移动技术教学之我见

本文对移动在篮球运动中的重要意义和作用,进行了深入的研究,对移动的教学方法进行了实践和总结。     

碳限额与交易约束下的企业制造/再制造生产决策

目的/意义随着再制造经济效益和环境效益凸显,越来越多的企业进入再制造领域,与原制造商进行竞争或合作。考虑到碳排放约束,企业面临的生产决策更加复杂。设计/方法基于消费者对新产品和再制造产品的异质需求,构建了制造商和再制造商之间的竞争与合作博弈模型,探讨碳税对制造/再制造决策的影响;结合数值仿真,分析了竞争与合作模式下碳税对企业利润及碳排放的影响。结论/发现不同模式下,企业可根据再制造产品碳排放强度选择不同的生产策略;碳税总是会抑制新产品的生产,当再制造产品碳排放强度低于一定数值时,碳税会促进再制造产品的生产;再制造商竞争会挤兑新产品,使制造商利润减少,再制造门槛提高;当碳税不超过一定限度时,合作模式能够实现经济效益和环境效益双赢。     

格式条款规制标准研究

目的/意义 平台经营者掌握着优势的规制权力,且可能对平台内经营者实施排他、歧视和剥削等不合理限制交易的行为,直接损害平台内经营者的合法权益,阻碍平台市场的自由和公平竞争,迫切需要法律规制。 设计/方法 通过对《电子商务法》实施前的法律规制体系梳理,可知平台经营者不合理限制交易的格式条款规制和竞争法规制兼存在漏洞。一方面,提示说明义务弱化、公平原则适用困难、平台规则备案审查作用有限,使格式条款规制体系无力应对;另一方面,不合理限制交易行为难以被《反垄断法》和《反不正当竞争法》规制体系完全覆盖。 结论/发现 《电子商务法》第35条通过设置不合理限制交易的“禁止+合理抗辩”条款,专门规定行政法律责任,是对平台经营者不合理限制交易法律规制的发展。《电子商务法》第35条所蕴含的“相对优势地位”“不合理限制”“明显不合理限制”等关键实施要点,有待进一步丰富、充实。     

非H封闭式周转轮系的效率分析

根据输入件不同,本文研究了非H封闭式周转轮系效率,基于Matlab软件对非H封闭式周转轮的效率与传动比的关系进行研究,为根据传动比确定合适的基础机构的型式提供了理论依据.     

中国都市密集区市际关系中存在的问题及其应对

当前，中国都市密集区市际关系中存在的问题包括产业结构趋同、恶性竞争、城市定位重复混乱、地方保护主义以及基础设施重复建设等。都市密集区市际关系中存在的复杂问题，与市际关系协调机制不成熟、不完善密切相关。创新都市密集区市际关系协调的制度和机制，实现协调主体的多元化、方式多样化、目标长期化，是当前都市密集区发展中殊为迫切的任务。     

城市人口密度、国内市场规模与就业增长

我国经济“高增长、低就业”现象的原因在于我国贸易成本过高，国内市场规模较少。解决我国就业问题的关键在于减少行政干预，顺应市场要求，促进人口在空间上的适度集中，提高人口密度，提高消费效率，扩大市场规模。应进一步完善城乡一体的户籍制度，完善整合城乡劳动力市场，提高要素流动能力等。     

大学生数学建模竞赛几个相关问题的研究

数学建模竞赛已成为全球重点综合性大学数学教学工作中的一项“重头戏” ,成为评价大学数学教学水平的一项重要指标。数学建模对培养学生的素质特别是培养大学生创新能力和团队精神有着重大的意义 ;提高大学生数学建模竞赛水平关键在于教学组织工作 ,并要时时跟踪数学建模竞赛的特点和未来的发展走向。     

Inference in Semi‐Parametric Dynamic Models for Repeated Count Data

This paper deals with a longitudinal semi‐parametric regression model in a generalised linear model setup for repeated count data collected from a large number of independent individuals. To accommodate the longitudinal correlations, we consider a dynamic model for repeated counts which has decaying auto‐correlations as the time lag increases between the repeated responses. The semi‐parametric regression function involved in the model contains a specified regression function in some suitable time‐dependent covariates and a non‐parametric function in some other time‐dependent covariates. As far as the inference is concerned, because the non‐parametric function is of secondary interest, we estimate this function consistently using the independence assumption‐based well‐known quasi‐likelihood approach. Next, the proposed longitudinal correlation structure and the estimate of the non‐parametric function are used to develop a semi‐parametric generalised quasi‐likelihood approach for consistent and efficient estimation of the regression effects in the parametric regression function. The finite sample performance of the proposed estimation approach is examined through an intensive simulation study based on both large and small samples. Both balanced and unbalanced cluster sizes are incorporated in the simulation study. The asymptotic performances of the estimators are given. The estimation methodology is illustrated by reanalysing the well‐known health care utilisation data consisting of counts of yearly visits to a physician by 180 individuals for four years and several important primary and secondary covariates.     

Empirical Likelihood for the Additive Hazards Model with Current Status Data

We investigate empirical likelihood for the additive hazards model with current status data. An empirical log-likelihood ratio for a vector or subvector of regression parameters is defined and its limiting distribution is shown to be a standard chi-squared distribution. The proposed inference procedure enables us to make empirical likelihood-based inference for the regression parameters. Finite sample performance of the proposed method is assessed in simulation studies to compare with that of a normal approximation method, it shows that the empirical likelihood method provides more accurate inference than the normal approximation method. A real data example is used for illustration.     

On the Joint Estimation of Heterogeneous Technologies,Technical, and Allocative Inefficiency

In this article, we provide a semiparametric approach to the joint measurement of technical and allocative inefficiency in a way that the internal consistency of the specification of allocative errors in the objective function (e.g., cost function) and the derivative equations (e.g., share or input demand functions) is assured. We start from the Cobb–Douglas production and shadow cost system. We show that the shadow cost system has a closed-form likelihood function contrary to what was previously thought. In turn, we use the method of local maximum likelihood applied to a system of equations to obtain firm-specific parameter estimates (which reveal heterogeneity in production) as well as measures of technical and allocative inefficiency and its cost. We illustrate its practical application using data on U.S. electric utilities.