose

H. Wang and C. Wang [Visibility of the compass rose in financial asset returns: A quantitative study, J. Bank. Financ. 26 (2002), 1099–1111] derive a measure of the visibility of the radial patterns that appear in a plot of current and past returns, which are more commonly known as the compass rose. In theory, this measure should be positively related to the tick/volatility ratio. In practice however, we find that this relationship does not hold for higher tick/volatility ratios that are common to stock market data. Thus, the use of this measure is limited in real world applications. We propose a correction factor that improves the behaviour of the quality measure over higher tick/volatility ratios, however, further research is required to fully identify and correct the problem.     

The complexity of consumer experience formulation in the sharing economy

The study examines the complexity of the factors that influence overall perception among tourists who use peer-to-peer accommodation during their vacations. More specifically, it employs fuzzy-set Qualitative Comparative Analysis to analyse data from a sample of 712 peer-to-peer holidaymakers visiting Athens, Greece, and examines the socio-demographics of age and income along with the simple attributes of perceived risks, marketing and advertising, social aspects, and price and quality issues. The findings reveal three sufficient configurations that are able to influence the overall experience: (i) the price-quality nexus, (ii) risk perspective, and (iii) social interaction. The research also compares nonlinear analysis with the dominant parametric methods in tourism and hospitality research (regression; Cramer’s V), highlighting the suitability of the former for complexity examination. It further progresses from fit to predictive validity for the examined models, and contributes to both theoretical and methodological domains.     

金融市场的复杂性与金融风险调控：基于金融混沌理论

以金融混沌理论为代表的非线性金融理论是金融研究与金融实务领域的一个前沿工具.已有的研究表明金融市场是一个复杂的动力系统,具有显著的混沌效应.本文依据混沌控制的一般原理,提出了金融市场风险调控的原理与方法.这一研究结果将为探索金融市场与风险管理理论提供新的方向.     

Diversity, persistence and chaos in consumption patterns

In this paper we present a model from which discretionary consumption dynamics can be analyzed as global properties emerging from the endogenous transformation of a society inhabited by boundedly rational interactive consumers. By considering local and global interactions among consumers, we show that behavioral diversity plays a central role in the evolution of consumption patterns. The analysis of the model reveals the existence of a regime characterized by the persistence of different social standards, and a time evolution of the social distribution of behavioral patterns towards a heteroclinic cycle. In some cases the evolution seems to be chaotic, generating unpredictable, erratic dynamics of the aggregate social indices (average or social propensity for discretionary consumption).      

Indivisible labor implies chaos

Summary. We study a simple infinite horizon model with indivisible labor. We characterize the optimal plans under the assumptions that and that , where R is the gross interest rate and is the discount factor. We show that under those assumptions, optimal plans are almost always asymptotically nonperiodic unless initial wealth is excessively small or large. Received: May 25, 1999; revised version: June 24, 1999     

基于Lotka-Volterra模型的中国股票市场非线性特征—— 一个生态学的视角

股票市场是一个非线性的复杂动力系统,将生态学的多种群Lotka-Volterra竞争模型进行改进后引入到股票市场,通过系统仿真,模拟中国股市运行,得出了类似于股票市场运行的非线性特征,为研究股市复杂性提供了新思路。